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Merge pull request #22136 from sturkmen72:HOGDescriptor_update
HOGDescriptor
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commit
5b97f6abec
@ -374,7 +374,7 @@ http://www.learnopencv.com/histogram-of-oriented-gradients
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http://www.learnopencv.com/handwritten-digits-classification-an-opencv-c-python-tutorial
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http://www.learnopencv.com/handwritten-digits-classification-an-opencv-c-python-tutorial
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*/
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*/
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struct CV_EXPORTS_W HOGDescriptor
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class CV_EXPORTS_W HOGDescriptor
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{
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{
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public:
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public:
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enum HistogramNormType { L2Hys = 0 //!< Default histogramNormType
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enum HistogramNormType { L2Hys = 0 //!< Default histogramNormType
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@ -385,15 +385,6 @@ public:
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/**@brief Creates the HOG descriptor and detector with default parameters.
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/**@brief Creates the HOG descriptor and detector with default parameters.
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aqual to HOGDescriptor(Size(64,128), Size(16,16), Size(8,8), Size(8,8), 9 )
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*/
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CV_WRAP HOGDescriptor() : winSize(64,128), blockSize(16,16), blockStride(8,8),
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cellSize(8,8), nbins(9), derivAperture(1), winSigma(-1),
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histogramNormType(HOGDescriptor::L2Hys), L2HysThreshold(0.2), gammaCorrection(true),
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free_coef(-1.f), nlevels(HOGDescriptor::DEFAULT_NLEVELS), signedGradient(false)
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{}
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/** @overload
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@param _winSize sets winSize with given value.
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@param _winSize sets winSize with given value.
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@param _blockSize sets blockSize with given value.
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@param _blockSize sets blockSize with given value.
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@param _blockStride sets blockStride with given value.
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@param _blockStride sets blockStride with given value.
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@ -407,11 +398,11 @@ public:
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@param _nlevels sets nlevels with given value.
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@param _nlevels sets nlevels with given value.
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@param _signedGradient sets signedGradient with given value.
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@param _signedGradient sets signedGradient with given value.
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*/
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*/
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CV_WRAP HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride,
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CV_WRAP HOGDescriptor(Size _winSize = Size(64, 128), Size _blockSize = Size(16, 16), Size _blockStride = Size(8, 8),
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Size _cellSize, int _nbins, int _derivAperture=1, double _winSigma=-1,
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Size _cellSize = Size(8, 8), int _nbins = 9, int _derivAperture = 1, double _winSigma = -1,
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HOGDescriptor::HistogramNormType _histogramNormType=HOGDescriptor::L2Hys,
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HOGDescriptor::HistogramNormType _histogramNormType = HOGDescriptor::L2Hys,
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double _L2HysThreshold=0.2, bool _gammaCorrection=false,
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double _L2HysThreshold = 0.2, bool _gammaCorrection = true,
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int _nlevels=HOGDescriptor::DEFAULT_NLEVELS, bool _signedGradient=false)
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int _nlevels = HOGDescriptor::DEFAULT_NLEVELS, bool _signedGradient = false)
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: winSize(_winSize), blockSize(_blockSize), blockStride(_blockStride), cellSize(_cellSize),
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: winSize(_winSize), blockSize(_blockSize), blockStride(_blockStride), cellSize(_cellSize),
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nbins(_nbins), derivAperture(_derivAperture), winSigma(_winSigma),
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nbins(_nbins), derivAperture(_derivAperture), winSigma(_winSigma),
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histogramNormType(_histogramNormType), L2HysThreshold(_L2HysThreshold),
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histogramNormType(_histogramNormType), L2HysThreshold(_L2HysThreshold),
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@ -21,8 +21,8 @@ from tests_common import NewOpenCVTests, intersectionRate
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class peopledetect_test(NewOpenCVTests):
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class peopledetect_test(NewOpenCVTests):
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def test_peopledetect(self):
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def test_peopledetect(self):
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hog = cv.HOGDescriptor()
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hog = cv.HOGDescriptor( (48, 96) )
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hog.setSVMDetector( cv.HOGDescriptor_getDefaultPeopleDetector() )
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hog.setSVMDetector( cv.HOGDescriptor_getDaimlerPeopleDetector() )
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dirPath = 'samples/data/'
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dirPath = 'samples/data/'
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samples = ['basketball1.png', 'basketball2.png']
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samples = ['basketball1.png', 'basketball2.png']
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