Struct cv::TrackerKCF::Params#
#include <opencv2/tracking.hpp>Collaboration diagram for cv::TrackerKCF::Params:
Constructor & Destructor Documentation#
Params()#
cv::TrackerKCF::Params::Params()
Python:
cv.TrackerKCF.Params() -> <TrackerKCF_Params object>
Member Data Documentation#
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
non-compressed descriptors of TrackerKCF::MODE
desc_pca#
int cv::TrackerKCF::Params::desc_pca
compressed descriptors of TrackerKCF::MODE
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
regularization
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
Source file#
The documentation for this struct was generated from the following file:
opencv2/tracking.hpp