From ec2b4307d4f7aa1b790834040104b3b6b0b61d25 Mon Sep 17 00:00:00 2001
From: yizt <csuyzt@163.com>
Date: Sat, 11 Jan 2020 20:15:32 +0800
Subject: [PATCH] inference image directory

---
 demo.py | 42 +++++++++++++++++++++++++++++-------------
 1 file changed, 29 insertions(+), 13 deletions(-)

diff --git a/demo.py b/demo.py
index 82dea30..a70dbbd 100644
--- a/demo.py
+++ b/demo.py
@@ -5,14 +5,17 @@
  @Author  : yizuotian
  @Description    :
 """
-import sys
 import argparse
 import itertools
-import crnn
-from PIL import Image
+import os
+import sys
+
+import cv2
 import numpy as np
 import torch
-import cv2
+from PIL import Image
+
+import crnn
 from config import cfg
 
 
@@ -38,26 +41,39 @@ def load_image(image_path):
     return image
 
 
-def main(args):
-    alpha = cfg.word.get_all_words()
-    net = crnn.CRNN(num_classes=len(alpha))
-    net.load_state_dict(torch.load(args.weight_path, map_location='cpu')['model'])
-    net.eval()
-    # load image
-    image = load_image(args.image_path)
+def inference_image(net, alpha, image_path):
+    image = load_image(image_path)
     image = torch.FloatTensor(image)
 
     predict = net(image)[0].detach().numpy()  # [W,num_classes]
     label = np.argmax(predict[:], axis=1)
     label = [alpha[class_id] for class_id in label]
-    print(''.join(label))
     label = [k for k, g in itertools.groupby(list(label))]
-    print(''.join(label))
+    label = ''.join(label).replace(' ', '')
+    return label
+
+
+def main(args):
+    alpha = cfg.word.get_all_words()
+    net = crnn.CRNN(num_classes=len(alpha))
+    net.load_state_dict(torch.load(args.weight_path, map_location='cpu')['model'])
+    net.eval()
+    # load image
+    if args.image_dir:
+        image_path_list = [os.path.join(args.image_dir, n) for n in os.listdir(args.image_dir)]
+        image_path_list.sort()
+        for image_path in image_path_list:
+            label = inference_image(net, alpha, image_path)
+            print("image_path:{},label:{}".format(image_path, label))
+    else:
+        label = inference_image(net, alpha, args.image_path)
+        print("image_path:{},label:{}".format(args.image_path, label))
 
 
 if __name__ == '__main__':
     parse = argparse.ArgumentParser()
     parse.add_argument("--image-path", type=str, default=None, help="test image path")
     parse.add_argument("--weight-path", type=str, default=None, help="weight path")
+    parse.add_argument("--image-dir", type=str, default=None, help="test image directory")
     arguments = parse.parse_args(sys.argv[1:])
     main(arguments)