Fine Tuning _Efficient net-other api.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0e4df1fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install git+https://github.com/sebastian-sz/efficientnet-v2-keras@main"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b1d45145",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os \n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from glob import glob\n",
    "from tqdm.auto import tqdm\n",
    "import cv2\n",
    "\n",
    "import efficientnet\n",
    "import efficientnet.tfkeras as efn\n",
    "from efficientnet_v2 import EfficientNetV2L, EfficientNetV2S, EfficientNetV2B0\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.models import Sequential, Model\n",
    "from tensorflow.keras.layers import Flatten, Dense, Dropout, GlobalAveragePooling2D, Input\n",
    "import tensorflow.keras as keras\n",
    "from tensorflow.data import Dataset\n",
    "\n",
    "import tensorflow_addons as tfa\n",
    "from tensorflow.keras.optimizers import Adam, RMSprop\n",
    "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(action='ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "76cdefb1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_train_data(data_dir):\n",
    "    img_path_list = []\n",
    "    label_list = []\n",
    "    for case_name in os.listdir(data_dir):\n",
    "        current_path = os.path.join(data_dir, case_name)\n",
    "        if os.path.isdir(current_path):\n",
    "            # get image path\n",
    "            img_path_list.extend(glob(os.path.join(current_path, 'image', '*.jpg')))\n",
    "            img_path_list.extend(glob(os.path.join(current_path, 'image', '*.png')))\n",
    "            \n",
    "            # get label\n",
    "            label_df =pd.read_csv(current_path+'/label-{}.csv'.format(int(case_name[-2:])))\n",
    "            label_list.extend(label_df['leaf_weight'])\n",
    "                \n",
    "    return img_path_list, label_list\n",
    "\n",
    "def get_test_data(data_dir):\n",
    "    # get image path\n",
    "    img_path_list = glob(os.path.join(data_dir, 'image', '*.jpg'))\n",
    "    img_path_list.extend(glob(os.path.join(data_dir, 'image', '*.png')))\n",
    "    img_path_list.sort(key=lambda x:int(x.split('/')[-1].split('.')[0]))\n",
    "    return img_path_list\n",
    "\n",
    "def load_img_numpy(img_dir, target_size) :\n",
    "    img = cv2.imread(img_dir)\n",
    "    img = cv2.resize(img, dsize=target_size)\n",
    "    img = (img.astype(np.float32) - 128.0 ) / 128.0\n",
    "    return img\n",
    "\n",
    "def create_dataset(img_dir, label, target_size, batch_size=None) :    \n",
    "    img = [] # 원본이미지\n",
    "    \n",
    "    ## 최적화가 필요한 부분\n",
    "    for i in img_dir:\n",
    "        image = load_img_numpy(i, target_size)\n",
    "        img.append(image)\n",
    "        \n",
    "    x = Dataset.from_tensor_slices(img)\n",
    "    y = Dataset.from_tensor_slices(label)\n",
    "    dataset = Dataset.zip((x, y))\n",
    "    \n",
    "    if batch_size is not None:\n",
    "        dataset = dataset.batch(batch_size, drop_remainder=True).repeat()\n",
    "   \n",
    "    return dataset\n",
    "\n",
    "def load_test_img_numpy(img_dir, target_size) :\n",
    "    img = cv2.imread(img_dir)\n",
    "    img = cv2.resize(img, dsize=target_size)\n",
    "    img = (img.astype(np.float32) - 128.0 ) / 128.0\n",
    "    return img\n",
    "\n",
    "def create_test_dataset(img_dir, target_size, batch_size=None) :\n",
    "    file_name = [x.split('/')[-1][:-4] for x in img_dir]\n",
    "    x_img = []\n",
    "\n",
    "    for i in tqdm(img_dir,\n",
    "                total=len(img_dir),\n",
    "                position=0,\n",
    "                leave=True):\n",
    "        img = load_test_img_numpy(i, target_size)\n",
    "        x_img.append(img)\n",
    "\n",
    "    dataset = Dataset.from_tensor_slices(x_img)\n",
    "    \n",
    "    if batch_size is not None :\n",
    "        dataset = dataset.batch(batch_size, drop_remainder=True).repeat()\n",
    "       \n",
    "    return dataset, file_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "47cf8a12",
   "metadata": {},
   "outputs": [],
   "source": [
    "IMAGE_SIZE = 480\n",
    "BATCH_SIZE = 8\n",
    "\n",
    "all_img_path, all_label = get_train_data('./data/train')\n",
    "test_img_path = get_test_data('./data/test')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a52370b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Train : Validation = 0.8 : 0.2 Split\n",
    "train_len = int(len(all_img_path)*0.8)\n",
    "\n",
    "train_img_path = all_img_path[:train_len]\n",
    "train_label = all_label[:train_len]\n",
    "\n",
    "vali_img_path = all_img_path[train_len:]\n",
    "vali_label = all_label[train_len:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c4e13ec0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-05-11 15:49:45.681305: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 3519590400 exceeds 10% of free system memory.\n",
      "2022-05-11 15:56:46.913169: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 881971200 exceeds 10% of free system memory.\n"
     ]
    }
   ],
   "source": [
    "train_dataset = create_dataset(train_img_path, train_label, (IMAGE_SIZE, IMAGE_SIZE), BATCH_SIZE)\n",
    "valid_dataset = create_dataset(vali_img_path, vali_label, (IMAGE_SIZE, IMAGE_SIZE), BATCH_SIZE )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16225687",
   "metadata": {},
   "source": [
    "# EfficientNet V2 L\n",
    "\n",
    "- https://www.wenyanet.com/opensource/ko/62386272dc72912a2b5ca0f2.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "168635fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "LEARNING_RATE = 1e-4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0b50dc50",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "data_augmentation = tf.keras.Sequential([\n",
    "  tf.keras.layers.experimental.preprocessing.RandomFlip('horizontal_and_vertical'),\n",
    "  tf.keras.layers.experimental.preprocessing.RandomRotation(0.2),\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d9622aa4",
   "metadata": {},
   "outputs": [],
   "source": [
    "input_data = Input((IMAGE_SIZE, IMAGE_SIZE, 3))\n",
    "x = tf.keras.layers.experimental.preprocessing.RandomFlip('horizontal_and_vertical')(input_data)\n",
    "output_data = tf.keras.layers.experimental.preprocessing.RandomRotation(0.2)(x)\n",
    "preprocess = Model(inputs=input_data, outputs=output_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f283f567",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://github.com/sebastian-sz/efficientnet-v2-keras/releases/download/v2.0/efficientnetv2-l_notop.h5\n",
      "473276416/473268248 [==============================] - 62s 0us/step\n"
     ]
    }
   ],
   "source": [
    "base_model = EfficientNetV2L(\n",
    "    weights='imagenet',\n",
    "    include_top = False,\n",
    "    input_shape = (IMAGE_SIZE, IMAGE_SIZE, 3)\n",
    ")\n",
    "base_model.trainable = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b30b6958",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"efficientnetv2-l\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            [(None, 480, 480, 3) 0                                            \n",
      "__________________________________________________________________________________________________\n",
      "stem_conv (Conv2D)              (None, 240, 240, 32) 864         input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "stem_bn (BatchNormalization)    (None, 240, 240, 32) 128         stem_conv[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "stem_activation (Activation)    (None, 240, 240, 32) 0           stem_bn[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "block1-01_project_conv (Conv2D) (None, 240, 240, 32) 9216        stem_activation[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "block1-01_project_bn (BatchNorm (None, 240, 240, 32) 128         block1-01_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block1-01_project_activation (A (None, 240, 240, 32) 0           block1-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block1-01_add (Add)             (None, 240, 240, 32) 0           block1-01_project_activation[0][0\n",
      "                                                                 stem_activation[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "block1-02_project_conv (Conv2D) (None, 240, 240, 32) 9216        block1-01_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block1-02_project_bn (BatchNorm (None, 240, 240, 32) 128         block1-02_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block1-02_project_activation (A (None, 240, 240, 32) 0           block1-02_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block1-02_drop (Dropout)        (None, 240, 240, 32) 0           block1-02_project_activation[0][0\n",
      "__________________________________________________________________________________________________\n",
      "block1-02_add (Add)             (None, 240, 240, 32) 0           block1-02_drop[0][0]             \n",
      "                                                                 block1-01_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block1-03_project_conv (Conv2D) (None, 240, 240, 32) 9216        block1-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block1-03_project_bn (BatchNorm (None, 240, 240, 32) 128         block1-03_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block1-03_project_activation (A (None, 240, 240, 32) 0           block1-03_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block1-03_drop (Dropout)        (None, 240, 240, 32) 0           block1-03_project_activation[0][0\n",
      "__________________________________________________________________________________________________\n",
      "block1-03_add (Add)             (None, 240, 240, 32) 0           block1-03_drop[0][0]             \n",
      "                                                                 block1-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block1-04_project_conv (Conv2D) (None, 240, 240, 32) 9216        block1-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block1-04_project_bn (BatchNorm (None, 240, 240, 32) 128         block1-04_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block1-04_project_activation (A (None, 240, 240, 32) 0           block1-04_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block1-04_drop (Dropout)        (None, 240, 240, 32) 0           block1-04_project_activation[0][0\n",
      "__________________________________________________________________________________________________\n",
      "block1-04_add (Add)             (None, 240, 240, 32) 0           block1-04_drop[0][0]             \n",
      "                                                                 block1-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-01_expand_conv (Conv2D)  (None, 120, 120, 128 36864       block1-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-01_expand_bn (BatchNorma (None, 120, 120, 128 512         block2-01_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block2-01_expand_activation (Ac (None, 120, 120, 128 0           block2-01_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2-01_project_conv (Conv2D) (None, 120, 120, 64) 8192        block2-01_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block2-01_project_bn (BatchNorm (None, 120, 120, 64) 256         block2-01_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block2-02_expand_conv (Conv2D)  (None, 120, 120, 256 147456      block2-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2-02_expand_bn (BatchNorma (None, 120, 120, 256 1024        block2-02_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block2-02_expand_activation (Ac (None, 120, 120, 256 0           block2-02_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2-02_project_conv (Conv2D) (None, 120, 120, 64) 16384       block2-02_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block2-02_project_bn (BatchNorm (None, 120, 120, 64) 256         block2-02_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block2-02_drop (Dropout)        (None, 120, 120, 64) 0           block2-02_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2-02_add (Add)             (None, 120, 120, 64) 0           block2-02_drop[0][0]             \n",
      "                                                                 block2-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2-03_expand_conv (Conv2D)  (None, 120, 120, 256 147456      block2-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-03_expand_bn (BatchNorma (None, 120, 120, 256 1024        block2-03_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block2-03_expand_activation (Ac (None, 120, 120, 256 0           block2-03_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2-03_project_conv (Conv2D) (None, 120, 120, 64) 16384       block2-03_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block2-03_project_bn (BatchNorm (None, 120, 120, 64) 256         block2-03_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block2-03_drop (Dropout)        (None, 120, 120, 64) 0           block2-03_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2-03_add (Add)             (None, 120, 120, 64) 0           block2-03_drop[0][0]             \n",
      "                                                                 block2-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-04_expand_conv (Conv2D)  (None, 120, 120, 256 147456      block2-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-04_expand_bn (BatchNorma (None, 120, 120, 256 1024        block2-04_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block2-04_expand_activation (Ac (None, 120, 120, 256 0           block2-04_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2-04_project_conv (Conv2D) (None, 120, 120, 64) 16384       block2-04_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block2-04_project_bn (BatchNorm (None, 120, 120, 64) 256         block2-04_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block2-04_drop (Dropout)        (None, 120, 120, 64) 0           block2-04_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2-04_add (Add)             (None, 120, 120, 64) 0           block2-04_drop[0][0]             \n",
      "                                                                 block2-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-05_expand_conv (Conv2D)  (None, 120, 120, 256 147456      block2-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-05_expand_bn (BatchNorma (None, 120, 120, 256 1024        block2-05_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block2-05_expand_activation (Ac (None, 120, 120, 256 0           block2-05_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2-05_project_conv (Conv2D) (None, 120, 120, 64) 16384       block2-05_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block2-05_project_bn (BatchNorm (None, 120, 120, 64) 256         block2-05_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block2-05_drop (Dropout)        (None, 120, 120, 64) 0           block2-05_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2-05_add (Add)             (None, 120, 120, 64) 0           block2-05_drop[0][0]             \n",
      "                                                                 block2-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-06_expand_conv (Conv2D)  (None, 120, 120, 256 147456      block2-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-06_expand_bn (BatchNorma (None, 120, 120, 256 1024        block2-06_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block2-06_expand_activation (Ac (None, 120, 120, 256 0           block2-06_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2-06_project_conv (Conv2D) (None, 120, 120, 64) 16384       block2-06_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block2-06_project_bn (BatchNorm (None, 120, 120, 64) 256         block2-06_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block2-06_drop (Dropout)        (None, 120, 120, 64) 0           block2-06_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2-06_add (Add)             (None, 120, 120, 64) 0           block2-06_drop[0][0]             \n",
      "                                                                 block2-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-07_expand_conv (Conv2D)  (None, 120, 120, 256 147456      block2-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block2-07_expand_bn (BatchNorma (None, 120, 120, 256 1024        block2-07_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block2-07_expand_activation (Ac (None, 120, 120, 256 0           block2-07_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2-07_project_conv (Conv2D) (None, 120, 120, 64) 16384       block2-07_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block2-07_project_bn (BatchNorm (None, 120, 120, 64) 256         block2-07_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block2-07_drop (Dropout)        (None, 120, 120, 64) 0           block2-07_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2-07_add (Add)             (None, 120, 120, 64) 0           block2-07_drop[0][0]             \n",
      "                                                                 block2-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-01_expand_conv (Conv2D)  (None, 60, 60, 256)  147456      block2-07_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-01_expand_bn (BatchNorma (None, 60, 60, 256)  1024        block3-01_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block3-01_expand_activation (Ac (None, 60, 60, 256)  0           block3-01_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3-01_project_conv (Conv2D) (None, 60, 60, 96)   24576       block3-01_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block3-01_project_bn (BatchNorm (None, 60, 60, 96)   384         block3-01_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block3-02_expand_conv (Conv2D)  (None, 60, 60, 384)  331776      block3-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3-02_expand_bn (BatchNorma (None, 60, 60, 384)  1536        block3-02_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block3-02_expand_activation (Ac (None, 60, 60, 384)  0           block3-02_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3-02_project_conv (Conv2D) (None, 60, 60, 96)   36864       block3-02_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block3-02_project_bn (BatchNorm (None, 60, 60, 96)   384         block3-02_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block3-02_drop (Dropout)        (None, 60, 60, 96)   0           block3-02_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3-02_add (Add)             (None, 60, 60, 96)   0           block3-02_drop[0][0]             \n",
      "                                                                 block3-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3-03_expand_conv (Conv2D)  (None, 60, 60, 384)  331776      block3-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-03_expand_bn (BatchNorma (None, 60, 60, 384)  1536        block3-03_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block3-03_expand_activation (Ac (None, 60, 60, 384)  0           block3-03_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3-03_project_conv (Conv2D) (None, 60, 60, 96)   36864       block3-03_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block3-03_project_bn (BatchNorm (None, 60, 60, 96)   384         block3-03_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block3-03_drop (Dropout)        (None, 60, 60, 96)   0           block3-03_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3-03_add (Add)             (None, 60, 60, 96)   0           block3-03_drop[0][0]             \n",
      "                                                                 block3-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-04_expand_conv (Conv2D)  (None, 60, 60, 384)  331776      block3-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-04_expand_bn (BatchNorma (None, 60, 60, 384)  1536        block3-04_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block3-04_expand_activation (Ac (None, 60, 60, 384)  0           block3-04_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3-04_project_conv (Conv2D) (None, 60, 60, 96)   36864       block3-04_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block3-04_project_bn (BatchNorm (None, 60, 60, 96)   384         block3-04_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block3-04_drop (Dropout)        (None, 60, 60, 96)   0           block3-04_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3-04_add (Add)             (None, 60, 60, 96)   0           block3-04_drop[0][0]             \n",
      "                                                                 block3-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-05_expand_conv (Conv2D)  (None, 60, 60, 384)  331776      block3-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-05_expand_bn (BatchNorma (None, 60, 60, 384)  1536        block3-05_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block3-05_expand_activation (Ac (None, 60, 60, 384)  0           block3-05_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3-05_project_conv (Conv2D) (None, 60, 60, 96)   36864       block3-05_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block3-05_project_bn (BatchNorm (None, 60, 60, 96)   384         block3-05_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block3-05_drop (Dropout)        (None, 60, 60, 96)   0           block3-05_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3-05_add (Add)             (None, 60, 60, 96)   0           block3-05_drop[0][0]             \n",
      "                                                                 block3-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-06_expand_conv (Conv2D)  (None, 60, 60, 384)  331776      block3-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-06_expand_bn (BatchNorma (None, 60, 60, 384)  1536        block3-06_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block3-06_expand_activation (Ac (None, 60, 60, 384)  0           block3-06_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3-06_project_conv (Conv2D) (None, 60, 60, 96)   36864       block3-06_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block3-06_project_bn (BatchNorm (None, 60, 60, 96)   384         block3-06_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block3-06_drop (Dropout)        (None, 60, 60, 96)   0           block3-06_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3-06_add (Add)             (None, 60, 60, 96)   0           block3-06_drop[0][0]             \n",
      "                                                                 block3-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-07_expand_conv (Conv2D)  (None, 60, 60, 384)  331776      block3-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block3-07_expand_bn (BatchNorma (None, 60, 60, 384)  1536        block3-07_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block3-07_expand_activation (Ac (None, 60, 60, 384)  0           block3-07_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3-07_project_conv (Conv2D) (None, 60, 60, 96)   36864       block3-07_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block3-07_project_bn (BatchNorm (None, 60, 60, 96)   384         block3-07_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block3-07_drop (Dropout)        (None, 60, 60, 96)   0           block3-07_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3-07_add (Add)             (None, 60, 60, 96)   0           block3-07_drop[0][0]             \n",
      "                                                                 block3-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_expand_conv (Conv2D)  (None, 60, 60, 384)  36864       block3-07_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_expand_bn (BatchNorma (None, 60, 60, 384)  1536        block4-01_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_expand_activation (Ac (None, 60, 60, 384)  0           block4-01_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_dwconv2 (DepthwiseCon (None, 30, 30, 384)  3456        block4-01_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block4-01_bn (BatchNormalizatio (None, 30, 30, 384)  1536        block4-01_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_activation (Activatio (None, 30, 30, 384)  0           block4-01_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_se_squeeze (GlobalAve (None, 384)          0           block4-01_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_se_reshape (Reshape)  (None, 1, 1, 384)    0           block4-01_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_se_reduce (Conv2D)    (None, 1, 1, 24)     9240        block4-01_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_se_expand (Conv2D)    (None, 1, 1, 384)    9600        block4-01_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_se_excite (Multiply)  (None, 30, 30, 384)  0           block4-01_activation[0][0]       \n",
      "                                                                 block4-01_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_project_conv (Conv2D) (None, 30, 30, 192)  73728       block4-01_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-01_project_bn (BatchNorm (None, 30, 30, 192)  768         block4-01_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_expand_conv (Conv2D)  (None, 30, 30, 768)  147456      block4-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_expand_bn (BatchNorma (None, 30, 30, 768)  3072        block4-02_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_expand_activation (Ac (None, 30, 30, 768)  0           block4-02_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_dwconv2 (DepthwiseCon (None, 30, 30, 768)  6912        block4-02_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block4-02_bn (BatchNormalizatio (None, 30, 30, 768)  3072        block4-02_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_activation (Activatio (None, 30, 30, 768)  0           block4-02_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_se_squeeze (GlobalAve (None, 768)          0           block4-02_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_se_reshape (Reshape)  (None, 1, 1, 768)    0           block4-02_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_se_reduce (Conv2D)    (None, 1, 1, 48)     36912       block4-02_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_se_expand (Conv2D)    (None, 1, 1, 768)    37632       block4-02_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_se_excite (Multiply)  (None, 30, 30, 768)  0           block4-02_activation[0][0]       \n",
      "                                                                 block4-02_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_project_conv (Conv2D) (None, 30, 30, 192)  147456      block4-02_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_project_bn (BatchNorm (None, 30, 30, 192)  768         block4-02_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_drop (Dropout)        (None, 30, 30, 192)  0           block4-02_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-02_add (Add)             (None, 30, 30, 192)  0           block4-02_drop[0][0]             \n",
      "                                                                 block4-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_expand_conv (Conv2D)  (None, 30, 30, 768)  147456      block4-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_expand_bn (BatchNorma (None, 30, 30, 768)  3072        block4-03_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_expand_activation (Ac (None, 30, 30, 768)  0           block4-03_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_dwconv2 (DepthwiseCon (None, 30, 30, 768)  6912        block4-03_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block4-03_bn (BatchNormalizatio (None, 30, 30, 768)  3072        block4-03_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_activation (Activatio (None, 30, 30, 768)  0           block4-03_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_se_squeeze (GlobalAve (None, 768)          0           block4-03_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_se_reshape (Reshape)  (None, 1, 1, 768)    0           block4-03_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_se_reduce (Conv2D)    (None, 1, 1, 48)     36912       block4-03_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_se_expand (Conv2D)    (None, 1, 1, 768)    37632       block4-03_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_se_excite (Multiply)  (None, 30, 30, 768)  0           block4-03_activation[0][0]       \n",
      "                                                                 block4-03_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_project_conv (Conv2D) (None, 30, 30, 192)  147456      block4-03_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_project_bn (BatchNorm (None, 30, 30, 192)  768         block4-03_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_drop (Dropout)        (None, 30, 30, 192)  0           block4-03_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-03_add (Add)             (None, 30, 30, 192)  0           block4-03_drop[0][0]             \n",
      "                                                                 block4-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_expand_conv (Conv2D)  (None, 30, 30, 768)  147456      block4-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_expand_bn (BatchNorma (None, 30, 30, 768)  3072        block4-04_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_expand_activation (Ac (None, 30, 30, 768)  0           block4-04_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_dwconv2 (DepthwiseCon (None, 30, 30, 768)  6912        block4-04_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block4-04_bn (BatchNormalizatio (None, 30, 30, 768)  3072        block4-04_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_activation (Activatio (None, 30, 30, 768)  0           block4-04_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_se_squeeze (GlobalAve (None, 768)          0           block4-04_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_se_reshape (Reshape)  (None, 1, 1, 768)    0           block4-04_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_se_reduce (Conv2D)    (None, 1, 1, 48)     36912       block4-04_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_se_expand (Conv2D)    (None, 1, 1, 768)    37632       block4-04_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_se_excite (Multiply)  (None, 30, 30, 768)  0           block4-04_activation[0][0]       \n",
      "                                                                 block4-04_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_project_conv (Conv2D) (None, 30, 30, 192)  147456      block4-04_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_project_bn (BatchNorm (None, 30, 30, 192)  768         block4-04_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_drop (Dropout)        (None, 30, 30, 192)  0           block4-04_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-04_add (Add)             (None, 30, 30, 192)  0           block4-04_drop[0][0]             \n",
      "                                                                 block4-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_expand_conv (Conv2D)  (None, 30, 30, 768)  147456      block4-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_expand_bn (BatchNorma (None, 30, 30, 768)  3072        block4-05_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_expand_activation (Ac (None, 30, 30, 768)  0           block4-05_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_dwconv2 (DepthwiseCon (None, 30, 30, 768)  6912        block4-05_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block4-05_bn (BatchNormalizatio (None, 30, 30, 768)  3072        block4-05_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_activation (Activatio (None, 30, 30, 768)  0           block4-05_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_se_squeeze (GlobalAve (None, 768)          0           block4-05_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_se_reshape (Reshape)  (None, 1, 1, 768)    0           block4-05_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_se_reduce (Conv2D)    (None, 1, 1, 48)     36912       block4-05_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_se_expand (Conv2D)    (None, 1, 1, 768)    37632       block4-05_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_se_excite (Multiply)  (None, 30, 30, 768)  0           block4-05_activation[0][0]       \n",
      "                                                                 block4-05_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_project_conv (Conv2D) (None, 30, 30, 192)  147456      block4-05_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_project_bn (BatchNorm (None, 30, 30, 192)  768         block4-05_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_drop (Dropout)        (None, 30, 30, 192)  0           block4-05_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-05_add (Add)             (None, 30, 30, 192)  0           block4-05_drop[0][0]             \n",
      "                                                                 block4-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_expand_conv (Conv2D)  (None, 30, 30, 768)  147456      block4-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_expand_bn (BatchNorma (None, 30, 30, 768)  3072        block4-06_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_expand_activation (Ac (None, 30, 30, 768)  0           block4-06_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_dwconv2 (DepthwiseCon (None, 30, 30, 768)  6912        block4-06_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block4-06_bn (BatchNormalizatio (None, 30, 30, 768)  3072        block4-06_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_activation (Activatio (None, 30, 30, 768)  0           block4-06_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_se_squeeze (GlobalAve (None, 768)          0           block4-06_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_se_reshape (Reshape)  (None, 1, 1, 768)    0           block4-06_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_se_reduce (Conv2D)    (None, 1, 1, 48)     36912       block4-06_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_se_expand (Conv2D)    (None, 1, 1, 768)    37632       block4-06_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_se_excite (Multiply)  (None, 30, 30, 768)  0           block4-06_activation[0][0]       \n",
      "                                                                 block4-06_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_project_conv (Conv2D) (None, 30, 30, 192)  147456      block4-06_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_project_bn (BatchNorm (None, 30, 30, 192)  768         block4-06_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_drop (Dropout)        (None, 30, 30, 192)  0           block4-06_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-06_add (Add)             (None, 30, 30, 192)  0           block4-06_drop[0][0]             \n",
      "                                                                 block4-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_expand_conv (Conv2D)  (None, 30, 30, 768)  147456      block4-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_expand_bn (BatchNorma (None, 30, 30, 768)  3072        block4-07_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_expand_activation (Ac (None, 30, 30, 768)  0           block4-07_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_dwconv2 (DepthwiseCon (None, 30, 30, 768)  6912        block4-07_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block4-07_bn (BatchNormalizatio (None, 30, 30, 768)  3072        block4-07_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_activation (Activatio (None, 30, 30, 768)  0           block4-07_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_se_squeeze (GlobalAve (None, 768)          0           block4-07_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_se_reshape (Reshape)  (None, 1, 1, 768)    0           block4-07_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_se_reduce (Conv2D)    (None, 1, 1, 48)     36912       block4-07_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_se_expand (Conv2D)    (None, 1, 1, 768)    37632       block4-07_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_se_excite (Multiply)  (None, 30, 30, 768)  0           block4-07_activation[0][0]       \n",
      "                                                                 block4-07_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_project_conv (Conv2D) (None, 30, 30, 192)  147456      block4-07_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_project_bn (BatchNorm (None, 30, 30, 192)  768         block4-07_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_drop (Dropout)        (None, 30, 30, 192)  0           block4-07_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-07_add (Add)             (None, 30, 30, 192)  0           block4-07_drop[0][0]             \n",
      "                                                                 block4-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_expand_conv (Conv2D)  (None, 30, 30, 768)  147456      block4-07_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_expand_bn (BatchNorma (None, 30, 30, 768)  3072        block4-08_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_expand_activation (Ac (None, 30, 30, 768)  0           block4-08_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_dwconv2 (DepthwiseCon (None, 30, 30, 768)  6912        block4-08_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block4-08_bn (BatchNormalizatio (None, 30, 30, 768)  3072        block4-08_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_activation (Activatio (None, 30, 30, 768)  0           block4-08_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_se_squeeze (GlobalAve (None, 768)          0           block4-08_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_se_reshape (Reshape)  (None, 1, 1, 768)    0           block4-08_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_se_reduce (Conv2D)    (None, 1, 1, 48)     36912       block4-08_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_se_expand (Conv2D)    (None, 1, 1, 768)    37632       block4-08_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_se_excite (Multiply)  (None, 30, 30, 768)  0           block4-08_activation[0][0]       \n",
      "                                                                 block4-08_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_project_conv (Conv2D) (None, 30, 30, 192)  147456      block4-08_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_project_bn (BatchNorm (None, 30, 30, 192)  768         block4-08_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_drop (Dropout)        (None, 30, 30, 192)  0           block4-08_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-08_add (Add)             (None, 30, 30, 192)  0           block4-08_drop[0][0]             \n",
      "                                                                 block4-07_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_expand_conv (Conv2D)  (None, 30, 30, 768)  147456      block4-08_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_expand_bn (BatchNorma (None, 30, 30, 768)  3072        block4-09_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_expand_activation (Ac (None, 30, 30, 768)  0           block4-09_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_dwconv2 (DepthwiseCon (None, 30, 30, 768)  6912        block4-09_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block4-09_bn (BatchNormalizatio (None, 30, 30, 768)  3072        block4-09_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_activation (Activatio (None, 30, 30, 768)  0           block4-09_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_se_squeeze (GlobalAve (None, 768)          0           block4-09_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_se_reshape (Reshape)  (None, 1, 1, 768)    0           block4-09_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_se_reduce (Conv2D)    (None, 1, 1, 48)     36912       block4-09_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_se_expand (Conv2D)    (None, 1, 1, 768)    37632       block4-09_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_se_excite (Multiply)  (None, 30, 30, 768)  0           block4-09_activation[0][0]       \n",
      "                                                                 block4-09_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_project_conv (Conv2D) (None, 30, 30, 192)  147456      block4-09_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_project_bn (BatchNorm (None, 30, 30, 192)  768         block4-09_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_drop (Dropout)        (None, 30, 30, 192)  0           block4-09_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-09_add (Add)             (None, 30, 30, 192)  0           block4-09_drop[0][0]             \n",
      "                                                                 block4-08_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_expand_conv (Conv2D)  (None, 30, 30, 768)  147456      block4-09_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_expand_bn (BatchNorma (None, 30, 30, 768)  3072        block4-10_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_expand_activation (Ac (None, 30, 30, 768)  0           block4-10_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_dwconv2 (DepthwiseCon (None, 30, 30, 768)  6912        block4-10_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block4-10_bn (BatchNormalizatio (None, 30, 30, 768)  3072        block4-10_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_activation (Activatio (None, 30, 30, 768)  0           block4-10_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_se_squeeze (GlobalAve (None, 768)          0           block4-10_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_se_reshape (Reshape)  (None, 1, 1, 768)    0           block4-10_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_se_reduce (Conv2D)    (None, 1, 1, 48)     36912       block4-10_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_se_expand (Conv2D)    (None, 1, 1, 768)    37632       block4-10_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_se_excite (Multiply)  (None, 30, 30, 768)  0           block4-10_activation[0][0]       \n",
      "                                                                 block4-10_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_project_conv (Conv2D) (None, 30, 30, 192)  147456      block4-10_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_project_bn (BatchNorm (None, 30, 30, 192)  768         block4-10_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_drop (Dropout)        (None, 30, 30, 192)  0           block4-10_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4-10_add (Add)             (None, 30, 30, 192)  0           block4-10_drop[0][0]             \n",
      "                                                                 block4-09_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_expand_conv (Conv2D)  (None, 30, 30, 1152) 221184      block4-10_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_expand_bn (BatchNorma (None, 30, 30, 1152) 4608        block5-01_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_expand_activation (Ac (None, 30, 30, 1152) 0           block5-01_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_dwconv2 (DepthwiseCon (None, 30, 30, 1152) 10368       block5-01_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-01_bn (BatchNormalizatio (None, 30, 30, 1152) 4608        block5-01_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_activation (Activatio (None, 30, 30, 1152) 0           block5-01_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_se_squeeze (GlobalAve (None, 1152)         0           block5-01_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_se_reshape (Reshape)  (None, 1, 1, 1152)   0           block5-01_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_se_reduce (Conv2D)    (None, 1, 1, 48)     55344       block5-01_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_se_expand (Conv2D)    (None, 1, 1, 1152)   56448       block5-01_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_se_excite (Multiply)  (None, 30, 30, 1152) 0           block5-01_activation[0][0]       \n",
      "                                                                 block5-01_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_project_conv (Conv2D) (None, 30, 30, 224)  258048      block5-01_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-01_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-01_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-02_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_expand_activation (Ac (None, 30, 30, 1344) 0           block5-02_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-02_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-02_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-02_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_activation (Activatio (None, 30, 30, 1344) 0           block5-02_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_se_squeeze (GlobalAve (None, 1344)         0           block5-02_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-02_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-02_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-02_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-02_activation[0][0]       \n",
      "                                                                 block5-02_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-02_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-02_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_drop (Dropout)        (None, 30, 30, 224)  0           block5-02_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-02_add (Add)             (None, 30, 30, 224)  0           block5-02_drop[0][0]             \n",
      "                                                                 block5-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-03_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_expand_activation (Ac (None, 30, 30, 1344) 0           block5-03_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-03_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-03_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-03_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_activation (Activatio (None, 30, 30, 1344) 0           block5-03_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_se_squeeze (GlobalAve (None, 1344)         0           block5-03_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-03_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-03_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-03_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-03_activation[0][0]       \n",
      "                                                                 block5-03_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-03_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-03_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_drop (Dropout)        (None, 30, 30, 224)  0           block5-03_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-03_add (Add)             (None, 30, 30, 224)  0           block5-03_drop[0][0]             \n",
      "                                                                 block5-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-04_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_expand_activation (Ac (None, 30, 30, 1344) 0           block5-04_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-04_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-04_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-04_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_activation (Activatio (None, 30, 30, 1344) 0           block5-04_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_se_squeeze (GlobalAve (None, 1344)         0           block5-04_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-04_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-04_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-04_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-04_activation[0][0]       \n",
      "                                                                 block5-04_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-04_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-04_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_drop (Dropout)        (None, 30, 30, 224)  0           block5-04_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-04_add (Add)             (None, 30, 30, 224)  0           block5-04_drop[0][0]             \n",
      "                                                                 block5-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-05_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_expand_activation (Ac (None, 30, 30, 1344) 0           block5-05_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-05_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-05_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-05_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_activation (Activatio (None, 30, 30, 1344) 0           block5-05_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_se_squeeze (GlobalAve (None, 1344)         0           block5-05_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-05_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-05_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-05_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-05_activation[0][0]       \n",
      "                                                                 block5-05_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-05_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-05_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_drop (Dropout)        (None, 30, 30, 224)  0           block5-05_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-05_add (Add)             (None, 30, 30, 224)  0           block5-05_drop[0][0]             \n",
      "                                                                 block5-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-06_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_expand_activation (Ac (None, 30, 30, 1344) 0           block5-06_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-06_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-06_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-06_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_activation (Activatio (None, 30, 30, 1344) 0           block5-06_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_se_squeeze (GlobalAve (None, 1344)         0           block5-06_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-06_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-06_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-06_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-06_activation[0][0]       \n",
      "                                                                 block5-06_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-06_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-06_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_drop (Dropout)        (None, 30, 30, 224)  0           block5-06_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-06_add (Add)             (None, 30, 30, 224)  0           block5-06_drop[0][0]             \n",
      "                                                                 block5-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-07_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_expand_activation (Ac (None, 30, 30, 1344) 0           block5-07_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-07_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-07_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-07_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_activation (Activatio (None, 30, 30, 1344) 0           block5-07_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_se_squeeze (GlobalAve (None, 1344)         0           block5-07_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-07_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-07_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-07_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-07_activation[0][0]       \n",
      "                                                                 block5-07_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-07_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-07_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_drop (Dropout)        (None, 30, 30, 224)  0           block5-07_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-07_add (Add)             (None, 30, 30, 224)  0           block5-07_drop[0][0]             \n",
      "                                                                 block5-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-07_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-08_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_expand_activation (Ac (None, 30, 30, 1344) 0           block5-08_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-08_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-08_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-08_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_activation (Activatio (None, 30, 30, 1344) 0           block5-08_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_se_squeeze (GlobalAve (None, 1344)         0           block5-08_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-08_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-08_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-08_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-08_activation[0][0]       \n",
      "                                                                 block5-08_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-08_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-08_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_drop (Dropout)        (None, 30, 30, 224)  0           block5-08_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-08_add (Add)             (None, 30, 30, 224)  0           block5-08_drop[0][0]             \n",
      "                                                                 block5-07_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-08_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-09_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_expand_activation (Ac (None, 30, 30, 1344) 0           block5-09_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-09_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-09_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-09_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_activation (Activatio (None, 30, 30, 1344) 0           block5-09_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_se_squeeze (GlobalAve (None, 1344)         0           block5-09_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-09_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-09_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-09_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-09_activation[0][0]       \n",
      "                                                                 block5-09_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-09_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-09_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_drop (Dropout)        (None, 30, 30, 224)  0           block5-09_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-09_add (Add)             (None, 30, 30, 224)  0           block5-09_drop[0][0]             \n",
      "                                                                 block5-08_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-09_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-10_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_expand_activation (Ac (None, 30, 30, 1344) 0           block5-10_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-10_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-10_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-10_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_activation (Activatio (None, 30, 30, 1344) 0           block5-10_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_se_squeeze (GlobalAve (None, 1344)         0           block5-10_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-10_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-10_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-10_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-10_activation[0][0]       \n",
      "                                                                 block5-10_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-10_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-10_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_drop (Dropout)        (None, 30, 30, 224)  0           block5-10_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-10_add (Add)             (None, 30, 30, 224)  0           block5-10_drop[0][0]             \n",
      "                                                                 block5-09_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-10_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-11_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_expand_activation (Ac (None, 30, 30, 1344) 0           block5-11_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-11_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-11_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-11_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_activation (Activatio (None, 30, 30, 1344) 0           block5-11_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_se_squeeze (GlobalAve (None, 1344)         0           block5-11_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-11_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-11_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-11_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-11_activation[0][0]       \n",
      "                                                                 block5-11_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-11_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-11_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_drop (Dropout)        (None, 30, 30, 224)  0           block5-11_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-11_add (Add)             (None, 30, 30, 224)  0           block5-11_drop[0][0]             \n",
      "                                                                 block5-10_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-11_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-12_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_expand_activation (Ac (None, 30, 30, 1344) 0           block5-12_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-12_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-12_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-12_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_activation (Activatio (None, 30, 30, 1344) 0           block5-12_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_se_squeeze (GlobalAve (None, 1344)         0           block5-12_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-12_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-12_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-12_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-12_activation[0][0]       \n",
      "                                                                 block5-12_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-12_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-12_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_drop (Dropout)        (None, 30, 30, 224)  0           block5-12_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-12_add (Add)             (None, 30, 30, 224)  0           block5-12_drop[0][0]             \n",
      "                                                                 block5-11_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-12_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-13_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_expand_activation (Ac (None, 30, 30, 1344) 0           block5-13_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-13_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-13_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-13_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_activation (Activatio (None, 30, 30, 1344) 0           block5-13_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_se_squeeze (GlobalAve (None, 1344)         0           block5-13_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-13_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-13_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-13_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-13_activation[0][0]       \n",
      "                                                                 block5-13_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-13_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-13_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_drop (Dropout)        (None, 30, 30, 224)  0           block5-13_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-13_add (Add)             (None, 30, 30, 224)  0           block5-13_drop[0][0]             \n",
      "                                                                 block5-12_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-13_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-14_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_expand_activation (Ac (None, 30, 30, 1344) 0           block5-14_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-14_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-14_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-14_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_activation (Activatio (None, 30, 30, 1344) 0           block5-14_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_se_squeeze (GlobalAve (None, 1344)         0           block5-14_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-14_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-14_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-14_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-14_activation[0][0]       \n",
      "                                                                 block5-14_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-14_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-14_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_drop (Dropout)        (None, 30, 30, 224)  0           block5-14_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-14_add (Add)             (None, 30, 30, 224)  0           block5-14_drop[0][0]             \n",
      "                                                                 block5-13_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-14_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-15_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_expand_activation (Ac (None, 30, 30, 1344) 0           block5-15_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-15_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-15_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-15_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_activation (Activatio (None, 30, 30, 1344) 0           block5-15_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_se_squeeze (GlobalAve (None, 1344)         0           block5-15_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-15_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-15_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-15_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-15_activation[0][0]       \n",
      "                                                                 block5-15_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-15_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-15_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_drop (Dropout)        (None, 30, 30, 224)  0           block5-15_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-15_add (Add)             (None, 30, 30, 224)  0           block5-15_drop[0][0]             \n",
      "                                                                 block5-14_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-15_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-16_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_expand_activation (Ac (None, 30, 30, 1344) 0           block5-16_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-16_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-16_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-16_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_activation (Activatio (None, 30, 30, 1344) 0           block5-16_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_se_squeeze (GlobalAve (None, 1344)         0           block5-16_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-16_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-16_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-16_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-16_activation[0][0]       \n",
      "                                                                 block5-16_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-16_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-16_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_drop (Dropout)        (None, 30, 30, 224)  0           block5-16_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-16_add (Add)             (None, 30, 30, 224)  0           block5-16_drop[0][0]             \n",
      "                                                                 block5-15_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-16_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-17_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_expand_activation (Ac (None, 30, 30, 1344) 0           block5-17_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-17_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-17_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-17_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_activation (Activatio (None, 30, 30, 1344) 0           block5-17_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_se_squeeze (GlobalAve (None, 1344)         0           block5-17_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-17_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-17_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-17_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-17_activation[0][0]       \n",
      "                                                                 block5-17_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-17_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-17_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_drop (Dropout)        (None, 30, 30, 224)  0           block5-17_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-17_add (Add)             (None, 30, 30, 224)  0           block5-17_drop[0][0]             \n",
      "                                                                 block5-16_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-17_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-18_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_expand_activation (Ac (None, 30, 30, 1344) 0           block5-18_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-18_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-18_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-18_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_activation (Activatio (None, 30, 30, 1344) 0           block5-18_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_se_squeeze (GlobalAve (None, 1344)         0           block5-18_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-18_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-18_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-18_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-18_activation[0][0]       \n",
      "                                                                 block5-18_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-18_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-18_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_drop (Dropout)        (None, 30, 30, 224)  0           block5-18_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-18_add (Add)             (None, 30, 30, 224)  0           block5-18_drop[0][0]             \n",
      "                                                                 block5-17_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-18_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block5-19_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_expand_activation (Ac (None, 30, 30, 1344) 0           block5-19_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_dwconv2 (DepthwiseCon (None, 30, 30, 1344) 12096       block5-19_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block5-19_bn (BatchNormalizatio (None, 30, 30, 1344) 5376        block5-19_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_activation (Activatio (None, 30, 30, 1344) 0           block5-19_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_se_squeeze (GlobalAve (None, 1344)         0           block5-19_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block5-19_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block5-19_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block5-19_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_se_excite (Multiply)  (None, 30, 30, 1344) 0           block5-19_activation[0][0]       \n",
      "                                                                 block5-19_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_project_conv (Conv2D) (None, 30, 30, 224)  301056      block5-19_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_project_bn (BatchNorm (None, 30, 30, 224)  896         block5-19_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_drop (Dropout)        (None, 30, 30, 224)  0           block5-19_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5-19_add (Add)             (None, 30, 30, 224)  0           block5-19_drop[0][0]             \n",
      "                                                                 block5-18_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_expand_conv (Conv2D)  (None, 30, 30, 1344) 301056      block5-19_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_expand_bn (BatchNorma (None, 30, 30, 1344) 5376        block6-01_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_expand_activation (Ac (None, 30, 30, 1344) 0           block6-01_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_dwconv2 (DepthwiseCon (None, 15, 15, 1344) 12096       block6-01_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-01_bn (BatchNormalizatio (None, 15, 15, 1344) 5376        block6-01_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_activation (Activatio (None, 15, 15, 1344) 0           block6-01_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_se_squeeze (GlobalAve (None, 1344)         0           block6-01_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_se_reshape (Reshape)  (None, 1, 1, 1344)   0           block6-01_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_se_reduce (Conv2D)    (None, 1, 1, 56)     75320       block6-01_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_se_expand (Conv2D)    (None, 1, 1, 1344)   76608       block6-01_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_se_excite (Multiply)  (None, 15, 15, 1344) 0           block6-01_activation[0][0]       \n",
      "                                                                 block6-01_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_project_conv (Conv2D) (None, 15, 15, 384)  516096      block6-01_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-01_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-01_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-02_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_expand_activation (Ac (None, 15, 15, 2304) 0           block6-02_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-02_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-02_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-02_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_activation (Activatio (None, 15, 15, 2304) 0           block6-02_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_se_squeeze (GlobalAve (None, 2304)         0           block6-02_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-02_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-02_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-02_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-02_activation[0][0]       \n",
      "                                                                 block6-02_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-02_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-02_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_drop (Dropout)        (None, 15, 15, 384)  0           block6-02_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-02_add (Add)             (None, 15, 15, 384)  0           block6-02_drop[0][0]             \n",
      "                                                                 block6-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-03_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_expand_activation (Ac (None, 15, 15, 2304) 0           block6-03_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-03_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-03_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-03_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_activation (Activatio (None, 15, 15, 2304) 0           block6-03_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_se_squeeze (GlobalAve (None, 2304)         0           block6-03_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-03_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-03_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-03_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-03_activation[0][0]       \n",
      "                                                                 block6-03_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-03_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-03_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_drop (Dropout)        (None, 15, 15, 384)  0           block6-03_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-03_add (Add)             (None, 15, 15, 384)  0           block6-03_drop[0][0]             \n",
      "                                                                 block6-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-04_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_expand_activation (Ac (None, 15, 15, 2304) 0           block6-04_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-04_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-04_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-04_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_activation (Activatio (None, 15, 15, 2304) 0           block6-04_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_se_squeeze (GlobalAve (None, 2304)         0           block6-04_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-04_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-04_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-04_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-04_activation[0][0]       \n",
      "                                                                 block6-04_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-04_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-04_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_drop (Dropout)        (None, 15, 15, 384)  0           block6-04_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-04_add (Add)             (None, 15, 15, 384)  0           block6-04_drop[0][0]             \n",
      "                                                                 block6-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-05_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_expand_activation (Ac (None, 15, 15, 2304) 0           block6-05_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-05_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-05_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-05_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_activation (Activatio (None, 15, 15, 2304) 0           block6-05_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_se_squeeze (GlobalAve (None, 2304)         0           block6-05_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-05_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-05_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-05_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-05_activation[0][0]       \n",
      "                                                                 block6-05_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-05_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-05_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_drop (Dropout)        (None, 15, 15, 384)  0           block6-05_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-05_add (Add)             (None, 15, 15, 384)  0           block6-05_drop[0][0]             \n",
      "                                                                 block6-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-06_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_expand_activation (Ac (None, 15, 15, 2304) 0           block6-06_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-06_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-06_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-06_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_activation (Activatio (None, 15, 15, 2304) 0           block6-06_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_se_squeeze (GlobalAve (None, 2304)         0           block6-06_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-06_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-06_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-06_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-06_activation[0][0]       \n",
      "                                                                 block6-06_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-06_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-06_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_drop (Dropout)        (None, 15, 15, 384)  0           block6-06_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-06_add (Add)             (None, 15, 15, 384)  0           block6-06_drop[0][0]             \n",
      "                                                                 block6-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-07_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_expand_activation (Ac (None, 15, 15, 2304) 0           block6-07_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-07_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-07_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-07_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_activation (Activatio (None, 15, 15, 2304) 0           block6-07_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_se_squeeze (GlobalAve (None, 2304)         0           block6-07_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-07_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-07_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-07_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-07_activation[0][0]       \n",
      "                                                                 block6-07_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-07_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-07_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_drop (Dropout)        (None, 15, 15, 384)  0           block6-07_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-07_add (Add)             (None, 15, 15, 384)  0           block6-07_drop[0][0]             \n",
      "                                                                 block6-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-07_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-08_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_expand_activation (Ac (None, 15, 15, 2304) 0           block6-08_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-08_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-08_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-08_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_activation (Activatio (None, 15, 15, 2304) 0           block6-08_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_se_squeeze (GlobalAve (None, 2304)         0           block6-08_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-08_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-08_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-08_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-08_activation[0][0]       \n",
      "                                                                 block6-08_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-08_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-08_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_drop (Dropout)        (None, 15, 15, 384)  0           block6-08_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-08_add (Add)             (None, 15, 15, 384)  0           block6-08_drop[0][0]             \n",
      "                                                                 block6-07_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-08_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-09_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_expand_activation (Ac (None, 15, 15, 2304) 0           block6-09_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-09_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-09_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-09_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_activation (Activatio (None, 15, 15, 2304) 0           block6-09_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_se_squeeze (GlobalAve (None, 2304)         0           block6-09_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-09_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-09_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-09_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-09_activation[0][0]       \n",
      "                                                                 block6-09_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-09_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-09_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_drop (Dropout)        (None, 15, 15, 384)  0           block6-09_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-09_add (Add)             (None, 15, 15, 384)  0           block6-09_drop[0][0]             \n",
      "                                                                 block6-08_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-09_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-10_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_expand_activation (Ac (None, 15, 15, 2304) 0           block6-10_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-10_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-10_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-10_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_activation (Activatio (None, 15, 15, 2304) 0           block6-10_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_se_squeeze (GlobalAve (None, 2304)         0           block6-10_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-10_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-10_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-10_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-10_activation[0][0]       \n",
      "                                                                 block6-10_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-10_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-10_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_drop (Dropout)        (None, 15, 15, 384)  0           block6-10_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-10_add (Add)             (None, 15, 15, 384)  0           block6-10_drop[0][0]             \n",
      "                                                                 block6-09_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-10_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-11_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_expand_activation (Ac (None, 15, 15, 2304) 0           block6-11_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-11_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-11_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-11_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_activation (Activatio (None, 15, 15, 2304) 0           block6-11_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_se_squeeze (GlobalAve (None, 2304)         0           block6-11_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-11_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-11_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-11_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-11_activation[0][0]       \n",
      "                                                                 block6-11_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-11_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-11_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_drop (Dropout)        (None, 15, 15, 384)  0           block6-11_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-11_add (Add)             (None, 15, 15, 384)  0           block6-11_drop[0][0]             \n",
      "                                                                 block6-10_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-11_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-12_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_expand_activation (Ac (None, 15, 15, 2304) 0           block6-12_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-12_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-12_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-12_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_activation (Activatio (None, 15, 15, 2304) 0           block6-12_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_se_squeeze (GlobalAve (None, 2304)         0           block6-12_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-12_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-12_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-12_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-12_activation[0][0]       \n",
      "                                                                 block6-12_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-12_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-12_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_drop (Dropout)        (None, 15, 15, 384)  0           block6-12_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-12_add (Add)             (None, 15, 15, 384)  0           block6-12_drop[0][0]             \n",
      "                                                                 block6-11_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-12_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-13_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_expand_activation (Ac (None, 15, 15, 2304) 0           block6-13_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-13_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-13_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-13_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_activation (Activatio (None, 15, 15, 2304) 0           block6-13_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_se_squeeze (GlobalAve (None, 2304)         0           block6-13_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-13_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-13_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-13_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-13_activation[0][0]       \n",
      "                                                                 block6-13_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-13_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-13_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_drop (Dropout)        (None, 15, 15, 384)  0           block6-13_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-13_add (Add)             (None, 15, 15, 384)  0           block6-13_drop[0][0]             \n",
      "                                                                 block6-12_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-13_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-14_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_expand_activation (Ac (None, 15, 15, 2304) 0           block6-14_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-14_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-14_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-14_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_activation (Activatio (None, 15, 15, 2304) 0           block6-14_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_se_squeeze (GlobalAve (None, 2304)         0           block6-14_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-14_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-14_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-14_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-14_activation[0][0]       \n",
      "                                                                 block6-14_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-14_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-14_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_drop (Dropout)        (None, 15, 15, 384)  0           block6-14_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-14_add (Add)             (None, 15, 15, 384)  0           block6-14_drop[0][0]             \n",
      "                                                                 block6-13_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-14_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-15_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_expand_activation (Ac (None, 15, 15, 2304) 0           block6-15_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-15_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-15_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-15_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_activation (Activatio (None, 15, 15, 2304) 0           block6-15_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_se_squeeze (GlobalAve (None, 2304)         0           block6-15_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-15_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-15_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-15_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-15_activation[0][0]       \n",
      "                                                                 block6-15_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-15_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-15_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_drop (Dropout)        (None, 15, 15, 384)  0           block6-15_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-15_add (Add)             (None, 15, 15, 384)  0           block6-15_drop[0][0]             \n",
      "                                                                 block6-14_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-15_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-16_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_expand_activation (Ac (None, 15, 15, 2304) 0           block6-16_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-16_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-16_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-16_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_activation (Activatio (None, 15, 15, 2304) 0           block6-16_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_se_squeeze (GlobalAve (None, 2304)         0           block6-16_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-16_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-16_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-16_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-16_activation[0][0]       \n",
      "                                                                 block6-16_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-16_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-16_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_drop (Dropout)        (None, 15, 15, 384)  0           block6-16_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-16_add (Add)             (None, 15, 15, 384)  0           block6-16_drop[0][0]             \n",
      "                                                                 block6-15_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-16_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-17_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_expand_activation (Ac (None, 15, 15, 2304) 0           block6-17_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-17_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-17_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-17_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_activation (Activatio (None, 15, 15, 2304) 0           block6-17_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_se_squeeze (GlobalAve (None, 2304)         0           block6-17_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-17_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-17_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-17_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-17_activation[0][0]       \n",
      "                                                                 block6-17_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-17_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-17_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_drop (Dropout)        (None, 15, 15, 384)  0           block6-17_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-17_add (Add)             (None, 15, 15, 384)  0           block6-17_drop[0][0]             \n",
      "                                                                 block6-16_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-17_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-18_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_expand_activation (Ac (None, 15, 15, 2304) 0           block6-18_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-18_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-18_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-18_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_activation (Activatio (None, 15, 15, 2304) 0           block6-18_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_se_squeeze (GlobalAve (None, 2304)         0           block6-18_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-18_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-18_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-18_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-18_activation[0][0]       \n",
      "                                                                 block6-18_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-18_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-18_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_drop (Dropout)        (None, 15, 15, 384)  0           block6-18_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-18_add (Add)             (None, 15, 15, 384)  0           block6-18_drop[0][0]             \n",
      "                                                                 block6-17_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-18_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-19_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_expand_activation (Ac (None, 15, 15, 2304) 0           block6-19_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-19_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-19_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-19_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_activation (Activatio (None, 15, 15, 2304) 0           block6-19_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_se_squeeze (GlobalAve (None, 2304)         0           block6-19_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-19_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-19_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-19_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-19_activation[0][0]       \n",
      "                                                                 block6-19_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-19_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-19_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_drop (Dropout)        (None, 15, 15, 384)  0           block6-19_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-19_add (Add)             (None, 15, 15, 384)  0           block6-19_drop[0][0]             \n",
      "                                                                 block6-18_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-19_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-20_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_expand_activation (Ac (None, 15, 15, 2304) 0           block6-20_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-20_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-20_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-20_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_activation (Activatio (None, 15, 15, 2304) 0           block6-20_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_se_squeeze (GlobalAve (None, 2304)         0           block6-20_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-20_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-20_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-20_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-20_activation[0][0]       \n",
      "                                                                 block6-20_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-20_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-20_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_drop (Dropout)        (None, 15, 15, 384)  0           block6-20_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-20_add (Add)             (None, 15, 15, 384)  0           block6-20_drop[0][0]             \n",
      "                                                                 block6-19_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-20_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-21_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_expand_activation (Ac (None, 15, 15, 2304) 0           block6-21_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-21_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-21_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-21_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_activation (Activatio (None, 15, 15, 2304) 0           block6-21_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_se_squeeze (GlobalAve (None, 2304)         0           block6-21_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-21_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-21_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-21_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-21_activation[0][0]       \n",
      "                                                                 block6-21_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-21_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-21_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_drop (Dropout)        (None, 15, 15, 384)  0           block6-21_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-21_add (Add)             (None, 15, 15, 384)  0           block6-21_drop[0][0]             \n",
      "                                                                 block6-20_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-21_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-22_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_expand_activation (Ac (None, 15, 15, 2304) 0           block6-22_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-22_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-22_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-22_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_activation (Activatio (None, 15, 15, 2304) 0           block6-22_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_se_squeeze (GlobalAve (None, 2304)         0           block6-22_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-22_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-22_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-22_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-22_activation[0][0]       \n",
      "                                                                 block6-22_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-22_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-22_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_drop (Dropout)        (None, 15, 15, 384)  0           block6-22_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-22_add (Add)             (None, 15, 15, 384)  0           block6-22_drop[0][0]             \n",
      "                                                                 block6-21_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-22_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-23_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_expand_activation (Ac (None, 15, 15, 2304) 0           block6-23_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-23_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-23_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-23_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_activation (Activatio (None, 15, 15, 2304) 0           block6-23_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_se_squeeze (GlobalAve (None, 2304)         0           block6-23_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-23_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-23_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-23_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-23_activation[0][0]       \n",
      "                                                                 block6-23_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-23_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-23_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_drop (Dropout)        (None, 15, 15, 384)  0           block6-23_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-23_add (Add)             (None, 15, 15, 384)  0           block6-23_drop[0][0]             \n",
      "                                                                 block6-22_add[0][0]              \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "block6-24_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-23_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-24_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_expand_activation (Ac (None, 15, 15, 2304) 0           block6-24_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-24_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-24_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-24_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_activation (Activatio (None, 15, 15, 2304) 0           block6-24_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_se_squeeze (GlobalAve (None, 2304)         0           block6-24_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-24_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-24_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-24_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-24_activation[0][0]       \n",
      "                                                                 block6-24_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-24_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-24_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_drop (Dropout)        (None, 15, 15, 384)  0           block6-24_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-24_add (Add)             (None, 15, 15, 384)  0           block6-24_drop[0][0]             \n",
      "                                                                 block6-23_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-24_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block6-25_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_expand_activation (Ac (None, 15, 15, 2304) 0           block6-25_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block6-25_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block6-25_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block6-25_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_activation (Activatio (None, 15, 15, 2304) 0           block6-25_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_se_squeeze (GlobalAve (None, 2304)         0           block6-25_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block6-25_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block6-25_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block6-25_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_se_excite (Multiply)  (None, 15, 15, 2304) 0           block6-25_activation[0][0]       \n",
      "                                                                 block6-25_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_project_conv (Conv2D) (None, 15, 15, 384)  884736      block6-25_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_project_bn (BatchNorm (None, 15, 15, 384)  1536        block6-25_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_drop (Dropout)        (None, 15, 15, 384)  0           block6-25_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6-25_add (Add)             (None, 15, 15, 384)  0           block6-25_drop[0][0]             \n",
      "                                                                 block6-24_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_expand_conv (Conv2D)  (None, 15, 15, 2304) 884736      block6-25_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_expand_bn (BatchNorma (None, 15, 15, 2304) 9216        block7-01_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_expand_activation (Ac (None, 15, 15, 2304) 0           block7-01_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_dwconv2 (DepthwiseCon (None, 15, 15, 2304) 20736       block7-01_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block7-01_bn (BatchNormalizatio (None, 15, 15, 2304) 9216        block7-01_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_activation (Activatio (None, 15, 15, 2304) 0           block7-01_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_se_squeeze (GlobalAve (None, 2304)         0           block7-01_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_se_reshape (Reshape)  (None, 1, 1, 2304)   0           block7-01_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_se_reduce (Conv2D)    (None, 1, 1, 96)     221280      block7-01_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_se_expand (Conv2D)    (None, 1, 1, 2304)   223488      block7-01_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_se_excite (Multiply)  (None, 15, 15, 2304) 0           block7-01_activation[0][0]       \n",
      "                                                                 block7-01_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_project_conv (Conv2D) (None, 15, 15, 640)  1474560     block7-01_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-01_project_bn (BatchNorm (None, 15, 15, 640)  2560        block7-01_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_expand_conv (Conv2D)  (None, 15, 15, 3840) 2457600     block7-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_expand_bn (BatchNorma (None, 15, 15, 3840) 15360       block7-02_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_expand_activation (Ac (None, 15, 15, 3840) 0           block7-02_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_dwconv2 (DepthwiseCon (None, 15, 15, 3840) 34560       block7-02_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block7-02_bn (BatchNormalizatio (None, 15, 15, 3840) 15360       block7-02_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_activation (Activatio (None, 15, 15, 3840) 0           block7-02_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_se_squeeze (GlobalAve (None, 3840)         0           block7-02_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_se_reshape (Reshape)  (None, 1, 1, 3840)   0           block7-02_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_se_reduce (Conv2D)    (None, 1, 1, 160)    614560      block7-02_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_se_expand (Conv2D)    (None, 1, 1, 3840)   618240      block7-02_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_se_excite (Multiply)  (None, 15, 15, 3840) 0           block7-02_activation[0][0]       \n",
      "                                                                 block7-02_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_project_conv (Conv2D) (None, 15, 15, 640)  2457600     block7-02_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_project_bn (BatchNorm (None, 15, 15, 640)  2560        block7-02_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_drop (Dropout)        (None, 15, 15, 640)  0           block7-02_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-02_add (Add)             (None, 15, 15, 640)  0           block7-02_drop[0][0]             \n",
      "                                                                 block7-01_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_expand_conv (Conv2D)  (None, 15, 15, 3840) 2457600     block7-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_expand_bn (BatchNorma (None, 15, 15, 3840) 15360       block7-03_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_expand_activation (Ac (None, 15, 15, 3840) 0           block7-03_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_dwconv2 (DepthwiseCon (None, 15, 15, 3840) 34560       block7-03_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block7-03_bn (BatchNormalizatio (None, 15, 15, 3840) 15360       block7-03_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_activation (Activatio (None, 15, 15, 3840) 0           block7-03_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_se_squeeze (GlobalAve (None, 3840)         0           block7-03_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_se_reshape (Reshape)  (None, 1, 1, 3840)   0           block7-03_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_se_reduce (Conv2D)    (None, 1, 1, 160)    614560      block7-03_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_se_expand (Conv2D)    (None, 1, 1, 3840)   618240      block7-03_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_se_excite (Multiply)  (None, 15, 15, 3840) 0           block7-03_activation[0][0]       \n",
      "                                                                 block7-03_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_project_conv (Conv2D) (None, 15, 15, 640)  2457600     block7-03_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_project_bn (BatchNorm (None, 15, 15, 640)  2560        block7-03_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_drop (Dropout)        (None, 15, 15, 640)  0           block7-03_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-03_add (Add)             (None, 15, 15, 640)  0           block7-03_drop[0][0]             \n",
      "                                                                 block7-02_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_expand_conv (Conv2D)  (None, 15, 15, 3840) 2457600     block7-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_expand_bn (BatchNorma (None, 15, 15, 3840) 15360       block7-04_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_expand_activation (Ac (None, 15, 15, 3840) 0           block7-04_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_dwconv2 (DepthwiseCon (None, 15, 15, 3840) 34560       block7-04_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block7-04_bn (BatchNormalizatio (None, 15, 15, 3840) 15360       block7-04_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_activation (Activatio (None, 15, 15, 3840) 0           block7-04_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_se_squeeze (GlobalAve (None, 3840)         0           block7-04_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_se_reshape (Reshape)  (None, 1, 1, 3840)   0           block7-04_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_se_reduce (Conv2D)    (None, 1, 1, 160)    614560      block7-04_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_se_expand (Conv2D)    (None, 1, 1, 3840)   618240      block7-04_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_se_excite (Multiply)  (None, 15, 15, 3840) 0           block7-04_activation[0][0]       \n",
      "                                                                 block7-04_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_project_conv (Conv2D) (None, 15, 15, 640)  2457600     block7-04_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_project_bn (BatchNorm (None, 15, 15, 640)  2560        block7-04_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_drop (Dropout)        (None, 15, 15, 640)  0           block7-04_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-04_add (Add)             (None, 15, 15, 640)  0           block7-04_drop[0][0]             \n",
      "                                                                 block7-03_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_expand_conv (Conv2D)  (None, 15, 15, 3840) 2457600     block7-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_expand_bn (BatchNorma (None, 15, 15, 3840) 15360       block7-05_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_expand_activation (Ac (None, 15, 15, 3840) 0           block7-05_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_dwconv2 (DepthwiseCon (None, 15, 15, 3840) 34560       block7-05_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block7-05_bn (BatchNormalizatio (None, 15, 15, 3840) 15360       block7-05_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_activation (Activatio (None, 15, 15, 3840) 0           block7-05_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_se_squeeze (GlobalAve (None, 3840)         0           block7-05_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_se_reshape (Reshape)  (None, 1, 1, 3840)   0           block7-05_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_se_reduce (Conv2D)    (None, 1, 1, 160)    614560      block7-05_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_se_expand (Conv2D)    (None, 1, 1, 3840)   618240      block7-05_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_se_excite (Multiply)  (None, 15, 15, 3840) 0           block7-05_activation[0][0]       \n",
      "                                                                 block7-05_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_project_conv (Conv2D) (None, 15, 15, 640)  2457600     block7-05_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_project_bn (BatchNorm (None, 15, 15, 640)  2560        block7-05_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_drop (Dropout)        (None, 15, 15, 640)  0           block7-05_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-05_add (Add)             (None, 15, 15, 640)  0           block7-05_drop[0][0]             \n",
      "                                                                 block7-04_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_expand_conv (Conv2D)  (None, 15, 15, 3840) 2457600     block7-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_expand_bn (BatchNorma (None, 15, 15, 3840) 15360       block7-06_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_expand_activation (Ac (None, 15, 15, 3840) 0           block7-06_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_dwconv2 (DepthwiseCon (None, 15, 15, 3840) 34560       block7-06_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block7-06_bn (BatchNormalizatio (None, 15, 15, 3840) 15360       block7-06_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_activation (Activatio (None, 15, 15, 3840) 0           block7-06_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_se_squeeze (GlobalAve (None, 3840)         0           block7-06_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_se_reshape (Reshape)  (None, 1, 1, 3840)   0           block7-06_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_se_reduce (Conv2D)    (None, 1, 1, 160)    614560      block7-06_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_se_expand (Conv2D)    (None, 1, 1, 3840)   618240      block7-06_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_se_excite (Multiply)  (None, 15, 15, 3840) 0           block7-06_activation[0][0]       \n",
      "                                                                 block7-06_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_project_conv (Conv2D) (None, 15, 15, 640)  2457600     block7-06_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_project_bn (BatchNorm (None, 15, 15, 640)  2560        block7-06_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_drop (Dropout)        (None, 15, 15, 640)  0           block7-06_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-06_add (Add)             (None, 15, 15, 640)  0           block7-06_drop[0][0]             \n",
      "                                                                 block7-05_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_expand_conv (Conv2D)  (None, 15, 15, 3840) 2457600     block7-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_expand_bn (BatchNorma (None, 15, 15, 3840) 15360       block7-07_expand_conv[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_expand_activation (Ac (None, 15, 15, 3840) 0           block7-07_expand_bn[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_dwconv2 (DepthwiseCon (None, 15, 15, 3840) 34560       block7-07_expand_activation[0][0]\n",
      "__________________________________________________________________________________________________\n",
      "block7-07_bn (BatchNormalizatio (None, 15, 15, 3840) 15360       block7-07_dwconv2[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_activation (Activatio (None, 15, 15, 3840) 0           block7-07_bn[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_se_squeeze (GlobalAve (None, 3840)         0           block7-07_activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_se_reshape (Reshape)  (None, 1, 1, 3840)   0           block7-07_se_squeeze[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_se_reduce (Conv2D)    (None, 1, 1, 160)    614560      block7-07_se_reshape[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_se_expand (Conv2D)    (None, 1, 1, 3840)   618240      block7-07_se_reduce[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_se_excite (Multiply)  (None, 15, 15, 3840) 0           block7-07_activation[0][0]       \n",
      "                                                                 block7-07_se_expand[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_project_conv (Conv2D) (None, 15, 15, 640)  2457600     block7-07_se_excite[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_project_bn (BatchNorm (None, 15, 15, 640)  2560        block7-07_project_conv[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_drop (Dropout)        (None, 15, 15, 640)  0           block7-07_project_bn[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7-07_add (Add)             (None, 15, 15, 640)  0           block7-07_drop[0][0]             \n",
      "                                                                 block7-06_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "top_conv (Conv2D)               (None, 15, 15, 1280) 819200      block7-07_add[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "top_bn (BatchNormalization)     (None, 15, 15, 1280) 5120        top_conv[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "top_activation (Activation)     (None, 15, 15, 1280) 0           top_bn[0][0]                     \n",
      "==================================================================================================\n",
      "Total params: 117,746,848\n",
      "Trainable params: 0\n",
      "Non-trainable params: 117,746,848\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "base_model.summary() # train prams => 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0985d01c",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(preprocess)\n",
    "model.add(base_model)\n",
    "model.add(GlobalAveragePooling2D())\n",
    "model.add(Dense(64, activation='relu'))\n",
    "model.add(Dense(1, activation='linear'))\n",
    "\n",
    "model.compile(optimizer=Adam(learning_rate=LEARNING_RATE),\n",
    "              loss='mae',\n",
    "              metrics=['mae'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7568f902",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_2\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "model (Functional)           (None, 480, 480, 3)       0         \n",
      "_________________________________________________________________\n",
      "efficientnetv2-l (Functional (None, 15, 15, 1280)      117746848 \n",
      "_________________________________________________________________\n",
      "global_average_pooling2d (Gl (None, 1280)              0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 64)                81984     \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 1)                 65        \n",
      "=================================================================\n",
      "Total params: 117,828,897\n",
      "Trainable params: 82,049\n",
      "Non-trainable params: 117,746,848\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "dcba82e7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-05-11 16:01:37.757284: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 3519590400 exceeds 10% of free system memory.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/30\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-05-11 16:01:52.028673: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)\n",
      "2022-05-11 16:01:52.169994: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499990000 Hz\n",
      "2022-05-11 16:01:55.066427: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.10\n",
      "2022-05-11 16:01:55.275706: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.7\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "159/159 [==============================] - ETA: 0s - loss: 82.4254 - mae: 82.4254"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-05-11 16:03:04.323799: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 881971200 exceeds 10% of free system memory.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "159/159 [==============================] - 105s 553ms/step - loss: 82.3984 - mae: 82.3984 - val_loss: 75.7157 - val_mae: 75.7157\n",
      "\n",
      "Epoch 00001: val_mae improved from inf to 75.71574, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 2/30\n",
      "159/159 [==============================] - ETA: 0s - loss: 78.3709 - mae: 78.3709"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-05-11 16:04:34.720498: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 881971200 exceeds 10% of free system memory.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "159/159 [==============================] - 85s 533ms/step - loss: 78.3494 - mae: 78.3494 - val_loss: 73.6940 - val_mae: 73.6940\n",
      "\n",
      "Epoch 00002: val_mae improved from 75.71574 to 73.69398, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 3/30\n",
      "159/159 [==============================] - 83s 519ms/step - loss: 76.5090 - mae: 76.5090 - val_loss: 72.4057 - val_mae: 72.4057\n",
      "\n",
      "Epoch 00003: val_mae improved from 73.69398 to 72.40572, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 4/30\n",
      "159/159 [==============================] - 81s 512ms/step - loss: 74.9797 - mae: 74.9797 - val_loss: 71.5848 - val_mae: 71.5848\n",
      "\n",
      "Epoch 00004: val_mae improved from 72.40572 to 71.58484, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 5/30\n",
      "159/159 [==============================] - 82s 513ms/step - loss: 74.1334 - mae: 74.1334 - val_loss: 70.9853 - val_mae: 70.9853\n",
      "\n",
      "Epoch 00005: val_mae improved from 71.58484 to 70.98532, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 6/30\n",
      "159/159 [==============================] - 82s 513ms/step - loss: 73.3694 - mae: 73.3694 - val_loss: 70.5749 - val_mae: 70.5749\n",
      "\n",
      "Epoch 00006: val_mae improved from 70.98532 to 70.57494, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 7/30\n",
      "159/159 [==============================] - 82s 514ms/step - loss: 72.8447 - mae: 72.8447 - val_loss: 70.2238 - val_mae: 70.2238\n",
      "\n",
      "Epoch 00007: val_mae improved from 70.57494 to 70.22385, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 8/30\n",
      "159/159 [==============================] - 82s 519ms/step - loss: 72.4575 - mae: 72.4575 - val_loss: 69.9430 - val_mae: 69.9430\n",
      "\n",
      "Epoch 00008: val_mae improved from 70.22385 to 69.94296, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 9/30\n",
      "159/159 [==============================] - 84s 530ms/step - loss: 71.6338 - mae: 71.6338 - val_loss: 69.7313 - val_mae: 69.7313\n",
      "\n",
      "Epoch 00009: val_mae improved from 69.94296 to 69.73125, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 10/30\n",
      "159/159 [==============================] - 85s 534ms/step - loss: 71.8444 - mae: 71.8444 - val_loss: 69.5383 - val_mae: 69.5383\n",
      "\n",
      "Epoch 00010: val_mae improved from 69.73125 to 69.53828, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 11/30\n",
      "159/159 [==============================] - 82s 516ms/step - loss: 71.3708 - mae: 71.3708 - val_loss: 69.3511 - val_mae: 69.3511\n",
      "\n",
      "Epoch 00011: val_mae improved from 69.53828 to 69.35107, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 12/30\n",
      "159/159 [==============================] - 82s 516ms/step - loss: 71.1330 - mae: 71.1330 - val_loss: 69.2041 - val_mae: 69.2041\n",
      "\n",
      "Epoch 00012: val_mae improved from 69.35107 to 69.20407, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 13/30\n",
      "159/159 [==============================] - 83s 523ms/step - loss: 70.4873 - mae: 70.4873 - val_loss: 69.0561 - val_mae: 69.0561\n",
      "\n",
      "Epoch 00013: val_mae improved from 69.20407 to 69.05614, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 14/30\n",
      "159/159 [==============================] - 85s 537ms/step - loss: 70.5490 - mae: 70.5490 - val_loss: 68.9261 - val_mae: 68.9261\n",
      "\n",
      "Epoch 00014: val_mae improved from 69.05614 to 68.92611, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 15/30\n",
      "159/159 [==============================] - 87s 545ms/step - loss: 70.3904 - mae: 70.3904 - val_loss: 68.8119 - val_mae: 68.8119\n",
      "\n",
      "Epoch 00015: val_mae improved from 68.92611 to 68.81193, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 16/30\n",
      "159/159 [==============================] - 84s 529ms/step - loss: 70.1282 - mae: 70.1282 - val_loss: 68.6878 - val_mae: 68.6878\n",
      "\n",
      "Epoch 00016: val_mae improved from 68.81193 to 68.68783, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 17/30\n",
      "159/159 [==============================] - 82s 515ms/step - loss: 70.3284 - mae: 70.3284 - val_loss: 68.6181 - val_mae: 68.6181\n",
      "\n",
      "Epoch 00017: val_mae improved from 68.68783 to 68.61807, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 18/30\n",
      "159/159 [==============================] - 82s 517ms/step - loss: 70.2287 - mae: 70.2287 - val_loss: 68.5178 - val_mae: 68.5178\n",
      "\n",
      "Epoch 00018: val_mae improved from 68.61807 to 68.51781, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 19/30\n",
      "159/159 [==============================] - 84s 527ms/step - loss: 69.8821 - mae: 69.8821 - val_loss: 68.4432 - val_mae: 68.4432\n",
      "\n",
      "Epoch 00019: val_mae improved from 68.51781 to 68.44324, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 20/30\n",
      "159/159 [==============================] - 86s 541ms/step - loss: 69.0387 - mae: 69.0387 - val_loss: 68.3768 - val_mae: 68.3768\n",
      "\n",
      "Epoch 00020: val_mae improved from 68.44324 to 68.37679, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 21/30\n",
      "159/159 [==============================] - 87s 545ms/step - loss: 69.0735 - mae: 69.0735 - val_loss: 68.2905 - val_mae: 68.2905\n",
      "\n",
      "Epoch 00021: val_mae improved from 68.37679 to 68.29047, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 22/30\n",
      "159/159 [==============================] - 87s 545ms/step - loss: 69.0032 - mae: 69.0032 - val_loss: 68.2156 - val_mae: 68.2156\n",
      "\n",
      "Epoch 00022: val_mae improved from 68.29047 to 68.21556, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 23/30\n",
      "159/159 [==============================] - 87s 545ms/step - loss: 68.8616 - mae: 68.8616 - val_loss: 68.1368 - val_mae: 68.1368\n",
      "\n",
      "Epoch 00023: val_mae improved from 68.21556 to 68.13681, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 24/30\n",
      "159/159 [==============================] - 86s 544ms/step - loss: 68.2357 - mae: 68.2357 - val_loss: 68.0533 - val_mae: 68.0533\n",
      "\n",
      "Epoch 00024: val_mae improved from 68.13681 to 68.05327, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 25/30\n",
      "159/159 [==============================] - 84s 526ms/step - loss: 68.3867 - mae: 68.3867 - val_loss: 67.9861 - val_mae: 67.9861\n",
      "\n",
      "Epoch 00025: val_mae improved from 68.05327 to 67.98609, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 26/30\n",
      "159/159 [==============================] - 82s 515ms/step - loss: 68.4053 - mae: 68.4053 - val_loss: 67.9393 - val_mae: 67.9393\n",
      "\n",
      "Epoch 00026: val_mae improved from 67.98609 to 67.93932, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 27/30\n",
      "159/159 [==============================] - 82s 518ms/step - loss: 67.9038 - mae: 67.9038 - val_loss: 67.9057 - val_mae: 67.9057\n",
      "\n",
      "Epoch 00027: val_mae improved from 67.93932 to 67.90572, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 28/30\n",
      "159/159 [==============================] - 84s 528ms/step - loss: 67.6679 - mae: 67.6679 - val_loss: 67.8861 - val_mae: 67.8861\n",
      "\n",
      "Epoch 00028: val_mae improved from 67.90572 to 67.88611, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 29/30\n",
      "159/159 [==============================] - 86s 542ms/step - loss: 67.7874 - mae: 67.7874 - val_loss: 67.8603 - val_mae: 67.8603\n",
      "\n",
      "Epoch 00029: val_mae improved from 67.88611 to 67.86034, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n",
      "Epoch 30/30\n",
      "159/159 [==============================] - 86s 543ms/step - loss: 67.9548 - mae: 67.9548 - val_loss: 67.8596 - val_mae: 67.8596\n",
      "\n",
      "Epoch 00030: val_mae improved from 67.86034 to 67.85957, saving model to ./Model_Save/eff_v2_L/effL.ckpt\n"
     ]
    }
   ],
   "source": [
    "checkpoint_filepath = './Model_Save/eff_v2_L/effL.ckpt'\n",
    "checkpointer = ModelCheckpoint(\n",
    "    filepath=checkpoint_filepath,\n",
    "    monitor='val_mae',\n",
    "    save_best_only=True,\n",
    "    save_weights_only=True,\n",
    "    verbose=1\n",
    ")\n",
    "\n",
    "\n",
    "EPOCHS = 30\n",
    "STEPS_PER_EPOCH = len(train_img_path) // BATCH_SIZE\n",
    "VAL_STEPS = len(vali_img_path) // BATCH_SIZE\n",
    "\n",
    "history = model.fit(train_dataset, epochs=EPOCHS,\n",
    "                    steps_per_epoch=STEPS_PER_EPOCH,\n",
    "                    validation_data=valid_dataset,\n",
    "                    validation_steps = VAL_STEPS,\n",
    "                    callbacks=[checkpointer],\n",
    "                    verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "75f2cfc0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Training and Validation MAE')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.plot(history.history['mae'], label='Training MAE')\n",
    "plt.plot(history.history['val_mae'], label='Validation MAE')\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('Training and Validation MAE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a084f8b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save('./Model_Save/eff_v2_L.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec4fe4db",
   "metadata": {},
   "source": [
    "# EfficientNet V2 S"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b1257db2",
   "metadata": {},
   "outputs": [],
   "source": [
    "MODEL_IMAGE_SIZE = 384"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "be3965e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "input_data_s = Input((IMAGE_SIZE, IMAGE_SIZE, 3))\n",
    "x = tf.keras.layers.experimental.preprocessing.Resizing(MODEL_IMAGE_SIZE, MODEL_IMAGE_SIZE)(input_data_s)\n",
    "x = tf.keras.layers.experimental.preprocessing.RandomFlip('horizontal_and_vertical')(x)\n",
    "output_data_s = tf.keras.layers.experimental.preprocessing.RandomRotation(0.2)(x)\n",
    "augmentation = Model(inputs=input_data_s, outputs=output_data_s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "63276f21",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://github.com/sebastian-sz/efficientnet-v2-keras/releases/download/v2.0/efficientnetv2-s_notop.h5\n",
      "82468864/82461840 [==============================] - 3s 0us/step\n"
     ]
    }
   ],
   "source": [
    "base_model_s = EfficientNetV2S(\n",
    "    weights='imagenet',\n",
    "    include_top = False,\n",
    "    input_shape = (MODEL_IMAGE_SIZE, MODEL_IMAGE_SIZE, 3)\n",
    ")\n",
    "base_model_s.trainable = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "52495725",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_s = Sequential()\n",
    "model_s.add(augmentation)\n",
    "model_s.add(base_model_s)\n",
    "model_s.add(GlobalAveragePooling2D())\n",
    "model_s.add(Dense(64, activation='relu'))\n",
    "model_s.add(Dense(1, activation='linear'))\n",
    "\n",
    "model_s.compile(optimizer=Adam(learning_rate=LEARNING_RATE),\n",
    "              loss='mae',\n",
    "              metrics=['mae'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "211de56b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_7\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "model_3 (Functional)         (None, 384, 384, 3)       0         \n",
      "_________________________________________________________________\n",
      "efficientnetv2-s (Functional (None, 12, 12, 1280)      20331360  \n",
      "_________________________________________________________________\n",
      "global_average_pooling2d_3 ( (None, 1280)              0         \n",
      "_________________________________________________________________\n",
      "dense_6 (Dense)              (None, 64)                81984     \n",
      "_________________________________________________________________\n",
      "dense_7 (Dense)              (None, 1)                 65        \n",
      "=================================================================\n",
      "Total params: 20,413,409\n",
      "Trainable params: 82,049\n",
      "Non-trainable params: 20,331,360\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model_s.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "c29cbb5f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/30\n",
      "159/159 [==============================] - 29s 132ms/step - loss: 82.5213 - mae: 82.5213 - val_loss: 75.6424 - val_mae: 75.6424\n",
      "\n",
      "Epoch 00001: val_mae improved from inf to 75.64243, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 2/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 77.8330 - mae: 77.8330 - val_loss: 73.2040 - val_mae: 73.2040\n",
      "\n",
      "Epoch 00002: val_mae improved from 75.64243 to 73.20404, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 3/30\n",
      "159/159 [==============================] - 19s 119ms/step - loss: 75.7980 - mae: 75.7980 - val_loss: 71.7527 - val_mae: 71.7527\n",
      "\n",
      "Epoch 00003: val_mae improved from 73.20404 to 71.75274, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 4/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 74.1559 - mae: 74.1559 - val_loss: 70.6993 - val_mae: 70.6993\n",
      "\n",
      "Epoch 00004: val_mae improved from 71.75274 to 70.69933, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 5/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 73.2587 - mae: 73.2587 - val_loss: 69.9684 - val_mae: 69.9684\n",
      "\n",
      "Epoch 00005: val_mae improved from 70.69933 to 69.96835, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 6/30\n",
      "159/159 [==============================] - 19s 119ms/step - loss: 72.3322 - mae: 72.3322 - val_loss: 69.4444 - val_mae: 69.4444\n",
      "\n",
      "Epoch 00006: val_mae improved from 69.96835 to 69.44442, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 7/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 71.8027 - mae: 71.8027 - val_loss: 69.0476 - val_mae: 69.0476\n",
      "\n",
      "Epoch 00007: val_mae improved from 69.44442 to 69.04755, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 8/30\n",
      "159/159 [==============================] - 19s 119ms/step - loss: 71.2396 - mae: 71.2396 - val_loss: 68.7428 - val_mae: 68.7428\n",
      "\n",
      "Epoch 00008: val_mae improved from 69.04755 to 68.74284, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 9/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 71.1837 - mae: 71.1837 - val_loss: 68.4501 - val_mae: 68.4501\n",
      "\n",
      "Epoch 00009: val_mae improved from 68.74284 to 68.45007, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 10/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 70.6560 - mae: 70.6560 - val_loss: 68.2545 - val_mae: 68.2545\n",
      "\n",
      "Epoch 00010: val_mae improved from 68.45007 to 68.25451, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 11/30\n",
      "159/159 [==============================] - 19s 121ms/step - loss: 70.3204 - mae: 70.3204 - val_loss: 68.0902 - val_mae: 68.0902\n",
      "\n",
      "Epoch 00011: val_mae improved from 68.25451 to 68.09023, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 12/30\n",
      "159/159 [==============================] - 19s 122ms/step - loss: 69.9075 - mae: 69.9075 - val_loss: 67.9406 - val_mae: 67.9406\n",
      "\n",
      "Epoch 00012: val_mae improved from 68.09023 to 67.94057, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 13/30\n",
      "159/159 [==============================] - 19s 122ms/step - loss: 70.1340 - mae: 70.1340 - val_loss: 67.8224 - val_mae: 67.8224\n",
      "\n",
      "Epoch 00013: val_mae improved from 67.94057 to 67.82237, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 14/30\n",
      "159/159 [==============================] - 19s 122ms/step - loss: 70.2014 - mae: 70.2014 - val_loss: 67.7026 - val_mae: 67.7026\n",
      "\n",
      "Epoch 00014: val_mae improved from 67.82237 to 67.70264, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 15/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 70.4921 - mae: 70.4921 - val_loss: 67.5900 - val_mae: 67.5900\n",
      "\n",
      "Epoch 00015: val_mae improved from 67.70264 to 67.58997, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 16/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 69.2126 - mae: 69.2126 - val_loss: 67.4808 - val_mae: 67.4808\n",
      "\n",
      "Epoch 00016: val_mae improved from 67.58997 to 67.48082, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 17/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 69.2287 - mae: 69.2287 - val_loss: 67.3761 - val_mae: 67.3761\n",
      "\n",
      "Epoch 00017: val_mae improved from 67.48082 to 67.37606, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 18/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 68.9488 - mae: 68.9488 - val_loss: 67.3317 - val_mae: 67.3317\n",
      "\n",
      "Epoch 00018: val_mae improved from 67.37606 to 67.33173, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 19/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 68.7316 - mae: 68.7316 - val_loss: 67.2623 - val_mae: 67.2623\n",
      "\n",
      "Epoch 00019: val_mae improved from 67.33173 to 67.26229, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 20/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 68.3264 - mae: 68.3264 - val_loss: 67.2259 - val_mae: 67.2259\n",
      "\n",
      "Epoch 00020: val_mae improved from 67.26229 to 67.22588, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 21/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 68.2174 - mae: 68.2174 - val_loss: 67.1640 - val_mae: 67.1640\n",
      "\n",
      "Epoch 00021: val_mae improved from 67.22588 to 67.16399, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 22/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 67.9057 - mae: 67.9057 - val_loss: 67.1131 - val_mae: 67.1131\n",
      "\n",
      "Epoch 00022: val_mae improved from 67.16399 to 67.11308, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 23/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 68.0955 - mae: 68.0955 - val_loss: 67.0574 - val_mae: 67.0574\n",
      "\n",
      "Epoch 00023: val_mae improved from 67.11308 to 67.05739, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 24/30\n",
      "159/159 [==============================] - 19s 122ms/step - loss: 67.7571 - mae: 67.7571 - val_loss: 67.0593 - val_mae: 67.0593\n",
      "\n",
      "Epoch 00024: val_mae did not improve from 67.05739\n",
      "Epoch 25/30\n",
      "159/159 [==============================] - 19s 121ms/step - loss: 67.5052 - mae: 67.5052 - val_loss: 67.0643 - val_mae: 67.0643\n",
      "\n",
      "Epoch 00025: val_mae did not improve from 67.05739\n",
      "Epoch 26/30\n",
      "159/159 [==============================] - 19s 121ms/step - loss: 67.6029 - mae: 67.6029 - val_loss: 66.9873 - val_mae: 66.9873\n",
      "\n",
      "Epoch 00026: val_mae improved from 67.05739 to 66.98728, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 27/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 67.7823 - mae: 67.7823 - val_loss: 66.9958 - val_mae: 66.9958\n",
      "\n",
      "Epoch 00027: val_mae did not improve from 66.98728\n",
      "Epoch 28/30\n",
      "159/159 [==============================] - 19s 121ms/step - loss: 67.1934 - mae: 67.1934 - val_loss: 67.0173 - val_mae: 67.0173\n",
      "\n",
      "Epoch 00028: val_mae did not improve from 66.98728\n",
      "Epoch 29/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 66.8231 - mae: 66.8231 - val_loss: 66.9379 - val_mae: 66.9379\n",
      "\n",
      "Epoch 00029: val_mae improved from 66.98728 to 66.93791, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 30/30\n",
      "159/159 [==============================] - 19s 121ms/step - loss: 67.6089 - mae: 67.6089 - val_loss: 66.9059 - val_mae: 66.9059\n",
      "\n",
      "Epoch 00030: val_mae improved from 66.93791 to 66.90588, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n"
     ]
    }
   ],
   "source": [
    "checkpoint_filepath = './Model_Save/eff_v2_S/effL.ckpt'\n",
    "checkpointer = ModelCheckpoint(\n",
    "    filepath=checkpoint_filepath,\n",
    "    monitor='val_mae',\n",
    "    save_best_only=True,\n",
    "    save_weights_only=True,\n",
    "    verbose=1\n",
    ")\n",
    "\n",
    "\n",
    "EPOCHS = 30\n",
    "STEPS_PER_EPOCH = len(train_img_path) // BATCH_SIZE\n",
    "VAL_STEPS = len(vali_img_path) // BATCH_SIZE\n",
    "\n",
    "history_s = model_s.fit(train_dataset, epochs=EPOCHS,\n",
    "                    steps_per_epoch=STEPS_PER_EPOCH,\n",
    "                    validation_data=valid_dataset,\n",
    "                    validation_steps = VAL_STEPS,\n",
    "                    callbacks=[checkpointer],\n",
    "                    verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "0f35e09d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Training and Validation MAE')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.plot(history_s.history['mae'], label='Training MAE')\n",
    "plt.plot(history_s.history['val_mae'], label='Validation MAE')\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('Training and Validation MAE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "7666f9b3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/30\n",
      "159/159 [==============================] - 28s 131ms/step - loss: 18331.2021 - mae: 82.3811 - val_loss: 15881.2168 - val_mae: 75.0894\n",
      "Epoch 2/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 16598.1496 - mae: 76.9909 - val_loss: 14616.1104 - val_mae: 71.7975\n",
      "Epoch 3/30\n",
      "159/159 [==============================] - 19s 117ms/step - loss: 15167.5380 - mae: 74.3519 - val_loss: 13471.3477 - val_mae: 69.6979\n",
      "Epoch 4/30\n",
      "159/159 [==============================] - 19s 119ms/step - loss: 13768.8151 - mae: 72.3080 - val_loss: 12590.7891 - val_mae: 68.9295\n",
      "Epoch 5/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 12838.7717 - mae: 72.3588 - val_loss: 11932.1748 - val_mae: 68.9996\n",
      "Epoch 6/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 12170.6756 - mae: 73.2176 - val_loss: 11452.8018 - val_mae: 69.4607\n",
      "Epoch 7/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 11604.5443 - mae: 73.9206 - val_loss: 11140.3018 - val_mae: 69.8310\n",
      "Epoch 8/30\n",
      "159/159 [==============================] - 19s 117ms/step - loss: 11203.8442 - mae: 74.2118 - val_loss: 10915.8760 - val_mae: 70.2065\n",
      "Epoch 9/30\n",
      "159/159 [==============================] - 19s 119ms/step - loss: 10840.4918 - mae: 74.9804 - val_loss: 10784.2617 - val_mae: 70.4323\n",
      "Epoch 10/30\n",
      "159/159 [==============================] - 19s 117ms/step - loss: 10740.4952 - mae: 75.4804 - val_loss: 10700.7578 - val_mae: 70.5788\n",
      "Epoch 11/30\n",
      "159/159 [==============================] - 18s 116ms/step - loss: 10634.7320 - mae: 76.0312 - val_loss: 10642.9082 - val_mae: 70.7011\n",
      "Epoch 12/30\n",
      "159/159 [==============================] - 18s 116ms/step - loss: 10322.3829 - mae: 75.0791 - val_loss: 10626.7480 - val_mae: 70.6496\n",
      "Epoch 13/30\n",
      "159/159 [==============================] - 18s 116ms/step - loss: 10246.7189 - mae: 75.3605 - val_loss: 10612.5449 - val_mae: 70.6527\n",
      "Epoch 14/30\n",
      "159/159 [==============================] - 18s 116ms/step - loss: 10193.3869 - mae: 74.8445 - val_loss: 10600.5225 - val_mae: 70.7161\n",
      "Epoch 15/30\n",
      "159/159 [==============================] - 18s 116ms/step - loss: 9746.8462 - mae: 73.2478 - val_loss: 10623.9805 - val_mae: 70.5515\n",
      "Epoch 16/30\n",
      "159/159 [==============================] - 18s 116ms/step - loss: 10091.8249 - mae: 74.5082 - val_loss: 10634.1611 - val_mae: 70.5110\n",
      "Epoch 17/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 9859.4052 - mae: 74.0707 - val_loss: 10643.7344 - val_mae: 70.5109\n",
      "Epoch 18/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 9744.3876 - mae: 73.5178 - val_loss: 10657.0508 - val_mae: 70.4738\n",
      "Epoch 19/30\n",
      "159/159 [==============================] - 19s 117ms/step - loss: 9680.3565 - mae: 73.1823 - val_loss: 10676.1943 - val_mae: 70.4070\n",
      "Epoch 20/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 9632.0204 - mae: 72.6421 - val_loss: 10707.6943 - val_mae: 70.2599\n",
      "Epoch 21/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 9456.3654 - mae: 71.7882 - val_loss: 10727.0508 - val_mae: 70.2267\n",
      "Epoch 22/30\n",
      "159/159 [==============================] - 19s 119ms/step - loss: 9529.5468 - mae: 72.2598 - val_loss: 10745.5400 - val_mae: 70.2327\n",
      "Epoch 23/30\n",
      "159/159 [==============================] - 19s 119ms/step - loss: 9844.1114 - mae: 73.1732 - val_loss: 10775.2607 - val_mae: 70.0726\n",
      "Epoch 24/30\n",
      "159/159 [==============================] - 19s 120ms/step - loss: 9375.1030 - mae: 71.7184 - val_loss: 10782.3779 - val_mae: 70.0436\n",
      "Epoch 25/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 9429.3154 - mae: 71.8455 - val_loss: 10799.2871 - val_mae: 70.0462\n",
      "Epoch 26/30\n",
      "159/159 [==============================] - 19s 119ms/step - loss: 9373.2822 - mae: 71.1418 - val_loss: 10819.4424 - val_mae: 70.0311\n",
      "Epoch 27/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 9300.3600 - mae: 71.6549 - val_loss: 10824.6406 - val_mae: 70.0779\n",
      "Epoch 28/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 9459.5296 - mae: 70.6737 - val_loss: 10835.2637 - val_mae: 70.0751\n",
      "Epoch 29/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 9144.0418 - mae: 69.5512 - val_loss: 10854.0527 - val_mae: 69.9682\n",
      "Epoch 30/30\n",
      "159/159 [==============================] - 19s 118ms/step - loss: 9200.8520 - mae: 70.8649 - val_loss: 10872.9746 - val_mae: 69.9342\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Training and Validation MAE')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# loss function = mse로\n",
    "\n",
    "base_model_s = EfficientNetV2S(\n",
    "    weights='imagenet',\n",
    "    include_top = False,\n",
    "    input_shape = (MODEL_IMAGE_SIZE, MODEL_IMAGE_SIZE, 3)\n",
    ")\n",
    "base_model_s.trainable = False\n",
    "\n",
    "model_s = Sequential()\n",
    "model_s.add(augmentation)\n",
    "model_s.add(base_model_s)\n",
    "model_s.add(GlobalAveragePooling2D())\n",
    "model_s.add(Dense(64, activation='relu'))\n",
    "model_s.add(Dense(1, activation='linear'))\n",
    "\n",
    "model_s.compile(optimizer=Adam(learning_rate=LEARNING_RATE),\n",
    "              loss='mse',\n",
    "              metrics=['mae'])\n",
    "\n",
    "EPOCHS = 30\n",
    "STEPS_PER_EPOCH = len(train_img_path) // BATCH_SIZE\n",
    "VAL_STEPS = len(vali_img_path) // BATCH_SIZE\n",
    "\n",
    "history_s = model_s.fit(train_dataset, epochs=EPOCHS,\n",
    "                    steps_per_epoch=STEPS_PER_EPOCH,\n",
    "                    validation_data=valid_dataset,\n",
    "                    validation_steps = VAL_STEPS,\n",
    "                    #callbacks=[checkpointer],\n",
    "                    verbose=1)\n",
    "\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.plot(history_s.history['mae'], label='Training MAE')\n",
    "plt.plot(history_s.history['val_mae'], label='Validation MAE')\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('Training and Validation MAE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "a6339a81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Training and Validation MAE')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.plot(history_s.history['mae'], label='Training MAE')\n",
    "plt.plot(history_s.history['val_mae'], label='Validation MAE')\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('Training and Validation MAE')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4ee835f",
   "metadata": {},
   "source": [
    "# EfficientNet V2 B0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "3f8bae39",
   "metadata": {},
   "outputs": [],
   "source": [
    "MODEL_IMAGE_SIZE = 224"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "f19ac686",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://github.com/sebastian-sz/efficientnet-v2-keras/releases/download/v2.0/efficientnetv2-b0_notop.h5\n",
      "24289280/24286736 [==============================] - 1s 0us/step\n"
     ]
    }
   ],
   "source": [
    "base_model_0 = EfficientNetV2B0(\n",
    "    weights='imagenet',\n",
    "    include_top = False,\n",
    "    input_shape = (MODEL_IMAGE_SIZE, MODEL_IMAGE_SIZE, 3)\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "7be65f54",
   "metadata": {},
   "outputs": [],
   "source": [
    "input_data_0 = Input((IMAGE_SIZE, IMAGE_SIZE, 3))\n",
    "x = tf.keras.layers.experimental.preprocessing.Resizing(MODEL_IMAGE_SIZE, MODEL_IMAGE_SIZE)(input_data_0)\n",
    "x = tf.keras.layers.experimental.preprocessing.RandomFlip('horizontal_and_vertical')(x)\n",
    "output_data_0 = tf.keras.layers.experimental.preprocessing.RandomRotation(0.2)(x)\n",
    "augmentation = Model(inputs=input_data_0, outputs=output_data_0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "bd5e43ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_model_0.trainable = False\n",
    "\n",
    "model_0 = Sequential()\n",
    "model_0.add(augmentation)\n",
    "model_0.add(base_model_0)\n",
    "model_0.add(GlobalAveragePooling2D())\n",
    "model_0.add(Dense(64, activation='relu'))\n",
    "model_0.add(Dense(1, activation='linear'))\n",
    "\n",
    "model_0.compile(optimizer=Adam(learning_rate=LEARNING_RATE),\n",
    "              loss='mae',\n",
    "              metrics=['mae'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "a4d7a417",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/30\n",
      "159/159 [==============================] - 11s 41ms/step - loss: 82.4614 - mae: 82.4614 - val_loss: 75.9810 - val_mae: 75.9810\n",
      "Epoch 2/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 78.1032 - mae: 78.1032 - val_loss: 73.6854 - val_mae: 73.6854\n",
      "Epoch 3/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 75.9844 - mae: 75.9844 - val_loss: 72.4603 - val_mae: 72.4603\n",
      "Epoch 4/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 74.6632 - mae: 74.6632 - val_loss: 71.5233 - val_mae: 71.5233\n",
      "Epoch 5/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 73.7699 - mae: 73.7699 - val_loss: 70.9009 - val_mae: 70.9009\n",
      "Epoch 6/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 73.1335 - mae: 73.1335 - val_loss: 70.4486 - val_mae: 70.4486\n",
      "Epoch 7/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 72.7175 - mae: 72.7175 - val_loss: 70.0980 - val_mae: 70.0980\n",
      "Epoch 8/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 72.2347 - mae: 72.2347 - val_loss: 69.7917 - val_mae: 69.7917\n",
      "Epoch 9/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 71.9017 - mae: 71.9017 - val_loss: 69.5065 - val_mae: 69.5065\n",
      "Epoch 10/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 71.2574 - mae: 71.2574 - val_loss: 69.2813 - val_mae: 69.2813\n",
      "Epoch 11/30\n",
      "159/159 [==============================] - 5s 33ms/step - loss: 71.2573 - mae: 71.2573 - val_loss: 69.0858 - val_mae: 69.0858\n",
      "Epoch 12/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 70.9633 - mae: 70.9633 - val_loss: 68.9081 - val_mae: 68.9081\n",
      "Epoch 13/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 70.7440 - mae: 70.7440 - val_loss: 68.7239 - val_mae: 68.7239\n",
      "Epoch 14/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 70.4402 - mae: 70.4402 - val_loss: 68.5524 - val_mae: 68.5524\n",
      "Epoch 15/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 69.7480 - mae: 69.7480 - val_loss: 68.4183 - val_mae: 68.4183\n",
      "Epoch 16/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 69.5367 - mae: 69.5367 - val_loss: 68.2846 - val_mae: 68.2846\n",
      "Epoch 17/30\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 69.4797 - mae: 69.4797 - val_loss: 68.1684 - val_mae: 68.1684\n",
      "Epoch 18/30\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 69.1914 - mae: 69.1914 - val_loss: 68.0322 - val_mae: 68.0322\n",
      "Epoch 19/30\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 68.9407 - mae: 68.9407 - val_loss: 67.9084 - val_mae: 67.9084\n",
      "Epoch 20/30\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 68.8689 - mae: 68.8689 - val_loss: 67.8101 - val_mae: 67.8101\n",
      "Epoch 21/30\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 68.6274 - mae: 68.6274 - val_loss: 67.7049 - val_mae: 67.7049\n",
      "Epoch 22/30\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 68.0419 - mae: 68.0419 - val_loss: 67.6184 - val_mae: 67.6184\n",
      "Epoch 23/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 68.1709 - mae: 68.1709 - val_loss: 67.5061 - val_mae: 67.5061\n",
      "Epoch 24/30\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 67.9223 - mae: 67.9223 - val_loss: 67.4092 - val_mae: 67.4092\n",
      "Epoch 25/30\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 67.3129 - mae: 67.3129 - val_loss: 67.3307 - val_mae: 67.3307\n",
      "Epoch 26/30\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 67.3586 - mae: 67.3586 - val_loss: 67.2569 - val_mae: 67.2569\n",
      "Epoch 27/30\n",
      "159/159 [==============================] - 5s 35ms/step - loss: 66.8836 - mae: 66.8836 - val_loss: 67.1789 - val_mae: 67.1789\n",
      "Epoch 28/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 67.1083 - mae: 67.1083 - val_loss: 67.0836 - val_mae: 67.0836\n",
      "Epoch 29/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 67.2605 - mae: 67.2605 - val_loss: 66.9994 - val_mae: 66.9994\n",
      "Epoch 30/30\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 66.9297 - mae: 66.9297 - val_loss: 66.9219 - val_mae: 66.9219\n"
     ]
    }
   ],
   "source": [
    "EPOCHS = 30\n",
    "STEPS_PER_EPOCH = len(train_img_path) // BATCH_SIZE\n",
    "VAL_STEPS = len(vali_img_path) // BATCH_SIZE\n",
    "\n",
    "history_0 = model_0.fit(train_dataset, epochs=EPOCHS,\n",
    "                    steps_per_epoch=STEPS_PER_EPOCH,\n",
    "                    validation_data=valid_dataset,\n",
    "                    validation_steps = VAL_STEPS,\n",
    "                    # callbacks=[checkpointer],\n",
    "                    verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "5f206d00",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Training and Validation MAE')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.plot(history_0.history['mae'], label='Training MAE')\n",
    "plt.plot(history_0.history['val_mae'], label='Validation MAE')\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('Training and Validation MAE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "dd5c8eb9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 65.0731 - mae: 65.0731 - val_loss: 66.8561 - val_mae: 66.8561\n",
      "Epoch 2/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 65.2989 - mae: 65.2989 - val_loss: 66.7684 - val_mae: 66.7684\n",
      "Epoch 3/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 65.1577 - mae: 65.1577 - val_loss: 66.7004 - val_mae: 66.7004\n",
      "Epoch 4/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 64.8200 - mae: 64.8200 - val_loss: 66.6644 - val_mae: 66.6644\n",
      "Epoch 5/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 64.9325 - mae: 64.9325 - val_loss: 66.6597 - val_mae: 66.6597\n",
      "Epoch 6/70\n",
      "159/159 [==============================] - 5s 33ms/step - loss: 64.4639 - mae: 64.4639 - val_loss: 66.6224 - val_mae: 66.6224\n",
      "Epoch 7/70\n",
      "159/159 [==============================] - 5s 33ms/step - loss: 64.7798 - mae: 64.7798 - val_loss: 66.5906 - val_mae: 66.5906\n",
      "Epoch 8/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 64.2980 - mae: 64.2980 - val_loss: 66.5403 - val_mae: 66.5403\n",
      "Epoch 9/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 64.3762 - mae: 64.3762 - val_loss: 66.5007 - val_mae: 66.5007\n",
      "Epoch 10/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.9423 - mae: 63.9423 - val_loss: 66.4976 - val_mae: 66.4976\n",
      "Epoch 11/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 64.3118 - mae: 64.3118 - val_loss: 66.4510 - val_mae: 66.4510\n",
      "Epoch 12/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.9728 - mae: 63.9728 - val_loss: 66.3662 - val_mae: 66.3662\n",
      "Epoch 13/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.6996 - mae: 63.6996 - val_loss: 66.3450 - val_mae: 66.3450\n",
      "Epoch 14/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 64.1096 - mae: 64.1096 - val_loss: 66.2912 - val_mae: 66.2912\n",
      "Epoch 15/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 64.0447 - mae: 64.0447 - val_loss: 66.2574 - val_mae: 66.2574\n",
      "Epoch 16/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.6485 - mae: 63.6485 - val_loss: 66.2219 - val_mae: 66.2219\n",
      "Epoch 17/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.4845 - mae: 63.4845 - val_loss: 66.2037 - val_mae: 66.2037\n",
      "Epoch 18/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.5115 - mae: 63.5115 - val_loss: 66.2052 - val_mae: 66.2052\n",
      "Epoch 19/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.3176 - mae: 63.3176 - val_loss: 66.1864 - val_mae: 66.1864\n",
      "Epoch 20/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.2906 - mae: 63.2906 - val_loss: 66.1789 - val_mae: 66.1789\n",
      "Epoch 21/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.4318 - mae: 63.4318 - val_loss: 66.1553 - val_mae: 66.1553\n",
      "Epoch 22/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.3274 - mae: 63.3274 - val_loss: 66.1380 - val_mae: 66.1380\n",
      "Epoch 23/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.2942 - mae: 63.2942 - val_loss: 66.1089 - val_mae: 66.1089\n",
      "Epoch 24/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.7839 - mae: 62.7839 - val_loss: 66.1005 - val_mae: 66.1005\n",
      "Epoch 25/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.7304 - mae: 62.7304 - val_loss: 66.0931 - val_mae: 66.0931\n",
      "Epoch 26/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.4105 - mae: 62.4105 - val_loss: 66.0895 - val_mae: 66.0895\n",
      "Epoch 27/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.5946 - mae: 62.5946 - val_loss: 66.0888 - val_mae: 66.0888\n",
      "Epoch 28/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.5784 - mae: 62.5784 - val_loss: 66.0754 - val_mae: 66.0754\n",
      "Epoch 29/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.0435 - mae: 63.0435 - val_loss: 66.0609 - val_mae: 66.0609\n",
      "Epoch 30/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 63.0949 - mae: 63.0949 - val_loss: 66.0532 - val_mae: 66.0532\n",
      "Epoch 31/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.2217 - mae: 62.2217 - val_loss: 66.0499 - val_mae: 66.0499\n",
      "Epoch 32/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.3385 - mae: 62.3385 - val_loss: 66.0429 - val_mae: 66.0429\n",
      "Epoch 33/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.1381 - mae: 62.1381 - val_loss: 66.0478 - val_mae: 66.0478\n",
      "Epoch 34/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.6683 - mae: 62.6683 - val_loss: 66.0497 - val_mae: 66.0497\n",
      "Epoch 35/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 62.4530 - mae: 62.4530 - val_loss: 66.0404 - val_mae: 66.0404\n",
      "Epoch 36/70\n",
      "159/159 [==============================] - 5s 35ms/step - loss: 62.1309 - mae: 62.1309 - val_loss: 65.9887 - val_mae: 65.9887\n",
      "Epoch 37/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 61.7053 - mae: 61.7053 - val_loss: 65.9970 - val_mae: 65.9970\n",
      "Epoch 38/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.3719 - mae: 62.3719 - val_loss: 65.9844 - val_mae: 65.9844\n",
      "Epoch 39/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.1851 - mae: 62.1851 - val_loss: 65.9898 - val_mae: 65.9898\n",
      "Epoch 40/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 62.2054 - mae: 62.2054 - val_loss: 65.9502 - val_mae: 65.9502\n",
      "Epoch 41/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.7626 - mae: 61.7626 - val_loss: 65.9684 - val_mae: 65.9684\n",
      "Epoch 42/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 62.5887 - mae: 62.5887 - val_loss: 65.9504 - val_mae: 65.9504\n",
      "Epoch 43/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 62.0466 - mae: 62.0466 - val_loss: 65.9418 - val_mae: 65.9418\n",
      "Epoch 44/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.4860 - mae: 61.4860 - val_loss: 65.9181 - val_mae: 65.9181\n",
      "Epoch 45/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 62.0939 - mae: 62.0939 - val_loss: 65.8973 - val_mae: 65.8973\n",
      "Epoch 46/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 62.2407 - mae: 62.2407 - val_loss: 65.9022 - val_mae: 65.9022\n",
      "Epoch 47/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.7372 - mae: 61.7372 - val_loss: 65.8618 - val_mae: 65.8618\n",
      "Epoch 48/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.5656 - mae: 61.5656 - val_loss: 65.8668 - val_mae: 65.8668\n",
      "Epoch 49/70\n",
      "159/159 [==============================] - 5s 35ms/step - loss: 61.7658 - mae: 61.7658 - val_loss: 65.8421 - val_mae: 65.8421\n",
      "Epoch 50/70\n",
      "159/159 [==============================] - 5s 35ms/step - loss: 61.7609 - mae: 61.7609 - val_loss: 65.8153 - val_mae: 65.8153\n",
      "Epoch 51/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 61.5542 - mae: 61.5542 - val_loss: 65.8670 - val_mae: 65.8670\n",
      "Epoch 52/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.5473 - mae: 61.5473 - val_loss: 65.8827 - val_mae: 65.8827\n",
      "Epoch 53/70\n",
      "159/159 [==============================] - 5s 35ms/step - loss: 62.2220 - mae: 62.2220 - val_loss: 65.8556 - val_mae: 65.8556\n",
      "Epoch 54/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 61.4321 - mae: 61.4321 - val_loss: 65.8549 - val_mae: 65.8549\n",
      "Epoch 55/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.2162 - mae: 61.2162 - val_loss: 65.8962 - val_mae: 65.8962\n",
      "Epoch 56/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 61.3234 - mae: 61.3234 - val_loss: 65.8642 - val_mae: 65.8642\n",
      "Epoch 57/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 62.0612 - mae: 62.0612 - val_loss: 65.9013 - val_mae: 65.9013\n",
      "Epoch 58/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 61.6759 - mae: 61.6759 - val_loss: 65.8325 - val_mae: 65.8325\n",
      "Epoch 59/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.9034 - mae: 61.9034 - val_loss: 65.7771 - val_mae: 65.7771\n",
      "Epoch 60/70\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "159/159 [==============================] - 5s 34ms/step - loss: 61.7018 - mae: 61.7018 - val_loss: 65.8045 - val_mae: 65.8045\n",
      "Epoch 61/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 61.4455 - mae: 61.4455 - val_loss: 65.7753 - val_mae: 65.7753\n",
      "Epoch 62/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 61.2086 - mae: 61.2086 - val_loss: 65.7489 - val_mae: 65.7489\n",
      "Epoch 63/70\n",
      "159/159 [==============================] - 6s 35ms/step - loss: 61.4753 - mae: 61.4753 - val_loss: 65.7526 - val_mae: 65.7526\n",
      "Epoch 64/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.6810 - mae: 61.6810 - val_loss: 65.7439 - val_mae: 65.7439\n",
      "Epoch 65/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.1288 - mae: 61.1288 - val_loss: 65.7747 - val_mae: 65.7747\n",
      "Epoch 66/70\n",
      "159/159 [==============================] - 5s 35ms/step - loss: 61.3926 - mae: 61.3926 - val_loss: 65.7896 - val_mae: 65.7896\n",
      "Epoch 67/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.6091 - mae: 61.6091 - val_loss: 65.7343 - val_mae: 65.7343\n",
      "Epoch 68/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.1078 - mae: 61.1078 - val_loss: 65.6994 - val_mae: 65.6994\n",
      "Epoch 69/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 61.2304 - mae: 61.2304 - val_loss: 65.6697 - val_mae: 65.6697\n",
      "Epoch 70/70\n",
      "159/159 [==============================] - 5s 34ms/step - loss: 60.7064 - mae: 60.7064 - val_loss: 65.6824 - val_mae: 65.6824\n"
     ]
    }
   ],
   "source": [
    "mae = history_0.history['mae']\n",
    "val_mae = history_0.history['val_mae']\n",
    "\n",
    "\n",
    "history_0 = model_0.fit(train_dataset, epochs=70,\n",
    "                    steps_per_epoch=STEPS_PER_EPOCH,\n",
    "                    validation_data=valid_dataset,\n",
    "                    validation_steps = VAL_STEPS,\n",
    "                    # callbacks=[checkpointer],\n",
    "                    verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "724d4306",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Training and Validation MAE')"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mae += history_0.history['mae']\n",
    "val_mae += history_0.history['val_mae']\n",
    "\n",
    "\n",
    "\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.plot(mae, label='Training MAE')\n",
    "plt.plot(val_mae, label='Validation MAE')\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('Training and Validation MAE')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57abb61d",
   "metadata": {},
   "source": [
    "## Fine Tune"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "7c76e8c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of layers in the base model:  268\n"
     ]
    }
   ],
   "source": [
    "base_model_0.trainable=False\n",
    "print(\"Number of layers in the base model: \", len(base_model_0.layers))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "95a6361f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "241\n"
     ]
    }
   ],
   "source": [
    "base_model_0.trainable = True\n",
    "fine_tune_at = int(len(base_model_0.layers) * 0.9)\n",
    "print(fine_tune_at)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "f7f0e8f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 동결 해제\n",
    "fine_tune_at = int(len(base_model_0.layers) * 0.9)\n",
    "for i, layer in enumerate(base_model_0.layers) :\n",
    "    if i < fine_tune_at :\n",
    "        layer.trainable = False\n",
    "    else :\n",
    "           if 'bn' in layer.name :\n",
    "                layer.trainable = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "4b7d457b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_11\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "model_4 (Functional)         (None, 224, 224, 3)       0         \n",
      "_________________________________________________________________\n",
      "efficientnetv2-b0 (Functiona (None, 7, 7, 1280)        5919312   \n",
      "_________________________________________________________________\n",
      "global_average_pooling2d_7 ( (None, 1280)              0         \n",
      "_________________________________________________________________\n",
      "dense_14 (Dense)             (None, 64)                81984     \n",
      "_________________________________________________________________\n",
      "dense_15 (Dense)             (None, 1)                 65        \n",
      "=================================================================\n",
      "Total params: 6,001,361\n",
      "Trainable params: 1,225,313\n",
      "Non-trainable params: 4,776,048\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model_0.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "1f807e97",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_0.compile(optimizer=Adam(learning_rate=LEARNING_RATE/10),\n",
    "              loss='mae',\n",
    "              metrics=['mae'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "47984770",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/30\n",
      "159/159 [==============================] - 11s 45ms/step - loss: 60.8830 - mae: 60.8830 - val_loss: 65.7133 - val_mae: 65.7133\n",
      "\n",
      "Epoch 00001: val_mae improved from 66.90588 to 65.71329, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 2/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 60.7763 - mae: 60.7763 - val_loss: 65.7677 - val_mae: 65.7677\n",
      "\n",
      "Epoch 00002: val_mae did not improve from 65.71329\n",
      "Epoch 3/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 59.8612 - mae: 59.8612 - val_loss: 65.9660 - val_mae: 65.9660\n",
      "\n",
      "Epoch 00003: val_mae did not improve from 65.71329\n",
      "Epoch 4/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 60.1751 - mae: 60.1751 - val_loss: 65.8780 - val_mae: 65.8780\n",
      "\n",
      "Epoch 00004: val_mae did not improve from 65.71329\n",
      "Epoch 5/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 59.4502 - mae: 59.4502 - val_loss: 65.8352 - val_mae: 65.8352\n",
      "\n",
      "Epoch 00005: val_mae did not improve from 65.71329\n",
      "Epoch 6/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 58.8242 - mae: 58.8242 - val_loss: 65.9112 - val_mae: 65.9112\n",
      "\n",
      "Epoch 00006: val_mae did not improve from 65.71329\n",
      "Epoch 7/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 59.7315 - mae: 59.7315 - val_loss: 66.0781 - val_mae: 66.0781\n",
      "\n",
      "Epoch 00007: val_mae did not improve from 65.71329\n",
      "Epoch 8/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 58.8655 - mae: 58.8655 - val_loss: 65.9406 - val_mae: 65.9406\n",
      "\n",
      "Epoch 00008: val_mae did not improve from 65.71329\n",
      "Epoch 9/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 60.2613 - mae: 60.2613 - val_loss: 65.8172 - val_mae: 65.8172\n",
      "\n",
      "Epoch 00009: val_mae did not improve from 65.71329\n",
      "Epoch 10/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 59.6265 - mae: 59.6265 - val_loss: 65.8013 - val_mae: 65.8013\n",
      "\n",
      "Epoch 00010: val_mae did not improve from 65.71329\n",
      "Epoch 11/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 60.3147 - mae: 60.3147 - val_loss: 65.8518 - val_mae: 65.8518\n",
      "\n",
      "Epoch 00011: val_mae did not improve from 65.71329\n",
      "Epoch 12/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 59.2023 - mae: 59.2023 - val_loss: 65.8782 - val_mae: 65.8782\n",
      "\n",
      "Epoch 00012: val_mae did not improve from 65.71329\n",
      "Epoch 13/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 58.5414 - mae: 58.5414 - val_loss: 65.8371 - val_mae: 65.8371\n",
      "\n",
      "Epoch 00013: val_mae did not improve from 65.71329\n",
      "Epoch 14/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 59.2359 - mae: 59.2359 - val_loss: 66.0756 - val_mae: 66.0756\n",
      "\n",
      "Epoch 00014: val_mae did not improve from 65.71329\n",
      "Epoch 15/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 59.1894 - mae: 59.1894 - val_loss: 66.1139 - val_mae: 66.1139\n",
      "\n",
      "Epoch 00015: val_mae did not improve from 65.71329\n",
      "Epoch 16/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 59.1430 - mae: 59.1430 - val_loss: 65.9630 - val_mae: 65.9630\n",
      "\n",
      "Epoch 00016: val_mae did not improve from 65.71329\n",
      "Epoch 17/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 58.7989 - mae: 58.7989 - val_loss: 66.2318 - val_mae: 66.2318\n",
      "\n",
      "Epoch 00017: val_mae did not improve from 65.71329\n",
      "Epoch 18/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 58.3578 - mae: 58.3578 - val_loss: 65.9323 - val_mae: 65.9323\n",
      "\n",
      "Epoch 00018: val_mae did not improve from 65.71329\n",
      "Epoch 19/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 59.1287 - mae: 59.1287 - val_loss: 65.8573 - val_mae: 65.8573\n",
      "\n",
      "Epoch 00019: val_mae did not improve from 65.71329\n",
      "Epoch 20/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 58.2909 - mae: 58.2909 - val_loss: 65.8288 - val_mae: 65.8288\n",
      "\n",
      "Epoch 00020: val_mae did not improve from 65.71329\n",
      "Epoch 21/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 58.8784 - mae: 58.8784 - val_loss: 65.7554 - val_mae: 65.7554\n",
      "\n",
      "Epoch 00021: val_mae did not improve from 65.71329\n",
      "Epoch 22/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 58.3317 - mae: 58.3317 - val_loss: 65.9738 - val_mae: 65.9738\n",
      "\n",
      "Epoch 00022: val_mae did not improve from 65.71329\n",
      "Epoch 23/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 58.2838 - mae: 58.2838 - val_loss: 65.8642 - val_mae: 65.8642\n",
      "\n",
      "Epoch 00023: val_mae did not improve from 65.71329\n",
      "Epoch 24/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 58.7736 - mae: 58.7736 - val_loss: 66.1973 - val_mae: 66.1973\n",
      "\n",
      "Epoch 00024: val_mae did not improve from 65.71329\n",
      "Epoch 25/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 57.5332 - mae: 57.5332 - val_loss: 65.7690 - val_mae: 65.7690\n",
      "\n",
      "Epoch 00025: val_mae did not improve from 65.71329\n",
      "Epoch 26/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 58.8628 - mae: 58.8628 - val_loss: 65.6925 - val_mae: 65.6925\n",
      "\n",
      "Epoch 00026: val_mae improved from 65.71329 to 65.69252, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 27/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 58.7923 - mae: 58.7923 - val_loss: 65.3825 - val_mae: 65.3825\n",
      "\n",
      "Epoch 00027: val_mae improved from 65.69252 to 65.38255, saving model to ./Model_Save/eff_v2_S/effL.ckpt\n",
      "Epoch 28/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 58.6631 - mae: 58.6631 - val_loss: 65.6070 - val_mae: 65.6070\n",
      "\n",
      "Epoch 00028: val_mae did not improve from 65.38255\n",
      "Epoch 29/30\n",
      "159/159 [==============================] - 6s 37ms/step - loss: 58.5890 - mae: 58.5890 - val_loss: 65.5355 - val_mae: 65.5355\n",
      "\n",
      "Epoch 00029: val_mae did not improve from 65.38255\n",
      "Epoch 30/30\n",
      "159/159 [==============================] - 6s 36ms/step - loss: 57.6100 - mae: 57.6100 - val_loss: 65.5454 - val_mae: 65.5454\n",
      "\n",
      "Epoch 00030: val_mae did not improve from 65.38255\n"
     ]
    }
   ],
   "source": [
    "EPOCHS = 30\n",
    "STEPS_PER_EPOCH = len(train_img_path) // BATCH_SIZE\n",
    "VAL_STEPS = len(vali_img_path) // BATCH_SIZE\n",
    "\n",
    "history_fine = model_0.fit(train_dataset, epochs=EPOCHS,\n",
    "                    steps_per_epoch=STEPS_PER_EPOCH,\n",
    "                    validation_data=valid_dataset,\n",
    "                    validation_steps = VAL_STEPS,\n",
    "                    callbacks=[checkpointer],\n",
    "                    verbose=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "e2af56ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Training and Validation MAE')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mae += history_fine.history['mae']\n",
    "val_mae += history_fine.history['val_mae']\n",
    "\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.plot(mae, label='Training MAE')\n",
    "plt.plot(val_mae, label='Validation MAE')\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('Training and Validation MAE')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f90af04",
   "metadata": {},
   "source": [
    "### Prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e7b996b",
   "metadata": {},
   "outputs": [],
   "source": [
    "PRED_BATCH_SIZE = 10\n",
    "test_dataset, file_names = create_test_dataset(test_img_path, (IMAGE_SIZE, IMAGE_SIZE), PRED_BATCH_SIZE )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50e62d48",
   "metadata": {},
   "outputs": [],
   "source": [
    "STEPS = len(test_img_path) / PRED_BATCH_SIZE\n",
    "prediction = model.predict(test_dataset,\n",
    "                            batch_size = PRED_BATCH_SIZE,\n",
    "                            steps=STEPS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52e1adf9",
   "metadata": {},
   "outputs": [],
   "source": [
    "submission = pd.read_csv('./data/sample_submission.csv')\n",
    "submission['leaf_weight'] = prediction.squeeze()\n",
    "submission.to_csv('./data/effecientnet_cnn.csv', index=False)"
   ]
  }
 ],
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