Awesome
Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging
Project page | Paper | Supplemental
Jungwoo Kim, Min H. Kim KAIST
Tested Environments
- OS: Ubuntu 16.04 / Windows 10
- Graphic card: TITAN RTX / RTX 2060
- Cuda toolkit version: 10.2
- NVIDIA Driver Version: 456.71
- python: 3.7
- torch version: 1.9.0
Installation
This repository is built in Pytorch 1.9.0 and tested on Ubuntu 16.04 enviornment (Python3.7, CUDA10.2, cuDNN7.6).
Please follow below instructions:
- Clone our repository
git clone git@github.com:KAIST-VCLAB/singshot-hdr-demosaicing.git
cd singshot-hdr-demosaicing
- Make conda enviornment
conda create -n pytorch190 python=3.7
conda activate pytorch190
- Install dependencies
conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cudatoolkit=10.2 -c pytorch
pip install -r "requirements.txt"
Demo
First download our pretrained model and put best_psnr_mu.pt file in code/models/best_psnr_mu.pt.
To run demo with pre-trained models, run below code:
cd code
python test.py