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high performance image loading and augmenting routines mimicking PIL.Image interface

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I run conda install -c conda-forge accimage I get PackagesNotFoundError: The following packages are not available from current channels: - accimage Current channels: - https://conda.anaconda.org/conda-forge/osx-64 - https://conda.anaconda.org/conda-forge/noarch - https://repo.anaconda.com/pkgs/main/osx-64 -...

Could you make it pip installable? None from [here](https://pypi.org/search/?q=accimage).

How much faster is `accimage` than `Pillow{,-SIMD}`? Some rough numbers, even say a single sentence in the root README, would be helpful. FWIW Pillow has some benchmarks here: https://python-pillow.org/pillow-perf/

window system can't able to install accimage

Are there any plans to offer PNG support?

Installing and switching to the accimage backend breaks my `transforms.RandomResizedCrop`. The fix I've found is modifying `crop()` in `torchvisions.transforms.functional` so that it does `img.crop((int(j), int(i), int(j + w), int(i +...

Hi, I was writing some augmentation transforms and I noticed that all operations are done in place. I forked and added a .copy() method for my use, but I wonder...

When loading graysacle images by accimage.Image('a.jpg'), it outputs 3 channels images instead of 1. Any plan to fix it? Thanks.

command is ‘conda install -c conda-forge accimage ’