| # Installation | |
| This repository is built in PyTorch 1.8.1 and tested on Ubuntu 16.04 environment (Python3.7, CUDA10.2, cuDNN7.6). | |
| Follow these intructions | |
| 1. Clone our repository | |
| ``` | |
| git clone https://github.com/sunshangquan/Histoformer.git | |
| cd Histoformer | |
| ``` | |
| 2. Make conda environment | |
| ``` | |
| conda create -n pytorch181 python=3.7 | |
| conda activate pytorch181 | |
| ``` | |
| 3. Install dependencies | |
| ``` | |
| conda install pytorch=1.8 torchvision cudatoolkit=10.2 -c pytorch | |
| pip install matplotlib scikit-learn scikit-image opencv-python yacs joblib natsort h5py tqdm | |
| pip install einops gdown addict future lmdb numpy pyyaml requests scipy tb-nightly yapf lpips | |
| ``` | |
| 4. Install basicsr | |
| ``` | |
| python setup.py develop --no_cuda_ext | |
| ``` | |
| ### Download datasets from Google Drive | |
| To be able to download datasets automatically you would need `go` and `gdrive` installed. | |
| 1. You can install `go` with the following | |
| ``` | |
| curl -O https://storage.googleapis.com/golang/go1.11.1.linux-amd64.tar.gz | |
| mkdir -p ~/installed | |
| tar -C ~/installed -xzf go1.11.1.linux-amd64.tar.gz | |
| mkdir -p ~/go | |
| ``` | |
| 2. Add the lines in `~/.bashrc` | |
| ``` | |
| export GOPATH=$HOME/go | |
| export PATH=$PATH:$HOME/go/bin:$HOME/installed/go/bin | |
| ``` | |
| 3. Install `gdrive` using | |
| ``` | |
| go get github.com/prasmussen/gdrive | |
| ``` | |
| 4. Close current terminal and open a new terminal. | |