安装¶
选择您的偏好并运行安装命令。
操作系统: Linux macOS Windows
版本: 稳定版 每夜构建版 源码
稳定版发布。
包含最新功能的每夜构建版。
从源码安装 GluonCV。
后端: 原生 CUDA MKL-DNN CUDA + MKL-DNN
CPU 内建后端。
运行于 Nvidia GPU 所需。
加速 Intel CPU 性能。
同时启用 Nvidia GPU 和 Intel CPU 加速。
先决条件
需要 pip >= 9..
请注意,您可以通过将“pip install gluoncv”替换为“pip install gluoncv[full]”来一并安装所有额外的可选依赖项。
每夜构建版为爱好者提供最新功能。
命令
# for mxnet
pip install --upgrade mxnet
# for pytorch
pip install torch==1.6.0+cpu torchvision==0.7.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install --upgrade gluoncv
# Here we assume CUDA 10.2 is installed. You can change the number
# according to your own CUDA version.
# for mxnet
pip install --upgrade mxnet-cu102
# for pytorch
pip install torch==1.6.0 torchvision==0.7.0
pip install --upgrade gluoncv
pip install --upgrade mxnet-mkl gluoncv
# Here we assume CUDA 10.2 is installed. You can change the number
# according to your own CUDA version.
pip install --upgrade mxnet-cu102mkl gluoncv
# for mxnet
pip install --upgrade mxnet -f https://dist.mxnet.io/python/all
# for pytorch
pip install --pre torch torchvision torchaudio -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
pip install --pre --upgrade gluoncv
# mxnet
pip install --upgrade mxnet-cu102 -f https://dist.mxnet.io/python/all
# pytorch
pip install --pre torch torchvision torchaudio -f https://download.pytorch.org/whl/nightly/cu102/torch_nightly.html
pip install --pre --upgrade gluoncv
pip install --pre --upgrade gluoncv
pip install --upgrade mxnet-mkl -f https://dist.mxnet.io/python/all
pip install --pre --upgrade gluoncv
pip install --upgrade mxnet-cu102mkl -f https://dist.mxnet.io/python/all
# mxnet
pip install --upgrade mxnet -f https://dist.mxnet.io/python/all
# pytorch
pip install --pre torch torchvision torchaudio -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
git clone https://github.com/dmlc/gluon-cv
cd gluon-cv && python setup.py install --user
# mxnet
pip install --upgrade mxnet-cu100 -f https://dist.mxnet.io/python/all
# pytorch
pip install --pre torch torchvision torchaudio -f https://download.pytorch.org/whl/nightly/cu102/torch_nightly.html
git clone https://github.com/dmlc/gluon-cv
cd gluon-cv && python setup.py install --user
pip install --upgrade mxnet-mkl -f https://dist.mxnet.io/python/all
git clone https://github.com/dmlc/gluon-cv
cd gluon-cv && python setup.py install --user
pip install --upgrade mxnet-cu102mkl -f https://dist.mxnet.io/python/all
git clone https://github.com/dmlc/gluon-cv
cd gluon-cv && python setup.py install --user
下一步¶
请访问 beta.mxnet.io 查看更多选项,例如 ARM 设备和 docker 镜像。
对于新用户:60 分钟 Gluon 速成课程
对于有经验的用户:MXNet 指南。
对于高级用户:MXNet API 和 GluonCV API。