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Merge pull request #1402 from MissPenguin/dygraph

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fix predict_det
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MissPenguin 2020-12-13 14:50:51 +08:00 committed by GitHub
commit 52671b7db2
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2 changed files with 3 additions and 2 deletions
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2
ppocr/postprocess/db_postprocess.py Normal file → Executable file
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@ -40,7 +40,7 @@ class DBPostProcess(object):
self.max_candidates = max_candidates
self.unclip_ratio = unclip_ratio
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):
'''

3
tools/infer/predict_det.py
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@ -63,6 +63,7 @@ class TextDetector(object):
postprocess_params["box_thresh"] = args.det_db_box_thresh
postprocess_params["max_candidates"] = 1000
postprocess_params["unclip_ratio"] = args.det_db_unclip_ratio
postprocess_params["use_dilation"] = True
else:
logger.info("unknown det_algorithm:{}".format(self.det_algorithm))
sys.exit(0)
@ -111,7 +112,7 @@ class TextDetector(object):
box = self.clip_det_res(box, img_height, img_width)
rect_width = int(np.linalg.norm(box[0] - box[1]))
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
dt_boxes_new.append(box)
dt_boxes = np.array(dt_boxes_new)