From 65a3e1250bc304262ffa646972c0830ea5ed4006 Mon Sep 17 00:00:00 2001
From: Marvin Teichmann <marvin.teichmann@googlemail.com>
Date: Tue, 21 Mar 2017 09:06:09 -0400
Subject: [PATCH] Add ResNet 50

---
 hypes/KittiSeg_ResNet.json   |  4 +-
 hypes/KittiSeg_ResNet50.json | 75 ++++++++++++++++++++++++++++++++++++
 2 files changed, 77 insertions(+), 2 deletions(-)
 create mode 100644 hypes/KittiSeg_ResNet50.json

diff --git a/hypes/KittiSeg_ResNet.json b/hypes/KittiSeg_ResNet.json
index 310891a..6a8b4f0 100644
--- a/hypes/KittiSeg_ResNet.json
+++ b/hypes/KittiSeg_ResNet.json
@@ -19,7 +19,7 @@
   },
  
   "arch": {
-    "layers": 50,
+    "layers": 101,
     "num_classes" : 2,
     "image_size" : 50,
     "weight": [1, 2],
@@ -70,6 +70,6 @@
   "clip_norm" : 1.0,
   "wd": 5e-4,
   "load_pretrained": true,
-  "use_moving_average_bn": false,
+  "use_moving_average_bn": true,
   "scale_down": 0.5
 }
diff --git a/hypes/KittiSeg_ResNet50.json b/hypes/KittiSeg_ResNet50.json
new file mode 100644
index 0000000..f7d42cd
--- /dev/null
+++ b/hypes/KittiSeg_ResNet50.json
@@ -0,0 +1,75 @@
+{
+  "model": {
+    "input_file": "../inputs/kitti_seg_input.py",
+    "architecture_file" : "../encoder/resnet.py",
+    "objective_file" : "../decoder/fcn.py",
+    "optimizer_file" : "../optimizer/generic_optimizer.py",
+    "evaluator_file" : "../evals/kitti_eval.py"
+  },
+  
+  "path": ["../incl"],
+
+  "data": {
+    "train_file" : "data_road/train3.txt",
+    "val_file" : "data_road/val3.txt",
+    "road_color" : [255,0,255],
+    "background_color" : [255,0,0],
+    "vgg_url": "https://dl.dropboxusercontent.com/u/50333326/vgg16.npy",
+    "kitti_url": ""
+  },
+ 
+  "arch": {
+    "layers": 50,
+    "num_classes" : 2,
+    "image_size" : 50,
+    "weight": [1, 2],
+    "num_channels" : 3,
+    "whitening": false
+  },
+
+
+  "jitter": {
+    "random_resize": false,
+    "lower_size": 0.4,
+    "upper_size": 1.7,
+    "sig": 0.15,
+    "res_chance": 0.4,
+    "random_crop": true,
+    "crop_patch": false,
+    "patch_height": 256,
+    "patch_width": 256,
+    "max_crop": 32,
+    "crop_chance": 0.8,
+    "fix_shape": false,
+    "reseize_image": true,
+    "image_height" : 384,
+    "image_width" : 1248,
+    "augment_level": 1
+  },
+
+  "logging": {
+    "display_iter": 50,
+    "eval_iter": 250,
+    "write_iter": 250,
+    "save_iter": 2000,
+    "image_iter": 20000
+  },
+
+  "solver": {
+      "opt": "Adam",
+      "batch_size": 1,
+      "epsilon": 0.000000001,
+      "adam_eps": 0.00001,
+      "threads": 4,
+      "learning_rate": 1e-5,
+      "learning_rate_step": null,
+      "max_steps": 12000
+  },
+  "use_fc_wd": true,
+  "loss": "xentropy",
+  "clip_norm" : 1.0,
+  "wd": 5e-4,
+  "load_pretrained": true,
+  "use_moving_average_bn": true,
+  "scale_down": 0.5
+}