void ImageWidget::paintEvent(QPaintEvent *)
{
QRectF desiredRect[4];
desiredRect[0] = QRectF( QPointF(desiredSize.width(), desiredSize.height()),
QPointF(2.0*desiredSize.width(), 2.0*desiredSize.height()));
desiredRect[1] = QRectF( QPointF(0.0, desiredSize.height()),
QPointF(desiredSize.width(), 2.0*desiredSize.height()));
desiredRect[2] = QRectF( QPointF(0.0, 0.0),
QPointF(desiredSize.width(), desiredSize.height()));
desiredRect[3] = QRectF( QPointF(desiredSize.width(), 0.0),
QPointF(2.0*desiredSize.width(), desiredSize.height()));
QPainter painter;
QPen pen(Qt::red, 10, Qt::SolidLine, Qt::RoundCap, Qt::RoundJoin);
QRectF defaultRect(0.0, 0.0, imgSize.width(), imgSize.height());
QRectF appRect(0.0, 0.0, desiredSize.width(), desiredSize.height());
for( int i = 0; i < 4; ++i)
{
/* load the image */
image.load(fileName[i]);
painter.begin(&image);
painter.drawPixmap(imagePos(image), QPixmap::fromImage(image));
painter.end();
/* get the area ready to draw in */
painter.begin(this);
painter.setCompositionMode(QPainter::CompositionMode_Source);
painter.drawImage(desiredRect[i], image, defaultRect);
painter.end();
}
for (list<QLine>::iterator it = lines.begin(); it != lines.end(); it++)
{
painter.begin(this);
painter.setPen(pen);
painter.drawLine(*it);
painter.end();
}
}
//! [11]
void ImageComposer::loadImage(const QString &fileName, QImage *image,
QToolButton *button)
{
image->load(fileName);
QImage fixedImage(resultSize, QImage::Format_ARGB32_Premultiplied);
QPainter painter(&fixedImage);
painter.setCompositionMode(QPainter::CompositionMode_Source);
painter.fillRect(fixedImage.rect(), Qt::transparent);
painter.setCompositionMode(QPainter::CompositionMode_SourceOver);
painter.drawImage(imagePos(*image), *image);
painter.end();
button->setIcon(QPixmap::fromImage(fixedImage));
*image = fixedImage;
recalculateResult();
}
void PreviewColorPickerTool::CalcCorrection(hugin_utils::FDiff2D pos)
{
m_red=0;
m_blue=0;
m_count=0;
HuginBase::Panorama* pano=helper->GetPanoramaPtr();
HuginBase::UIntSet activeImages=pano->getActiveImages();
if(activeImages.size()>0)
{
for(HuginBase::UIntSet::iterator it=activeImages.begin();it!=activeImages.end();++it)
{
//check if point is inside the image, check also all 4 corners of rectangle
HuginBase::PTools::Transform trans;
trans.createTransform(pano->getImage(*it),pano->getOptions());
double x;
double y;
if(trans.transformImgCoord(x,y,pos.x,pos.y))
{
vigra::Point2D imagePos(x,y);
if(pano->getImage(*it).isInside(imagePos) &&
pano->getImage(*it).isInside(imagePos + vigra::Point2D(-ColorPickerSize,-ColorPickerSize)) &&
pano->getImage(*it).isInside(imagePos + vigra::Point2D(-ColorPickerSize, ColorPickerSize)) &&
pano->getImage(*it).isInside(imagePos + vigra::Point2D( ColorPickerSize,-ColorPickerSize)) &&
pano->getImage(*it).isInside(imagePos + vigra::Point2D( ColorPickerSize, ColorPickerSize))
)
{
CalcCorrectionForImage(*it,imagePos);
};
};
};
};
if(m_count>0)
{
m_red=m_red/m_count;
m_blue=m_blue/m_count;
};
};
std::unique_ptr<Map> SceneGenerator::generateFromPoses(const std::vector<Eigen::Matrix3fr> &posesR, const std::vector<Eigen::Vector3f> &posesCenter)
{
std::unique_ptr<Map> newMap(new Map());
newMap->mGroundTruthCamera.reset(new CameraModel(*mCamera));
cv::Mat3b nullImg3(mCamera->getImageSize()[1], mCamera->getImageSize()[0]);
cv::Mat1b nullImg1(mCamera->getImageSize()[1], mCamera->getImageSize()[0]);
Eigen::Matrix<uchar, 1, 32> nullDescr;
nullDescr.setZero();
float expectedPixelNoiseStd = std::max(0.3f, mNoiseStd);
//Features
const int kFeatureCount = 1000;
std::uniform_real_distribution<float> distributionx(0, mCamera->getImageSize()[0]);
std::uniform_real_distribution<float> distributiony(0, mCamera->getImageSize()[1]);
for (int i = 0; i < kFeatureCount; i++)
{
std::unique_ptr<Feature> newFeature(new Feature());
//Get position
Eigen::Vector2f imagePos(distributionx(mRandomDevice), distributiony(mRandomDevice));
Eigen::Vector2f xn = mCamera->unprojectToWorld(imagePos).hnormalized();
newFeature->mGroundTruthPosition3D = Eigen::Vector3f(xn[0], xn[1], 0);
newFeature->mPosition3D = newFeature->mGroundTruthPosition3D;
//newFeature->setPosition(imagePos);
newMap->addFeature(std::move(newFeature));
}
//Matlab log of poses
if (mLogScene)
{
//Eigen::MatrixX3f points(newMap->getFeatures().size(), 3);
//for (int i = 0; i < points.rows(); i++)
//{
// points.row(i) = newMap->getFeatures()[i]->mPosition3D.transpose();
//}
//MatlabDataLog::Instance().AddValue("K", mCamera->getK());
//MatlabDataLog::Instance().AddValue("X", points.transpose());
//for (int i = 0; i < posesR.size(); i++)
//{
// MatlabDataLog::Instance().AddCell("R", posesR[i]);
// MatlabDataLog::Instance().AddCell("center", posesCenter[i]);
//}
//return std::unique_ptr<Map>();
}
//Frames
std::normal_distribution<float> error_distribution(0, mNoiseStd);
for (int i = 0; i < (int)posesR.size(); i++)
{
std::unique_ptr<Keyframe> newFrame(new Keyframe());
newFrame->init(nullImg3, nullImg1);
Eigen::Vector3f poseT = -posesR[i] * posesCenter[i];
newFrame->mGroundTruthPose3DR = posesR[i];
newFrame->mGroundTruthPose3DT = poseT;
//Stats
std::vector<float> distortionError;
std::vector<float> noiseError;
//Points
std::vector<Eigen::Vector2f> refPoints, imgPoints;
for (int j = 0; j< (int)newMap->getFeatures().size(); j++)
{
auto &feature = *newMap->getFeatures()[j];
//Project
Eigen::Vector3f xn = posesR[i] * feature.mPosition3D + poseT;
Eigen::Vector2f imagePosClean = mCamera->projectFromWorld(xn);
Eigen::Vector2f noise(error_distribution(mRandomDevice), error_distribution(mRandomDevice));
Eigen::Vector2f imagePos = imagePosClean + noise;
//Position
if (i == 0)
feature.setPosition(imagePos);
//Skip if outside of image
if (imagePos[0] < 0 || imagePos[1] < 0 || imagePos[0] > mCamera->getImageSize()[0] || imagePos[1] > mCamera->getImageSize()[1])
continue;
//Save distortion and noise errors
if (mVerbose)
{
//Eigen::Vector2f imagePosNoDistortion = mCamera->projectFromDistorted(xn.hnormalized());
//distortionError.push_back((imagePosClean - imagePosNoDistortion).norm());
//noiseError.push_back(noise.norm());
}
//Measurement
std::unique_ptr<FeatureMeasurement> m(new FeatureMeasurement(&feature, newFrame.get(), imagePos, 0, nullDescr.data()));
newFrame->getMeasurements().push_back(m.get());
feature.getMeasurements().push_back(std::move(m));
//Save match
refPoints.push_back(feature.getPosition());
imgPoints.push_back(imagePos);
}
//Write stats
if (mVerbose)
{
MYAPP_LOG << "Frame " << i << "\n";
if (newFrame->getMeasurements().empty())
MYAPP_LOG << "AAAAHHHH NO MEASUREMENTS!\n";
Eigen::Map<Eigen::ArrayXf> _distortionError(distortionError.data(), distortionError.size());
Eigen::Map<Eigen::ArrayXf> _noiseError(noiseError.data(), noiseError.size());
MYAPP_LOG << " Measurement count: " << newFrame->getMeasurements().size() << "\n";
MYAPP_LOG << " Max distortion error: " << _distortionError.maxCoeff() << "\n";
MYAPP_LOG << " Max noise error: " << _noiseError.maxCoeff() << "\n";
}
//Get homography
Eigen::Matrix<uchar, Eigen::Dynamic, 1> mask(refPoints.size());
cv::Mat1b mask_cv(refPoints.size(), 1, mask.data());
HomographyRansac ransac;
ransac.setParams(3 * expectedPixelNoiseStd, 10, 100, (int)(0.9f * newFrame->getMeasurements().size()));
ransac.setData(newFrame->getMeasurements());
ransac.doRansac();
Eigen::Matrix3fr H = ransac.getBestModel().cast<float>();
//Refine
HomographyEstimation hest;
std::vector<bool> inliersVec;
std::vector<float> scales(imgPoints.size(), 1);
H = hest.estimateCeres(H, imgPoints, refPoints, scales, 3 * expectedPixelNoiseStd, inliersVec);
//Set final
newFrame->setPose(H);
//Add
newMap->addKeyframe(std::move(newFrame));
}
return std::move(newMap);
}