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
- ShotNoise
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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