single_img_path to infer_img as rec model, fix eval Hmean=0

configs/det/det_db_icdar15_reader.yml

@@ -15,7 +15,7 @@ EvalReader:
 TestReader:
   reader_function: ppocr.data.det.dataset_traversal,EvalTestReader
   process_function: ppocr.data.det.db_process,DBProcessTest
-  single_img_path: 
+  infer_img:
   img_set_dir: ./train_data/icdar2015/text_localization/
   label_file_path: ./train_data/icdar2015/text_localization/test_icdar2015_label.txt
   test_image_shape: [736, 1280]

configs/det/det_east_icdar15_reader.yml

@@ -17,7 +17,7 @@ EvalReader:
 TestReader:
   reader_function: ppocr.data.det.dataset_traversal,EvalTestReader
   process_function: ppocr.data.det.east_process,EASTProcessTest
-  single_img_path: 
+  infer_img:
   img_set_dir: ./train_data/icdar2015/text_localization/
   label_file_path: ./train_data/icdar2015/text_localization/test_icdar2015_label.txt
   do_eval: True

configs/rec/rec_benchmark_reader.yml

@@ -10,3 +10,4 @@ EvalReader:
 TestReader:
   reader_function: ppocr.data.rec.dataset_traversal,LMDBReader
   lmdb_sets_dir: ./train_data/data_lmdb_release/evaluation/
+  infer_img: ./infer_img
\ No newline at end of file

doc/detection.md

@@ -79,10 +79,10 @@ python3 tools/eval.py -c configs/det/det_mv3_db.yml  -o Global.checkpoints="./ou
 
 测试单张图像的检测效果
 ```
-python3 tools/infer_det.py -c configs/det/det_mv3_db.yml -o TestReader.single_img_path="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy"
+python3 tools/infer_det.py -c configs/det/det_mv3_db.yml -o TestReader.infer_img="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy"
 ```
 
 测试文件夹下所有图像的检测效果
 ```
-python3 tools/infer_det.py -c configs/det/det_mv3_db.yml -o TestReader.single_img_path="./doc/imgs_en/" Global.checkpoints="./output/det_db/best_accuracy"
+python3 tools/infer_det.py -c configs/det/det_mv3_db.yml -o TestReader.infer_img="./doc/imgs_en/" Global.checkpoints="./output/det_db/best_accuracy"
 ```

ppocr/data/det/dataset_traversal.py

@@ -84,7 +84,7 @@ class EvalTestReader(object):
                     img_path = os.path.join(img_set_dir, img_name)
                     img_list.append(img_path)
         else:
-            img_path = self.params['single_img_path']
+            img_path = self.params['infer_img']
             img_list = get_image_file_list(img_path)
 
         def batch_iter_reader():

tools/eval.py

@@ -78,6 +78,7 @@ def main():
             'fetch_name_list':eval_fetch_name_list,\
             'fetch_varname_list':eval_fetch_varname_list}
         metrics = eval_det_run(exe, config, eval_info_dict, "eval")
+        print("Eval result", metrics)
     else:
         reader_type = config['Global']['reader_yml']
         if "benchmark" not in reader_type:

tools/eval_utils/eval_det_utils.py

@@ -96,7 +96,7 @@ def load_label_infor(label_file_path, do_ignore=False):
                 if text == "###" and do_ignore:
                     ignore = True
                 bbox_infor[bno]['ignore'] = ignore
-            img_name_label_dict[substr[0]] = bbox_infor
+            img_name_label_dict[os.path.basename(substr[0])] = bbox_infor
     return img_name_label_dict
 
 

tools/infer_det.py

@@ -106,7 +106,6 @@ def main():
     with open(save_res_path, "wb") as fout:
 
         test_reader = reader_main(config=config, mode='test')
-        # image_file_list = get_image_file_list(args.image_dir)
         tackling_num = 0
         for data in test_reader():
             img_num = len(data)
@@ -135,7 +134,7 @@ def main():
             elif config['Global']['algorithm'] == 'DB':
                 dic = {'maps': outs[0]}
             else:
-                raise Exception("only support algorithm: ['EAST', 'BD']")
+                raise Exception("only support algorithm: ['EAST', 'DB']")
             dt_boxes_list = postprocess(dic, ratio_list)
             for ino in range(img_num):
                 dt_boxes = dt_boxes_list[ino]