Software Engineering And Web Development: JPEG Compression In PyTorch
JPEG compression applied to images with quality range [0, 100] using torchvision.transforms.v2.JPEG. Example usage: JPEG(quality=[50, 100])
Buy Me a Coffee☕ *Memos: My post explains OxfordIIITPet(). JPEG() can randomly apply JPEG compression to an image as shown below: *Memos: The 1st argument for initialization is quality(Required-Type:int): *Memos: It's the range of the quality [min, max] so it must be min <= max. It must be 0 <= x <= 100. A tuple/list must be the 1D with 2 elements. A single value means [quality, quality]. There is the 1st argument(Required-Type:PIL Image or tensor(int(uint8))). *A tensor must be 3D. v2 is recommended to use according to V1 or V2? Which one should I use?. from torchvision.datasets imp...