rename structure 2 table

test1/api.md

@@ -36,16 +36,18 @@ Types 1-4 follow the traditional OCR process, and 5 follow the Table OCR process
 
 4.1.1 Use by code
 ```python
+import os
 import cv2
-from paddlestructure import PaddleStructure,draw_result
+from paddlestructure import PaddleStructure,draw_result,save_res
 
-table_engine = PaddleStructure(
-    output='./output/table',
-    show_log=True)
+table_engine = PaddleStructure(show_log=True)
 
+save_folder = './output/table'
 img_path = '../doc/table/1.png'
 img = cv2.imread(img_path)
 result = table_engine(img)
+save_res(result, save_folder,os.path.basename(img_path).split('.')[0])
+
 for line in result:
     print(line)
 

test1/api_ch.md

@@ -36,16 +36,18 @@ PaddleStructure 是一个用于复杂板式文字OCR的工具包，流程如下
 
 4.1.1 代码使用
 ```python
+import os
 import cv2
-from paddlestructure import PaddleStructure,draw_result
+from paddlestructure import PaddleStructure,draw_result,save_res
 
-table_engine = PaddleStructure(
-    output='./output/table',
-    show_log=True)
+table_engine = PaddleStructure(show_log=True)
 
+save_folder = './output/table'
 img_path = '../doc/table/1.png'
 img = cv2.imread(img_path)
 result = table_engine(img)
+save_res(result, save_folder,os.path.basename(img_path).split('.')[0])
+
 for line in result:
     print(line)
 

test1/paddlestructure.py

@@ -32,7 +32,7 @@ logger = get_logger()
 from ppocr.utils.utility import check_and_read_gif, get_image_file_list
 from ppocr.utils.network import maybe_download, download_with_progressbar, confirm_model_dir_url, is_link
 
-__all__ = ['PaddleStructure', 'draw_result', 'to_excel']
+__all__ = ['PaddleStructure', 'draw_result', 'save_res']
 
 VERSION = '2.1'
 BASE_DIR = os.path.expanduser("~/.paddlestructure/")
@@ -40,7 +40,7 @@ BASE_DIR = os.path.expanduser("~/.paddlestructure/")
 model_urls = {
     'det': 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_det_infer.tar',
     'rec': 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_rec_infer.tar',
-    'structure': 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_structure_infer.tar'
+    'table': 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_structure_infer.tar'
 
 }
 
@@ -51,7 +51,7 @@ def parse_args(mMain=True):
     parser.add_help = mMain
 
     for action in parser._actions:
-        if action.dest in ['rec_char_dict_path', 'structure_char_dict_path']:
+        if action.dest in ['rec_char_dict_path', 'table_char_dict_path']:
             action.default = None
     if mMain:
         return parser.parse_args()
@@ -76,13 +76,13 @@ class PaddleStructure(OCRSystem):
         params.rec_model_dir, rec_url = confirm_model_dir_url(params.rec_model_dir,
                                                               os.path.join(BASE_DIR, VERSION, 'rec'),
                                                               model_urls['rec'])
-        params.structure_model_dir, structure_url = confirm_model_dir_url(params.structure_model_dir,
-                                                                          os.path.join(BASE_DIR, VERSION, 'structure'),
-                                                                          model_urls['structure'])
+        params.table_model_dir, table_url = confirm_model_dir_url(params.table_model_dir,
+                                                                          os.path.join(BASE_DIR, VERSION, 'table'),
+                                                                          model_urls['table'])
         # download model
         maybe_download(params.det_model_dir, det_url)
         maybe_download(params.rec_model_dir, rec_url)
-        maybe_download(params.structure_model_dir, structure_url)
+        maybe_download(params.table_model_dir, table_url)
 
         if params.rec_char_dict_path is None:
             params.rec_char_type = 'EN'
@@ -90,12 +90,12 @@ class PaddleStructure(OCRSystem):
                 params.rec_char_dict_path = str(Path(__file__).parent / 'ppocr/utils/dict/table_dict.txt')
             else:
                 params.rec_char_dict_path = str(Path(__file__).parent.parent / 'ppocr/utils/dict/table_dict.txt')
-        if params.structure_char_dict_path is None:
+        if params.table_char_dict_path is None:
             if os.path.exists(str(Path(__file__).parent / 'ppocr/utils/dict/table_structure_dict.txt')):
-                params.structure_char_dict_path = str(
+                params.table_char_dict_path = str(
                     Path(__file__).parent / 'ppocr/utils/dict/table_structure_dict.txt')
             else:
-                params.structure_char_dict_path = str(
+                params.table_char_dict_path = str(
                     Path(__file__).parent.parent / 'ppocr/utils/dict/table_structure_dict.txt')
 
         print(params)
@@ -145,4 +145,24 @@ def main():
         for item in result:
             logger.info(item['res'])
         save_res(result, save_folder, img_name)
-        logger.info('result save to {}'.format(os.path.join(save_folder, img_name)))
\ No newline at end of file
+        logger.info('result save to {}'.format(os.path.join(save_folder, img_name)))
+
+if __name__ == '__main__':
+    table_engine = PaddleStructure(show_log=True)
+
+    img_path = '../test/test_imgs/PMC1173095_006_00.png'
+    img = cv2.imread(img_path)
+    result = table_engine(img)
+    save_res(result, '/Users/zhoujun20/Desktop/工作相关/table/table_pr/PaddleOCR/output/table',
+             os.path.basename(img_path).split('.')[0])
+
+    for line in result:
+        print(line)
+
+    from PIL import Image
+
+    font_path = '../doc/fonts/simfang.ttf'
+    image = Image.open(img_path).convert('RGB')
+    im_show = draw_result(image, result, font_path=font_path)
+    im_show = Image.fromarray(im_show)
+    im_show.save('result.jpg')
\ No newline at end of file

test1/table/README.md

@@ -36,7 +36,7 @@ In gt json, the key is the image name, the value is the corresponding gt, and gt
 
 Use the following command to evaluate. After the evaluation is completed, the teds indicator will be output.
 ```python
-python3 table/eval_table.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --structure_model_dir=path/to/structure_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --structure_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --gt_path=path/to/gt.json
+python3 table/eval_table.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --gt_path=path/to/gt.json
 ```
 
 
@@ -44,6 +44,6 @@ python3 table/eval_table.py --det_model_dir=path/to/det_model_dir --rec_model_di
 First cd to the PaddleOCR/ppstructure directory
 
 ```python
-python3 table/predict_table.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --structure_model_dir=path/to/structure_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --structure_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output ../output/table
+python3 table/predict_table.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output ../output/table
 ```
 After running, the excel sheet of each picture will be saved in the directory specified by the table_output field
\ No newline at end of file

test1/table/README_ch.md

@@ -36,7 +36,7 @@ json 中，key为图片名，value为对于的gt，gt是一个由四个item组
 
 准备完成后使用如下命令进行评估，评估完成后会输出teds指标。
 ```python
-python3 table/eval_table.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --structure_model_dir=path/to/structure_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --structure_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --gt_path=path/to/gt.json
+python3 table/eval_table.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --gt_path=path/to/gt.json
 ```
 
 
@@ -44,6 +44,6 @@ python3 table/eval_table.py --det_model_dir=path/to/det_model_dir --rec_model_di
 先cd到PaddleOCR/ppstructure目录下
 
 ```python
-python3 table/predict_table.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --structure_model_dir=path/to/structure_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --structure_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output ../output/table
+python3 table/predict_table.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output ../output/table
 ```
 运行完成后，每张图片的excel表格会保存到table_output字段指定的目录下

test1/table/predict_structure.py

@@ -41,7 +41,7 @@ class TableStructurer(object):
     def __init__(self, args):
         pre_process_list = [{
             'ResizeTableImage': {
-                'max_len': args.structure_max_len
+                'max_len': args.table_max_len
             }
         }, {
             'NormalizeImage': {
@@ -61,14 +61,14 @@ class TableStructurer(object):
         }]
         postprocess_params = {
             'name': 'TableLabelDecode',
-            "character_type": args.structure_char_type,
-            "character_dict_path": args.structure_char_dict_path,
+            "character_type": args.table_char_type,
+            "character_dict_path": args.table_char_dict_path,
         }
 
         self.preprocess_op = create_operators(pre_process_list)
         self.postprocess_op = build_post_process(postprocess_params)
         self.predictor, self.input_tensor, self.output_tensors, self.config = \
-            utility.create_predictor(args, 'structure', logger)
+            utility.create_predictor(args, 'table', logger)
 
     def __call__(self, img):
         ori_im = img.copy()

test1/utility.py

@@ -23,10 +23,10 @@ def init_args():
     # params for output
     parser.add_argument("--output", type=str, default='./output/table')
     # params for table structure
-    parser.add_argument("--structure_max_len", type=int, default=488)
-    parser.add_argument("--structure_model_dir", type=str)
-    parser.add_argument("--structure_char_type", type=str, default='en')
-    parser.add_argument("--structure_char_dict_path", type=str, default="../ppocr/utils/dict/table_structure_dict.txt")
+    parser.add_argument("--table_max_len", type=int, default=488)
+    parser.add_argument("--table_model_dir", type=str)
+    parser.add_argument("--table_char_type", type=str, default='en')
+    parser.add_argument("--table_char_dict_path", type=str, default="../ppocr/utils/dict/table_structure_dict.txt")
 
     return parser
 

tools/infer/utility.py

@@ -201,8 +201,8 @@ def create_predictor(args, mode, logger):
         model_dir = args.cls_model_dir
     elif mode == 'rec':
         model_dir = args.rec_model_dir
-    elif mode == 'structure':
-        model_dir = args.structure_model_dir
+    elif mode == 'table':
+        model_dir = args.table_model_dir
     else:
         model_dir = args.e2e_model_dir
 
@@ -331,7 +331,7 @@ def create_predictor(args, mode, logger):
     config.disable_glog_info()
 
     config.delete_pass("conv_transpose_eltwiseadd_bn_fuse_pass")
-    if mode == 'structure':
+    if mode == 'table':
         config.delete_pass("fc_fuse_pass") # not supported for table    
     config.switch_use_feed_fetch_ops(False)
     config.switch_ir_optim(True)