生成的推理模型不能用

[lylkr]

• 系统环境/System Environment：win10
• 版本号/Version：paddleocr 2.7.0.3 paddlepaddle 2.6.1

ocr_smk = PaddleOCR(rec_model_dir="./rec_svtr_tiny_digital", lang="en") result = ocr_smk.ocr(name, cls=True)

ocr_yj = PaddleOCR(det_model_dir="./det_yejing/Student/", rec_model_dir="./rec_yejing/Student/") result = ocr_yj.ocr(name, cls=True)

用官网提供的液晶和数码块的训练好的模型直接生成的推理模型，执行后resul为none，是什么原因

[UserWangZz]

可以提供一下输出结果，我们排查一下

[lylkr]

[Uploading rec_svtr_tiny_digital.zip…]() 这是数码管的推理模型

[lylkr]

rec_yejing.zip 这是液晶的识别的推理模型，生成推理时用的是md文档中提到的yml，而不是下载的训练模型中的yml（因为algorithm: SVTR，一直报错）

[lylkr]

det_yejing.zip 这是液晶的检测的推理模型，生成推理时用的也是md文档中提到的yml

[lylkr]

可以提供一下输出结果，我们排查一下

[2024/04/30 21:41:22] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=False, use_xpu=False, use_npu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir=None, page_num=0, det_algorithm='DB', det_model_dir='C:\Users\qqq/.paddleocr/whl\det\en\en_PP-OCRv3_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='./rec_svtr_tiny_digital', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='c:\Users\qqq\AppData\Local\Programs\Python\Python310\lib\site-packages\paddleocr\ppocr\utils\en_dict.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='C:\Users\qqq/.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, 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='en', det=True, rec=True, type='ocr', ocr_version='PP-OCRv4', structure_version='PP-StructureV2') [2024/04/30 21:41:29] ppocr WARNING: Since the angle classifier is not initialized, it will not be used during the forward process [2024/04/30 21:41:29] ppocr DEBUG: dt_boxes num : 1, elapsed : 0.027101755142211914 [2024/04/30 21:41:29] ppocr DEBUG: rec_res num : 1, elapsed : 0.13486337661743164

这是数码块的输出

[lylkr]

可以提供一下输出结果，我们排查一下

[2024/04/30 21:42:47] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=False, use_xpu=False, use_npu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir=None, page_num=0, det_algorithm='DB', det_model_dir='./det_student', 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='./rec_Student', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='c:\Users\qqq\AppData\Local\Programs\Python\Python310\lib\site-packages\paddleocr\ppocr\utils\en_dict.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='C:\Users\qqq/.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, 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='en', det=True, rec=True, type='ocr', ocr_version='PP-OCRv4', structure_version='PP-StructureV2') [2024/04/30 21:42:50] ppocr WARNING: Since the angle classifier is not initialized, it will not be used during the forward process [2024/04/30 21:42:51] ppocr DEBUG: dt_boxes num : 0, elapsed : 0.08198094367980957 [2024/04/30 21:42:51] ppocr DEBUG: rec_res num : 0, elapsed : 0.0

这是液晶的输出

[tink2123]

看log，模型没有检测到文本框内容，可以替换官方的 中文 文本检测模型试一下。修改参数 lang='ch'