34 template <
typename PixelT>
40 _footprints(
std::vector<
std::shared_ptr<
lsst::afw::detection::Footprint>>()) {
48 LOGL_DEBUG(
"TRACE3.ip.diffim.KernelCandidateDetection",
49 "Cannot update bad bit mask with %s", (*mi).c_str());
50 LOGL_DEBUG(
"TRACE4.ip.diffim.KernelCandidateDetection",
54 LOGL_DEBUG(
"TRACE2.ip.diffim.KernelCandidateDetection",
55 "Using bad bit mask %d", _badBitMask);
78 template <
typename PixelT>
85 int fpNpixMin = _ps->getAsInt(
"fpNpixMin");
86 int fpGrowPix = _ps->getAsInt(
"fpGrowPix");
88 bool detOnTemplate = _ps->getAsBool(
"detOnTemplate");
89 double detThreshold = _ps->getAsDouble(
"detThreshold");
90 std::string detThresholdType = _ps->getAsString(
"detThresholdType");
102 if (detOnTemplate ==
true) {
111 LOGL_DEBUG(
"TRACE2.ip.diffim.KernelCandidateDetection.apply",
112 "Found %d total footprints in template above %.3f %s",
123 LOGL_DEBUG(
"TRACE2.ip.diffim.KernelCandidateDetection.apply",
124 "Found %d total footprints in science image above %.3f %s",
135 if (_footprints.size() == 0) {
137 "Unable to find any footprints for Psf matching");
140 LOGL_DEBUG(
"TRACE1.ip.diffim.KernelCandidateDetection.apply",
141 "Found %d clean footprints above threshold %.3f",
142 _footprints.size(), detThreshold);
146 template <
typename PixelT>
153 int fpNpixMax = _ps->getAsInt(
"fpNpixMax");
170 LOGL_DEBUG(
"TRACE3.ip.diffim.KernelCandidateDetection.apply",
171 "Footprint has too many pix: %d (max =%d)",
172 fp->getArea(), fpNpixMax);
184 LOGL_DEBUG(
"TRACE5.ip.diffim.KernelCandidateDetection.apply",
185 "Original footprint in parent : %d,%d -> %d,%d -> %d,%d",
210 fp->getSpans()->dilated(fpGrowPix, afwGeom::Stencil::MANHATTAN)
216 LOGL_DEBUG(
"TRACE5.ip.diffim.KernelCandidateDetection.apply",
217 "Grown footprint in parent : %d,%d -> %d,%d -> %d,%d",
227 LOGL_DEBUG(
"TRACE3.ip.diffim.KernelCandidateDetection.apply",
228 "Footprint grown off image");
240 if (
fsb.getBits() & _badBitMask) {
241 LOGL_DEBUG(
"TRACE3.ip.diffim.KernelCandidateDetection.apply",
242 "Footprint has masked pix (vals=%d) in image to convolve",
248 if (
fsb.getBits() & _badBitMask) {
249 LOGL_DEBUG(
"TRACE3.ip.diffim.KernelCandidateDetection.apply",
250 "Footprint has masked pix (vals=%d) in image not to convolve",
256 LOGL_DEBUG(
"TRACE3.ip.diffim.KernelCandidateDetection.apply",
257 "Exception caught extracting Footprint");
258 LOGL_DEBUG(
"TRACE4.ip.diffim.KernelCandidateDetection.apply",
266 _footprints.push_back(
fpGrow);
#define LOGL_DEBUG(logger, message...)
#define LSST_EXCEPT(type,...)
Image Subtraction helper functions.
Detect candidates for kernels within 2 images.
bool growCandidate(std::shared_ptr< lsst::afw::detection::Footprint > fp, int fpGrowPix, MaskedImagePtr const &templateMaskedImage, MaskedImagePtr const &scienceMaskedImage)
KernelCandidateDetection(lsst::daf::base::PropertySet const &ps)
void apply(MaskedImagePtr const &templateMaskedImage, MaskedImagePtr const &scienceMaskedImage)
Runs Detection on a single image for significant peaks, and checks returned Footprints for Masked pix...
Asseses the quality of a candidate given a spatial kernel and background model.
Threshold createThreshold(const double value, const std::string type="value", const bool polarity=true)