paddle-botbotassignedtink2123Sep 13, 2023 neo133changed the titlePPOCRv4 rec and det trained model download linkSep 13, 2023 PaddlePaddlelocked and limited conversation to collaboratorsMay 27, 2024 SWHLconverted this issue into discussion#12489May 27, 2024 ...
# 获取程序git clone https://gitee.com/LubanCat/lubancat_ai_manual_code.gitcdlubancat_ai_manual_code/example/ppocrv4# 在toolkit2环境下,转换文字识别模型(toolkit2_1.6)llh@YH-LONG:xxx/pp-ocrv4$ python convert_rec.py W __init__: rknn-toolkit2 version:1.6.0+81f21f4d --> Config modeldo...
使用python tools/eval.py -c configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_svtr_large.yml也是正常的, 用python tools/export_model.py -c configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_svtr_large.yml 也是能成功导出模型的 用export_model.py导出的模型,使用python tools/infer/predict_rec.py预测宽度不太长的...
分别打开 PaddleOCR-release-2.6\deploy\hubserving\ocr_system的 params.py并将模型路径参数改成刚刚下载的三个模型路径: cfg.cls_model_dir = "./inference/ch_ppocr_mobile_v2.0_cls_infer/" cfg.rec_model_dir = "./inference/ch_PP-OCRv4_rec_infer/" cfg.det_model_dir = "./inference/ch_PP-OC...
PP-OCRv4_server_rec 79.20 7.19439 140.179 71.2 M 注:以上精度指标的评估集是 PaddleOCR 自建的中文数据集,覆盖街景、网图、文档、手写多个场景,其中文本识别包含 1.1w 张图片。所有模型 GPU 推理耗时基于 NVIDIA Tesla T4 机器,精度类型为 FP32, CPU 推理速度基于 Intel(R) Xeon(R) Gold 5117 CPU @ 2.00...
docker exec -it -u root fdocr bash 2.2 安装(在docker内) ```bash ldconfigapt-getinstall libgl1 ``` 2.3 启动服务端(在docker内) ```bash fastdeployserver --model-repository=/ocr_serving/models ``` 参数: - `model-repository`(required): 整套模型streaming_pp_tts存放的路径. ...
hub serving start --modules ocr_system ocr_cls ocr_det ocr_rec -p 9000 识别地址就是http://127.0.0.1:9000/predict/ocr_system 测试没问题,到这里运行镜像就构建好了 最后将容器内无用文件删除,减小容器的体积 rm -rf /root/.cache/* \ && rm -rf /var/lib/apt/lists/* \ && rm -rf /app/...
rec_model_dir='./model' ) def get_result(image:str)->str: """获取预测结果""" result = ocr.ocr(image) text = "" for i in result[0]: text += i[1][0]+'\n' return text #设置预测图片路径,这里建议使用绝对路径 img="/home/nano/code/ocr/test/1.jpg" ...
ch_ppocr_mobile_v2.0_rec_infer.tar -C /PaddleOCR/inference/ RUN hub install deploy/hubserving/ocr_system/ RUN hub install deploy/hubserving/ocr_cls/ RUN hub install deploy/hubserving/ocr_det/ RUN hub install deploy/hubserving/ocr_rec/ EXPOSE 9000 CMD ["/bin/bash","-c","hub serving ...