OCVConfig.cpp File Reference

#include "OCVConfig.h"

Include dependency graph for OCVConfig.cpp:

Functions
const cv::Size	subPixWinSize (10, 10)
const cv::Size	winSize (31, 31)
	Window size to use in optical flow search.
cv::TermCriteria	termcrit (cv::TermCriteria::COUNT|cv::TermCriteria::EPS, 20, 0.03)
const cv::Size	featureImageMinSize (640, 480)
	Minimum size when downscaling incoming images used for feature tracking.
cv::RNG	rng (0xFFFFFFFF)

Variables
int	minRequiredDetectedFeatures = 50
	Minimum number of detected features required to consider a target matched.
const int	markerTemplateWidth = 15
	Width in pixels of image patches used in template matching.
const int	markerTemplateCountMax = 300
	Maximum number of Harris corners to use as template locations. If <= 0, no limit on the maximum is set and all detected corners will be used.
const int	searchRadius = 15
const int	match_method = cv::TM_SQDIFF_NORMED
PlanarTracker::FeatureDetectorType	defaultDetectorType = PlanarTracker::FeatureDetectorType::Akaze
const double	nn_match_ratio = 0.8f
	Nearest-neighbour matching ratio.
double	ransac_thresh = 2.5f
	RANSAC inlier threshold.
const int	harrisBorder = 10
	Harris corners within this many pixels of the border of the image will be ignored.

Function Documentation

featureImageMinSize()

const cv::Size featureImageMinSize	(	640	,
		480	)

Minimum size when downscaling incoming images used for feature tracking.

rng()

cv::RNG rng

(

0xFFFFFFFF

)

subPixWinSize()

const cv::Size subPixWinSize	(	10	,
		10	)

termcrit()

cv::TermCriteria termcrit	(	cv::TermCriteria::COUNT|cv::TermCriteria::EPS	,
		20	,
		0.	03 )

winSize()

const cv::Size winSize	(	31	,
		31	)

Window size to use in optical flow search.

Variable Documentation

defaultDetectorType

PlanarTracker::FeatureDetectorType defaultDetectorType = PlanarTracker::FeatureDetectorType::Akaze

harrisBorder

const int harrisBorder = 10

Harris corners within this many pixels of the border of the image will be ignored.

markerTemplateCountMax

const int markerTemplateCountMax = 300

Maximum number of Harris corners to use as template locations. If <= 0, no limit on the maximum is set and all detected corners will be used.

markerTemplateWidth

const int markerTemplateWidth = 15

Width in pixels of image patches used in template matching.

match_method

const int match_method = cv::TM_SQDIFF_NORMED

minRequiredDetectedFeatures

int minRequiredDetectedFeatures = 50

Minimum number of detected features required to consider a target matched.

nn_match_ratio

const double nn_match_ratio = 0.8f

Nearest-neighbour matching ratio.

ransac_thresh

double ransac_thresh = 2.5f

RANSAC inlier threshold.

searchRadius

const int searchRadius = 15