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@ -5,6 +5,8 @@ This project applies an implementation of [Globally and Locally Consistent Image
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# **THIS PROJECT IS STILL IN DEVELOPMENT. DO NOT BE DISAPPOINTED IF THE RESULTS AREN'T AS GOOD AS YOU EXPECT.**
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Next planned update on March 1: Incorporate GAN loss in training. Improve CLI.
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![Censored, decensored](/readme_images/collage.png)
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# Limitations
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@ -81,9 +83,11 @@ Train pretrained model on your custom dataset.
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$ python train.py
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```
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Training can be done separately for mosaics with train_mosaic.py, but decensor.py is not yet compatible with mosaic decensorship models.
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# To do
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- ~~Add Python 3 compatibility~~
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- Add random rotations in cropping rectangles
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- ~~Add random rotations in cropping rectangles~~
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- Retrain for arbitrary shape censors
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- Add a user interface
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- Incorporate GAN loss into training
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