pantsudango/dango-translator

团子翻译器 —— 个人兴趣制作的一款基于OCR技术的翻译器

我是胖次团子~👋

这里都是我个人空闲研修的项目
如果能帮上你
我会很欣慰 ~
欢迎交流 ~
QQ:394883561

dango-translator's Issues

建议加入DeepL翻译接口

DeepL是一个比较新锐的翻译公司，准确度比较高，而且比起其他翻译软件说的更像是人话
www.deepl.com/translator

翻译快捷键失灵

点了启动翻译快捷键之后
一开始是可以正常使用的
几分钟之后就怎么按都没有反应
手动点按钮是可以用的

[BUG] 更改 Windows 缩放时文字显示 bug

系统：Windows 10 20H2
软件版本：3.6.1
问题描述：设置-系统-显示-缩放与布局-更改文本、应用等项目的大小 超过 100% 时，登录界面文字将显示不全
截图：

建议添加LICENSE

RT

运行报错

D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2>"./Python/python.exe" -c "import sys;sys.path.append('./Python');sys.path.append('./Python/Lib');sys.path.append('./Python/Lib/site-packages');sys.path.append('./Python/Scripts');import qpt.run as run"
2021-09-30 00:20:13,465 INFO: UA请求完毕
初始化进度 1/7 |██ | 14.29% AutoPythonEnv部署中...2021-09-30 00:20:13,6初始化进度 2/7 |█████ | 28.57% QPTDependencyPackage部署中...2021-09-30 00:初始化进度 3/7 |████████ | 42.86% PaddlePaddlePackage部署中...2021-09-30 00:2初始化进度 4/7 |███████████ | 57.14% AutoRequirementsPackage部署中...2021-09-30 初始化进度 5/7 |██████████████ | 71.43% BatchInstallation部署中...2021-09-30 00:20:初始化进度 6/7 |█████████████████ | 85.71% PaddlePaddleCheckAVX部署中...2021-09-30 00:初始化进度 7/7 |████████████████████| 100.00% 初始化完毕2021-09-30 00:20:13,639 INFO:
Namespace(benchmark=False, cls_batch_num=6, cls_image_shape='3, 48, 192', cls_model_dir='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources/.paddleocr/2.2.0.2\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=0.6, 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='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources/.paddleocr/2.2.0.2\ocr\det\en\en_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=True, gpu_mem=500, help='==SUPPRESS==', image_dir=None, ir_optim=True, label_list=['0', '180'], lang='japan', 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='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources\paddleocr\ppocr\utils\dict\japan_dict.txt', rec_char_type='ch', rec_image_shape='3, 32, 320', rec_model_dir='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources/.paddleocr/2.2.0.2\ocr\rec\japan\japan_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=False, 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)
I0930 00:20:19.021212 6580 analysis_predictor.cc:591] MKLDNN is enabled
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 [mkldnn_placement_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[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_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
I0930 00:20:19.271368 6580 graph_pattern_detector.cc:91] --- 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[32m--- Running IR pass [depthwise_conv_mkldnn_pass]e[0m
I0930 00:20:19.295755 6580 graph_pattern_detector.cc:91] --- detected 15 subgraphs
e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m
I0930 00:20:19.315778 6580 graph_pattern_detector.cc:91] --- detected 15 subgraphs
e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_eltwiseadd_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bias_mkldnn_fuse_pass]e[0m
I0930 00:20:19.359503 6580 graph_pattern_detector.cc:91] --- detected 2 subgraphs
e[32m--- Running IR pass [conv3d_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_elementwise_add_mkldnn_fuse_pass]e[0m
I0930 00:20:19.453857 6580 graph_pattern_detector.cc:91] --- detected 3 subgraphs
I0930 00:20:19.466580 6580 graph_pattern_detector.cc:91] --- detected 10 subgraphs
I0930 00:20:19.470261 6580 conv_elementwise_add_mkldnn_fuse_pass.cc:338] Fused graph 10
e[32m--- Running IR pass [conv_concat_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu_mkldnn_fuse_pass]e[0m
I0930 00:20:19.485616 6580 graph_pattern_detector.cc:91] --- detected 13 subgraphs
e[32m--- Running IR pass [conv_leaky_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu6_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_swish_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_hard_swish_mkldnn_fuse_pass]e[0m
I0930 00:20:19.516125 6580 graph_pattern_detector.cc:91] --- detected 20 subgraphs
e[32m--- Running IR pass [scale_matmul_fuse_pass]e[0m
e[37m--- fused 0 scale with matmule[0m
e[32m--- Running IR pass [reshape_transpose_matmul_mkldnn_fuse_pass]e[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patternse[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with transpose's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshape with transpose's xshapee[0m
e[32m--- Running IR pass [matmul_transpose_reshape_fuse_pass]e[0m
e[37m--- Fused 0 MatmulTransposeReshape patternse[0m
e[32m--- Running IR pass [batch_norm_act_fuse_pass]e[0m
I0930 00:20:19.529610 6580 graph_pattern_detector.cc:91] --- detected 1 subgraphs
e[37m--- fused 1 batch norm with relu activatione[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 [ir_graph_to_program_pass]e[0m
I0930 00:20:19.611279 6580 analysis_predictor.cc:636] ======= optimize end =======
I0930 00:20:19.611768 6580 naive_executor.cc:98] --- skip [feed], feed -> x
I0930 00:20:19.615787 6580 naive_executor.cc:98] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch
I0930 00:20:19.655107 6580 analysis_predictor.cc:591] MKLDNN is enabled
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 [mkldnn_placement_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[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_to_mul_pass]e[0m
I0930 00:20:19.770995 6580 graph_pattern_detector.cc:91] --- detected 1 subgraphs
e[32m--- Running IR pass [fc_fuse_pass]e[0m
I0930 00:20:19.775357 6580 graph_pattern_detector.cc:91] --- 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
I0930 00:20:19.844707 6580 graph_pattern_detector.cc:91] --- 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[32m--- Running IR pass [depthwise_conv_mkldnn_pass]e[0m
I0930 00:20:19.875914 6580 graph_pattern_detector.cc:91] --- detected 11 subgraphs
e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m
I0930 00:20:19.895388 6580 graph_pattern_detector.cc:91] --- detected 11 subgraphs
e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_eltwiseadd_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_bias_mkldnn_fuse_pass]e[0m
I0930 00:20:19.951447 6580 graph_pattern_detector.cc:91] --- detected 18 subgraphs
e[32m--- Running IR pass [conv_transpose_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv3d_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_elementwise_add_mkldnn_fuse_pass]e[0m
I0930 00:20:20.016335 6580 graph_pattern_detector.cc:91] --- detected 7 subgraphs
I0930 00:20:20.017906 6580 conv_elementwise_add_mkldnn_fuse_pass.cc:338] Fused graph 7
e[32m--- Running IR pass [conv_concat_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu_mkldnn_fuse_pass]e[0m
I0930 00:20:20.045003 6580 graph_pattern_detector.cc:91] --- detected 15 subgraphs
e[32m--- Running IR pass [conv_leaky_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu6_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_swish_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_hard_swish_mkldnn_fuse_pass]e[0m
I0930 00:20:20.094599 6580 graph_pattern_detector.cc:91] --- detected 18 subgraphs
e[32m--- Running IR pass [scale_matmul_fuse_pass]e[0m
e[37m--- fused 0 scale with matmule[0m
e[32m--- Running IR pass [reshape_transpose_matmul_mkldnn_fuse_pass]e[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patternse[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with transpose's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshape with transpose's xshapee[0m
e[32m--- Running IR pass [matmul_transpose_reshape_fuse_pass]e[0m
e[37m--- Fused 0 MatmulTransposeReshape patternse[0m
e[32m--- Running IR pass [batch_norm_act_fuse_pass]e[0m
e[37m--- fused 0 batch norm with relu activatione[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 [ir_graph_to_program_pass]e[0m
I0930 00:20:20.198025 6580 analysis_predictor.cc:636] ======= optimize end =======
I0930 00:20:20.199998 6580 naive_executor.cc:98] --- skip [feed], feed -> x
I0930 00:20:20.203019 6580 naive_executor.cc:98] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch
Namespace(benchmark=False, cls_batch_num=6, cls_image_shape='3, 48, 192', cls_model_dir='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources/.paddleocr/2.2.0.2\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=0.6, 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='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources/.paddleocr/2.2.0.2\ocr\det\en\en_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=True, gpu_mem=500, help='==SUPPRESS==', image_dir=None, ir_optim=True, label_list=['0', '180'], lang='en', 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='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources\paddleocr\ppocr\utils\en_dict.txt', rec_char_type='ch', rec_image_shape='3, 32, 320', rec_model_dir='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources/.paddleocr/2.2.0.2\ocr\rec\en\en_number_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=False, 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)
I0930 00:20:20.244624 6580 analysis_predictor.cc:591] MKLDNN is enabled
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 [mkldnn_placement_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[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_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
I0930 00:20:20.475973 6580 graph_pattern_detector.cc:91] --- 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[32m--- Running IR pass [depthwise_conv_mkldnn_pass]e[0m
I0930 00:20:20.492404 6580 graph_pattern_detector.cc:91] --- detected 15 subgraphs
e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m
I0930 00:20:20.507896 6580 graph_pattern_detector.cc:91] --- detected 15 subgraphs
e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_eltwiseadd_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bias_mkldnn_fuse_pass]e[0m
I0930 00:20:20.563977 6580 graph_pattern_detector.cc:91] --- detected 2 subgraphs
e[32m--- Running IR pass [conv3d_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_elementwise_add_mkldnn_fuse_pass]e[0m
I0930 00:20:20.660390 6580 graph_pattern_detector.cc:91] --- detected 3 subgraphs
I0930 00:20:20.667315 6580 graph_pattern_detector.cc:91] --- detected 10 subgraphs
I0930 00:20:20.673260 6580 conv_elementwise_add_mkldnn_fuse_pass.cc:338] Fused graph 10
e[32m--- Running IR pass [conv_concat_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu_mkldnn_fuse_pass]e[0m
I0930 00:20:20.685303 6580 graph_pattern_detector.cc:91] --- detected 13 subgraphs
e[32m--- Running IR pass [conv_leaky_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu6_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_swish_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_hard_swish_mkldnn_fuse_pass]e[0m
I0930 00:20:20.718637 6580 graph_pattern_detector.cc:91] --- detected 20 subgraphs
e[32m--- Running IR pass [scale_matmul_fuse_pass]e[0m
e[37m--- fused 0 scale with matmule[0m
e[32m--- Running IR pass [reshape_transpose_matmul_mkldnn_fuse_pass]e[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patternse[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with transpose's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshape with transpose's xshapee[0m
e[32m--- Running IR pass [matmul_transpose_reshape_fuse_pass]e[0m
e[37m--- Fused 0 MatmulTransposeReshape patternse[0m
e[32m--- Running IR pass [batch_norm_act_fuse_pass]e[0m
I0930 00:20:20.730284 6580 graph_pattern_detector.cc:91] --- detected 1 subgraphs
e[37m--- fused 1 batch norm with relu activatione[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 [ir_graph_to_program_pass]e[0m
I0930 00:20:20.787017 6580 analysis_predictor.cc:636] ======= optimize end =======
I0930 00:20:20.791218 6580 naive_executor.cc:98] --- skip [feed], feed -> x
I0930 00:20:20.795305 6580 naive_executor.cc:98] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch
I0930 00:20:20.815609 6580 analysis_predictor.cc:591] MKLDNN is enabled
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 [mkldnn_placement_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[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_to_mul_pass]e[0m
I0930 00:20:20.917024 6580 graph_pattern_detector.cc:91] --- detected 1 subgraphs
e[32m--- Running IR pass [fc_fuse_pass]e[0m
I0930 00:20:20.922062 6580 graph_pattern_detector.cc:91] --- 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
I0930 00:20:20.989470 6580 graph_pattern_detector.cc:91] --- 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[32m--- Running IR pass [depthwise_conv_mkldnn_pass]e[0m
I0930 00:20:21.009945 6580 graph_pattern_detector.cc:91] --- detected 11 subgraphs
e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m
I0930 00:20:21.026655 6580 graph_pattern_detector.cc:91] --- detected 11 subgraphs
e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_eltwiseadd_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_bias_mkldnn_fuse_pass]e[0m
I0930 00:20:21.091168 6580 graph_pattern_detector.cc:91] --- detected 18 subgraphs
e[32m--- Running IR pass [conv_transpose_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv3d_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_elementwise_add_mkldnn_fuse_pass]e[0m
I0930 00:20:21.158785 6580 graph_pattern_detector.cc:91] --- detected 7 subgraphs
I0930 00:20:21.163704 6580 conv_elementwise_add_mkldnn_fuse_pass.cc:338] Fused graph 7
e[32m--- Running IR pass [conv_concat_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu_mkldnn_fuse_pass]e[0m
I0930 00:20:21.181174 6580 graph_pattern_detector.cc:91] --- detected 15 subgraphs
e[32m--- Running IR pass [conv_leaky_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu6_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_swish_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_hard_swish_mkldnn_fuse_pass]e[0m
I0930 00:20:21.226567 6580 graph_pattern_detector.cc:91] --- detected 18 subgraphs
e[32m--- Running IR pass [scale_matmul_fuse_pass]e[0m
e[37m--- fused 0 scale with matmule[0m
e[32m--- Running IR pass [reshape_transpose_matmul_mkldnn_fuse_pass]e[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patternse[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with transpose's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshape with transpose's xshapee[0m
e[32m--- Running IR pass [matmul_transpose_reshape_fuse_pass]e[0m
e[37m--- Fused 0 MatmulTransposeReshape patternse[0m
e[32m--- Running IR pass [batch_norm_act_fuse_pass]e[0m
e[37m--- fused 0 batch norm with relu activatione[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 [ir_graph_to_program_pass]e[0m
I0930 00:20:21.349779 6580 analysis_predictor.cc:636] ======= optimize end =======
I0930 00:20:21.349779 6580 naive_executor.cc:98] --- skip [feed], feed -> x
I0930 00:20:21.356477 6580 naive_executor.cc:98] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch
Namespace(benchmark=False, cls_batch_num=6, cls_image_shape='3, 48, 192', cls_model_dir='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources/.paddleocr/2.2.0.2\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=0.6, 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='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources/.paddleocr/2.2.0.2\ocr\det\en\en_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=True, gpu_mem=500, help='==SUPPRESS==', image_dir=None, ir_optim=True, label_list=['0', '180'], lang='korean', 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='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources\paddleocr\ppocr\utils\dict\korean_dict.txt', rec_char_type='ch', rec_image_shape='3, 32, 320', rec_model_dir='D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources/.paddleocr/2.2.0.2\ocr\rec\korean\korean_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=False, 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)
I0930 00:20:21.416957 6580 analysis_predictor.cc:591] MKLDNN is enabled
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 [mkldnn_placement_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[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_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
I0930 00:20:21.693410 6580 graph_pattern_detector.cc:91] --- 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[32m--- Running IR pass [depthwise_conv_mkldnn_pass]e[0m
I0930 00:20:21.711603 6580 graph_pattern_detector.cc:91] --- detected 15 subgraphs
e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m
I0930 00:20:21.729997 6580 graph_pattern_detector.cc:91] --- detected 15 subgraphs
e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_eltwiseadd_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bias_mkldnn_fuse_pass]e[0m
I0930 00:20:21.789422 6580 graph_pattern_detector.cc:91] --- detected 2 subgraphs
e[32m--- Running IR pass [conv3d_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_elementwise_add_mkldnn_fuse_pass]e[0m
I0930 00:20:21.915688 6580 graph_pattern_detector.cc:91] --- detected 3 subgraphs
I0930 00:20:21.933897 6580 graph_pattern_detector.cc:91] --- detected 10 subgraphs
I0930 00:20:21.936792 6580 conv_elementwise_add_mkldnn_fuse_pass.cc:338] Fused graph 10
e[32m--- Running IR pass [conv_concat_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu_mkldnn_fuse_pass]e[0m
I0930 00:20:21.961138 6580 graph_pattern_detector.cc:91] --- detected 13 subgraphs
e[32m--- Running IR pass [conv_leaky_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu6_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_swish_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_hard_swish_mkldnn_fuse_pass]e[0m
I0930 00:20:22.013293 6580 graph_pattern_detector.cc:91] --- detected 20 subgraphs
e[32m--- Running IR pass [scale_matmul_fuse_pass]e[0m
e[37m--- fused 0 scale with matmule[0m
e[32m--- Running IR pass [reshape_transpose_matmul_mkldnn_fuse_pass]e[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patternse[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with transpose's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshape with transpose's xshapee[0m
e[32m--- Running IR pass [matmul_transpose_reshape_fuse_pass]e[0m
e[37m--- Fused 0 MatmulTransposeReshape patternse[0m
e[32m--- Running IR pass [batch_norm_act_fuse_pass]e[0m
I0930 00:20:22.037122 6580 graph_pattern_detector.cc:91] --- detected 1 subgraphs
e[37m--- fused 1 batch norm with relu activatione[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 [ir_graph_to_program_pass]e[0m
I0930 00:20:22.130836 6580 analysis_predictor.cc:636] ======= optimize end =======
I0930 00:20:22.130836 6580 naive_executor.cc:98] --- skip [feed], feed -> x
I0930 00:20:22.137099 6580 naive_executor.cc:98] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch
I0930 00:20:22.180564 6580 analysis_predictor.cc:591] MKLDNN is enabled
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 [mkldnn_placement_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[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_to_mul_pass]e[0m
I0930 00:20:22.360167 6580 graph_pattern_detector.cc:91] --- detected 1 subgraphs
e[32m--- Running IR pass [fc_fuse_pass]e[0m
I0930 00:20:22.367039 6580 graph_pattern_detector.cc:91] --- 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
I0930 00:20:22.467875 6580 graph_pattern_detector.cc:91] --- 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[32m--- Running IR pass [depthwise_conv_mkldnn_pass]e[0m
I0930 00:20:22.508606 6580 graph_pattern_detector.cc:91] --- detected 11 subgraphs
e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m
I0930 00:20:22.525470 6580 graph_pattern_detector.cc:91] --- detected 11 subgraphs
e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_eltwiseadd_affine_channel_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_bias_mkldnn_fuse_pass]e[0m
I0930 00:20:22.585490 6580 graph_pattern_detector.cc:91] --- detected 18 subgraphs
e[32m--- Running IR pass [conv_transpose_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv3d_bias_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_elementwise_add_mkldnn_fuse_pass]e[0m
I0930 00:20:22.653612 6580 graph_pattern_detector.cc:91] --- detected 7 subgraphs
I0930 00:20:22.658609 6580 conv_elementwise_add_mkldnn_fuse_pass.cc:338] Fused graph 7
e[32m--- Running IR pass [conv_concat_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu_mkldnn_fuse_pass]e[0m
I0930 00:20:22.675812 6580 graph_pattern_detector.cc:91] --- detected 15 subgraphs
e[32m--- Running IR pass [conv_leaky_relu_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_relu6_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_swish_mkldnn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_hard_swish_mkldnn_fuse_pass]e[0m
I0930 00:20:22.722471 6580 graph_pattern_detector.cc:91] --- detected 18 subgraphs
e[32m--- Running IR pass [scale_matmul_fuse_pass]e[0m
e[37m--- fused 0 scale with matmule[0m
e[32m--- Running IR pass [reshape_transpose_matmul_mkldnn_fuse_pass]e[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patternse[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with transpose's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshapee[0m
e[37m--- Fused 0 ReshapeTransposeMatmulMkldnn patterns with reshape's xshape with transpose's xshapee[0m
e[32m--- Running IR pass [matmul_transpose_reshape_fuse_pass]e[0m
e[37m--- Fused 0 MatmulTransposeReshape patternse[0m
e[32m--- Running IR pass [batch_norm_act_fuse_pass]e[0m
e[37m--- fused 0 batch norm with relu activatione[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 [ir_graph_to_program_pass]e[0m
I0930 00:20:22.876013 6580 analysis_predictor.cc:636] ======= optimize end =======
I0930 00:20:22.876013 6580 naive_executor.cc:98] --- skip [feed], feed -> x
I0930 00:20:22.885435 6580 naive_executor.cc:98] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch

• Serving Flask app 'app' (lazy loading)
• Environment: production
  �[31m WARNING: This is a development server. Do not use it in a production deployment.�[0m
  �[2m Use a production WSGI server instead.�[0m
• Debug mode: off
  Traceback (most recent call last):
  File "", line 1, in
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\run.py", line 13, in
  module.run()
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\executor.py", line 511, in run
  lib = importlib.import_module(main_lib_path)
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\importlib_init_.py", line 127, in import_module
  return _bootstrap._gcd_import(name[level:], package, level)
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\resources\app.py", line 128, in
  app.run(debug=False, host="0.0.0.0", port=6666, threaded=False)
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\flask\app.py", line 922, in run
  run_simple(t.cast(str, host), port, self, **options)
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\werkzeug\serving.py", line 1008, in run_simple
  inner()
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\werkzeug\serving.py", line 948, in inner
  srv = make_server(
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\werkzeug\serving.py", line 795, in make_server
  return BaseWSGIServer(
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\werkzeug\serving.py", line 686, in init
  super().init(server_address, handler) # type: ignore
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\socketserver.py", line 452, in init
  self.server_bind()
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\http\server.py", line 138, in server_bind
  socketserver.TCPServer.server_bind(self)
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\socketserver.py", line 466, in server_bind
  self.socket.bind(self.server_address)
  OSError: [WinError 10013] 以一种访问权限不允许的方式做了一个访问套接字的尝试。

D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2>pause
请按任意键继续. . .

本地OCR相关：会将“....”识别成“oooo”

如题

问一问有没有外文版

有国外玩家问有没有屏幕翻译器，我想推荐这个貌似不行😂

识别ocr后，可否屏蔽显示，并用双字幕替换，类似打个马赛克？

问题反馈

使用离线ocr时点击翻译器文本显示页面有几率让ocr无法工作，需要重启ocr
退出ocr时程序未响应，可以多点几次来结束进程
离线ocr识别有时候会漏掉部分内容（游戏文本框不透明），角色名字会被合到对话文本里面导致翻译结果比较奇怪，框选识别区域时不框选名字就不会了

成「下そ、そつち？」 会被识别成 成下そ、そつち？

可以提个小建议嘛~

100%占用风扇太吵了。。。哭哭。。。

你好，请上下BOSS直聘，希望跟你聊聊

你好，请上下BOSS直聘，希望跟你聊聊

建议翻译窗口加入文字自动换行功能

RT，在调整了翻译窗口大小后，遇到翻译文本量较多时文字会显示不完整跑出了窗口界面，这时要把窗口拉得很长才能看到完整文字，重启翻译器后不调整窗口大小则没问题，建议加入文字自动换行功能，在调整了翻译窗口大小的情况下能生效

Linux Ubuntu无法使用

我按照requirements.txt安装了依赖，可是还是不能跑。执行“python main.py” 报错结果如下：
Traceback (most recent call last): File "main.py", line 9, in <module> from Init import MainInterface File "/home/lee/Dango-Translator/Init.py", line 10, in <module> from Translate import translate ModuleNotFoundError: No module named 'Translate'
请问我该如何解决？ 多谢。

作者 你软件“出名了”

bing搜索一下团子翻译器 排行第一的链接是华君软件园，到处都是盗版

请求加入选择框切换功能，可以在保存的多个选择框直接切换.

离线OCR的准率让人惊喜.只要不是太特殊的字体都可以正常识别.作者大大🐮🍺。
但目前使用下来碰到了一个非常影响使用的问题.导致无法正常使用。
因为文本位置不是固定的，
比如敌人对话文本在左上角.主角对话文本在屏幕正下方，游戏系统文本在中间.
所游戏中要经常调整拾取框位置（全选的话识别准确率惨不忍睹）。
每次位置变动都需要alt+tsp或者win切出来（那种锁定鼠标的游戏会导致无法框选位置，鼠标固定在中间），然后f2框选f1开启翻译。之前一直也就这么对付用了，热键切几次窗口失效了那鼠标点菜单也不是不能用。
但是之后发现，部分游戏频繁切换窗口会有概率卡死.导致无法正常游戏.这下彻底用不了了

求大佬更新个可以在多个预设位置切换拾取框的功能。🧎‍♀️求

是否在增加其翻譯API

預設必須填入OCR 欄位是百度的樣子，是否可以增加其他的??
https://www.zhihu.com/question/22417946
像是以上的一些舉例

关于本地OCR问题，可以尝试使用TesseractOCR

之前我也做了一个翻译器，用了tesseractOCR，它的速度和准确率都挺高，但是要求背景和文字颜色区别较大，你可以尝试在它的基础上做一些前处理，比起自己从零做起应该好不少。我的项目https://github.com/ColorfulHorse/Ruminer

请问site-packages\qpt这个包是由您维护的么？

我本地的terminal是utf-8的codepage，我直接运行OCR会导致下面的报错

raceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\run.py", line 12, in <module>
    module = RunExecutableM
# ....
  File "D:\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\kernel\tools\terminal.py", line 67, in handle
    msg = line.decode('gbk').strip("b'").strip("\n").strip(SHELL_ACT)
UnicodeDecodeError: 'gbk' codec can't decode byte 0x80 in position 47: illegal multibyte sequence

我手动把site-packages\qpt\kernel\tools\terminal.py这个文件里所有的gbk替换成utf8了就可以启动，确实国内很少有人会换code page。

我不知道这个包是由您维护的么？如果是的话，换成sys.stdout.encoding会不会更好一些？

建议增加腾讯ai开发平台的图片翻译api

这个api支持直接将图片的外文进行翻译
也没每月额度限制，只有每秒请求次数限制。
用这个api就不用既要注册ocr又要注册翻译的api
翻译效果也就一般，但用起来方便
（我自己也写了个相似的软件自用，用的api就是用这个）
就是接口时不时抽风╮(╯-╰)╭，但当个备选api挺好的
（年初的时候抽风了将近3个月）

玩游戏时，翻译器不置顶咋办，总被游戏窗口覆盖

自动模式能调节ocr频率吗

现在是直接拉满，有点吃不消啊。

离线OCR识别英文识别度问题

软件没用多久，感觉挺好的，就是离线OCR识别英文感人。百度OCR因为是最近注册所以限额太大不想用。希望之后能改进离线OCR识别能力吧。辛苦作者了。

多屏情况下只有主屏能选定区域

把翻译窗口移动到别的屏幕区域，翻译选定区域也不随着窗口所在屏幕而变更，始终只能在主屏选择。
希望增加这项功能，感谢！

软件报毒

请问适配了mac吗还是要自己编译呀？

因为我不太会然后也没找到.dmg文件…
抱歉打扰啦

缺少字符\uo131

翻译的时候发现提示错误gbk缺少\uo131

臃肿的不行

绑定邮箱发送验证码后卡死闪退

绑定邮箱发送验证码后卡死闪

希望解决windows defender 提示木马问题

启动DangoOCR失败

启动离线ocr失败

手动翻译的快捷键会失效

有的时候手动翻译的快捷键会失效，怎么按都不起作用，要手动点那个小三角。
可是这个键会自动隐藏，而且也太小了。
最好翻译成功的时候能给个反馈。

可以问一下旁边的团子有什么用么？点他好像只会说话。
如果旁边的团子可以点，点了可以触发翻译就好了。

请问这个gituhub代码运行时出现ModuleNotFoundError: No module named 'Translate'怎么解决呢

UnicodeDecodeError: 'gbk' codec can't decode byte 0x80 in position 47: illegal multibyte sequence

module = RunExecutableModule("./")

File "F:\DangoTranslate-Ver3.6.2\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\executor.py", line 360, in init
set_default_pip_lib(self.interpreter_path)
File "F:\DangoTranslate-Ver3.6.2\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\kernel\tools\interpreter.py", line 229, in set_default_pip_lib
PIP.pip_main = PIPTerminal(interpreter_path).shell_func()
File "F:\DangoTranslate-Ver3.6.2\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\kernel\tools\interpreter.py", line 21, in init
super(PIPTerminal, self).init()
File "F:\DangoTranslate-Ver3.6.2\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\kernel\tools\terminal.py", line 138, in init
super(PTerminal, self).init()
File "F:\DangoTranslate-Ver3.6.2\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\kernel\tools\terminal.py", line 92, in init
self.init_terminal()
File "F:\DangoTranslate-Ver3.6.2\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\kernel\tools\terminal.py", line 147, in init_terminal
self._shell_func()(prepare)
File "F:\DangoTranslate-Ver3.6.2\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\kernel\tools\terminal.py", line 169, in closure
callback.handle(self.main_terminal)
File "F:\DangoTranslate-Ver3.6.2\DangoTranslate-Ver3.6.2\DangoOCR-Ver1.2\Python\lib\site-packages\qpt\kernel\tools\terminal.py", line 67, in handle
msg = line.decode('gbk').strip("b'").strip("\n").strip(SHELL_ACT)
UnicodeDecodeError: 'gbk' codec can't decode byte 0x80 in position 47: illegal multibyte sequence

Mac版本

请问作者能发布Mac版本吗？
我看了下pyqt做的gui，不知道Mac能不能用

_{Sent from PPHub}

软件真的超级好用！！帮大忙了！如果能加入日文汉字标注假名的功能，就完美了。

朗读原文没有用

可以增加自动朗读原文的功能吗

沙发,很好用,抢先点赞

居然没有人留脚印(虽然我知道这里不是评论区啦)
那我就先悄咪咪留个赞在此处了

可以增加搜狗翻译API吗？

https://deepi.sogou.com/doccenter/texttranslatedoc
如上所述

Windows10系统报毒并自动删除可执行文件

问题如上图，从百度网盘下载解压后无法执行，然后就找不到可执行文件了。查看安全中心发现被当作木马删除了:cry:，我的系统版本号是1909。

English Support?

is there going to be english translation support?
会有英文翻译支持吗？

fanyi.baidu.com/v2transapi 不能翻译长句子了

昨天突然发现出现，英->中，超过500个字符的长句子时，会timeout
我是在2秒调用一次，大概十次左右会出现这样的情况
timeout=5的时候会直接超时
requests.exceptions.ReadTimeout: HTTPSConnectionPool(host='fanyi.baidu.com', port=443): Read timed out. (read timeout=5)
timeout=20的时候，返回值里就没有翻译结果data，只有keywords

有人遇到类似的情况么，求教怎么解决

v3.5版本修改密码功能在哪里？

RT。

版本：v3.5

我都不明白为什么要有注册功能，有就算了，还没修改密码功能。先不说同步后各种api key可能会泄漏的问题，到时被别人拿账号密码撞库就好笑了。

OCR 錯誤，請問要怎麼解決

已經有安裝 DangoOCR.exe 運行完成，測試工具開啟後就消失了

兄啊，OCR直接给我cpu拉满了

cpu吃我90%，我要死力

東西很棒 可惜在OBS上有一個小問題

我本機windows7環境 用最新版本obs studio
打算分開2個視窗擷取同時錄下遊戲畫面和翻譯機畫面
可是obs視窗擷取翻譯機只能獲得黑色畫面
用顯示器擷取全屏當然是沒問題的
可是這種擷取限制全屏30幀 想錄60幀就沒辦法了
如果可以讓obs擷取到就好了

你是男是女啊 結婚嗎？ 我是之前抄你創意的Translator OCR 作者

如題 結婚嗎？
ps 面試加油啊23333333333

DeepL輸入的字句會不斷往上累加

你好
我發現使用DeepL作為翻譯源時
OCR偵測到的字句會不斷疊加上去
例如 OCR在第一楨偵測到句子A 第二楨偵測到句子B
照理說應該要在第二楨時顯示句子B的翻譯結果
但是使用deepL時會顯示A+B的翻譯結果
並且在此之後不斷往上累加 變成翻譯A+B+C....不會消除之前的句子
導致最後deepL翻譯的篇幅非常大

3.6版本使用本地OCR时CPU占用率100%

请问如何解决？

关于团子翻译器在异形屏环境下的Bug

个人的使用环境：双屏，主屏的屏幕分辨率是 3440 * 1440，副屏的屏幕分辨率为1080 * 1920。

启用团子翻译器的时候会出现团子翻译器突然异味的情况（拖动团子翻译器的时候出现，翻译框突然频闪，瞬移至屏幕边框位置再瞬移回来，甚至有翻译框跳出屏幕无法拉回的情况）

打开查询错误用.exe后，登录后小黑框出现 Unknown property background-size 字样。

拖动翻译器时，出现以下类型信息：

QWindowsWindow::setGeometry: Unable to set geometry 800x120-541+1061 (frame: 800x120-541+1061) on QWidgetWindow/"MainInterfaceClassWindow" on "\\.\DISPLAY1". Resulting geometry: 1000x150-541+1061 (frame: 1000x150-541+1061) margins: 0, 0, 0, 0 minimum size: 16x22 MINMAXINFO maxSize=0,0 maxpos=0,0 mintrack=16,22 maxtrack=0,0)
QWindowsWindow::setGeometry: Unable to set geometry 1000x150+636+630 (frame: 1000x150+636+630) on QWidgetWindow/"MainInterfaceClassWindow" on "\\.\DISPLAY4". Resulting geometry: 800x120+636+630 (frame: 800x120+636+630) margins: 0, 0, 0, 0 minimum size: 16x25 MINMAXINFO maxSize=0,0 maxpos=0,0 mintrack=16,25 maxtrack=0,0)

之前使用1920 * 1080和1080 * 1920的双屏环境时无此Bug，故推测此 Bug 可能和异形屏的分辨率有关，希望团子大大可以排查一下修复，谢谢团子啦！！

可以提个小建议嘛>_<

有没有可能加个选项让翻译后面加上渠道，例如百度翻译的最后加上一个（百
这样可以比较方便的知道哪个翻译质量好一些 0.0 现在的是按照返回顺序直接显示的

还有个小问题，362是改了离线ocr识别逻辑嘛。。。静态图也一直在识别。。。361配1.2倒是还是和以前一样。。。

么么哒~