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93 lines
3.4 KiB
93 lines
3.4 KiB
#!/usr/bin/env python |
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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 cudaimgproc_test(NewOpenCVTests): |
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def setUp(self): |
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super(cudaimgproc_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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def test_cudaimgproc(self): |
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npC1 = (np.random.random((128, 128)) * 255).astype(np.uint8) |
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npC3 = (np.random.random((128, 128, 3)) * 255).astype(np.uint8) |
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npC4 = (np.random.random((128, 128, 4)) * 255).astype(np.uint8) |
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cuC1 = cv.cuda_GpuMat() |
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cuC3 = cv.cuda_GpuMat() |
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cuC4 = cv.cuda_GpuMat() |
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cuC1.upload(npC1) |
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cuC3.upload(npC3) |
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cuC4.upload(npC4) |
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cv.cuda.cvtColor(cuC3, cv.COLOR_RGB2HSV) |
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cv.cuda.demosaicing(cuC1, cv.cuda.COLOR_BayerGR2BGR_MHT) |
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cv.cuda.gammaCorrection(cuC3) |
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cv.cuda.alphaComp(cuC4, cuC4, cv.cuda.ALPHA_XOR) |
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cv.cuda.calcHist(cuC1) |
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cv.cuda.equalizeHist(cuC1) |
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cv.cuda.evenLevels(3, 0, 255) |
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cv.cuda.meanShiftFiltering(cuC4, 10, 5) |
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cv.cuda.meanShiftProc(cuC4, 10, 5) |
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cv.cuda.bilateralFilter(cuC3, 3, 16, 3) |
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cv.cuda.blendLinear |
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cuRes = cv.cuda.meanShiftSegmentation(cuC4, 10, 5, 5) |
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cuDst = cv.cuda_GpuMat(cuC4.size(),cuC4.type()) |
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cv.cuda.meanShiftSegmentation(cuC4, 10, 5, 5, cuDst) |
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self.assertTrue(np.allclose(cuRes.download(),cuDst.download())) |
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clahe = cv.cuda.createCLAHE() |
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clahe.apply(cuC1, cv.cuda_Stream.Null()) |
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histLevels = cv.cuda.histEven(cuC3, 20, 0, 255) |
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cv.cuda.histRange(cuC1, histLevels) |
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detector = cv.cuda.createCannyEdgeDetector(0, 100) |
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detector.detect(cuC1) |
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detector = cv.cuda.createHoughLinesDetector(3, np.pi / 180, 20) |
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detector.detect(cuC1) |
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detector = cv.cuda.createHoughSegmentDetector(3, np.pi / 180, 20, 5) |
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detector.detect(cuC1) |
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detector = cv.cuda.createHoughCirclesDetector(3, 20, 10, 10, 20, 100) |
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detector.detect(cuC1) |
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detector = cv.cuda.createGeneralizedHoughBallard() |
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#BUG: detect accept only Mat! |
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#Even if generate_gpumat_decls is set to True, it only wraps overload CUDA functions. |
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#The problem is that Mat and GpuMat are not fully compatible to enable system-wide overloading |
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#detector.detect(cuC1, cuC1, cuC1) |
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detector = cv.cuda.createGeneralizedHoughGuil() |
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#BUG: same as above.. |
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#detector.detect(cuC1, cuC1, cuC1) |
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detector = cv.cuda.createHarrisCorner(cv.CV_8UC1, 15, 5, 1) |
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detector.compute(cuC1) |
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detector = cv.cuda.createMinEigenValCorner(cv.CV_8UC1, 15, 5, 1) |
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detector.compute(cuC1) |
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detector = cv.cuda.createGoodFeaturesToTrackDetector(cv.CV_8UC1) |
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detector.detect(cuC1) |
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matcher = cv.cuda.createTemplateMatching(cv.CV_8UC1, cv.TM_CCOEFF_NORMED) |
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matcher.match(cuC3, cuC3) |
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self.assertTrue(True) #It is sufficient that no exceptions have been there |
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def test_cvtColor(self): |
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npMat = (np.random.random((128, 128, 3)) * 255).astype(np.uint8) |
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cuMat = cv.cuda_GpuMat() |
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cuMat.upload(npMat) |
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self.assertTrue(np.allclose(cv.cuda.cvtColor(cuMat, cv.COLOR_BGR2HSV).download(), |
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cv.cvtColor(npMat, cv.COLOR_BGR2HSV))) |
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if __name__ == '__main__': |
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NewOpenCVTests.bootstrap() |