https://pypi.org/project/torch-jpeg-blockiness/ Recent updates to the Python Package Index for torch-jpeg-blockiness en https://pypi.org/project/torch-jpeg-blockiness/1.0.4/ The higher the blockiness metric value, the more likely it is that the image was JPEG-compressed at a low quality. Re-implementation of blockiness from "Rethinking Image Super-Resolution from Training Data Perspectives" matej.ciglenecki@gmail.com Thu, 27 Feb 2025 21:28:15 GMT https://pypi.org/project/torch-jpeg-blockiness/1.0.3/ The higher the blockiness metric value, the more likely it is that the image was JPEG-compressed at a low quality. Re-implementation of blockiness from "Rethinking Image Super-Resolution from Training Data Perspectives" matej.ciglenecki@gmail.com Thu, 27 Feb 2025 21:21:47 GMT https://pypi.org/project/torch-jpeg-blockiness/1.0.1/ The higher the blockiness metric value, the more likely it is that the image was JPEG-compressed at a low quality. Re-implementation of blockiness from "Rethinking Image Super-Resolution from Training Data Perspectives" matej.ciglenecki@gmail.com Thu, 27 Feb 2025 21:19:32 GMT https://pypi.org/project/torch-jpeg-blockiness/1.0.0/ The higher the blockiness metric value, the more likely it is that the image was JPEG-compressed at a low quality. Re-implementation of blockiness from "Rethinking Image Super-Resolution from Training Data Perspectives" matej.ciglenecki@gmail.com Thu, 27 Feb 2025 21:06:00 GMT