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image-restoration's Introduction

Image-Restoration

Dependencies

  • numpy
  • scipy
  • matplotlib
  • pillow
  • scikit-image
  • pytorch

Dataset

Apple emoji dataset, which including ~2200 png images in size 160x160. Dataset source: https://github.com/iamcal/emoji-data

This is the preview of the dataset

Deformation: for each training image, a gaussian mixture overlapped by 3 randomly generated gaussian is applied to the image to perform a deformation. Random gaussian noise is also applied to each image.

Use the download raw image as image, deformed image as ground truth label.

Example of predicted images

image-restoration's People

Contributors

limingwu8 avatar

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image-restoration's Issues

如何对实验结果进行评价

你好,我最近打算做医学图像配准,刚开始做,还不太了解。请问你这个图像配准的评价指标是什么,训练的时候loss是什么。谢谢

This is not registration...

Hi, I have to say this is not image registration but a image synthesis/generation model. Registration means you predict the spacial transformation of the image and transform the image using interpolation, Not that there's no mapping between image intensity but just spacial transformations.

KeyError: 178

else:
--> 124 img_new_value = slice[img_position]

Hi I am getting this error while deforming celebA image. I am opening the image in PIL and using convert('L') and passing numpy array to deforme function.
This is working for emoji but not for my current dataset.

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