use public function for inference

configs/rec/rec_chinese_lite_train.yml

-Global:
-  algorithm: CRNN
-  use_gpu: true
-  epoch_num: 300
-  log_smooth_window: 20
-  print_batch_step: 10
-  save_model_dir: output
-  save_epoch_step: 3
-  eval_batch_step: 2000
-  train_batch_size_per_card: 256
-  test_batch_size_per_card: 256
-  image_shape: [3, 32, 100]
-  max_text_length: 25
-  character_type: ch
-  character_dict_path: ./ppocr/utils/ppocr_keys_v1.txt
-  loss_type: ctc
-  reader_yml: ./configs/rec/rec_chinese_reader.yml
-  pretrain_weights: 
-  infer_img: ./infer_img 
-
-Architecture:
-  function: ppocr.modeling.architectures.rec_model,RecModel
-
-Backbone:
-  function: ppocr.modeling.backbones.rec_mobilenet_v3,MobileNetV3
-  scale: 0.5
-  model_name: small
-
-Head:
-  function: ppocr.modeling.heads.rec_ctc_head,CTCPredict
-  encoder_type: rnn
-  SeqRNN:
-    hidden_size: 48
-    
-Loss:
-  function: ppocr.modeling.losses.rec_ctc_loss,CTCLoss
-
-Optimizer:
-  function: ppocr.optimizer,AdamDecay
-  base_lr: 0.001
-  beta1: 0.9
-  beta2: 0.999

configs/rec/rec_chinese_reader.yml

-TrainReader:
-  reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
-  num_workers: 8
-  img_set_dir: ./train_data
-  label_file_path: ./train_data/train_label.txt
-  
-EvalReader:
-  reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
-  img_set_dir: ./train_data
-  label_file_path: ./train_data/test_label.txt
-
-TestReader:
-  reader_function: ppocr.data.rec.dataset_traversal,SimpleReader

configs/rec/rec_ic15_reader.yml → configs/rec/rec_icdar15_reader.yml

@@ -11,3 +11,4 @@ EvalReader:
 
 TestReader:
   reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
+  infer_img: ./infer_img

configs/rec/rec_ic15_train.yml → configs/rec/rec_icdar15_train.yml

@@ -5,8 +5,8 @@ Global:
   log_smooth_window: 20
   print_batch_step: 10
   save_model_dir: output_ic15
-  save_epoch_step: 3
-  eval_batch_step: 2000
+  save_epoch_step: 300
+  eval_batch_step: 200
   train_batch_size_per_card: 256
   test_batch_size_per_card: 256
   image_shape: [3, 32, 100]
@@ -14,9 +14,8 @@ Global:
   character_type: ch
   character_dict_path: ./ppocr/utils/ic15_dict.txt
   loss_type: ctc
-  reader_yml: ./configs/rec/rec_ic15_reader.yml
-  pretrain_weights: ./pretrain_models/best_accuracy 
-  infer_img: ./infer_img 
+  reader_yml: ./configs/rec/rec_icdar15_reader.yml
+  pretrain_weights: ./pretrain_models/CRNN/best_accuracy 
 
 Architecture:
   function: ppocr.modeling.architectures.rec_model,RecModel

ppocr/data/rec/dataset_traversal.py

@@ -22,6 +22,7 @@ import string
 import lmdb
 
 from ppocr.utils.utility import initial_logger
+from tools.infer.utility import get_image_file_list
 logger = initial_logger()
 
 from .img_tools import process_image, get_img_data
@@ -165,15 +166,7 @@ class SimpleReader(object):
 
         def sample_iter_reader():
             if self.mode == 'test':
-                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.split('.')[
-                            -1] not in ['bmp', 'jpg', 'jpeg', 'png', 'JPEG', 'JPG', 'PNG']:
-                            continue
-                        image_file_list.append(os.path.join(self.infer_img, single_file))
+                image_file_list = get_image_file_list(self.infer_img)
                 for single_img in image_file_list:
                     img = cv2.imread(single_img)
                     if img.shape[-1]==1 or len(list(img.shape))==2:

ppocr/utils/ic15_dict.txt

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

set_env.sh

-#. /paddle/set_env.sh↩
-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

@@ -46,7 +46,7 @@ from ppocr.data.reader_main import reader_main
 from ppocr.utils.save_load import init_model
 from ppocr.utils.character import CharacterOps
 from ppocr.utils.utility import create_module
-
+from tools.infer.utility import get_image_file_list
 logger = initial_logger()
 
 
@@ -79,11 +79,8 @@ def main():
     init_model(config, eval_prog, exe)
 
     blobs = reader_main(config, 'test')()
-    infer_img = config['Global']['infer_img']
-    if os.path.isfile(infer_img):
-        infer_list = [infer_img]
-    elif os.path.isdir(infer_img):
-        infer_list = os.listdir(config['Global']['infer_img'])
+    infer_img = config['TestReader']['infer_img']
+    infer_list = get_image_file_list(infer_img)
     max_img_num = len(infer_list)
     if len(infer_list) == 0:
         logger.info("Can not find img in infer_img dir.")