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Hi everyone, I just wanted to share my implementation of ColorJitter which is very close to the one used in torchvision.
As ColorJitter in torchvision.transforms, you can specify a float, or a (min,max) to sample the different ratio for brightness/contrast/saturation and hue.
I did simple tests to visualize the transformations between the Pytorch and FFCV version:
![color_jitter_pytorch4](https://user-images.githubusercontent.com/5903040/159750717-0242295f-0714-4c40-a9dc-9b748c74b819.jpeg)
![color_jitter_fcv4](https://user-images.githubusercontent.com/5903040/159750738-dbeb8100-2512-41ed-b23f-f502a18ba87b.jpeg)
ColorJitter (only hue) from torchvision.transforms:
ColorJitter (only hue) from this pull request (FFCV):
And ColorJitter with different values for brightness/contrast/saturation and hue:
![FFCV ColorJitter (2)](https://user-images.githubusercontent.com/5903040/159752473-24a74599-4921-47ac-8e23-a81c538d2ee9.jpg)
The code used for brightness/contrast/saturation is identical to the ones used in torchvision.transforms, however concerning hue, the code used is an adaptation from
https://sanje2v.wordpress.com/2021/01/11/accelerating-data-transforms/
https://stackoverflow.com/questions/8507885