Comments (2)
你机器是cuda10的版本,用的是cuda9的paddle,更新下docker环境就好了,
如果您的机器安装的是CUDA10,请运行以下命令创建容器
sudo nvidia-docker run --name ppocr -v $PWD:/paddle --network=host -it hub.baidubce.com/paddlepaddle/paddle:latest-gpu-cuda10.0-cudnn7-dev /bin/bash
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找不到libcublas.so的解决方案可以参考:https://blog.csdn.net/Grit_007/article/details/85000297
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Related Issues (20)
- 训练自己的rec模型报错 HOT 3
- 在类中初始化卡顿 HOT 9
- max_text_length 作用 HOT 1
- 直接识别不使用检测模型 HOT 9
- pdmodel导出为.nb时报错Check failed: it != outputs_.end():
- 问题 HOT 3
- FatalError: `Illegal instruction` is detected by the operating system. HOT 6
- 报错`Illegal instruction` is detected by the operating system HOT 4
- 用导出的微调量化模型(车牌检测和识别都一样)对测试集进行预测出现报错input_data_type:5 != filter_data_type:21. HOT 5
- PaddleOCR slim export model
- CPU版本下的报错信息:`Segmentation fault` is detected by the operating system HOT 5
- 2.7.5报错:NameError: name 'predict_system' is not defined HOT 2
- Mac mini m2 下运行 Demo,CPU 干到 99.8%,30 分钟过去了,但还是未见结果 HOT 5
- 测试时如何摒弃掉纵向框 HOT 3
- 文字检测训练总是报错,检查数据文件没有问题 HOT 7
- 支持网络图片获得每个文字的位置吗?谢谢 HOT 2
- 新人求解,训练模型时,在打印完日志‘During the training process, after the 0th iteration, an evaluation is run every 400 iterations’后,卡住了 HOT 3
- ch_PP-OCRv4_rec文本识别,模型训练前40epoch时,验证精度可以达到90%以上,现在验证精度接近0. HOT 3
- The Hmean is very high (around 93%) but can't infer anything with DB++ model. However, the infer code did great with DB HOT 2
- 使用pyinstaller打包PaddleOCR报错 HOT 1
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