Image processing
Digital image processing is the use of algorithms to make computers analyze the content of digital images.
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There is a set of Pixel Level transforms that is used in the work Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
The authors also share the code => we can absorb some transforms that they have into the library.
https://github.com/hendrycks/robustness/blob/master/ImageNet-C/create_c/make_imagenet_c.py
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A follow up on SixLabors/ImageSharp#1378 (comment).
Currently 32 bit test execution is only done for .NET Framework, with dotnet xunit which is an obsolete tool today, we need to adapt dotnet test, and add 32 bit CI targets for both net5.0 and netcoreapp3.1. Opening an issue to remember and track this debt.
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Description
The shape parameter in disk documentation (and maybe others using the same machinery) seems misleading to me. Based on the following phrasing, I would expect shape=None and the shape=dimensions_of_my_disk to lead to equal results. (but it doesn't)
Image shape which is used to determine the maximum extent
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System information (version)
Detailed description
The documentation for color conversions does not explain what _FULL does, e.g. https://docs.opencv.org/4.5.0/d8/d01/group__imgproc__color__conversions.html#gga4e0972be5de079fed4e3a10e24ef5ef0ae0070d7e97f1e565cc0992d038e5498e
I believe this should be explained for each color conversion as there are different inter