Prerequisites

In this section we demonstrate how to prepare an environment with PyTorch.

FGVCLib works on Linux, Windows and macOS. It requires Python 3.7+, CUDA 10.0+ and PyTorch 1.5+.

Note

If you are experienced with PyTorch and have already installed it, just skip this part and jump to the next section. Otherwise, you can follow these steps for the preparation.

Step 0. Download and install Anaconda from the official website.

Step 1. Create a conda environment and activate it.

conda create --name openmmlab python=3.7 -y
conda activate pytorch

Step 2. Install PyTorch following official instructions, e.g.

On GPU platforms:

conda install pytorch torchvision -c pytorch

On CPU platforms:

conda install pytorch torchvision cpuonly -c pytorch

Installation

We recommend that users follow our best practices to install FGVCLib However, the whole process is highly customizable. See Customize Installation section for more information.

Best Practices

Step 0. Install FGVCLib.

Please install it from source:

git clone https://github.com/dongliangchang/Fine-grained-Visual-Analysis-Library.git