fixed build errors in bgfg_gmg
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2a1e8e3efd
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941897aa3d
@ -251,7 +251,7 @@ private:
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int frameNum_;
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cv::Mat_<int> nfeatures_;
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cv::Mat_<uint> colors_;
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cv::Mat_<unsigned int> colors_;
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cv::Mat_<float> weights_;
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cv::Mat buf_;
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@ -91,7 +91,7 @@ void cv::BackgroundSubtractorGMG::initialize(cv::Size frameSize, double min, dou
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namespace
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{
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float findFeature(uint color, const uint* colors, const float* weights, int nfeatures)
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float findFeature(unsigned int color, const unsigned int* colors, const float* weights, int nfeatures)
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{
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for (int i = 0; i < nfeatures; ++i)
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{
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@ -116,7 +116,7 @@ namespace
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}
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}
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bool insertFeature(uint color, float weight, uint* colors, float* weights, int& nfeatures, int maxFeatures)
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bool insertFeature(unsigned int color, float weight, unsigned int* colors, float* weights, int& nfeatures, int maxFeatures)
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{
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int idx = -1;
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for (int i = 0; i < nfeatures; ++i)
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@ -134,7 +134,7 @@ namespace
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{
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// move feature to beginning of list
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::memmove(colors + 1, colors, idx * sizeof(uint));
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::memmove(colors + 1, colors, idx * sizeof(unsigned int));
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::memmove(weights + 1, weights, idx * sizeof(float));
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colors[0] = color;
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@ -144,7 +144,7 @@ namespace
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{
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// discard oldest feature
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::memmove(colors + 1, colors, (nfeatures - 1) * sizeof(uint));
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::memmove(colors + 1, colors, (nfeatures - 1) * sizeof(unsigned int));
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::memmove(weights + 1, weights, (nfeatures - 1) * sizeof(float));
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colors[0] = color;
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@ -168,12 +168,12 @@ namespace
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{
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template <typename T> struct Quantization
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{
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static uint apply(const void* src_, int x, int cn, double minVal, double maxVal, int quantizationLevels)
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static unsigned int apply(const void* src_, int x, int cn, double minVal, double maxVal, int quantizationLevels)
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{
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const T* src = static_cast<const T*>(src_);
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src += x * cn;
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uint res = 0;
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unsigned int res = 0;
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for (int i = 0, shift = 0; i < cn; ++i, ++src, shift += 8)
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res |= static_cast<int>((*src - minVal) * quantizationLevels / (maxVal - minVal)) << shift;
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@ -184,7 +184,7 @@ namespace
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class GMG_LoopBody : public cv::ParallelLoopBody
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{
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public:
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GMG_LoopBody(const cv::Mat& frame, const cv::Mat& fgmask, const cv::Mat_<int>& nfeatures, const cv::Mat_<uint>& colors, const cv::Mat_<float>& weights,
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GMG_LoopBody(const cv::Mat& frame, const cv::Mat& fgmask, const cv::Mat_<int>& nfeatures, const cv::Mat_<unsigned int>& colors, const cv::Mat_<float>& weights,
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int maxFeatures, double learningRate, int numInitializationFrames, int quantizationLevels, double backgroundPrior, double decisionThreshold,
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double maxVal, double minVal, int frameNum, bool updateBackgroundModel) :
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frame_(frame), fgmask_(fgmask), nfeatures_(nfeatures), colors_(colors), weights_(weights),
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@ -202,7 +202,7 @@ namespace
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mutable cv::Mat_<uchar> fgmask_;
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mutable cv::Mat_<int> nfeatures_;
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mutable cv::Mat_<uint> colors_;
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mutable cv::Mat_<unsigned int> colors_;
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mutable cv::Mat_<float> weights_;
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int maxFeatures_;
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@ -220,7 +220,7 @@ namespace
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void GMG_LoopBody::operator() (const cv::Range& range) const
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{
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typedef uint (*func_t)(const void* src_, int x, int cn, double minVal, double maxVal, int quantizationLevels);
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typedef unsigned int (*func_t)(const void* src_, int x, int cn, double minVal, double maxVal, int quantizationLevels);
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static const func_t funcs[] =
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{
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Quantization<uchar>::apply,
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@ -246,10 +246,10 @@ namespace
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for (int x = 0; x < frame_.cols; ++x, ++featureIdx)
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{
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int nfeatures = nfeatures_row[x];
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uint* colors = colors_[featureIdx];
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unsigned int* colors = colors_[featureIdx];
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float* weights = weights_[featureIdx];
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uint newFeatureColor = func(frame_row, x, cn, minVal_, maxVal_, quantizationLevels_);
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unsigned int newFeatureColor = func(frame_row, x, cn, minVal_, maxVal_, quantizationLevels_);
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bool isForeground = false;
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