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Error with pyclipper inhomogeneous expanded array
In case of det_box_type='poly', for some images, np.array(offset.Execute(distance)) can result in inhomogeneous part of the detection box list, which cannot be casted into numpy array directly. Due to this the following error occurs:
File "C:\Users\ekser\OneDrive\Documents\OCR\cwat-integrator\venv_new\lib\site-packages\paddleocr\paddleocr.py", line 670, in ocr
dt_boxes, rec_res, _ = self.__call__(img, max_dt_boxes, cls)
File "C:\Users\ekser\OneDrive\Documents\OCR\cwat-integrator\venv_new\lib\site-packages\paddleocr\tools\infer\predict_system.py", line 76, in __call__
dt_boxes, elapse = self.text_detector(binarize_img(img))
File "C:\Users\ekser\OneDrive\Documents\OCR\cwat-integrator\venv_new\lib\site-packages\paddleocr\tools\infer\predict_det.py", line 318, in __call__
post_result = self.postprocess_op(preds, shape_list)
File "C:\Users\ekser\OneDrive\Documents\OCR\cwat-integrator\venv_new\lib\site-packages\paddleocr\ppocr\postprocess\db_postprocess.py", line 239, in __call__
boxes, scores = self.polygons_from_bitmap(pred[batch_index],
File "C:\Users\ekser\OneDrive\Documents\OCR\cwat-integrator\venv_new\lib\site-packages\paddleocr\ppocr\postprocess\db_postprocess.py", line 84, in polygons_from_bitmap
box = self.unclip(points, self.unclip_ratio)
File "C:\Users\ekser\OneDrive\Documents\OCR\cwat-integrator\venv_new\lib\site-packages\paddleocr\ppocr\postprocess\db_postprocess.py", line 159, in unclip
return np.array(expanded)
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part.
This is because the expanded list from pyclipper's offset.Execute is an inhomogeneous list. For example, in the case of the following image:
the expanded list (before converting to numpy array) is as follows:
[[[47, 79], [45, 79], [46, 78]], [[56, 78], [58, 78], [59, 79], [55, 79]]] which is an inhomogeneous list and cannot be cast directly to the numpy array. Such expanded lists generally represent the detections with very small area thus resembling lines instead of polygons. Thus, it is better to eliminate such detections.
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not work for me
paddleocr --image_dir doc/imgs/1.jpg --det_box_type poly
[2024/05/15 15:16:12] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=False, use_xpu=False, use_npu=False, use_mlu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir='doc/imgs/1.jpg', page_num=0, det_algorithm='DB', det_model_dir='/Users/wangxin/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer', det_limit_side_len=960, det_limit_type='max', det_box_type='poly', det_db_thresh=0.3, det_db_box_thresh=0.6, det_db_unclip_ratio=1.5, max_batch_size=10, use_dilation=False, det_db_score_mode='fast', det_east_score_thresh=0.8, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_sast_score_thresh=0.5, det_sast_nms_thresh=0.2, det_pse_thresh=0, det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, scales=[8, 16, 32], alpha=1.0, beta=1.0, fourier_degree=5, rec_algorithm='SVTR_LCNet', rec_model_dir='/Users/wangxin/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_infer', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/ppocr/utils/ppocr_keys_v1.txt', use_space_char=True, vis_font_path='./doc/fonts/simfang.ttf', drop_score=0.5, e2e_algorithm='PGNet', e2e_model_dir=None, e2e_limit_side_len=768, e2e_limit_type='max', e2e_pgnet_score_thresh=0.5, e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_pgnet_valid_set='totaltext', e2e_pgnet_mode='fast', use_angle_cls=False, cls_model_dir='/Users/wangxin/.paddleocr/whl/cls/ch_ppocr_mobile_v2.0_cls_infer', cls_image_shape='3, 48, 192', label_list=['0', '180'], cls_batch_num=6, cls_thresh=0.9, enable_mkldnn=False, cpu_threads=10, use_pdserving=False, warmup=False, sr_model_dir=None, sr_image_shape='3, 32, 128', sr_batch_num=1, draw_img_save_dir='./inference_results', save_crop_res=False, crop_res_save_dir='./output', use_mp=False, total_process_num=1, process_id=0, benchmark=False, save_log_path='./log_output/', show_log=True, use_onnx=False, return_word_box=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir=None, merge_no_span_structure=True, table_char_dict_path=None, layout_model_dir=None, layout_dict_path=None, layout_score_threshold=0.5, layout_nms_threshold=0.5, kie_algorithm='LayoutXLM', ser_model_dir=None, re_model_dir=None, use_visual_backbone=True, ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ocr_order_method=None, mode='structure', image_orientation=False, layout=True, table=True, ocr=True, recovery=False, use_pdf2docx_api=False, invert=False, binarize=False, alphacolor=(255, 255, 255), lang='ch', det=True, rec=True, type='ocr', savefile=False, ocr_version='PP-OCRv4', structure_version='PP-StructureV2')
[2024/05/15 15:16:13] ppocr INFO: **********doc/imgs/1.jpg**********
Traceback (most recent call last):
File "/Users/wangxin/miniconda3/envs/ppocr/bin/paddleocr", line 33, in <module>
sys.exit(load_entry_point('paddleocr==2.8.0', 'console_scripts', 'paddleocr')())
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/paddleocr.py", line 880, in main
result = engine.ocr(
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/paddleocr.py", line 727, in ocr
dt_boxes, rec_res, _ = self.__call__(img, cls)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_system.py", line 83, in __call__
dt_boxes, elapse = self.text_detector(img)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_det.py", line 379, in __call__
dt_boxes, elapse = self.predict(img)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_det.py", line 268, in predict
post_result = self.postprocess_op(preds, shape_list)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/ppocr/postprocess/db_postprocess.py", line 240, in __call__
boxes, scores = self.polygons_from_bitmap(
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/ppocr/postprocess/db_postprocess.py", line 92, in polygons_from_bitmap
box = box.reshape(-1, 2)
AttributeError: 'list' object has no attribute 'reshape'
not work for me
paddleocr --image_dir doc/imgs/1.jpg --det_box_type poly[2024/05/15 15:16:12] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=False, use_xpu=False, use_npu=False, use_mlu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir='doc/imgs/1.jpg', page_num=0, det_algorithm='DB', det_model_dir='/Users/wangxin/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer', det_limit_side_len=960, det_limit_type='max', det_box_type='poly', det_db_thresh=0.3, det_db_box_thresh=0.6, det_db_unclip_ratio=1.5, max_batch_size=10, use_dilation=False, det_db_score_mode='fast', det_east_score_thresh=0.8, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_sast_score_thresh=0.5, det_sast_nms_thresh=0.2, det_pse_thresh=0, det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, scales=[8, 16, 32], alpha=1.0, beta=1.0, fourier_degree=5, rec_algorithm='SVTR_LCNet', rec_model_dir='/Users/wangxin/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_infer', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/ppocr/utils/ppocr_keys_v1.txt', use_space_char=True, vis_font_path='./doc/fonts/simfang.ttf', drop_score=0.5, e2e_algorithm='PGNet', e2e_model_dir=None, e2e_limit_side_len=768, e2e_limit_type='max', e2e_pgnet_score_thresh=0.5, e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_pgnet_valid_set='totaltext', e2e_pgnet_mode='fast', use_angle_cls=False, cls_model_dir='/Users/wangxin/.paddleocr/whl/cls/ch_ppocr_mobile_v2.0_cls_infer', cls_image_shape='3, 48, 192', label_list=['0', '180'], cls_batch_num=6, cls_thresh=0.9, enable_mkldnn=False, cpu_threads=10, use_pdserving=False, warmup=False, sr_model_dir=None, sr_image_shape='3, 32, 128', sr_batch_num=1, draw_img_save_dir='./inference_results', save_crop_res=False, crop_res_save_dir='./output', use_mp=False, total_process_num=1, process_id=0, benchmark=False, save_log_path='./log_output/', show_log=True, use_onnx=False, return_word_box=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir=None, merge_no_span_structure=True, table_char_dict_path=None, layout_model_dir=None, layout_dict_path=None, layout_score_threshold=0.5, layout_nms_threshold=0.5, kie_algorithm='LayoutXLM', ser_model_dir=None, re_model_dir=None, use_visual_backbone=True, ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ocr_order_method=None, mode='structure', image_orientation=False, layout=True, table=True, ocr=True, recovery=False, use_pdf2docx_api=False, invert=False, binarize=False, alphacolor=(255, 255, 255), lang='ch', det=True, rec=True, type='ocr', savefile=False, ocr_version='PP-OCRv4', structure_version='PP-StructureV2') [2024/05/15 15:16:13] ppocr INFO: **********doc/imgs/1.jpg********** Traceback (most recent call last): File "/Users/wangxin/miniconda3/envs/ppocr/bin/paddleocr", line 33, in <module> sys.exit(load_entry_point('paddleocr==2.8.0', 'console_scripts', 'paddleocr')()) File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/paddleocr.py", line 880, in main result = engine.ocr( File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/paddleocr.py", line 727, in ocr dt_boxes, rec_res, _ = self.__call__(img, cls) File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_system.py", line 83, in __call__ dt_boxes, elapse = self.text_detector(img) File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_det.py", line 379, in __call__ dt_boxes, elapse = self.predict(img) File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_det.py", line 268, in predict post_result = self.postprocess_op(preds, shape_list) File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/ppocr/postprocess/db_postprocess.py", line 240, in __call__ boxes, scores = self.polygons_from_bitmap( File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/ppocr/postprocess/db_postprocess.py", line 92, in polygons_from_bitmap box = box.reshape(-1, 2) AttributeError: 'list' object has no attribute 'reshape'
Hi @GreatV, I have fixed the code now. Actually there should have been numpy array conversion at line 92. Just in case the image attached in the description doesn't reproduce the error, here is another one. image.zip
paddleocr --image_dir doc/imgs/1.jpg --det_box_type poly
[2024/05/15 15:45:48] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=False, use_xpu=False, use_npu=False, use_mlu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir='doc/imgs/1.jpg', page_num=0, det_algorithm='DB', det_model_dir='/Users/wangxin/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer', det_limit_side_len=960, det_limit_type='max', det_box_type='poly', det_db_thresh=0.3, det_db_box_thresh=0.6, det_db_unclip_ratio=1.5, max_batch_size=10, use_dilation=False, det_db_score_mode='fast', det_east_score_thresh=0.8, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_sast_score_thresh=0.5, det_sast_nms_thresh=0.2, det_pse_thresh=0, det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, scales=[8, 16, 32], alpha=1.0, beta=1.0, fourier_degree=5, rec_algorithm='SVTR_LCNet', rec_model_dir='/Users/wangxin/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_infer', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/ppocr/utils/ppocr_keys_v1.txt', use_space_char=True, vis_font_path='./doc/fonts/simfang.ttf', drop_score=0.5, e2e_algorithm='PGNet', e2e_model_dir=None, e2e_limit_side_len=768, e2e_limit_type='max', e2e_pgnet_score_thresh=0.5, e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_pgnet_valid_set='totaltext', e2e_pgnet_mode='fast', use_angle_cls=False, cls_model_dir='/Users/wangxin/.paddleocr/whl/cls/ch_ppocr_mobile_v2.0_cls_infer', cls_image_shape='3, 48, 192', label_list=['0', '180'], cls_batch_num=6, cls_thresh=0.9, enable_mkldnn=False, cpu_threads=10, use_pdserving=False, warmup=False, sr_model_dir=None, sr_image_shape='3, 32, 128', sr_batch_num=1, draw_img_save_dir='./inference_results', save_crop_res=False, crop_res_save_dir='./output', use_mp=False, total_process_num=1, process_id=0, benchmark=False, save_log_path='./log_output/', show_log=True, use_onnx=False, return_word_box=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir=None, merge_no_span_structure=True, table_char_dict_path=None, layout_model_dir=None, layout_dict_path=None, layout_score_threshold=0.5, layout_nms_threshold=0.5, kie_algorithm='LayoutXLM', ser_model_dir=None, re_model_dir=None, use_visual_backbone=True, ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ocr_order_method=None, mode='structure', image_orientation=False, layout=True, table=True, ocr=True, recovery=False, use_pdf2docx_api=False, invert=False, binarize=False, alphacolor=(255, 255, 255), lang='ch', det=True, rec=True, type='ocr', savefile=False, ocr_version='PP-OCRv4', structure_version='PP-StructureV2')
[2024/05/15 15:45:49] ppocr INFO: **********doc/imgs/1.jpg**********
Traceback (most recent call last):
File "/Users/wangxin/miniconda3/envs/ppocr/bin/paddleocr", line 33, in <module>
sys.exit(load_entry_point('paddleocr==2.8.0', 'console_scripts', 'paddleocr')())
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/paddleocr.py", line 880, in main
result = engine.ocr(
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/paddleocr.py", line 727, in ocr
dt_boxes, rec_res, _ = self.__call__(img, cls)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_system.py", line 83, in __call__
dt_boxes, elapse = self.text_detector(img)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_det.py", line 379, in __call__
dt_boxes, elapse = self.predict(img)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_det.py", line 272, in predict
dt_boxes = self.filter_tag_det_res_only_clip(dt_boxes, ori_im.shape)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_det.py", line 212, in filter_tag_det_res_only_clip
dt_boxes = np.array(dt_boxes_new)
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part.
(ppocr) (ppocr)
paddleocr --image_dir doc/imgs/1.jpg
[2024/05/15 15:45:36] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=False, use_xpu=False, use_npu=False, use_mlu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir='doc/imgs/1.jpg', page_num=0, det_algorithm='DB', det_model_dir='/Users/wangxin/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer', det_limit_side_len=960, det_limit_type='max', det_box_type='quad', det_db_thresh=0.3, det_db_box_thresh=0.6, det_db_unclip_ratio=1.5, max_batch_size=10, use_dilation=False, det_db_score_mode='fast', det_east_score_thresh=0.8, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_sast_score_thresh=0.5, det_sast_nms_thresh=0.2, det_pse_thresh=0, det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, scales=[8, 16, 32], alpha=1.0, beta=1.0, fourier_degree=5, rec_algorithm='SVTR_LCNet', rec_model_dir='/Users/wangxin/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_infer', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/ppocr/utils/ppocr_keys_v1.txt', use_space_char=True, vis_font_path='./doc/fonts/simfang.ttf', drop_score=0.5, e2e_algorithm='PGNet', e2e_model_dir=None, e2e_limit_side_len=768, e2e_limit_type='max', e2e_pgnet_score_thresh=0.5, e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_pgnet_valid_set='totaltext', e2e_pgnet_mode='fast', use_angle_cls=False, cls_model_dir='/Users/wangxin/.paddleocr/whl/cls/ch_ppocr_mobile_v2.0_cls_infer', cls_image_shape='3, 48, 192', label_list=['0', '180'], cls_batch_num=6, cls_thresh=0.9, enable_mkldnn=False, cpu_threads=10, use_pdserving=False, warmup=False, sr_model_dir=None, sr_image_shape='3, 32, 128', sr_batch_num=1, draw_img_save_dir='./inference_results', save_crop_res=False, crop_res_save_dir='./output', use_mp=False, total_process_num=1, process_id=0, benchmark=False, save_log_path='./log_output/', show_log=True, use_onnx=False, return_word_box=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir=None, merge_no_span_structure=True, table_char_dict_path=None, layout_model_dir=None, layout_dict_path=None, layout_score_threshold=0.5, layout_nms_threshold=0.5, kie_algorithm='LayoutXLM', ser_model_dir=None, re_model_dir=None, use_visual_backbone=True, ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ocr_order_method=None, mode='structure', image_orientation=False, layout=True, table=True, ocr=True, recovery=False, use_pdf2docx_api=False, invert=False, binarize=False, alphacolor=(255, 255, 255), lang='ch', det=True, rec=True, type='ocr', savefile=False, ocr_version='PP-OCRv4', structure_version='PP-StructureV2')
[2024/05/15 15:45:37] ppocr INFO: **********doc/imgs/1.jpg**********
Traceback (most recent call last):
File "/Users/wangxin/miniconda3/envs/ppocr/bin/paddleocr", line 33, in <module>
sys.exit(load_entry_point('paddleocr==2.8.0', 'console_scripts', 'paddleocr')())
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/paddleocr.py", line 880, in main
result = engine.ocr(
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/paddleocr.py", line 727, in ocr
dt_boxes, rec_res, _ = self.__call__(img, cls)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_system.py", line 83, in __call__
dt_boxes, elapse = self.text_detector(img)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_det.py", line 379, in __call__
dt_boxes, elapse = self.predict(img)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/tools/infer/predict_det.py", line 268, in predict
post_result = self.postprocess_op(preds, shape_list)
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/ppocr/postprocess/db_postprocess.py", line 246, in __call__
boxes, scores = self.boxes_from_bitmap(
File "/Users/wangxin/miniconda3/envs/ppocr/lib/python3.10/site-packages/paddleocr-2.8.0-py3.10.egg/paddleocr/ppocr/postprocess/db_postprocess.py", line 143, in boxes_from_bitmap
box = self.unclip(points, self.unclip_ratio).reshape(-1, 1, 2)
AttributeError: 'list' object has no attribute 'reshape'
hi @zovelsanj, please ensure it works well for both 'quad' and 'poly'.
Hi @GreatV, thanks. I only checked it for --det_box_type poly. I have now made the corresponding changes for --det_box_type quad as well. Also, I have added polygon padding to address the inhomogeneous part issue for the case of poly. These should fix all the issues you encountered.
@zovelsanj, please install and configure pre-commit to pass the CI checks. I will run some tests to verify if it is working correctly.