#include "Component/ModelManager.H"
#include "Media/FrameSeries.H"
#include "GUI/XWindow.H"
#include "Media/MediaSimEvents.H"
#include "Neuro/StdBrain.H"
#include "Neuro/NeuroSimEvents.H"
#include "VFAT/featureClusterVision.H"
#include "VFAT/segmentImageTrackMC.H"
#include "Simulation/SimEventQueueConfigurator.H"
Go to the source code of this file.
Defines | |
#define | H1_STD 3.5F |
#define | H2_STD 3.5F |
#define | S_STD 3.0F |
#define | V_STD 2.5F |
#define | IMAGE_SIZE_X 640 |
#define | IMAGE_SIZE_Y 480 |
#define | TRACKER_NUMBER 3 |
Functions | |
int | main (const int argc, const char **argv) |
Basic entry and test binary to featureClusterVision. |
simplified version of vision.C with feature analysis
Definition in file fzvision.C.
int main | ( | const int | argc, | |
const char ** | argv | |||
) |
Basic entry and test binary to featureClusterVision.
Holds H2SV representation of image for simple tracker
output display image
Holds color to track for simple tracker
+/- tollerance value on mean for track
normalizer over color values (highest value possible)
how many standard deviations out to adapt, higher means less bias
highest value for color adaptation possible (hard boundry)
lowest value for color adaptation possible (hard boundry)
Definition at line 79 of file fzvision.C.
References ModelComponent::addSubComponent(), color, XWindow::drawImage(), featureName(), nub::soft_ref< T >::get(), ModelManager::getExtraArg(), Image< T >::initialized(), mean(), MYLOGVERB, Pixels< T, dim >::p, ModelManager::parseCommandLine(), pasteImage(), Image< T >::resize(), sformat(), ModelComponent::start(), ModelComponent::stop(), Raster::waitForKey(), Raster::WriteGray(), and Raster::WriteRGB().