Struct cv::TrackerKCF::Params#

Collaboration diagram for cv::TrackerKCF::Params:

cv::TrackerKCF::Params Node1 cv::TrackerKCF::Params   + Params() Node2 float     Node2->Node1 +detect_thresh +interp_factor +lambda +output_sigma_factor +pca_learning_rate +sigma Node3 bool     Node3->Node1 +compress_feature +resize +split_coeff +wrap_kernel Node4 int     Node4->Node1 +compressed_size +desc_npca +desc_pca +max_patch_size

cv::TrackerKCF::Params Node1 cv::TrackerKCF::Params   + Params() Node2 float     Node2->Node1 +detect_thresh +interp_factor +lambda +output_sigma_factor +pca_learning_rate +sigma Node3 bool     Node3->Node1 +compress_feature +resize +split_coeff +wrap_kernel Node4 int     Node4->Node1 +compressed_size +desc_npca +desc_pca +max_patch_size

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: