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36 lines
1.6 KiB
36 lines
1.6 KiB
import os |
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import cv2 as cv |
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import numpy as np |
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from tests_common import NewOpenCVTests, unittest |
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class nvidiaopticalflow_test(NewOpenCVTests): |
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def setUp(self): |
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super(nvidiaopticalflow_test, self).setUp() |
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if not cv.cuda.getCudaEnabledDeviceCount(): |
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self.skipTest("No CUDA-capable device is detected") |
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@unittest.skipIf('OPENCV_TEST_DATA_PATH' not in os.environ, |
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"OPENCV_TEST_DATA_PATH is not defined") |
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def test_calc(self): |
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frame1 = os.environ['OPENCV_TEST_DATA_PATH'] + '/gpu/opticalflow/frame0.png' |
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frame2 = os.environ['OPENCV_TEST_DATA_PATH'] + '/gpu/opticalflow/frame1.png' |
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npMat1 = cv.cvtColor(cv.imread(frame1),cv.COLOR_BGR2GRAY) |
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npMat2 = cv.cvtColor(cv.imread(frame2),cv.COLOR_BGR2GRAY) |
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cuMat1 = cv.cuda_GpuMat(npMat1) |
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cuMat2 = cv.cuda_GpuMat(npMat2) |
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try: |
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nvof = cv.cuda_NvidiaOpticalFlow_1_0.create(cuMat1.shape[1], cuMat1.shape[0], 5, False, False, False, 0) |
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flow = nvof.calc(cuMat1, cuMat2, None) |
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self.assertTrue(flow.shape[1] > 0 and flow.shape[0] > 0) |
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flowUpSampled = nvof.upSampler(flow[0], cuMat1.shape[1], cuMat1.shape[0], nvof.getGridSize(), None) |
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nvof.collectGarbage() |
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except cv.error as e: |
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if e.code == cv.Error.StsBadFunc or e.code == cv.Error.StsBadArg or e.code == cv.Error.StsNullPtr: |
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self.skipTest("Algorithm is not supported in the current environment") |
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self.assertTrue(flowUpSampled.shape[1] > 0 and flowUpSampled.shape[0] > 0) |
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if __name__ == '__main__': |
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NewOpenCVTests.bootstrap() |