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Installation

This repository is built in PyTorch 1.11 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/swz30/MIRNetv2.git
cd MIRNetv2
  1. Make conda environment
conda create -n pytorch111 python=3.7
conda activate pytorch111
  1. Install dependencies
conda install pytorch=1.11 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
  1. 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
  1. Add the lines in ~/.bashrc
export GOPATH=$HOME/go
export PATH=$PATH:$HOME/go/bin:$HOME/installed/go/bin
  1. Install gdrive using
go get github.com/prasmussen/gdrive
  1. Close current terminal and open a new terminal.