void FxApp::setup()
{
gl::disableVerticalSync();
int w = 640;
int h = 480;
mEffects.push_back( fx::EffectRef( new fx::PassThrough( w, h ) ) );
mEffects.push_back( fx::EffectRef( new fx::LumaOffset( w, h ) ) );
mEffects.push_back( fx::EffectRef( new fx::Posterize( w, h ) ) );
mParams = params::InterfaceGl( "Parameters", Vec2i( 300, 300 ) );
for ( vector< mndl::fx::EffectRef >::iterator it = mEffects.begin(); it != mEffects.end(); ++it )
{
mEffectNames.push_back( (*it)->getName() );
}
mCurrentEffect = 0;
// capture
try
{
mCapture = Capture( 640, 480 );
mCapture.start();
}
catch (...)
{
console() << "Failed to initialize capture" << std::endl;
}
}
void ___PACKAGENAMEASIDENTIFIER___App::setup()
{
try {
mCapture = Capture( kCaptureWidth, kCaptureHeight );
mCapture.start();
} catch ( ... ) {
console() << "Error with capture device." << std::endl;
exit(1);
}
try {
mShader = gl::GlslProg( loadResource( RES_SHADER_PASSTHRU ), loadResource( RES_SHADER_FRAGMENT ) );
} catch ( gl::GlslProgCompileExc &exc ) {
console() << "Cannot compile shader: " << exc.what() << std::endl;
exit(1);
}catch ( Exception &exc ){
console() << "Cannot load shader: " << exc.what() << std::endl;
exit(1);
}
mFbo = gl::Fbo( kWindowWidth, kWindowHeight );
mMixColorRed = 0.0f;
mMixColorGreen = 0.0f;
mMixColorBlue = 0.0f;
mParams = params::InterfaceGl( "Parameters", Vec2i( kParamsWidth, kParamsHeight ) );
mParams.addParam( "Mix Red", &mMixColorRed, "min=-1.0 max=1.0 step=0.01 keyIncr=r keyDecr=R" );
mParams.addParam( "Mix Green", &mMixColorGreen, "min=-1.0 max=1.0 step=0.01 keyIncr=g keyDecr=G" );
mParams.addParam( "Mix Blue", &mMixColorBlue, "min=-1.0 max=1.0 step=0.01 keyIncr=b keyDecr=B" );
}
void RotatingCubeApp::setup()
{
try {
mCapture = Capture( 320, 240 );
mCapture.start();
}
catch( CaptureExc &exc ) {
console() << "failed to initialize the webcam, what: " << exc.what() << std::endl;
// create a warning texture
// if we threw in the start, we'll set the Capture to null
mCapture.reset();
TextLayout layout;
layout.clear( Color( 0.3f, 0.3f, 0.3f ) );
layout.setColor( Color( 1, 1, 1 ) );
layout.setFont( Font( "Arial", 96 ) );
layout.addCenteredLine( "No Webcam" );
layout.addCenteredLine( "Detected" );
mTexture = gl::Texture2d::create( layout.render() );
}
mCam.lookAt( vec3( 3, 2, -3 ), vec3( 0 ) );
gl::enableDepthRead();
gl::enableDepthWrite();
}
void SmilesApp::setup()
{
mSmileLimit = 4.0f;
mSmileAverageNumOfFrames = 10;
mCamIndex = 0;
mFps = getAverageFps();
try {
mCapture = Capture( CAMWIDTH, CAMHEIGHT );
mCapture.start();
}
catch( ... ) {
console() << "Failed to initialize capture" << std::endl;
}
mSmileRect = Rectf(300,100,600,400);
setupSmileDetector(mSmileRect.getInteriorArea().getWidth(), mSmileRect.getInteriorArea().getHeight());
console()<< mSmileRect.getInteriorArea().getWidth() << mSmileRect.getInteriorArea().getHeight() << endl;
mSmileThreshold = 0;
mSmileAverageIndex = 0;
mParams = params::InterfaceGl( "Parameters", Vec2i( 220, 170 ) );
mParams.addParam( "FPS", &mFps,"", true );
mParams.addSeparator();
mParams.addParam( "SmileResponse", &mSmileResponse, "", true );
mParams.addParam( "SmileThreshold", &mSmileThreshold, "", true );
mParams.addParam( "mSmileLimit", &mSmileLimit );
mParams.addParam( "mSmileAverageNumOfFrames", &mSmileAverageNumOfFrames );
}
void ocvFaceDetectApp::setup()
{
mFaceCascade.load( getAssetPath( "haarcascade_frontalface_alt.xml" ).string() );
mEyeCascade.load( getAssetPath( "haarcascade_eye.xml" ).string() );
mCapture = Capture( 640, 480 );
mCapture.start();
}
void CaptureApp::keyDown( KeyEvent event )
{
#if defined( CINDER_MAC )
if( event.getChar() == 'f' )
setFullScreen( ! isFullScreen() );
else if( event.getChar() == ' ' )
( mCapture && mCapture.isCapturing() ) ? mCapture.stop() : mCapture.start();
#endif
}
void CaptureApp::setup()
{
try {
mCapture = Capture( 640, 480 );
mCapture.start();
}
catch( ... ) {
console() << "Failed to initialize capture" << std::endl;
}
}
void TellThatToMyCamera_v1_0App::setup()
{
mExpressionsCascade.load(getAssetPath("haarcascade_frontalface_alt.xml").string());
mPath= getAssetPath("ppdtest.csv").string();
mCapture = Capture( 640, 480 ); // Camera settings
mCapture.start();
read_csv(mPath, mDBimgFaces, mDBLabels); // Read DB of faces for FaceRec algorithm
mFisherFaceRec->train(mDBimgFaces, mDBLabels); // Train the Fisher Face Recognizer algorithm
}
void peopleDetectApp::setup()
{
hog.setSVMDetector(cv::HOGDescriptor::getDefaultPeopleDetector());
capture = Capture(640, 480);
capture.start();
stillSurface = loadImage(loadAsset( "people_in_park.jpg" ) );
stillTex = gl::Texture(stillSurface);
}
void ocvFaceDetectApp::setup()
{
#if defined( CINDER_MAC )
mFaceCascade.load( getResourcePath( "haarcascade_frontalface_alt.xml" ) );
mEyeCascade.load( getResourcePath( "haarcascade_eye.xml" ) );
#else
mFaceCascade.load( getAppPath() + "../../resources/haarcascade_frontalface_alt.xml" );
mEyeCascade.load( getAppPath() + "../../resources/haarcascade_eye.xml" );
#endif
mCapture = Capture( 640, 480 );
mCapture.start();
}
void PhotoBoothApp::setup()
{
// Start cameara.
try{
vector<Capture::DeviceRef> devices( Capture::getDevices() );
// Look for a camera called "Front Camera"
for( vector<Capture::DeviceRef>::const_iterator deviceIt = devices.begin(); deviceIt != devices.end(); ++deviceIt ) {
Capture::DeviceRef device = *deviceIt;
if(device->getName() == "Front Camera"){
mCapture = Capture( CAM_WIDTH, CAM_HEIGHT, device );
mCapture.start();
}
}
}
catch( ... ) {
console() << "Failed to initialize camera" << std::endl;
}
// Load textures
mConfirmMessage = loadImage( loadResource("assets/confirm_message.png"));
mSaveTexture = loadImage( loadResource("assets/save.png"));
mDiscardTexture = loadImage( loadResource("assets/discard.png"));
mCameraButtonTexture = loadImage( loadResource("assets/camera.png"));
mIntroTexture = loadImage( loadResource("assets/attract.png" ));
mLightBg = loadImage( loadResource("assets/bkg_light.png" ));
mDarkBg = loadImage( loadResource("assets/bkg_dark.png" ));
mNumberBg = loadImage( loadResource("assets/countdown_bkg.png") );
mNumberProgress = loadImage( loadResource("assets/countdown_progress.png") );
mNumberTextures.push_back( loadImage( loadResource("assets/countdown_5.png")));
mNumberTextures.push_back( loadImage( loadResource("assets/countdown_4.png")));
mNumberTextures.push_back( loadImage( loadResource("assets/countdown_3.png")));
mNumberTextures.push_back( loadImage( loadResource("assets/countdown_2.png")));
mNumberTextures.push_back( loadImage( loadResource("assets/countdown_1.png")));
width = getWindowWidth() / DISPLAY_SCALE;
height = getWindowHeight() / DISPLAY_SCALE;
mCurrentState = STATE_PREVIEW;
mDiscardPos = Vec2f(100, height + 100 );
mSavePos = Vec2f(width - 700, height + 100);
mCameraButtonPos = Vec2f(width/2 - mCameraButtonTexture.getWidth() / 2, 650 - mCameraButtonTexture.getHeight() / 2);
}
void ScreenShadersApp::setup()
{
try {
vector<Capture::DeviceRef> devices( Capture::getDevices() );
mCapture = Capture( CAPTURE_WIDTH, CAPTURE_HEIGHT, devices[0] );
mCapture.start();
}
catch( ... ) {
console() << "Failed to initialize capture" << std::endl;
}
gl::Fbo::Format format;
mFbo = gl::Fbo( CAPTURE_WIDTH, CAPTURE_HEIGHT, format );
mBlurShader = gl::GlslProg( loadResource( "passThruVert.glsl" ), loadResource( "blurFrag.glsl" ) );
mBlurKernel = gl::Texture( loadImage( loadResource( "kernel.png" ) ) );
}
void PaintingBeingsApp::setup()
{
setStop();
// Setup des paramètres de OpenGL
glShadeModel(GL_SMOOTH);
gl::enable(GL_POLYGON_SMOOTH);
glHint(GL_POLYGON_SMOOTH_HINT, GL_NICEST);
gl::enableAlphaBlending();
gl::enableDepthRead();
gl::enableDepthWrite();
// Setup Capture webcam
_capture = Capture(640, 480);
_capture.start();
// Setup camera
float fieldOfView = 75.0f;
float nearCamera = 0.1f;
float farCamera = 1000000.0f;
_camera = CameraPersp(getWindowWidth(), getWindowHeight(), fieldOfView, nearCamera, farCamera);
_camera.lookAt(Vec3f(0.0f, 0.0f, 50.0f), Vec3f::zero());
// Setup arcball (camera rotation)
float radiusArcBall = static_cast<float>(getWindowHeight() * 0.5f);
_arcball = Arcball(getWindowSize());
_arcball.setRadius(radiusArcBall);
// Génération de la population d'ImageBeing
_imageBeing = ImageBeing();
_rectangleAlgoGen.set(-75.0f, 25.0f, -25.0f, -25.0f);
_rectangleTextutre.set(25.0f, 25.0f, 75.0f, -25.0f);
// Setup de l'interface
_params = params::InterfaceGl("Options", Vec2i(200, 400));
updateInterface(false);
}
void ICPApp::setup()
{
mExpressionsCascade.load(getAssetPath("haarcascade_frontalface_alt.xml").string());
mPath= getAssetPath("ppdtest.csv").string();
mCapture = Capture( 640, 480 ); // Camera settings
mCapture.start();
read_csv(mPath, mDBimgFaces, mDBLabels); // Read DB of faces for FaceRec algorithm
mFisherFaceRec->train(mDBimgFaces, mDBLabels); // Train the Fisher Face Recognizer algorithm
// FOR TESTING PURPOSES
// mSurf=(loadImage("/Users/PpD/Desktop/EcA - Pp DanY/MSc ICP/Semester 2/ICP 3/Faces DB Original/hugh_laurie_extra1.jpg"));
// mTexture = gl::Texture(mCinderDBimgFaces);
// mTexture = gl::Texture( fromOcv( input ) );
// cv::Mat output;
// mTexture = gl::Texture( fromOcv( loadImage("/Users/PpD/Desktop/emotionsrec2/data/emotions/0neutral/amy_adams_neutral.jpg") ) );
// mDBLabelsTEST.push_back(0);
// mDBLabelsTEST.push_back(1);
// mFisherFaceRec->train(mDBimgFaces, mDBLabelsTEST);
// mFisherFaceRec->train(mDBimgFaces, mDBLabels);
}
void LEDCamApp::setup()
{
try {
mCapture = Capture( kCaptureWidth, kCaptureHeight );
mCapture.start();
} catch ( ... ) {
console() << "Error with capture device." << std::endl;
exit(1);
}
try {
mShader = gl::GlslProg( loadResource( RES_SHADER_PASSTHRU ), loadResource( RES_SHADER_FRAGMENT ) );
} catch ( gl::GlslProgCompileExc &exc ) {
console() << "Cannot compile shader: " << exc.what() << std::endl;
exit(1);
}catch ( Exception &exc ){
console() << "Cannot load shader: " << exc.what() << std::endl;
exit(1);
}
mFbo = gl::Fbo( kWindowWidth, kWindowHeight );
}
void motionHistAdvApp::setup()
{
// CAPTURE
mCaptureTex = gl::Texture( APP_WIDTH, APP_HEIGHT );
mCaptureSurface = Surface( APP_WIDTH, APP_HEIGHT, false );
mCapture = Capture( APP_WIDTH, APP_HEIGHT );
mCapture.start();
// OPENCV
// NOTE THE WIDTH AND HEIGTH NEED TO BE REVERSED FOR THESE MATS
mHistory = cv::Mat::zeros( APP_HEIGHT, APP_WIDTH, CV_32FC1 );
mMotionMask = cv::Mat::zeros( APP_HEIGHT, APP_WIDTH, CV_32FC1 );
mOrientation = cv::Mat::zeros( APP_HEIGHT, APP_WIDTH, CV_32FC1 );
mMask = cv::Mat::zeros( APP_HEIGHT, APP_WIDTH, CV_8UC1 );
// TEXTURES
mHistoryTex = gl::Texture( APP_WIDTH, APP_HEIGHT, gl::Texture::Format() );
mDiffTex = gl::Texture( APP_WIDTH, APP_HEIGHT, gl::Texture::Format() );
mOrientTex = gl::Texture( APP_WIDTH, APP_HEIGHT, gl::Texture::Format() );
mMotionMaskTex = gl::Texture( APP_WIDTH, APP_HEIGHT, gl::Texture::Format() );
mMagnitude = 50;
}
void shaderExternalFileExampleApp::setup(){
// Initialize shader:
try {
mShader = ci::gl::GlslProg( loadAsset("shader_vert.glsl"),
loadAsset("shader_frag.glsl") );
}
catch( gl::GlslProgCompileExc &exc ) {
console() << "Cannot compile shader: " << exc.what() << std::endl;
exit(1);
}
catch( Exception &exc ){
console() << "Cannot load shader: " << exc.what() << std::endl;
exit(1);
}
// Initialize camera:
try {
mCapture = Capture( CAM_W, CAM_H );
mCapture.start();
}
catch(...) { console() << "Failed to initialize camera." << endl; }
}
int main(int argc, char *argv[])
{
try {
// Output usage message
std::string filename(argv[0]);
filename = filename.substr(filename.find_last_of('\\') + 1);
std::cout << "SampleMarkerlessDetector" << std::endl;
std::cout << "========================" << std::endl;
std::cout << std::endl;
std::cout << "Description:" << std::endl;
std::cout << " This is an example of how to use the 'FernImageDetector' and" << std::endl;
std::cout << " 'FernPoseEstimator' classes to detect and track an image and" << std::endl;
std::cout << " visualize it using 'GlutViewer'. The classification must first" << std::endl;
std::cout << " be trained with the SampleMarkerlessCreator sample and the" << std::endl;
std::cout << " resulting file passed as an argument to this sample." << std::endl;
std::cout << std::endl;
std::cout << " For optimal results, a high quality USB camera or a Firewire" << std::endl;
std::cout << " camera is necessary. It is also advised to calibrate the camera" << std::endl;
std::cout << " using the SampleCamCalib sample. It should be noted that the size" << std::endl;
std::cout << " of the trained image will affect the optimal distance for detection." << std::endl;
std::cout << std::endl;
std::cout << "Usage:" << std::endl;
std::cout << " " << filename << " filename [device]" << std::endl;
std::cout << std::endl;
std::cout << " filename the filename of classifier (.dat)" << std::endl;
std::cout << " device integer selecting device from enumeration list (default 0)" << std::endl;
std::cout << " highgui capture devices are prefered" << std::endl;
std::cout << std::endl;
std::cout << "Keyboard Shortcuts:" << std::endl;
std::cout << " q: quit" << std::endl;
std::cout << std::endl;
if (argc < 2) {
std::cout << "Filename not specified." << std::endl;
return 0;
}
std::string classifierFilename(argv[1]);
// Initialise GlutViewer and CvTestbed
GlutViewer::Start(argc, argv, 640, 480);
CvTestbed::Instance().SetVideoCallback(videocallback);
// Enumerate possible capture plugins
CaptureFactory::CapturePluginVector plugins = CaptureFactory::instance()->enumeratePlugins();
if (plugins.size() < 1) {
std::cout << "Could not find any capture plugins." << std::endl;
return 0;
}
// Display capture plugins
std::cout << "Available Plugins: ";
outputEnumeratedPlugins(plugins);
std::cout << std::endl;
// Enumerate possible capture devices
CaptureFactory::CaptureDeviceVector devices = CaptureFactory::instance()->enumerateDevices();
if (devices.size() < 1) {
std::cout << "Could not find any capture devices." << std::endl;
return 0;
}
// Check command line argument for which device to use
int selectedDevice = defaultDevice(devices);
if (argc > 2) {
selectedDevice = atoi(argv[2]);
}
if (selectedDevice >= (int)devices.size()) {
selectedDevice = defaultDevice(devices);
}
// Display capture devices
std::cout << "Enumerated Capture Devices:" << std::endl;
outputEnumeratedDevices(devices, selectedDevice);
std::cout << std::endl;
// Create capture object from camera
Capture *cap = CaptureFactory::instance()->createCapture(devices[selectedDevice]);
std::string uniqueName = devices[selectedDevice].uniqueName();
// Handle capture lifecycle and start video capture
// Note that loadSettings/saveSettings are not supported by all plugins
if (cap) {
std::cout << "Loading classifier." << std::endl;
if (!fernDetector.read(classifierFilename)) {
std::cout << "Loading classifier failed." << std::endl;
cap->stop();
delete cap;
return 1;
}
std::stringstream settingsFilename;
settingsFilename << "camera_settings_" << uniqueName << ".xml";
calibrationFilename << "camera_calibration_" << uniqueName << ".xml";
cap->start();
cap->setResolution(640, 480);
if (cap->loadSettings(settingsFilename.str())) {
std::cout << "Loading settings: " << settingsFilename.str() << std::endl;
}
std::stringstream title;
title << "SampleMarkerDetector (" << cap->captureDevice().captureType() << ")";
CvTestbed::Instance().StartVideo(cap, title.str().c_str());
if (cap->saveSettings(settingsFilename.str())) {
std::cout << "Saving settings: " << settingsFilename.str() << std::endl;
}
cap->stop();
delete cap;
}
else if (CvTestbed::Instance().StartVideo(0, argv[0])) {
}
else {
std::cout << "Could not initialize the selected capture backend." << std::endl;
}
return 0;
}
catch (const std::exception &e) {
std::cout << "Exception: " << e.what() << endl;
}
catch (...) {
std::cout << "Exception: unknown" << std::endl;
}
}
int main(int argc, char *argv[])
{
try {
// Output usage message
std::string filename(argv[0]);
filename = filename.substr(filename.find_last_of('\\') + 1);
std::cout << "SampleMultiMarker" << std::endl;
std::cout << "=================" << std::endl;
std::cout << std::endl;
std::cout << "Description:" << std::endl;
std::cout << " This is an example of how to use the 'MultiMarker' class to detect" << std::endl;
std::cout << " preconfigured multi-marker setup (see ALVAR.pdf). A large cube is drawn" << std::endl;
std::cout << " over the detected multi-marker even when only some of the markers are" << std::endl;
std::cout << " visible." << std::endl;
std::cout << std::endl;
std::cout << "Usage:" << std::endl;
std::cout << " " << filename << " [device]" << std::endl;
std::cout << std::endl;
std::cout << " device integer selecting device from enumeration list (default 0)" << std::endl;
std::cout << " highgui capture devices are prefered" << std::endl;
std::cout << std::endl;
std::cout << "Keyboard Shortcuts:" << std::endl;
std::cout << " v: switch between three debug visualizations" << std::endl;
std::cout << " l: load marker configuration from mmarker.txt" << std::endl;
std::cout << " d: toggle the detection of non-readable markers" << std::endl;
std::cout << " q: quit" << std::endl;
std::cout << std::endl;
// Initialise CvTestbed
CvTestbed::Instance().SetVideoCallback(videocallback);
CvTestbed::Instance().SetKeyCallback(keycallback);
// Enumerate possible capture plugins
CaptureFactory::CapturePluginVector plugins = CaptureFactory::instance()->enumeratePlugins();
if (plugins.size() < 1) {
std::cout << "Could not find any capture plugins." << std::endl;
return 0;
}
// Display capture plugins
std::cout << "Available Plugins: ";
outputEnumeratedPlugins(plugins);
std::cout << std::endl;
// Enumerate possible capture devices
CaptureFactory::CaptureDeviceVector devices = CaptureFactory::instance()->enumerateDevices();
if (devices.size() < 1) {
std::cout << "Could not find any capture devices." << std::endl;
return 0;
}
// Check command line argument for which device to use
int selectedDevice = defaultDevice(devices);
if (argc > 1) {
selectedDevice = atoi(argv[1]);
}
if (selectedDevice >= (int)devices.size()) {
selectedDevice = defaultDevice(devices);
}
// Display capture devices
std::cout << "Enumerated Capture Devices:" << std::endl;
outputEnumeratedDevices(devices, selectedDevice);
std::cout << std::endl;
// Create capture object from camera
Capture *cap = CaptureFactory::instance()->createCapture(devices[selectedDevice]);
std::string uniqueName = devices[selectedDevice].uniqueName();
// Handle capture lifecycle and start video capture
// Note that loadSettings/saveSettings are not supported by all plugins
if (cap) {
std::stringstream settingsFilename;
settingsFilename << "camera_settings_" << uniqueName << ".xml";
calibrationFilename << "camera_calibration_" << uniqueName << ".xml";
cap->start();
cap->setResolution(640, 480);
if (cap->loadSettings(settingsFilename.str())) {
std::cout << "Loading settings: " << settingsFilename.str() << std::endl;
}
std::stringstream title;
title << "SampleMultiMarker (" << cap->captureDevice().captureType() << ")";
CvTestbed::Instance().StartVideo(cap, title.str().c_str());
if (cap->saveSettings(settingsFilename.str())) {
std::cout << "Saving settings: " << settingsFilename.str() << std::endl;
}
cap->stop();
delete cap;
}
else if (CvTestbed::Instance().StartVideo(0, argv[0])) {
}
else {
std::cout << "Could not initialize the selected capture backend." << std::endl;
}
return 0;
}
catch (const std::exception &e) {
std::cout << "Exception: " << e.what() << endl;
}
catch (...) {
std::cout << "Exception: unknown" << std::endl;
}
}
void BoidsApp::setup()
{
Rand::randomize();
//setFullScreen(true);
shouldBeFullscreen = false;
mCenter = Vec3f( getWindowWidth() * 0.5f, getWindowHeight() * 0.5f, 0.0f );
mSaveFrames = false;
mIsRenderingPrint = false;
changeInterval = 15.0;
time(&lastChange);
gravity = false;
// SETUP CAMERA
mCameraDistance = 350.0f;
mEye = Vec3f( 0.0f, 0.0f, mCameraDistance );
mCenter = Vec3f::zero();
mUp = Vec3f::yAxis();
mCam.setPerspective( 75.0f, getWindowAspectRatio(), 5.0f, 5000.0f );
lastFrameTime = getElapsedSeconds();
deltaT = 0;
newFlock = 0;
mParticleTexture = gl::Texture( loadImage( loadResource( RES_PARTICLE ) ) );
// Initialize the OpenCV input (Below added RS 2010-11-15)
try {
//ci::Device device = Capture.
std::vector<boost::shared_ptr<Capture::Device> > devices = Capture::getDevices();
std::cout << "Capture Devices:" << std::endl;
std::vector<boost::shared_ptr<Capture::Device> >::iterator device_iterator;
//for(device_iterator=devices.begin(); device_iterator!=devices.end(); device_iterator++)
for(int i=0; i<devices.size();i++)
{
console() << "device " << i << ": " << devices[i]->getName() << std::endl;
}
//UNCOMMENT FOLLOWING LINE FOR BUILT-IN CAMERA
//capture = Capture(320,240);
//UNCOMMENT FOLLOWING LINE FOR UNIBRAIN OR WHATEVER
capture = Capture(320,240,devices[0]);//,devices[0]); //FIXME this is a dumb way to select a device
capture.start();
silhouetteDetector = new SilhouetteDetector(320,240);
} catch ( ... ) {
console() << "Failed to initialize capture device" << std::endl;
}
cvThreshholdLevel = 45;
// CREATE PARTICLE CONTROLLER
flock_one.addBoids( NUM_INITIAL_PARTICLES );
flock_two.addBoids( NUM_INITIAL_PARTICLES );
flock_one.setColor(ColorA( CM_RGB, 0.784, 0.0, 0.714, 1.0));
flock_one.silRepelStrength = -0.50f;
flock_two.setColor(ColorA( CM_RGB, 0.0, 1.0, 0.0, 1.0));
imageColor = ColorA( CM_RGB, 0.4, 0.4, 0.4, 1.0);
flock_one.addOtherFlock(&flock_two);
flock_two.addOtherFlock(&flock_one);
// SETUP PARAMS
mParams = params::InterfaceGl( "Flocking", Vec2i( 200, 310 ) );
mParams.addParam( "Scene Rotation", &mSceneRotation, "opened=1" );//
mParams.addSeparator();
mParams.addParam( "Fullscreen", &shouldBeFullscreen,"keyIncr=f" ); //FIXME
mParams.addSeparator();
mParams.addParam( "Eye Distance", &mCameraDistance, "min=100.0 max=2000.0 step=50.0 keyIncr=s keyDecr=w" );
//mParams.addParam( "Center Gravity", &flock_one.centralGravity, "keyIncr=g" );
//mParams.addParam( "Flatten", &flock_one.flatten, "keyIncr=f" );
mParams.addSeparator();
//mParams.addParam( "Zone Radius", &flock_one.zoneRadius, "min=10.0 max=100.0 step=1.0 keyIncr=z keyDecr=Z" );
// mParams.addParam( "Lower Thresh", &flock_one.lowerThresh, "min=0.025 max=1.0 step=0.025 keyIncr=l keyDecr=L" );
// mParams.addParam( "Higher Thresh", &flock_one.higherThresh, "min=0.025 max=1.0 step=0.025 keyIncr=h keyDecr=H" );
// mParams.addSeparator();
// mParams.addParam( "Attract Strength", &flock_one.attractStrength, "min=0.001 max=0.1 step=0.001 keyIncr=a keyDecr=A" );
// mParams.addParam( "Repel Strength", &flock_one.repelStrength, "min=0.001 max=0.1 step=0.001 keyIncr=r keyDecr=R" );
// mParams.addParam( "Orient Strength", &flock_one.orientStrength, "min=0.001 max=0.1 step=0.001 keyIncr=o keyDecr=O" );
// mParams.addSeparator();
mParams.addParam( "CV Threshhold", &silhouetteDetector->cvThresholdLevel, "min=0 max=255 step=1 keyIncr=t keyDecr=T" );
//setup transformation from camera space to opengl world space
imageToScreenMap.setToIdentity();
imageToScreenMap.translate(Vec3f(getWindowSize().x/2, getWindowSize().y/2, 0)); //translate over and down
imageToScreenMap.scale(Vec3f(-1*getWindowSize().x/320.0f, -1*getWindowSize().y/240.0f,1.0f)); //scale up
polygons = new vector<Vec2i_ptr_vec>();
currentBoidRuleNumber = 0;
// ** stuff to create boid rulesets ** //
// State 1: stuckOnYou - both flocks are attracted to the silhouette
BoidSysPair stuckOnYou;
stuckOnYou.flockOneProps.zoneRadius = 80.0f;
stuckOnYou.flockOneProps.lowerThresh = 0.5f;
stuckOnYou.flockOneProps.higherThresh = 0.8f;
stuckOnYou.flockOneProps.attractStrength = 0.004f;
stuckOnYou.flockOneProps.repelStrength = 0.01f;
stuckOnYou.flockOneProps.orientStrength = 0.01f;
stuckOnYou.flockOneProps.silThresh = 1000.0f;
stuckOnYou.flockOneProps.silRepelStrength = -0.50f;
stuckOnYou.flockOneProps.gravity = false;
stuckOnYou.flockOneProps.baseColor = ColorA( CM_RGB, 0.784, 0.0, 0.714, 1.0);
stuckOnYou.flockTwoProps=stuckOnYou.flockOneProps;
stuckOnYou.imageColor = ColorA( 0.08f, 0.0f, 0.1f, 1.0f);
boidRulesets.push_back(stuckOnYou);
// State 2: repel - both flocks are repeled by the silhouette
BoidSysPair repel;
repel.flockOneProps.zoneRadius = 80.0f;
repel.flockOneProps.lowerThresh = 0.5f;
repel.flockOneProps.higherThresh = 0.8f;
repel.flockOneProps.attractStrength = 0.004f;
repel.flockOneProps.repelStrength = 0.01f;
repel.flockOneProps.orientStrength = 0.01f;
repel.flockOneProps.silThresh = 500.0f;
repel.flockOneProps.silRepelStrength = 1.00f;
repel.flockOneProps.gravity = false;
repel.flockOneProps.baseColor = ColorA( CM_RGB, 0.157, 1.0, 0.0,1.0);
repel.flockTwoProps=repel.flockOneProps;
repel.imageColor = ColorA( 0.08f, 0.0f, 0.1f, 1.0f);
boidRulesets.push_back(repel);
//// State 3: grav - like repel, but with gravity added
BoidSysPair grav;
grav.flockOneProps=repel.flockOneProps;
grav.flockOneProps.gravity = true;
grav.flockOneProps.repelStrength = 0.005f;
grav.flockOneProps.baseColor = ColorA( CM_RGB, 0.157, 0.0, 1.0,1.0);
grav.flockTwoProps=grav.flockOneProps;
grav.imageColor = ColorA( 0.08f, 0.0f, 0.1f, 1.0f);
boidRulesets.push_back(grav);
//// State 4: diff - one flock is attracted to the silhouette and the other is repeled
BoidSysPair diff;
diff.flockOneProps=repel.flockOneProps;
diff.flockTwoProps=stuckOnYou.flockOneProps;
diff.imageColor = ColorA( 0.08f, 0.0f, 0.1f, 1.0f);
boidRulesets.push_back(diff);
}
int main(int argc, char *argv[])
{
try {
// Output usage message
std::string filename(argv[0]);
filename = filename.substr(filename.find_last_of('\\') + 1);
std::cout << "SampleTrack" << std::endl;
std::cout << "===========" << std::endl;
std::cout << std::endl;
std::cout << "Description:" << std::endl;
std::cout << " This is an example of how to use the 'TrackerPsa', 'TrackerPsaRot'," << std::endl;
std::cout << " 'TrackerFeatures', 'TrackerStat' and 'TrackerStatRot' classes to" << std::endl;
std::cout << " track the optical flow of the video." << std::endl;
std::cout << std::endl;
std::cout << "Usage:" << std::endl;
std::cout << " " << filename << " [device]" << std::endl;
std::cout << std::endl;
std::cout << " device integer selecting device from enumeration list (default 0)" << std::endl;
std::cout << " highgui capture devices are prefered" << std::endl;
std::cout << std::endl;
std::cout << "Keyboard Shortcuts:" << std::endl;
std::cout << " r,t: reset tracker" << std::endl;
std::cout << " n,space: cycle through tracking algorithms" << std::endl;
std::cout << " q: quit" << std::endl;
std::cout << std::endl;
// Initialize font
cvInitFont(&font, CV_FONT_HERSHEY_PLAIN, 1.0, 1.0);
// Initialise CvTestbed
CvTestbed::Instance().SetVideoCallback(videocallback);
CvTestbed::Instance().SetKeyCallback(keycallback);
// Enumerate possible capture plugins
CaptureFactory::CapturePluginVector plugins = CaptureFactory::instance()->enumeratePlugins();
if (plugins.size() < 1) {
std::cout << "Could not find any capture plugins." << std::endl;
return 0;
}
// Display capture plugins
std::cout << "Available Plugins: ";
outputEnumeratedPlugins(plugins);
std::cout << std::endl;
// Enumerate possible capture devices
CaptureFactory::CaptureDeviceVector devices = CaptureFactory::instance()->enumerateDevices();
if (devices.size() < 1) {
std::cout << "Could not find any capture devices." << std::endl;
return 0;
}
// Check command line argument for which device to use
int selectedDevice = defaultDevice(devices);
if (argc > 1) {
selectedDevice = atoi(argv[1]);
}
if (selectedDevice >= (int)devices.size()) {
selectedDevice = defaultDevice(devices);
}
// Display capture devices
std::cout << "Enumerated Capture Devices:" << std::endl;
outputEnumeratedDevices(devices, selectedDevice);
std::cout << std::endl;
// Create capture object from camera
Capture *cap = CaptureFactory::instance()->createCapture(devices[selectedDevice]);
std::string uniqueName = devices[selectedDevice].uniqueName();
// Handle capture lifecycle and start video capture
// Note that loadSettings/saveSettings are not supported by all plugins
if (cap) {
std::stringstream settingsFilename;
settingsFilename << "camera_settings_" << uniqueName << ".xml";
calibrationFilename << "camera_calibration_" << uniqueName << ".xml";
cap->start();
cap->setResolution(640, 480);
if (cap->loadSettings(settingsFilename.str())) {
std::cout << "Loading settings: " << settingsFilename.str() << std::endl;
}
std::stringstream title;
title << "SampleTrack (" << cap->captureDevice().captureType() << ")";
CvTestbed::Instance().StartVideo(cap, title.str().c_str());
if (cap->saveSettings(settingsFilename.str())) {
std::cout << "Saving settings: " << settingsFilename.str() << std::endl;
}
cap->stop();
delete cap;
}
else if (CvTestbed::Instance().StartVideo(0, argv[0])) {
}
else {
std::cout << "Could not initialize the selected capture backend." << std::endl;
}
return 0;
}
catch (const std::exception &e) {
std::cout << "Exception: " << e.what() << endl;
}
catch (...) {
std::cout << "Exception: unknown" << std::endl;
}
}
int main(int argc, char *argv[])
{
try {
// Output usage message
std::string filename(argv[0]);
filename = filename.substr(filename.find_last_of('\\') + 1);
std::cout << "SampleIntegralImage" << std::endl;
std::cout << "===================" << std::endl;
std::cout << std::endl;
std::cout << "Description:" << std::endl;
std::cout << " This is an example of how to use the 'IntegralImage' and" << std::endl;
std::cout << " 'IntegralGradient' classes. The vertical (green) and horizontal (red)" << std::endl;
std::cout << " whole image projections are computed using 'IntegralImage::GetSubimage'" << std::endl;
std::cout << " and shown in the SampleIntegralImage window. The gradients of the" << std::endl;
std::cout << " image edges are shown in the Gradient window. The edges are detected" << std::endl;
std::cout << " using the Canny edge detector where t1 and t2 are parameters for the" << std::endl;
std::cout << " Canny algorithm. The gradients are drawn in red and their local normals" << std::endl;
std::cout << " are drawn in blue." << std::endl;
std::cout << std::endl;
std::cout << "Usage:" << std::endl;
std::cout << " " << filename << " [device]" << std::endl;
std::cout << std::endl;
std::cout << " device integer selecting device from enumeration list (default 0)" << std::endl;
std::cout << " highgui capture devices are prefered" << std::endl;
std::cout << std::endl;
std::cout << "Keyboard Shortcuts:" << std::endl;
std::cout << " 0: show/hide gradient image" << std::endl;
std::cout << " 1: show/hide grayscale image" << std::endl;
std::cout << " 2: show/hide vertical image" << std::endl;
std::cout << " 3: show/hide horizontal image" << std::endl;
std::cout << " 4: show/hide canny image" << std::endl;
std::cout << " q: quit" << std::endl;
std::cout << std::endl;
// Initialise CvTestbed
CvTestbed::Instance().SetVideoCallback(videocallback);
// Enumerate possible capture plugins
CaptureFactory::CapturePluginVector plugins = CaptureFactory::instance()->enumeratePlugins();
if (plugins.size() < 1) {
std::cout << "Could not find any capture plugins." << std::endl;
return 0;
}
// Display capture plugins
std::cout << "Available Plugins: ";
outputEnumeratedPlugins(plugins);
std::cout << std::endl;
// Enumerate possible capture devices
CaptureFactory::CaptureDeviceVector devices = CaptureFactory::instance()->enumerateDevices();
if (devices.size() < 1) {
std::cout << "Could not find any capture devices." << std::endl;
return 0;
}
// Check command line argument for which device to use
int selectedDevice = defaultDevice(devices);
if (argc > 1) {
selectedDevice = atoi(argv[1]);
}
if (selectedDevice >= (int)devices.size()) {
selectedDevice = defaultDevice(devices);
}
// Display capture devices
std::cout << "Enumerated Capture Devices:" << std::endl;
outputEnumeratedDevices(devices, selectedDevice);
std::cout << std::endl;
// Create capture object from camera
Capture *cap = CaptureFactory::instance()->createCapture(devices[selectedDevice]);
std::string uniqueName = devices[selectedDevice].uniqueName();
// Handle capture lifecycle and start video capture
// Note that loadSettings/saveSettings are not supported by all plugins
if (cap) {
std::stringstream settingsFilename;
settingsFilename << "camera_settings_" << uniqueName << ".xml";
cap->start();
cap->setResolution(640, 480);
if (cap->loadSettings(settingsFilename.str())) {
std::cout << "Loading settings: " << settingsFilename.str() << std::endl;
}
std::stringstream title;
title << "SampleIntegralImage (" << cap->captureDevice().captureType() << ")";
CvTestbed::Instance().StartVideo(cap, title.str().c_str());
if (cap->saveSettings(settingsFilename.str())) {
std::cout << "Saving settings: " << settingsFilename.str() << std::endl;
}
cap->stop();
delete cap;
}
else if (CvTestbed::Instance().StartVideo(0, argv[0])) {
}
else {
std::cout << "Could not initialize the selected capture backend." << std::endl;
}
return 0;
}
catch (const std::exception &e) {
std::cout << "Exception: " << e.what() << endl;
}
catch (...) {
std::cout << "Exception: unknown" << std::endl;
}
}
int main(int argc, char *argv[])
{
try {
// Output usage message
std::string filename(argv[0]);
filename = filename.substr(filename.find_last_of('\\') + 1);
// Initialise GlutViewer and CvTestbed
GlutViewer::Start(argc, argv, 640, 480);
CvTestbed::Instance().SetVideoCallback(videocallback);
// Create capture object from camera (argv[1] is a number) or from file (argv[1] is a string)
Capture *cap;
std::string uniqueName;
if ((argc > 1) && (!isdigit(argv[1][0]))) {
// Manually create capture device and initialize capture object
CaptureDevice device("file", argv[1]);
cap = CaptureFactory::instance()->createCapture(device);
uniqueName = "file";
}
else {
// Enumerate possible capture plugins
CaptureFactory::CapturePluginVector plugins = CaptureFactory::instance()->enumeratePlugins();
if (plugins.size() < 1) {
std::cout << "Could not find any capture plugins." << std::endl;
return 0;
}
// Display capture plugins
std::cout << "Available Plugins: ";
outputEnumeratedPlugins(plugins);
std::cout << std::endl;
// Enumerate possible capture devices
CaptureFactory::CaptureDeviceVector devices = CaptureFactory::instance()->enumerateDevices();
if (devices.size() < 1) {
std::cout << "Could not find any capture devices." << std::endl;
return 0;
}
// Check command line argument for which device to use
int selectedDevice = defaultDevice(devices);
if (argc > 1) {
selectedDevice = atoi(argv[1]);
}
if (selectedDevice >= (int)devices.size()) {
selectedDevice = defaultDevice(devices);
}
// Display capture devices
std::cout << "Enumerated Capture Devices:" << std::endl;
outputEnumeratedDevices(devices, selectedDevice);
std::cout << std::endl;
// Create capture object from camera
cap = CaptureFactory::instance()->createCapture(devices[selectedDevice]);
uniqueName = devices[selectedDevice].uniqueName();
}
// Handle capture lifecycle and start video capture
// Note that loadSettings/saveSettings are not supported by all plugins
if (cap) {
std::stringstream settingsFilename;
settingsFilename << "camera_settings_" << uniqueName << ".xml";
calibrationFilename << "camera_calibration_" << uniqueName << ".xml";
cap->start();
cap->setResolution(640, 480);
if (cap->loadSettings(settingsFilename.str())) {
std::cout << "Loading settings: " << settingsFilename.str() << std::endl;
}
std::stringstream title;
title << "SampleMarkerDetector (" << cap->captureDevice().captureType() << ")";
CvTestbed::Instance().StartVideo(cap, title.str().c_str());
if (cap->saveSettings(settingsFilename.str())) {
std::cout << "Saving settings: " << settingsFilename.str() << std::endl;
}
cap->stop();
delete cap;
}
else if (CvTestbed::Instance().StartVideo(0, argv[0])) {
}
else {
std::cout << "Could not initialize the selected capture backend." << std::endl;
}
return 0;
}
catch (const std::exception &e) {
std::cout << "Exception: " << e.what() << endl;
}
catch (...) {
std::cout << "Exception: unknown" << std::endl;
}
}
