是否支持doc、docx文件的识别？

[krasier3]

G:\conda\envs\dasel\python.exe E:\PaddleOCR\PaddleOCR-release-2.7\second.py
[2023/11/09 21:28:12] ppocr DEBUG: Namespace(alpha=1.0, alphacolor=(255, 255, 255), benchmark=False, beta=1.0, binarize=False, cls_batch_num=6, cls_image_shape='3, 48, 192', cls_model_dir=None, cls_thresh=0.9, cpu_threads=10, crop_res_save_dir='./output', det=True, det_algorithm='DB', det_box_type='quad', 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\10362/.paddleocr/whl\det\ch\ch_PP-OCRv4_det_infer', det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, det_pse_thresh=0, det_sast_nms_thresh=0.2, det_sast_score_thresh=0.5, draw_img_save_dir='./inference_results', 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_score_thresh=0.5, e2e_pgnet_valid_set='totaltext', enable_mkldnn=False, fourier_degree=5, gpu_id=0, gpu_mem=500, help='==SUPPRESS==', image_dir=None, image_orientation=True, invert=False, ir_optim=True, kie_algorithm='LayoutXLM', label_list=['0', '180'], lang='ch', layout=True, layout_dict_path='E:\PaddleOCR\PaddleOCR-release-2.7\ppocr\utils\dict\layout_dict\layout_cdla_dict.txt', layout_model_dir='C:\Users\10362/.paddleocr/whl\layout\picodet_lcnet_x1_0_fgd_layout_cdla_infer', layout_nms_threshold=0.5, layout_score_threshold=0.5, max_batch_size=10, max_text_length=25, merge_no_span_structure=True, min_subgraph_size=15, mode='structure', ocr=True, ocr_order_method=None, ocr_version='PP-OCRv4', output='./output', page_num=0, precision='fp32', process_id=0, re_model_dir=None, rec=True, rec_algorithm='SVTR_LCNet', rec_batch_num=6, rec_char_dict_path='E:\PaddleOCR\PaddleOCR-release-2.7\ppocr\utils\ppocr_keys_v1.txt', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_model_dir='C:\Users\10362/.paddleocr/whl\rec\ch\ch_PP-OCRv4_rec_infer', recovery=False, save_crop_res=False, save_log_path='./log_output/', scales=[8, 16, 32], ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ser_model_dir=None, show_log=True, sr_batch_num=1, sr_image_shape='3, 32, 128', sr_model_dir=None, structure_version='PP-StructureV2', table=True, table_algorithm='TableAttn', table_char_dict_path='E:\PaddleOCR\PaddleOCR-release-2.7\ppocr\utils\dict\table_structure_dict_ch.txt', table_max_len=488, table_model_dir='C:\Users\10362/.paddleocr/whl\table\ch_ppstructure_mobile_v2.0_SLANet_infer', total_process_num=1, type='ocr', use_angle_cls=False, use_dilation=False, use_gpu=True, use_mp=False, use_npu=False, use_onnx=False, use_pdf2docx_api=False, use_pdserving=False, use_space_char=True, use_tensorrt=False, use_visual_backbone=True, use_xpu=False, vis_font_path='./doc/fonts/simfang.ttf', warmup=False)
2023-11-09 21:28:12 INFO: Loading faiss with AVX2 support.
2023-11-09 21:28:12 INFO: Successfully loaded faiss with AVX2 support.
E1109 21:28:14.377789 10944 analysis_predictor.cc:1716] Allocate too much memory for the GPU memory pool, assigned 8000 MB
E1109 21:28:14.378798 10944 analysis_predictor.cc:1719] Try to shink the value by setting AnalysisConfig::EnableUseGpu(...)
Traceback (most recent call last):
File "E:\PaddleOCR\PaddleOCR-release-2.7\second.py", line 10, in
result = table_engine(img)
File "E:\PaddleOCR\PaddleOCR-release-2.7\paddleocr.py", line 766, in call
res, _ = super().call(
File "E:\PaddleOCR\PaddleOCR-release-2.7\ppstructure\predict_system.py", line 98, in call
cls_res = next(cls_result)
File "G:\conda\envs\dasel\lib\site-packages\paddleclas\paddleclas.py", line 704, in predict_cls
raise ImageTypeError(err)
paddleclas.paddleclas.ImageTypeError: Please input legal image! The type of image supported by PaddleClas are: NumPy.ndarray and string of local path or Ineternet URL

[SWHL]

doc docx文件直接解析不就好了