RandomSolarize

class torchvision.transforms.v2.RandomSolarize(threshold: float, p: float = 0.5)

[BETA] Solarize the image or video with a given probability by inverting all pixel values above a threshold.

Note

The RandomSolarize transform is in Beta stage, and while we do not expect disruptive breaking changes, some APIs may slightly change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753.

If img is a Tensor, it is expected to be in […, 1 or 3, H, W] format, where … means it can have an arbitrary number of leading dimensions. If img is PIL Image, it is expected to be in mode “L” or “RGB”.

Parameters:

• threshold (float) – all pixels equal or above this value are inverted.

• p (float) – probability of the image being solarized. Default value is 0.5

Examples using RandomSolarize:

Illustration of transforms

Illustration of transforms