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| author | Théo de la Hogue | 2023-03-14 09:04:20 +0100 |
|---|---|---|
| committer | Théo de la Hogue | 2023-03-14 09:04:20 +0100 |
| commit | ae34dc4d35ac52277fd69e211ee835edd7d31929 (patch) | |
| tree | 94b8caf1842bcf06662cabe1febc950ffb515c3f /src/argaze.test | |
| parent | 67405a9de1f50a1ae2d05485af7ca9a365029035 (diff) | |
| download | argaze-ae34dc4d35ac52277fd69e211ee835edd7d31929.zip argaze-ae34dc4d35ac52277fd69e211ee835edd7d31929.tar.gz argaze-ae34dc4d35ac52277fd69e211ee835edd7d31929.tar.bz2 argaze-ae34dc4d35ac52277fd69e211ee835edd7d31929.tar.xz | |
Skipping test if no cuda device is detected.
Diffstat (limited to 'src/argaze.test')
| -rw-r--r-- | src/argaze.test/OpenCVCuda.py | 10 |
1 files changed, 6 insertions, 4 deletions
diff --git a/src/argaze.test/OpenCVCuda.py b/src/argaze.test/OpenCVCuda.py index fd28abf..3b5b657 100644 --- a/src/argaze.test/OpenCVCuda.py +++ b/src/argaze.test/OpenCVCuda.py @@ -9,10 +9,7 @@ import os class cuda_test(unittest.TestCase): """Test Cuda-accelerated OpenCV functions class.""" - def test_setup(self): - - self.assertGreater(cv.cuda.getCudaEnabledDeviceCount(), 0) - + @unittest.skipIf(cv.cuda.getCudaEnabledDeviceCount() == 0, "No cuda device found") def test_cuda_upload_download(self): npMat = (np.random.random((128, 128, 3)) * 255).astype(np.uint8) @@ -21,6 +18,7 @@ class cuda_test(unittest.TestCase): self.assertTrue(np.allclose(cuMat.download(), npMat)) + @unittest.skipIf(cv.cuda.getCudaEnabledDeviceCount() == 0, "No cuda device found") def test_cuda_upload_download_stream(self): stream = cv.cuda_Stream() @@ -32,6 +30,7 @@ class cuda_test(unittest.TestCase): self.assertTrue(np.allclose(npMat2, npMat)) + @unittest.skipIf(cv.cuda.getCudaEnabledDeviceCount() == 0, "No cuda device found") def test_cuda_interop(self): npMat = (np.random.random((128, 128, 3)) * 255).astype(np.uint8) @@ -46,6 +45,7 @@ class cuda_test(unittest.TestCase): asyncstream = cv.cuda_Stream(1) # cudaStreamNonBlocking self.assertTrue(asyncstream.cudaPtr() != 0) + @unittest.skipIf(cv.cuda.getCudaEnabledDeviceCount() == 0, "No cuda device found") def test_cuda_buffer_pool(self): cv.cuda.setBufferPoolUsage(True) @@ -58,6 +58,7 @@ class cuda_test(unittest.TestCase): self.assertEqual(cuMat.size(), (1024, 1024)) self.assertEqual(cuMat.type(), cv.CV_8UC3) + @unittest.skipIf(cv.cuda.getCudaEnabledDeviceCount() == 0, "No cuda device found") def test_cuda_release(self): npMat = (np.random.random((128, 128, 3)) * 255).astype(np.uint8) @@ -69,6 +70,7 @@ class cuda_test(unittest.TestCase): self.assertTrue(cuMat.step == 0) self.assertTrue(cuMat.size() == (0, 0)) + @unittest.skipIf(cv.cuda.getCudaEnabledDeviceCount() == 0, "No cuda device found") def test_cuda_denoising(self): self.assertEqual(True, hasattr(cv.cuda, 'fastNlMeansDenoising')) |