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参加NITRE大赛图像去噪方向,基于DnCNN的残差学习图像去噪

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Note:

Note:

  • nntools.py is Neural Network tools developed for UCSD ECE285 MLIP. Copyright 2019. Charles Deledalle, Sneha Gupta, Anurag Paul, Inderjot Saggu.

  • should create a folder called dataset and download BSD300 folder(including train_data and test_data) into "dataset"from [Google]: https://drive.google.com/drive/folders/1F0_w4z8ImdzGTwJe3Ajy4ax2Ew58aLg_?usp=sharing

  • any zip or 7z of train and test data should unpack and put into dataset folder and change root_dir in argument.py:

    --root_dir='../dataset/BSD300/images'
    

Test:

python /model/test.py
  • test.pyis a demo for test ,you can set path of the test pictures and saved pictures at In29:

    file_root = '../test/try/'
    save_out = "../test/tryout/" 
    
  • should create a folder called "test" and put valid_image into test folder,you can get final pics in folder "outputpic"

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参加NITRE大赛图像去噪方向,基于DnCNN的残差学习图像去噪

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