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#!/usr/bin/env python
import os
import cv2 as cv
import numpy as np
from tests_common import NewOpenCVTests, unittest
class cudaimgproc_test(NewOpenCVTests):
def setUp(self):
super(cudaimgproc_test, self).setUp()
if not cv.cuda.getCudaEnabledDeviceCount():
self.skipTest("No CUDA-capable device is detected")
def test_cudaimgproc(self):
npC1 = (np.random.random((128, 128)) * 255).astype(np.uint8)
npC3 = (np.random.random((128, 128, 3)) * 255).astype(np.uint8)
npC4 = (np.random.random((128, 128, 4)) * 255).astype(np.uint8)
cuC1 = cv.cuda_GpuMat()
cuC3 = cv.cuda_GpuMat()
cuC4 = cv.cuda_GpuMat()
cuC1.upload(npC1)
cuC3.upload(npC3)
cuC4.upload(npC4)
cv.cuda.cvtColor(cuC3, cv.COLOR_RGB2HSV)
cv.cuda.demosaicing(cuC1, cv.cuda.COLOR_BayerGR2BGR_MHT)
cv.cuda.gammaCorrection(cuC3)
cv.cuda.alphaComp(cuC4, cuC4, cv.cuda.ALPHA_XOR)
cv.cuda.calcHist(cuC1)
cv.cuda.equalizeHist(cuC1)
cv.cuda.evenLevels(3, 0, 255)
cv.cuda.meanShiftFiltering(cuC4, 10, 5)
cv.cuda.meanShiftProc(cuC4, 10, 5)
cv.cuda.bilateralFilter(cuC3, 3, 16, 3)
cv.cuda.blendLinear
cuRes = cv.cuda.meanShiftSegmentation(cuC4, 10, 5, 5)
cuDst = cv.cuda_GpuMat(cuC4.size(),cuC4.type())
cv.cuda.meanShiftSegmentation(cuC4, 10, 5, 5, cuDst)
self.assertTrue(np.allclose(cuRes.download(),cuDst.download()))
clahe = cv.cuda.createCLAHE()
clahe.apply(cuC1, cv.cuda_Stream.Null())
histLevels = cv.cuda.histEven(cuC3, 20, 0, 255)
cv.cuda.histRange(cuC1, histLevels)
detector = cv.cuda.createCannyEdgeDetector(0, 100)
detector.detect(cuC1)
detector = cv.cuda.createHoughLinesDetector(3, np.pi / 180, 20)
detector.detect(cuC1)
detector = cv.cuda.createHoughSegmentDetector(3, np.pi / 180, 20, 5)
detector.detect(cuC1)
detector = cv.cuda.createHoughCirclesDetector(3, 20, 10, 10, 20, 100)
detector.detect(cuC1)
detector = cv.cuda.createGeneralizedHoughBallard()
#BUG: detect accept only Mat!
#Even if generate_gpumat_decls is set to True, it only wraps overload CUDA functions.
#The problem is that Mat and GpuMat are not fully compatible to enable system-wide overloading
#detector.detect(cuC1, cuC1, cuC1)
detector = cv.cuda.createGeneralizedHoughGuil()
#BUG: same as above..
#detector.detect(cuC1, cuC1, cuC1)
detector = cv.cuda.createHarrisCorner(cv.CV_8UC1, 15, 5, 1)
detector.compute(cuC1)
detector = cv.cuda.createMinEigenValCorner(cv.CV_8UC1, 15, 5, 1)
detector.compute(cuC1)
detector = cv.cuda.createGoodFeaturesToTrackDetector(cv.CV_8UC1)
detector.detect(cuC1)
matcher = cv.cuda.createTemplateMatching(cv.CV_8UC1, cv.TM_CCOEFF_NORMED)
matcher.match(cuC3, cuC3)
self.assertTrue(True) #It is sufficient that no exceptions have been there
def test_cvtColor(self):
npMat = (np.random.random((128, 128, 3)) * 255).astype(np.uint8)
cuMat = cv.cuda_GpuMat()
cuMat.upload(npMat)
self.assertTrue(np.allclose(cv.cuda.cvtColor(cuMat, cv.COLOR_BGR2HSV).download(),
cv.cvtColor(npMat, cv.COLOR_BGR2HSV)))
if __name__ == '__main__':
NewOpenCVTests.bootstrap()
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