Implement cv.gin and multiple output for python
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@@ -33,7 +33,7 @@ class gapi_core_test(NewOpenCVTests):
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comp = cv.GComputation(cv.GIn(g_in1, g_in2), cv.GOut(g_out))
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for pkg in pkgs:
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actual = comp.apply(in1, in2, args=cv.compile_args(pkg))
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actual = comp.apply(cv.gin(in1, in2), 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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@@ -51,10 +51,51 @@ class gapi_core_test(NewOpenCVTests):
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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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actual = comp.apply(cv.gin(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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def test_split3(self):
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sz = (1280, 720, 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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expected = cv.split(in_mat)
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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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comp = cv.GComputation(cv.GIn(g_in), cv.GOut(b, g, r))
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for pkg in pkgs:
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actual = comp.apply(cv.gin(in_mat), args=cv.compile_args(pkg))
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# Comparison
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for e, a in zip(expected, actual):
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self.assertEqual(0.0, cv.norm(e, a, cv.NORM_INF))
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def test_threshold(self):
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sz = (1280, 720)
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in_mat = np.random.randint(0, 100, sz).astype(np.uint8)
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rand_int = np.random.randint(0, 50)
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maxv = (rand_int, rand_int)
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# OpenCV
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expected_thresh, expected_mat = cv.threshold(in_mat, maxv[0], maxv[0], cv.THRESH_TRIANGLE)
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# G-API
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g_in = cv.GMat()
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g_sc = cv.GScalar()
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mat, threshold = cv.gapi.threshold(g_in, g_sc, cv.THRESH_TRIANGLE)
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comp = cv.GComputation(cv.GIn(g_in, g_sc), cv.GOut(mat, threshold))
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for pkg in pkgs:
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actual_mat, actual_thresh = comp.apply(cv.gin(in_mat, maxv), args=cv.compile_args(pkg))
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# Comparison
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self.assertEqual(0.0, cv.norm(expected_mat, actual_mat, cv.NORM_INF))
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self.assertEqual(expected_thresh, actual_thresh[0])
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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@@ -33,7 +33,7 @@ class gapi_sample_pipelines(NewOpenCVTests):
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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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actual = comp.apply(cv.gin(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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