https://github.com/maximellerbach/image-processing-using-ai
in this repo, I create models to process image (upscale, debluring...)
https://github.com/maximellerbach/image-processing-using-ai
deblurring fully-convolutional-networks machine-learning upsampling-and-denoising upscaling
Last synced: about 1 year ago
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in this repo, I create models to process image (upscale, debluring...)
- Host: GitHub
- URL: https://github.com/maximellerbach/image-processing-using-ai
- Owner: Maximellerbach
- Created: 2019-03-13T10:06:41.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2021-10-05T09:45:56.000Z (over 4 years ago)
- Last Synced: 2025-04-28T18:09:48.972Z (about 1 year ago)
- Topics: deblurring, fully-convolutional-networks, machine-learning, upsampling-and-denoising, upscaling
- Language: Python
- Size: 6.92 MB
- Stars: 15
- Watchers: 1
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Image-Processing-using-AI
in this repo, I create models to process image (upscale, debluring...)
--
-I used this dataset : http://ai.stanford.edu/~jkrause/cars/car_dataset.html
-you can use pretrained AI:
upmodel1/2 are for upscaling image
debmodel1/2 are for debluring image
I used 2 models to visualize the output of the first model so I load both and create a combined one to train.
in pred.py, I just load both of them and use output of model1 as input of model2.