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46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
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#!/usr/bin/env python
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'''
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CUDA-accelerated Computer Vision functions
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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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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class cuda_test(NewOpenCVTests):
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def setUp(self):
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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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def test_cuda_upload_download(self):
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npMat = (np.random.random((200, 200, 3)) * 255).astype(np.uint8)
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gpuMat = cv.cuda_GpuMat()
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gpuMat.upload(npMat)
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self.assertTrue(np.allclose(gpuMat.download(), npMat))
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def test_cuda_imgproc_cvtColor(self):
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npMat = (np.random.random((200, 200, 3)) * 255).astype(np.uint8)
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gpuMat = cv.cuda_GpuMat()
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gpuMat.upload(npMat)
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gpuMat2 = cv.cuda.cvtColor(gpuMat, cv.COLOR_BGR2HSV)
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self.assertTrue(np.allclose(gpuMat2.download(), cv.cvtColor(npMat, cv.COLOR_BGR2HSV)))
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def test_cuda_filter_laplacian(self):
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npMat = (np.random.random((200, 200)) * 255).astype(np.uint16)
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gpuMat = cv.cuda_GpuMat()
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gpuMat.upload(npMat)
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gpuMat = cv.cuda.createLaplacianFilter(cv.CV_16UC1, -1, ksize=3).apply(gpuMat)
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self.assertTrue(np.allclose(gpuMat.download(), cv.Laplacian(npMat, cv.CV_16UC1, ksize=3)))
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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