根据快速开始手册在windows上使用paddleocr出现段错误

[wzy123456wzy]

paddle版本为cpu-2.2，paddleocr由2.4降低至2.2，都是该问题，gpu版本也出现该问题，gpu为3070，cuda为11.2，cudnn为8.2.1

[andyjiang1116]

麻烦提供一下完整报错

[wzy123456wzy]

麻烦提供一下完整报错

E:\python37\python.exe E:/workspace/software/Ai_tools/autolabel.py E:\python37\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.boolhere. 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:\python37\lib\site-packages\skimage\morphology\_skeletonize.py:256: DeprecationWarning:np.boolis a deprecated alias for the builtinbool. To silence this warning, useboolby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.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) E:\python37\lib\site-packages\skimage\segmentation\random_walker_segmentation.py:49: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if Version(scipy.version) >= Version('1.1'): Namespace(benchmark=False, cls_batch_num=6, cls_image_shape='3, 48, 192', cls_model_dir='C:\Users\yang/.paddleocr/2.2\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=0.5, det_db_score_mode='fast', det_db_thresh=0.3, det_db_unclip_ratio=1.6, 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\yang/.paddleocr/2.2\ocr\det\ch\ch_ppocr_mobile_v2.0_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=None, 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=10, output='./output/table', precision='fp32', process_id=0, rec=True, rec_algorithm='CRNN', rec_batch_num=6, rec_char_dict_path='E:\python37\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\yang/.paddleocr/2.2\ocr\rec\ch\ch_ppocr_mobile_v2.0_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=False, use_mp=False, use_pdserving=False, use_space_char=True, use_tensorrt=False, vis_font_path='./doc/fonts/simfang.ttf', warmup=True) e[1me[35m--- Running analysis [ir_graph_build_pass]e[0m e[1me[35m--- Running analysis [ir_graph_clean_pass]e[0m e[1me[35m--- Running analysis [ir_analysis_pass]e[0m e[32m--- Running IR pass [simplify_with_basic_ops_pass]e[0m e[32m--- Running IR pass [layer_norm_fuse_pass]e[0m e[37m--- Fused 0 subgraphs into layer_norm op.e[0m e[32m--- Running IR pass [attention_lstm_fuse_pass]e[0m e[32m--- Running IR pass [seqconv_eltadd_relu_fuse_pass]e[0m e[32m--- Running IR pass [seqpool_cvm_concat_fuse_pass]e[0m e[32m--- Running IR pass [mul_lstm_fuse_pass]e[0m e[32m--- Running IR pass [fc_gru_fuse_pass]e[0m e[37m--- fused 0 pairs of fc gru patternse[0m e[32m--- Running IR pass [mul_gru_fuse_pass]e[0m e[32m--- Running IR pass [seq_concat_fc_fuse_pass]e[0m e[32m--- Running IR pass [squeeze2_matmul_fuse_pass]e[0m e[32m--- Running IR pass [reshape2_matmul_fuse_pass]e[0m e[32m--- Running IR pass [flatten2_matmul_fuse_pass]e[0m e[32m--- Running IR pass [map_matmul_v2_to_mul_pass]e[0m e[32m--- Running IR pass [map_matmul_v2_to_matmul_pass]e[0m e[32m--- Running IR pass [map_matmul_to_mul_pass]e[0m e[32m--- Running IR pass [fc_fuse_pass]e[0m e[32m--- Running IR pass [repeated_fc_relu_fuse_pass]e[0m e[32m--- Running IR pass [squared_mat_sub_fuse_pass]e[0m e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m I0331 16:45:11.122992 6932 fuse_pass_base.cc:57] --- detected 33 subgraphs e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m e[32m--- Running IR pass [is_test_pass]e[0m e[32m--- Running IR pass [runtime_context_cache_pass]e[0m e[1me[35m--- Running analysis [ir_params_sync_among_devices_pass]e[0m e[1me[35m--- Running analysis [adjust_cudnn_workspace_size_pass]e[0m e[1me[35m--- Running analysis [inference_op_replace_pass]e[0m e[1me[35m--- Running analysis [memory_optimize_pass]e[0m I0331 16:45:11.141995 6932 memory_optimize_pass.cc:216] Cluster name : elementwise_add_2 size: 614400 I0331 16:45:11.141995 6932 memory_optimize_pass.cc:216] Cluster name : nearest_interp_v2_4.tmp_0 size: 2457600 I0331 16:45:11.141995 6932 memory_optimize_pass.cc:216] Cluster name : relu_2.tmp_0 size: 13107200 I0331 16:45:11.141995 6932 memory_optimize_pass.cc:216] Cluster name : batch_norm_4.tmp_2 size: 13107200 I0331 16:45:11.141995 6932 memory_optimize_pass.cc:216] Cluster name : tmp_2 size: 9830400 I0331 16:45:11.141995 6932 memory_optimize_pass.cc:216] Cluster name : batch_norm_33.tmp_2 size: 358400 I0331 16:45:11.141995 6932 memory_optimize_pass.cc:216] Cluster name : x size: 4915200 I0331 16:45:11.141995 6932 memory_optimize_pass.cc:216] Cluster name : tmp_1 size: 2457600 I0331 16:45:11.141995 6932 memory_optimize_pass.cc:216] Cluster name : batch_norm_44.tmp_1 size: 1920 e[1me[35m--- Running analysis [ir_graph_to_program_pass]e[0m I0331 16:45:11.224014 6932 analysis_predictor.cc:714] ======= optimize end ======= I0331 16:45:11.224014 6932 naive_executor.cc:98] --- skip [feed], feed -> x I0331 16:45:11.227015 6932 naive_executor.cc:98] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch e[1me[35m--- Running analysis [ir_graph_build_pass]e[0m e[1me[35m--- Running analysis [ir_graph_clean_pass]e[0m e[1me[35m--- Running analysis [ir_analysis_pass]e[0m e[32m--- Running IR pass [simplify_with_basic_ops_pass]e[0m e[32m--- Running IR pass [layer_norm_fuse_pass]e[0m e[37m--- Fused 0 subgraphs into layer_norm op.e[0m e[32m--- Running IR pass [attention_lstm_fuse_pass]e[0m e[32m--- Running IR pass [seqconv_eltadd_relu_fuse_pass]e[0m e[32m--- Running IR pass [seqpool_cvm_concat_fuse_pass]e[0m e[32m--- Running IR pass [mul_lstm_fuse_pass]e[0m e[32m--- Running IR pass [fc_gru_fuse_pass]e[0m e[37m--- fused 0 pairs of fc gru patternse[0m e[32m--- Running IR pass [mul_gru_fuse_pass]e[0m e[32m--- Running IR pass [seq_concat_fc_fuse_pass]e[0m e[32m--- Running IR pass [squeeze2_matmul_fuse_pass]e[0m e[32m--- Running IR pass [reshape2_matmul_fuse_pass]e[0m e[32m--- Running IR pass [flatten2_matmul_fuse_pass]e[0m e[32m--- Running IR pass [map_matmul_v2_to_mul_pass]e[0m e[32m--- Running IR pass [map_matmul_v2_to_matmul_pass]e[0m e[32m--- Running IR pass [map_matmul_to_mul_pass]e[0m I0331 16:45:11.303033 6932 fuse_pass_base.cc:57] --- detected 1 subgraphs e[32m--- Running IR pass [fc_fuse_pass]e[0m I0331 16:45:11.304033 6932 fuse_pass_base.cc:57] --- detected 1 subgraphs e[32m--- Running IR pass [repeated_fc_relu_fuse_pass]e[0m e[32m--- Running IR pass [squared_mat_sub_fuse_pass]e[0m e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m I0331 16:45:11.324036 6932 fuse_pass_base.cc:57] --- detected 24 subgraphs e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m e[32m--- Running IR pass [is_test_pass]e[0m e[32m--- Running IR pass [runtime_context_cache_pass]e[0m e[1me[35m--- Running analysis [ir_params_sync_among_devices_pass]e[0m e[1me[35m--- Running analysis [adjust_cudnn_workspace_size_pass]e[0m e[1me[35m--- Running analysis [inference_op_replace_pass]e[0m e[1me[35m--- Running analysis [memory_optimize_pass]e[0m I0331 16:45:11.344041 6932 memory_optimize_pass.cc:216] Cluster name : ctc_fc.tmp_1 size: 662500 I0331 16:45:11.344041 6932 memory_optimize_pass.cc:216] Cluster name : softmax_0.tmp_0 size: 662500 I0331 16:45:11.344041 6932 memory_optimize_pass.cc:216] Cluster name : batch_norm_27.tmp_2 size: 19200 I0331 16:45:11.344041 6932 memory_optimize_pass.cc:216] Cluster name : hard_swish_15.tmp_0 size: 115200 I0331 16:45:11.344041 6932 memory_optimize_pass.cc:216] Cluster name : lstm_0.tmp_1 size: 768 I0331 16:45:11.344041 6932 memory_optimize_pass.cc:216] Cluster name : x size: 38400 I0331 16:45:11.344041 6932 memory_optimize_pass.cc:216] Cluster name : lstm_0._generated_var_0 size: 1 I0331 16:45:11.344041 6932 memory_optimize_pass.cc:216] Cluster name : batch_norm_6.tmp_2 size: 25600 I0331 16:45:11.344041 6932 memory_optimize_pass.cc:216] Cluster name : lstm_0.tmp_3 size: 1 e[1me[35m--- Running analysis [ir_graph_to_program_pass]e[0m I0331 16:45:11.425060 6932 analysis_predictor.cc:714] ======= optimize end ======= I0331 16:45:11.425060 6932 naive_executor.cc:98] --- skip [feed], feed -> x I0331 16:45:11.429059 6932 naive_executor.cc:98] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch e[1me[35m--- Running analysis [ir_graph_build_pass]e[0m e[1me[35m--- Running analysis [ir_graph_clean_pass]e[0m e[1me[35m--- Running analysis [ir_analysis_pass]e[0m e[32m--- Running IR pass [simplify_with_basic_ops_pass]e[0m e[32m--- Running IR pass [layer_norm_fuse_pass]e[0m e[37m--- Fused 0 subgraphs into layer_norm op.e[0m e[32m--- Running IR pass [attention_lstm_fuse_pass]e[0m e[32m--- Running IR pass [seqconv_eltadd_relu_fuse_pass]e[0m e[32m--- Running IR pass [seqpool_cvm_concat_fuse_pass]e[0m e[32m--- Running IR pass [mul_lstm_fuse_pass]e[0m e[32m--- Running IR pass [fc_gru_fuse_pass]e[0m e[37m--- fused 0 pairs of fc gru patternse[0m e[32m--- Running IR pass [mul_gru_fuse_pass]e[0m e[32m--- Running IR pass [seq_concat_fc_fuse_pass]e[0m e[32m--- Running IR pass [squeeze2_matmul_fuse_pass]e[0m e[32m--- Running IR pass [reshape2_matmul_fuse_pass]e[0m e[32m--- Running IR pass [flatten2_matmul_fuse_pass]e[0m e[32m--- Running IR pass [map_matmul_v2_to_mul_pass]e[0m e[32m--- Running IR pass [map_matmul_v2_to_matmul_pass]e[0m e[32m--- Running IR pass [map_matmul_to_mul_pass]e[0m I0331 16:45:11.489073 6932 fuse_pass_base.cc:57] --- detected 1 subgraphs e[32m--- Running IR pass [fc_fuse_pass]e[0m I0331 16:45:11.490073 6932 fuse_pass_base.cc:57] --- detected 1 subgraphs e[32m--- Running IR pass [repeated_fc_relu_fuse_pass]e[0m e[32m--- Running IR pass [squared_mat_sub_fuse_pass]e[0m e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m I0331 16:45:11.510078 6932 fuse_pass_base.cc:57] --- detected 24 subgraphs e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m e[32m--- Running IR pass [is_test_pass]e[0m e[32m--- Running IR pass [runtime_context_cache_pass]e[0m e[1me[35m--- Running analysis [ir_params_sync_among_devices_pass]e[0m e[1me[35m--- Running analysis [adjust_cudnn_workspace_size_pass]e[0m e[1me[35m--- Running analysis [inference_op_replace_pass]e[0m e[1me[35m--- Running analysis [memory_optimize_pass]e[0m I0331 16:45:11.529083 6932 memory_optimize_pass.cc:216] Cluster name : conv2d_82.tmp_0 size: 41600 I0331 16:45:11.529083 6932 memory_optimize_pass.cc:216] Cluster name : batch_norm_25.tmp_2 size: 41600 I0331 16:45:11.529083 6932 memory_optimize_pass.cc:216] Cluster name : elementwise_add_1 size: 6400 I0331 16:45:11.529083 6932 memory_optimize_pass.cc:216] Cluster name : x size: 38400 I0331 16:45:11.529083 6932 memory_optimize_pass.cc:216] Cluster name : batch_norm_28.tmp_2 size: 40000 I0331 16:45:11.529083 6932 memory_optimize_pass.cc:216] Cluster name : batch_norm_12.tmp_2 size: 6400 e[1me[35m--- Running analysis [ir_graph_to_program_pass]e[0m I0331 16:45:11.616102 6932 analysis_predictor.cc:714] ======= optimize end ======= I0331 16:45:11.616102 6932 naive_executor.cc:98] --- skip [feed], feed -> x I0331 16:45:11.619102 6932 naive_executor.cc:98] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch

Process finished with exit code -1073741819 (0xC0000005)

这个pycharm运行时所有的stdout

[andyjiang1116]

不用pycharm，在cmd模式下使用会报错吗？

[wzy123456wzy]

不用pycharm，在cmd模式下使用会报错吗？

一样的，不用pycharm的话，用cmd 不会出现Process finished with exit code -1073741819 (0xC0000005)，然后就结束了

[andyjiang1116]

那可能是你本地环境有点问题，重新装一个虚拟环境吧

[wzy123456wzy]

那可能是你本地环境有点问题，重新装一个虚拟环境吧 解决了，环境问题