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INSTALL.md

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Install

Python Pytorch mmcv

  1. Install requirements

    pip install -r requirements.txt

  2. Install pytorch

    conda install pytorch torchvision cudatoolkit=10.2 -c pytorch

    Make sure the cudatoolkit version is the same as your system's CUDA. Here we use CUDA 10.2. If you are not familiar with how to install Nvidia driver and CUDA, please see below.

  3. Build movienet-tools

    Get into movienet-tools folder, run

    python setup.py develop

    or

    python -m pip install -e . -U

    Note that if you want to install movienet-tools in a second anaconda environment, you should delete the build folder before running setup. That being said:

    rm -r build
python setup.py develop / python -m pip install -e . -U

  4. Dowload model weights

    python scripts/download_models.py

  5. Run a demo to see if you install it correctly

    python demos/face_demo.py

Example Install Nvidia driver 440 and CUDA 10.2

  1. Remove exisitng nvidia sudo apt-get remove –purge nvidia*

  2. Blacklist nouveau sudo vim /etc/modprobe.d/blacklist.conf Add blacklist nouveau at the end of the file

    sudo update-initramfs -u

  3. You may need to reboot

  • You may need to stop the display systemctl isolate multi-user.target and modprobe -r nvidia-drm

  1. Install Nvidia driver 440

    sudo chmod a+x NVIDIA-Linux-x86_64-xxxx.run
sudo sh ./NVIDIA-Linux-x86_64-xxxx.run

  2. Install CUDA 10.2 sudo sh ./cuda_10.2.89_440.33.01_linux.run