#include <opencv2/tracking.hpp>
◆ Params()
cv::TrackerKCF::Params::Params |
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◆ compress_feature
bool cv::TrackerKCF::Params::compress_feature |
activate the pca method to compress the features
◆ compressed_size
int cv::TrackerKCF::Params::compressed_size |
feature size after compression
◆ desc_npca
int cv::TrackerKCF::Params::desc_npca |
◆ desc_pca
int cv::TrackerKCF::Params::desc_pca |
◆ detect_thresh
float cv::TrackerKCF::Params::detect_thresh |
detection confidence threshold
◆ interp_factor
float cv::TrackerKCF::Params::interp_factor |
linear interpolation factor for adaptation
◆ lambda
float cv::TrackerKCF::Params::lambda |
◆ max_patch_size
int cv::TrackerKCF::Params::max_patch_size |
threshold for the ROI size
◆ output_sigma_factor
float cv::TrackerKCF::Params::output_sigma_factor |
spatial bandwidth (proportional to target)
◆ pca_learning_rate
float cv::TrackerKCF::Params::pca_learning_rate |
compression learning rate
◆ resize
bool cv::TrackerKCF::Params::resize |
activate the resize feature to improve the processing speed
◆ sigma
float cv::TrackerKCF::Params::sigma |
gaussian kernel bandwidth
◆ split_coeff
bool cv::TrackerKCF::Params::split_coeff |
split the training coefficients into two matrices
◆ wrap_kernel
bool cv::TrackerKCF::Params::wrap_kernel |
wrap around the kernel values
The documentation for this struct was generated from the following file: