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Merge pull request #26026 from Abdurrahheem:ash/python_bool_binding

Add support for boolan input/outputs in python bindings #26026

This PR add support boolean input/output binding in python. The issue what mention in ticket https://github.com/opencv/opencv/issues/26024 and the PR soleves it. Data and models are located in [here](https://github.com/opencv/opencv_extra/pull/1201)

### 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
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
This commit is contained in:
Abduragim Shtanchaev
2024-08-20 17:38:21 +04:00
committed by GitHub
parent 7e8f2a1bc4
commit 45fd4d8217
7 changed files with 36 additions and 5 deletions
+19
View File
@@ -546,5 +546,24 @@ class dnn_test(NewOpenCVTests):
out = net.forward()
self.assertEqual(out.shape, (1, 2, 3, 4))
def test_bool_operator(self):
n = self.find_dnn_file('dnn/onnx/models/and_op.onnx')
x = np.random.randint(0, 2, [5], dtype=np.bool_)
y = np.random.randint(0, 2, [5], dtype=np.bool_)
o = x & y
net = cv.dnn.readNet(n)
names = ["x", "y"]
net.setInputsNames(names)
net.setInput(x, names[0])
net.setInput(y, names[1])
out = net.forward()
self.assertTrue(np.all(out == o))
if __name__ == '__main__':
NewOpenCVTests.bootstrap()