Table Of Contents
Table Of Contents

InstallationΒΆ

Select your preferences and run the install command.

OS: Linux macOS Windows

Version: Stable Nightly Source

Stable Release.
Nightly build with latest features.
Install GluonCV from source.

Backend: Native CUDA MKL-DNN CUDA + MKL-DNN

Build-in backend for CPU.
Required to run on Nvidia GPUs.
Accelerate Intel CPU performance.
Enable both Nvidia CPUs and Inter CPU acceleration.

Prerequisites:

  • Requires pip >= 9.. Both Python 2 and Python 3 are supported.

  • Nightly build provides latest features for enthusiasts.

Command:

pip install --upgrade mxnet gluoncv
# Here we assume CUDA 10.0 is installed. You can change the number
# according to your own CUDA version.
pip install --upgrade mxnet-cu100 gluoncv
pip install --upgrade mxnet-mkl gluoncv
# Here we assume CUDA 10.0 is installed. You can change the number
# according to your own CUDA version.
pip install --upgrade mxnet-cu100mkl gluoncv
pip install --pre --upgrade mxnet gluoncv
pip install --pre --upgrade mxnet-cu100 gluoncv
pip install --pre --upgrade mxnet-mkl gluoncv
pip install --pre --upgrade mxnet-cu100mkl gluoncv
pip install --pre --upgrade mxnet
git clone https://github.com/dmlc/gluon-cv
cd gluon-cv && python setup.py install --user
pip install --pre --upgrade mxnet-cu100
git clone https://github.com/dmlc/gluon-cv
cd gluon-cv && python setup.py install --user
pip install --pre --upgrade mxnet-mkl
git clone https://github.com/dmlc/gluon-cv
cd gluon-cv && python setup.py install --user
pip install --pre --upgrade mxnet-cu100mkl
git clone https://github.com/dmlc/gluon-cv
cd gluon-cv && python setup.py install --user

Check Installation for more installation instructions and options.