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								ppocr/postprocess/db_postprocess.py
									
									
									
									
									
										
										
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								ppocr/postprocess/db_postprocess.py
									
									
									
									
									
										
										
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							| @ -40,7 +40,7 @@ class DBPostProcess(object): | |||||||
|         self.max_candidates = max_candidates |         self.max_candidates = max_candidates | ||||||
|         self.unclip_ratio = unclip_ratio |         self.unclip_ratio = unclip_ratio | ||||||
|         self.min_size = 3 |         self.min_size = 3 | ||||||
|         self.dilation_kernel = None if not use_dilation else [[1, 1], [1, 1]] |         self.dilation_kernel = None if not use_dilation else np.array([[1, 1], [1, 1]]) | ||||||
| 
 | 
 | ||||||
|     def boxes_from_bitmap(self, pred, _bitmap, dest_width, dest_height): |     def boxes_from_bitmap(self, pred, _bitmap, dest_width, dest_height): | ||||||
|         ''' |         ''' | ||||||
|  | |||||||
| @ -63,6 +63,7 @@ class TextDetector(object): | |||||||
|             postprocess_params["box_thresh"] = args.det_db_box_thresh |             postprocess_params["box_thresh"] = args.det_db_box_thresh | ||||||
|             postprocess_params["max_candidates"] = 1000 |             postprocess_params["max_candidates"] = 1000 | ||||||
|             postprocess_params["unclip_ratio"] = args.det_db_unclip_ratio |             postprocess_params["unclip_ratio"] = args.det_db_unclip_ratio | ||||||
|  |             postprocess_params["use_dilation"] = True | ||||||
|         else: |         else: | ||||||
|             logger.info("unknown det_algorithm:{}".format(self.det_algorithm)) |             logger.info("unknown det_algorithm:{}".format(self.det_algorithm)) | ||||||
|             sys.exit(0) |             sys.exit(0) | ||||||
| @ -111,7 +112,7 @@ class TextDetector(object): | |||||||
|             box = self.clip_det_res(box, img_height, img_width) |             box = self.clip_det_res(box, img_height, img_width) | ||||||
|             rect_width = int(np.linalg.norm(box[0] - box[1])) |             rect_width = int(np.linalg.norm(box[0] - box[1])) | ||||||
|             rect_height = int(np.linalg.norm(box[0] - box[3])) |             rect_height = int(np.linalg.norm(box[0] - box[3])) | ||||||
|             if rect_width <= 10 or rect_height <= 10: |             if rect_width <= 3 or rect_height <= 3: | ||||||
|                 continue |                 continue | ||||||
|             dt_boxes_new.append(box) |             dt_boxes_new.append(box) | ||||||
|         dt_boxes = np.array(dt_boxes_new) |         dt_boxes = np.array(dt_boxes_new) | ||||||
|  | |||||||
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