Requirements

• Python 3.6 (Anaconda is recommended)
• skimage
• imageio
• Pytorch (Pytorch version >=1.2.0 is recommended)
• tqdm
• pandas
• cv2 (pip install opencv-python)

Test

Quick start

1. Download the testset The testset can be downloaded from [BaiduYun](code:hl0v) and unzip it to ./results

2. cd to EMASRN and run one of following commands for evaluation:

   # EMASRN
   python test.py -opt options/test/test_example_x3.json
   python test.py -opt options/test/test_example_x4.json
   

3. Edit ./options/test/test_example_x3.json or ./options/test/test_example_x4.json for your needs