xulihang
commented
2 weeks ago 应该是新版本返回的结果变了，要改下代码。
Open hucurve opened 2 weeks ago
xulihang
commented
2 weeks ago 应该是新版本返回的结果变了，要改下代码。
xulihang
commented
2 weeks ago rapidOCR用的也是paddleOCR的模型，你看下效果差不多的话，也可以用这个。
hucurve
commented
2 weeks ago rapidOCR用的也是paddleOCR的模型，你看下效果差不多的话，也可以用这个。
我有用过，我在识别日语手写体（竖排文字）， rapidOCR的模型效果非常差，paddleOCR会好很多。或者有什么其他推荐吗？
xulihang
commented
2 weeks ago 手写体我没测试过
我使用了https://github.com/xulihang/ImageTrans_plugins/tree/master/paddleOCR 的教程启动，但是是在官网上拉取的paddle OCR，当天完美运行，重启了一下就不行了，不知道咋回事，日志如下
serving on http://127.0.0.1:8080 japan [2024/11/09 21:28:04] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=True, use_xpu=False, use_npu=False, use_mlu=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\hujun/.paddleocr/whl\det\ml\Multilingual_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='C:\Users\hujun/.paddleocr/whl\rec\japan\japan_PP-OCRv4_rec_infer', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='S:\anaconda3\Lib\site-packages\paddleocr\ppocr\utils\dict\japan_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\hujun/.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, return_word_box=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir=None, merge_no_span_structure=True, table_char_dict_path=None, formula_algorithm='LaTeXOCR', formula_model_dir=None, formula_char_dict_path=None, formula_batch_num=1, 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, formula=False, ocr=True, recovery=False, recovery_to_markdown=False, use_pdf2docx_api=False, invert=False, binarize=False, alphacolor=(255, 255, 255), lang='japan', det=True, rec=True, type='ocr', savefile=False, ocr_version='PP-OCRv4', structure_version='PP-StructureV2') [2024/11/09 21:28:04] ppocr WARNING: The first GPU is used for inference by default, GPU ID: 0 [2024/11/09 21:28:06] ppocr WARNING: The first GPU is used for inference by default, GPU ID: 0 .jpg [2024/11/09 21:28:08] ppocr WARNING: Since the angle classifier is not initialized, it will not be used during the forward process [2024/11/09 21:28:09] ppocr DEBUG: dt_boxes num : 0, elapsed : 0.3973708152770996 [2024/11/09 21:28:09] ppocr DEBUG: rec_res num : 0, elapsed : 0.0 None Traceback (most recent call last): File "S:\anaconda3\Lib\site-packages\bottle.py", line 876, in _handle return route.call(*args) ^^^^^^^^^^^^^^^^^^ File "S:\anaconda3\Lib\site-packages\bottle.py", line 1759, in wrapper rv = callback(a, **ka) ^^^^^^^^^^^^^^^^^^ File "C:\Users\hujun\Downloads\server_paddleocr.py", line 38, in ocr for line in result: TypeError: 'NoneType' object is not iterable 127.0.0.1 - - [09/Nov/2024:21:28:04 +0800] "POST /ocr HTTP/1.1" 500 744 "-" "okhttp/3.12.12"