OMP: Error #15: Initializing libiomp5md.dll,,OMP: Hint This means that multiple copies of the OpenMP

[monkeycc]

python  tools/infer/predict_det.py --image_dir="F:\PaddleOCR\doc\imgs\11.jpg" --det_model_dir="F:\PaddleOCR\det_infer\ch_ppocr_server_v2.0_det_infer"

E:\anaconda3\envs\paddleOCR\lib\site-packages\skimage\morphology\_skeletonize.py:241: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  0, 1, 1, 0, 0, 1, 0, 0, 0], dtype=np.bool)
E:\anaconda3\envs\paddleOCR\lib\site-packages\skimage\morphology\_skeletonize.py:256: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=np.bool)
'env' 不是内部或外部命令，也不是可运行的程序
或批处理文件。
W0913 22:31:03.370272  3372 analysis_predictor.cc:715] The one-time configuration of analysis predictor failed, which may be due to native predictor called first and its configurations taken effect.
OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/support/.

 paddleocr --image_dir ./imgs/11.jpg --use_angle_cls true

e:\anaconda3\envs\paddleocr\lib\site-packages\skimage\morphology\_skeletonize.py:241: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  0, 1, 1, 0, 0, 1, 0, 0, 0], dtype=np.bool)
e:\anaconda3\envs\paddleocr\lib\site-packages\skimage\morphology\_skeletonize.py:256: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=np.bool)
[2021/09/14 10:29:11] root WARNING: version PP-OCRv2 not support cls models, use version PP-OCR instead
Namespace(benchmark=False, cls_batch_num=6, cls_image_shape='3, 48, 192', cls_model_dir='C:\\Users\\mm/.paddleocr/2.3.0.1\\ocr\\cls\\ch_ppocr_mobile_v2.0_cls_infer', cls_thresh=0.9, cpu_threads=10, det=True, det_algorithm='DB', det_db_box_thresh=0.6, det_db_score_mode='fast', det_db_thresh=0.3, det_db_unclip_ratio=1.5, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_east_score_thresh=0.8, det_limit_side_len=960, det_limit_type='max', det_model_dir='C:\\Users\\mm/.paddleocr/2.3.0.1\\ocr\\det\\ch\\ch_PP-OCRv2_det_infer', det_sast_nms_thresh=0.2, det_sast_polygon=False, det_sast_score_thresh=0.5, drop_score=0.5, e2e_algorithm='PGNet', e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_limit_side_len=768, e2e_limit_type='max', e2e_model_dir=None, e2e_pgnet_mode='fast', e2e_pgnet_polygon=True, e2e_pgnet_score_thresh=0.5, e2e_pgnet_valid_set='totaltext', enable_mkldnn=False, gpu_mem=500, help='==SUPPRESS==', image_dir='./imgs/11.jpg', ir_optim=True, label_list=['0', '180'], lang='ch', layout_path_model='lp://PubLayNet/ppyolov2_r50vd_dcn_365e_publaynet/config', max_batch_size=10, max_text_length=25, min_subgraph_size=15, output='./output/table', precision='fp32', process_id=0, rec=True, rec_algorithm='CRNN', rec_batch_num=6, rec_char_dict_path='e:\\anaconda3\\envs\\paddleocr\\lib\\site-packages\\paddleocr\\ppocr\\utils\\ppocr_keys_v1.txt', rec_char_type='ch', rec_image_shape='3, 32, 320', rec_model_dir='C:\\Users\\mm/.paddleocr/2.3.0.1\\ocr\\rec\\ch\\ch_PP-OCRv2_rec_infer', save_log_path='./log_output/', show_log=True, table_char_dict_path=None, table_char_type='en', table_max_len=488, table_model_dir=None, total_process_num=1, type='ocr', use_angle_cls=True, use_dilation=False, use_gpu=True, use_mp=False, use_pdserving=False, use_space_char=True, use_tensorrt=False, version='PP-OCRv2', vis_font_path='./doc/fonts/simfang.ttf', warmup=True)
'env' 不是内部或外部命令，也不是可运行的程序
或批处理文件。
W0914 10:29:12.942953  4956 analysis_predictor.cc:715] The one-time configuration of analysis predictor failed, which may be due to native predictor called first and its configurations taken effect.
OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/support/.

[monkeycc]

解决方案：

"..\tools\infer\predict_det.py" 增加 os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"

[github-actions[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions.

[eric781ctf]

解决方案：

"..\tools\infer\predict_det.py" 增加 os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"

我想問一下，我照著你的方式修改後的確沒有 error，但 IDE 沒有報錯就直接崩潰

[monkeycc]

import os
os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"

主程序可以增加 @eric781ctf

[github-actions[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions.