PaddleOCR
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Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and de...
下面这幅图是我使用PPOCRLabel进行表格标注,调整完cell顺序,以及空cell后的截图 ![Uploading 微信截图_20231220223936.png…]() 对应的,我也调整了excel文件中表格的格式,下面是导出表格标注后gt.txt文件中的内容 `{"filename": "0003.jpg", "html": {"structure": {"tokens": ["", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",...
请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem: I tryed to train a model using the config file present in the config like i did 2 month ago...
在这里读到了文本检测任务的数据格式,有个疑问,如果图片为负样本,即没有任何文字,第二个字段应该是怎样的?https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.7/doc/doc_ch/dataset/ocr_datasets.md#1-%E6%96%87%E6%9C%AC%E6%A3%80%E6%B5%8B
 
请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem - 系统环境/System Environment:win10 - 版本号/Version:Paddle: PaddleOCR:2.6 问题相关组件/Related components: - 运行指令/Command Code: - 完整报错/Complete Error Message: 请尽量不要包含图片在问题中/Please try to not include...
请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem - 系统环境/System Environment:win19 - 版本号/Version:Paddle: PaddleOCR:2.6 问题相关组件/Related components: - 运行指令/Command Code: - 完整报错/Complete Error Message: resnet crnn 多语种模型 英文识别效果差
请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem - 系统环境/System Environment:win10 - 版本号/Version:Paddle: PaddleOCR: 问题相关组件/Related components:ppocr2.7 - 运行指令/Command Code:D:\PYTHON\Anaconda3\envs\pd\python.exe D:\PYTHON\codes\PaddleOCR-release-2.7\train-muhao.py -c .\configs\rec\PP-OCRv4\en_PP-OCRv4_rec.yml -o Global.pretrained_model=./pre_train_models/en_PP-OCRv4_rec_train/best_accuracy - - 完整报错/Complete Error...
I have noticed some weird memory usage when evaluating the performance of PaddleOCR: When PaddleOCR processes new images of a sequence, there is a constant increase in memory usage of...
``` # 设置检测模型的max_side_len det_model.preprocessor.max_side_len = 960 # 其他... ``` 提到可以修改前后处理超参数,但没有说明具体的用法,直接使用cpu_threads=32或者enable_mkldnn=True 要报错,option = fd.RuntimeOption()貌似也只能切换后端。请求给出具体用法