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Fixing warnings
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@@ -1200,6 +1200,9 @@ class CV_EXPORTS_W TrackerKCF : public Tracker
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public:
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/**
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* \brief Feature type to be used in the tracking grayscale, colornames, compressed color-names
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* The modes available now:
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- "GRAY" -- Use grayscale values as the feature
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- "CN" -- Color-names feature
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*/
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enum MODE {GRAY, CN, CN2};
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@@ -1207,22 +1210,6 @@ class CV_EXPORTS_W TrackerKCF : public Tracker
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{
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/**
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* \brief Constructor
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* \param sigma bandwidth of the gaussian kernel
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* \param lambda regularization coefficient
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* \param interp_factor inear interpolation factor for model updating
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* \param output_sigma_factor spatial bandwidth (proportional to target)
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* \param pca_learning_rate learning rate of the compression method
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* \param resize activate the resize feature to improve the processing speed
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* \param split_coeff split the training coefficients into two matrices
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* \param wrap_kernel wrap around the kernel values
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* \param compressFeature activate pca method to compress the features
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* \param max_patch_size threshold for the ROI size
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* \param compressed_size feature size after compression
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* \param descriptor descriptor type
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* The modes available now:
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- "GRAY" -- Use grayscale values as the feature
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- "CN" -- Color-names feature
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- "CN2" -- Compressed color-names feature
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*/
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Params();
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@@ -1244,7 +1231,7 @@ class CV_EXPORTS_W TrackerKCF : public Tracker
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bool resize; //!< activate the resize feature to improve the processing speed
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bool split_coeff; //!< split the training coefficients into two matrices
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bool wrap_kernel; //!< wrap around the kernel values
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bool compress_feature; //!< activate pca method to compress the features
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bool compress_feature; //!< activate the pca method to compress the features
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int max_patch_size; //!< threshold for the ROI size
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int compressed_size; //!< feature size after compression
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MODE descriptor; //!< descriptor type
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