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added the signedGradient varaible to the HOGDescriptor class.

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when true, use signed gradient for the angular histogram computation.
default to false for backward compatibility.
This commit is contained in:
Michaël Sdika
2015-05-10 09:23:30 +02:00
parent a31b29308f
commit ab40c2acf7
2 changed files with 23 additions and 16 deletions
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7
modules/objdetect/include/opencv2/objdetect.hpp
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@@ -345,18 +345,18 @@ public:
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)
free_coef(-1.f), nlevels(HOGDescriptor::DEFAULT_NLEVELS), signedGradient(false)
{}
CV_WRAP HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride,
Size _cellSize, int _nbins, int _derivAperture=1, double _winSigma=-1,
int _histogramNormType=HOGDescriptor::L2Hys,
double _L2HysThreshold=0.2, bool _gammaCorrection=false,
int _nlevels=HOGDescriptor::DEFAULT_NLEVELS)
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),
gammaCorrection(_gammaCorrection), free_coef(-1.f), nlevels(_nlevels)
gammaCorrection(_gammaCorrection), free_coef(-1.f), nlevels(_nlevels), signedGradient(_signedGradient)
{}
CV_WRAP HOGDescriptor(const String& filename)
@@ -432,6 +432,7 @@ public:
UMat oclSvmDetector;
float free_coef;
CV_PROP int nlevels;
CV_PROP bool signedGradient;
//! evaluate specified ROI and return confidence value for each location