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Merge pull request #3787 from fengyuentau:imgproc/warpaffine_opt

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slightly alter threshold for warpAffine optimization #3787

Merge with https://github.com/opencv/opencv/pull/25984

New`onfusionMatrixes[1]` is

```
[[45  0  0  0  0  0  0  0  0  0]
 [ 0 57  0  0  0  0  0  0  0  0]
 [ 0  0 58  2  0  0  0  0  1  0]
 [ 0  0  0 43  0  0  0  1  0  0]
 [ 0  0  0  0 39  0  0  0  0  1]
 [ 0  0  0  1  0 49  0  0  1  0]
 [ 0  0  0  0  0  0 52  0  0  0]
 [ 0  0  1  0  0  0  0 54  0  0]
 [ 0  0  0  0  0  0  0  0 47  0]
 [ 0  1  0  1  0  0  0  0  2 44]]
```
which is about of pixel value 1 shift in each 4x or 5x pixel value.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
This commit is contained in:
Yuantao Feng
2024-10-04 16:02:20 +08:00
committed by GitHub
parent a5d5e930e9
commit 29d78749dd
2 changed files with 5 additions and 5 deletions
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6
modules/ml/misc/python/test/test_digits.py
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@@ -166,7 +166,7 @@ class digits_test(NewOpenCVTests):
confusionMatrixes.append(confusion)
eps = 0.001
normEps = len(samples_test) * 0.02
normEps = len(samples_test) * 0.03
confusionKNN = [[45, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 57, 0, 0, 0, 0, 0, 0, 0, 0],
@@ -193,8 +193,8 @@ class digits_test(NewOpenCVTests):
self.assertLess(cv.norm(confusionMatrixes[0] - confusionKNN, cv.NORM_L1), normEps)
self.assertLess(cv.norm(confusionMatrixes[1] - confusionSVM, cv.NORM_L1), normEps)
self.assertLess(errors[0] - 0.034, eps)
self.assertLess(errors[1] - 0.018, eps)
self.assertLess(errors[0] - 0.038, eps)
self.assertLess(errors[1] - 0.024, eps)
if __name__ == '__main__':