Fix exceptions and errors in analyzing code

This commit is contained in:
2023-01-01 19:04:23 +01:00
parent 88f449d971
commit abc813ddbb
3 changed files with 135 additions and 126 deletions
+12 -4
View File
@@ -384,6 +384,9 @@ bool loadXISF(const QString &path, ImageInfoData &info, RawImage **image)
void LoadRunable::run()
{
try
{
if(!m_thumbnail && !m_receiver->isCurrent())
{
return;
@@ -506,14 +509,19 @@ void LoadRunable::run()
rawImage->convertToThumbnail();
QMetaObject::invokeMethod(m_receiver, "thumbnailLoadFinish", Qt::QueuedConnection, Q_ARG(void*, rawImage));
}
else
{
qDebug() << "failed";
}
}
else
QMetaObject::invokeMethod(m_receiver, "imageLoaded", Qt::QueuedConnection, Q_ARG(void*, rawImage), Q_ARG(ImageInfoData, info));
}
catch(cv::Exception e)
{
qDebug() << e.what();
}
catch(std::exception e)
{
qDebug() << e.what();
}
}
bool readFITSHeader(const QString &path, ImageInfoData &info)
{
+7 -4
View File
@@ -224,10 +224,13 @@ int RawImage::findPeaks(double background, double distance, std::vector<Peak> &p
cv::Mat kernel = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(distance, distance));
cv::Mat mask, dilate, locMax, result;
cv::dilate(m_img, dilate, kernel);
cv::compare(m_img, dilate, locMax, cv::CMP_GE);
cv::compare(m_img, cv::Scalar(background), mask, cv::CMP_GT);
cv::Mat img, mask, dilate, locMax, result;
if(m_img.channels() == 1)img = m_img;
else cv::cvtColor(m_img, img, cv::COLOR_RGB2GRAY);
cv::dilate(img, dilate, kernel);
cv::compare(img, dilate, locMax, cv::CMP_GE);
cv::compare(img, cv::Scalar(background), mask, cv::CMP_GT);
cv::bitwise_and(locMax, mask, result);
cv::findContours(result, contours, cv::noArray(), cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);
+5 -7
View File
@@ -237,6 +237,8 @@ StarFit::StarFit(int size)
m_fdf_an.fvv = nullptr;
m_fdf_an.n = size*size;
m_fdf_an.p = 6;//number of model parameters amplitude, x, y, sigma_x, sigma_y, angle
gsl_set_error_handler_off();
}
StarFit::~StarFit()
@@ -272,14 +274,10 @@ Star StarFit::fitStar(const std::vector<double> &data, bool angle)
gsl_multifit_nlinear_workspace *workspace = gsl_multifit_nlinear_alloc(gsl_multifit_nlinear_trust, &m_fdf_params, fdf->n, fdf->p);
gsl_multifit_nlinear_init(start, fdf, workspace);
gsl_vector *f = gsl_multifit_nlinear_residual(workspace);
int ret = gsl_multifit_nlinear_init(start, fdf, workspace);
if(ret)return star;
double cost, cost0;
gsl_blas_ddot(f, f, &cost0);
int ret = gsl_multifit_nlinear_driver(MAX_ITER, TOL, TOL, TOL, nullptr, nullptr, &info, workspace);
gsl_blas_ddot(f, f, &cost);
ret = gsl_multifit_nlinear_driver(MAX_ITER, TOL, TOL, TOL, nullptr, nullptr, &info, workspace);
if(ret==0)
{