|
|
| # Installation |
|
|
| ## Requirements |
| - Linux or macOS with Python ≥ 3.8 |
| - PyTorch ≥ 1.8 and [torchvision](https://github.com/pytorch/vision/) that matches the PyTorch installation. |
| Install them together at [pytorch.org](https://pytorch.org) to make sure of this. |
| Note, please check PyTorch version matches that is required by Detectron2. |
| - Detectron2: follow Detectron2 installation instructions. |
| - OpenCV ≥ 4.6 is needed by demo and visualization. |
|
|
| ## Example conda environment setup |
|
|
| ```bash |
| conda create --name cutler python=3.8 -y |
| conda activate cutler |
| conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 -c pytorch |
| pip install git+https://github.com/lucasb-eyer/pydensecrf.git |
| |
| # under your working directory |
| git clone git@github.com:facebookresearch/detectron2.git |
| cd detectron2 |
| pip install -e . |
| pip install git+https://github.com/cocodataset/panopticapi.git |
| pip install git+https://github.com/mcordts/cityscapesScripts.git |
| |
| cd .. |
| git clone --recursive git@github.com:facebookresearch/CutLER.git |
| cd CutLER |
| pip install -r requirements.txt |
| ``` |
|
|
| ## datasets |
| If you want to train/evaluate on the datasets, please see [datasets/README.md](datasets/README.md) to see how we prepare datasets for this project. |
