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43 lines
1.0 KiB
Python
43 lines
1.0 KiB
Python
#!/usr/bin/env python
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import numpy as np
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import cv2 as cv
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from tests_common import NewOpenCVTests
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# Plaidml is an optional backend
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pkgs = [
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cv.gapi.core.ocl.kernels(),
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cv.gapi.core.cpu.kernels(),
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cv.gapi.core.fluid.kernels()
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# cv.gapi.core.plaidml.kernels()
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]
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class gapi_sample_pipelines(NewOpenCVTests):
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# NB: This test check multiple outputs for operation
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def test_mean_over_r(self):
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sz = (100, 100, 3)
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in_mat = np.random.randint(0, 100, sz).astype(np.uint8)
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# # OpenCV
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_, _, r_ch = cv.split(in_mat)
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expected = cv.mean(r_ch)
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# G-API
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g_in = cv.GMat()
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b, g, r = cv.gapi.split3(g_in)
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g_out = cv.gapi.mean(r)
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comp = cv.GComputation(g_in, g_out)
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for pkg in pkgs:
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actual = comp.apply(in_mat, args=cv.compile_args(pkg))
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# Comparison
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self.assertEqual(0.0, cv.norm(expected, actual, cv.NORM_INF))
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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