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Merge pull request #22136 from sturkmen72:HOGDescriptor_update

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HOGDescriptor
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Alexander Smorkalov 2022-10-07 15:17:57 +03:00 committed by GitHub
commit 5b97f6abec
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2 changed files with 8 additions and 17 deletions
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21
modules/objdetect/include/opencv2/objdetect.hpp
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@ -374,7 +374,7 @@ http://www.learnopencv.com/histogram-of-oriented-gradients
http://www.learnopencv.com/handwritten-digits-classification-an-opencv-c-python-tutorial
*/
struct CV_EXPORTS_W HOGDescriptor
class CV_EXPORTS_W HOGDescriptor
{
public:
enum HistogramNormType { L2Hys = 0 //!< Default histogramNormType
@ -385,15 +385,6 @@ public:
/**@brief Creates the HOG descriptor and detector with default parameters.
aqual to HOGDescriptor(Size(64,128), Size(16,16), Size(8,8), Size(8,8), 9 )
*/
CV_WRAP HOGDescriptor() : winSize(64,128), blockSize(16,16), blockStride(8,8),
cellSize(8,8), nbins(9), derivAperture(1), winSigma(-1),
histogramNormType(HOGDescriptor::L2Hys), L2HysThreshold(0.2), gammaCorrection(true),
free_coef(-1.f), nlevels(HOGDescriptor::DEFAULT_NLEVELS), signedGradient(false)
{}
/** @overload
@param _winSize sets winSize with given value.
@param _blockSize sets blockSize with given value.
@param _blockStride sets blockStride with given value.
@ -407,11 +398,11 @@ public:
@param _nlevels sets nlevels with given value.
@param _signedGradient sets signedGradient with given value.
*/
CV_WRAP HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride,
Size _cellSize, int _nbins, int _derivAperture=1, double _winSigma=-1,
HOGDescriptor::HistogramNormType _histogramNormType=HOGDescriptor::L2Hys,
double _L2HysThreshold=0.2, bool _gammaCorrection=false,
int _nlevels=HOGDescriptor::DEFAULT_NLEVELS, bool _signedGradient=false)
CV_WRAP HOGDescriptor(Size _winSize = Size(64, 128), Size _blockSize = Size(16, 16), Size _blockStride = Size(8, 8),
Size _cellSize = Size(8, 8), int _nbins = 9, int _derivAperture = 1, double _winSigma = -1,
HOGDescriptor::HistogramNormType _histogramNormType = HOGDescriptor::L2Hys,
double _L2HysThreshold = 0.2, bool _gammaCorrection = true,
int _nlevels = HOGDescriptor::DEFAULT_NLEVELS, bool _signedGradient = false)
: winSize(_winSize), blockSize(_blockSize), blockStride(_blockStride), cellSize(_cellSize),
nbins(_nbins), derivAperture(_derivAperture), winSigma(_winSigma),
histogramNormType(_histogramNormType), L2HysThreshold(_L2HysThreshold),

4
modules/objdetect/misc/python/test/test_peopledetect.py
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@ -21,8 +21,8 @@ from tests_common import NewOpenCVTests, intersectionRate
class peopledetect_test(NewOpenCVTests):
def test_peopledetect(self):
hog = cv.HOGDescriptor()
hog.setSVMDetector( cv.HOGDescriptor_getDefaultPeopleDetector() )
hog = cv.HOGDescriptor( (48, 96) )
hog.setSVMDetector( cv.HOGDescriptor_getDaimlerPeopleDetector() )
dirPath = 'samples/data/'
samples = ['basketball1.png', 'basketball2.png']