OpenCV
3.4.9
Open Source Computer Vision
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#include <opencv2/tracking/tracker.hpp>
Public Member Functions | |
Params () | |
Constructor. More... | |
void | read (const FileNode &) |
Read parameters from a file. More... | |
void | write (FileStorage &) const |
Write parameters to a file. More... | |
Public Attributes | |
bool | compress_feature |
activate the pca method to compress the features More... | |
int | compressed_size |
feature size after compression More... | |
int | desc_npca |
non-compressed descriptors of TrackerKCF::MODE More... | |
int | desc_pca |
compressed descriptors of TrackerKCF::MODE More... | |
float | detect_thresh |
detection confidence threshold More... | |
float | interp_factor |
linear interpolation factor for adaptation More... | |
float | lambda |
regularization More... | |
int | max_patch_size |
threshold for the ROI size More... | |
float | output_sigma_factor |
spatial bandwidth (proportional to target) More... | |
float | pca_learning_rate |
compression learning rate More... | |
bool | resize |
activate the resize feature to improve the processing speed More... | |
float | sigma |
gaussian kernel bandwidth More... | |
bool | split_coeff |
split the training coefficients into two matrices More... | |
bool | wrap_kernel |
wrap around the kernel values More... | |
cv::TrackerKCF::Params::Params | ( | ) |
Constructor.
void cv::TrackerKCF::Params::read | ( | const FileNode & | ) |
Read parameters from a file.
void cv::TrackerKCF::Params::write | ( | FileStorage & | ) | const |
Write parameters to a file.
bool cv::TrackerKCF::Params::compress_feature |
activate the pca method to compress the features
int cv::TrackerKCF::Params::compressed_size |
feature size after compression
int cv::TrackerKCF::Params::desc_npca |
non-compressed descriptors of TrackerKCF::MODE
int cv::TrackerKCF::Params::desc_pca |
compressed descriptors of TrackerKCF::MODE
float cv::TrackerKCF::Params::detect_thresh |
detection confidence threshold
float cv::TrackerKCF::Params::interp_factor |
linear interpolation factor for adaptation
float cv::TrackerKCF::Params::lambda |
regularization
int cv::TrackerKCF::Params::max_patch_size |
threshold for the ROI size
float cv::TrackerKCF::Params::output_sigma_factor |
spatial bandwidth (proportional to target)
float cv::TrackerKCF::Params::pca_learning_rate |
compression learning rate
bool cv::TrackerKCF::Params::resize |
activate the resize feature to improve the processing speed
float cv::TrackerKCF::Params::sigma |
gaussian kernel bandwidth
bool cv::TrackerKCF::Params::split_coeff |
split the training coefficients into two matrices
bool cv::TrackerKCF::Params::wrap_kernel |
wrap around the kernel values