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INSTALL.md

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Installation

The code was tested on Ubuntu 16.04, with Anaconda Python 3.6, CUDA 10.0, and PyTorch v1.0. It should be compatible with PyTorch <=1.4 and python >=0.4 (you will need to switch DCNv2 version for PyTorch <1.0). After installing Anaconda:

  1. [Optional but highly recommended] create a new conda environment.

    conda create --name CenterTrack python=3.6

    And activate the environment.

    conda activate CenterTrack

  2. Install PyTorch:

    conda install pytorch torchvision -c pytorch

  3. Install COCOAPI:

    pip install cython; pip install -U 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'

  4. Clone this repo:

    CenterTrack_ROOT=/path/to/clone/CenterTrack
git clone --recursive https://github.com/xingyizhou/CenterTrack $CenterTrack_ROOT

    You can manually install the submodules if you forget --recursive.

  5. Install the requirements

    pip install -r requirements.txt

  6. Compile deformable convolutional (from DCNv2).

    cd $CenterTrack_ROOT/src/lib/model/networks/
# git clone https://github.com/CharlesShang/DCNv2/ # clone if it is not automatically downloaded by `--recursive`.
cd DCNv2
./make.sh

  7. Download pertained models for monocular 3D tracking, 80-category tracking, or pose tracking and move them to $CenterTrack_ROOT/models/. More models can be found in Model zoo.