I'm using this project to train my segmentation model. I find that the mask has a right-down offset to the image. Because the opencv resize_nearest is wrong. Please refer the opencv project issue:
https://github.com/opencv/opencv/issues/9096
https://github.com/opencv/opencv/issues/10146

The code of opencv is:
` for( x = 0; x < dsize.width; x++ )
{
int sx = cv

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.

See:
https://twitter.com/tannergooding/s

Description

There was a badass paper last year that unified and generalized Otsu and other thresholding methods ([arXiv]).

As usual, since it's a new algorithm the argument can be made that we should wait to see it in practice, but my gut feeling is that (a) it's really good, and (b) it's a generalization of an existing algorithm that we have in the library, so it does not add much code,

The most of modules are lacking very useful __repr__ function. I am leaving this issue open until we catch-up.

• create list of missing __repr__ s
• fix all the old functions
• add some test to lint to require __repr__ existence