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TODO.md

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To Do list

  • the preprocess of the data

    • the last two training data should be cutted
    • the data should be of the same size, which I set is 256x256 (but can be changed in the config.json)

  • The network architecture to be decided.

  • The denoise and deblur method to be decided.

Done list

  • Finish dataloader and test it.
  • Denoise Net tested, but not good
  • add Sobel Module to enable the network to learn from the edges.

Test list

  • use unet to detect the watermark
  • use corrupted pic with random line to train the network to identify the line.