Comments (1)
joey12300
commented on May 21, 2024
可以试试用以下命令编译opencv。
cmake .. -DCMAKE_INSTALL_PREFIX=/root/projects/opencv3 -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=OFF -DWITH_ZLIB=ON -DBUILD_ZLIB=ON -DWITH_JPEG=ON -DBUILD_JPEG=ON -DWITH_PNG=ON -DBUILD_PNG=ON -DWITH_TIFF=ON -DBUILD_TIFF=ON -DWITH_IPP=OFF -DBUILD_IPP_IW=OFF -DWITH_LAPACK=OFF -DWITH_EIGEN=OFF -DCMAKE_INSTALL_LIBDIR=lib64
之后会在文档中更新这个命令，谢谢反馈！ ：）
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Related Issues (20)
- I1213 18:12:26.554149 130936 eager_method.cc:140] Warning:: 0D Tensor cannot be used as 'Tensor.numpy()[0]' . In order to avoid this problem, 0D Tensor will be changed to 1D numpy currently, but it's not correct and will be removed in release 2.6. For Tensor contain only one element, Please modify 'Tensor.numpy()[0]' to 'float(Tensor)' as soon as possible, otherwise 'Tensor.numpy()[0]' will raise error in release 2.6. I1213 18:12:26.708701 130936 eager_method.cc:140] Warning:: 0D Tensor cannot be used as 'Tensor.numpy()[0]' . In order to avoid this problem, 0D Tensor will be changed to 1D numpy currently, but it's not correct and will be removed in release 2.6. For Tensor contain only one element, Please modify 'Tensor.numpy()[0]' to 'float(Tensor)' as soon as possible, otherwise 'Tensor.numpy()[0]' will raise error in release 2.6. HOT 3
- Got low loss when training but it predicted a whole white image with the size of input image then ROI
- log（日志）文件乱码
- 关于PP-HumanSeg14K数据集 HOT 2
- SegmentAngthing 出现引用gradio错误 HOT 2
- 训练自己的数据集，推理结果收到batch size影响很大 HOT 1
- TypeError: __init__() got an unexpected keyword argument 'to_static_training' HOT 5
- eiseg标注的jason文件怎么转换成COCO格式，我用labelme保存的jason文件可以用脚本转换的，但是转eiseg的jason就报错
- Assignment error in RandomPaddingCrop
- EISeg闪退
- getting raw logits from trained model
- About PP-LiteSeg: What's the official flops?
- 关于CPS的数据导入问题dataloader StopIteration HOT 1
- PP_humansegv2预训练模型微调
- 自定义数据集出现 TypeError: Config.__init__() got an unexpected keyword argument 'to_static_training' HOT 2
- 出现IndexError: too many indices for array: array is 0-dimensional, but 1 were indexed 的原因 HOT 3
- paddleseg模型部署，开启服务后。正常运行两天左右，服务便会自动终止，输出日志中没有找到终止原因 HOT 2
- Run inference from Python script HOT 2
- pip install paddleseg install 2.8.0 version instead of 2.9.0 HOT 2
- C2Fnet训练问题 HOT 1
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