fix infer_rec and add ic15_dict

configs/rec/rec_chinese_lite_train.yml

@@ -15,8 +15,9 @@ Global:
   character_dict_path: ./ppocr/utils/ppocr_keys_v1.txt
   loss_type: ctc
   reader_yml: ./configs/rec/rec_chinese_reader.yml
-  pretrain_weights:
-  
+  pretrain_weights: best_accuracy
+  infer_img: ./infer_img 
+
 Architecture:
   function: ppocr.modeling.architectures.rec_model,RecModel
 

configs/rec/rec_chinese_reader.yml

 TrainReader:
   reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
   num_workers: 8
-  img_set_dir: .
-  label_file_path: ./train_data/hard_label.txt
+  img_set_dir: ./train_data
+  label_file_path: ./train_data/gt_train.txt
   
 EvalReader:
   reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
-  img_set_dir: .
-  label_file_path: ./train_data/label_val_all.txt
+  img_set_dir: ./train_data
+  label_file_path: ./train_data/gt_test.txt
 
 TestReader:
   reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
-  infer_img: ./infer_img

ppocr/data/rec/dataset_traversal.py

@@ -143,8 +143,9 @@ class SimpleReader(object):
             self.num_workers = 1
         else:
             self.num_workers = params['num_workers']
-        self.img_set_dir = params['img_set_dir']
-        self.label_file_path = params['label_file_path']
+        if params['mode'] != 'test':
+            self.img_set_dir = params['img_set_dir']
+            self.label_file_path = params['label_file_path']
         self.char_ops = params['char_ops']
         self.image_shape = params['image_shape']
         self.loss_type = params['loss_type']
@@ -164,10 +165,17 @@ class SimpleReader(object):
 
         def sample_iter_reader():
             if self.mode == 'test':
-                print("infer_img:", self.infer_img)
-                img = cv2.imread(self.infer_img)
-                norm_img = process_image(img, self.image_shape)
-                yield norm_img
+                image_file_list = []
+                if os.path.isfile(self.infer_img):
+                    image_file_list = [self.infer_img]
+                elif os.path.isdir(self.infer_img):
+                    for single_file in os.listdir(self.infer_img):
+                        if single_file.endswith('png') or single_file.endswith('jpg'):
+                            image_file_list.append(os.path.join(self.infer_img, single_file))
+                for single_img in image_file_list:
+                    img = cv2.imread(single_img)
+                    norm_img = process_image(img, self.image_shape)
+                    yield norm_img
             with open(self.label_file_path, "rb") as fin:
                 label_infor_list = fin.readlines()
             img_num = len(label_infor_list)
@@ -179,6 +187,7 @@ class SimpleReader(object):
                 img_path = self.img_set_dir + "/" + substr[0]
                 img = cv2.imread(img_path)
                 if img is None:
+                    logger.info("{} does not exist!".format(img_path))
                     continue
                 label = substr[1]
                 outs = process_image(img, self.image_shape, label,
@@ -198,4 +207,6 @@ class SimpleReader(object):
             if len(batch_outs) != 0:
                 yield batch_outs
 
-        return batch_iter_reader
+        if self.mode != 'test':
+            return batch_iter_reader
+        return sample_iter_reader

ppocr/utils/ic15_dict.txt

+J
+O
+I
+N
+T
+y
+o
+u
+r
+s
+e
+l
+f
+1
+5
+4
+9
+7
+2
+8
+0
+F
+m
+P
+A
+B
+L
+C
+K
+S
+R
+E
+Y
+U
+p
+d
+g
+a
+t
+i
+n
+h
+W
+D
+v
+H
+V
+G
+w
+M
+!
+k
+c
+.
+(
+)
+X
+b
+-
+Q
+x
+Z
+?
+@
+3
+/
+%
+$
+,
+'
+:
+z
+&
+j
+6
++
+ 
+[
+]
+;
+#
+q
+\
+´
+É
+=

set_env.sh

 #. /paddle/set_env.sh↩
-export CUDA_VISIBLE_DEVICES="0,1,2,3"↩
-export PYTHONPATH=$PYTHONPATH:.↩
-export FLAGS_fraction_of_gpu_memory_to_use=1.0↩
-↩
-python_bin_dir="/opt/_internal/cpython-3.7.0/bin/"↩
-alias python=$python_bin_dir"python3.7"↩
-alias pip=$python_bin_dir"pip3.7"↩
-alias ipython=$python_bin_dir"ipython3"↩
-export  LD_LIBRARY_PATH=/opt/_internal/cpython-3.7.0/lib:$LD_LIBRARY_PATH↩
-export PYTHONPATH=$PYTHONPATH:.↩
-ldconfig↩
+export CUDA_VISIBLE_DEVICES="0,1,2,3"
+export FLAGS_fraction_of_gpu_memory_to_use=1.0
+python_bin_dir="/opt/_internal/cpython-3.7.0/bin/"
+alias python=$python_bin_dir"python3.7"
+alias pip=$python_bin_dir"pip3.7"
+alias ipython=$python_bin_dir"ipython3"
+export  LD_LIBRARY_PATH=/opt/_internal/cpython-3.7.0/lib:$LD_LIBRARY_PATH
+export PYTHONPATH=$PYTHONPATH:.
+ldconfig

tools/infer_rec.py

@@ -20,7 +20,7 @@ import os
 import time
 import multiprocessing
 import numpy as np
-
+import glob
 
 def set_paddle_flags(**kwargs):
     for key, value in kwargs.items():
@@ -79,9 +79,14 @@ def main():
 
     init_model(config, eval_prog, exe)
 
-    blobs = reader_main(config, 'test')
-    imgs = next(blobs())
-    for img in imgs:
+    blobs = reader_main(config, 'test')()
+    infer_list = os.listdir(config['Global']['infer_img'])
+    max_img_num = len(infer_list)
+    if len(infer_list) == 0:
+        logger.info("Can not find img in infer_img dir.")
+    for i in range(max_img_num):
+        print("infer_img:",infer_list[i])
+        img = next(blobs)
         predict = exe.run(program=eval_prog,
                           feed={"image": img},
                           fetch_list=fetch_varname_list,
@@ -101,8 +106,8 @@ def main():
             preds_text = preds_text.reshape(-1)
             preds_text = char_ops.decode(preds_text)
 
-        print(preds)
-        print(preds_text)
+        print("\t index:",preds)
+        print("\t word :",preds_text)
 
     # save for inference model
     target_var = []