LSST Applications 28.0.0,g1653933729+a8ce1bb630,g1a997c3884+a8ce1bb630,g28da252d5a+5bd70b7e6d,g2bbee38e9b+638fca75ac,g2bc492864f+638fca75ac,g3156d2b45e+07302053f8,g347aa1857d+638fca75ac,g35bb328faa+a8ce1bb630,g3a166c0a6a+638fca75ac,g3e281a1b8c+7bbb0b2507,g4005a62e65+17cd334064,g414038480c+5b5cd4fff3,g41af890bb2+4ffae9de63,g4e1a3235cc+0f1912dca3,g6249c6f860+3c3976f90c,g80478fca09+46aba80bd6,g82479be7b0+77990446f6,g858d7b2824+78ba4d1ce1,g89c8672015+f667a5183b,g9125e01d80+a8ce1bb630,ga5288a1d22+2a6264e9ca,gae0086650b+a8ce1bb630,gb58c049af0+d64f4d3760,gc22bb204ba+78ba4d1ce1,gc28159a63d+638fca75ac,gcf0d15dbbd+32ddb6096f,gd6b7c0dfd1+3e339405e9,gda3e153d99+78ba4d1ce1,gda6a2b7d83+32ddb6096f,gdaeeff99f8+1711a396fd,gdd5a9049c5+b18c39e5e3,ge2409df99d+a5e4577cdc,ge33fd446bb+78ba4d1ce1,ge79ae78c31+638fca75ac,gf0baf85859+64e8883e75,gf5289d68f6+e1b046a8d7,gfa443fc69c+91d9ed1ecf,gfda6b12a05+8419469a56
LSST Data Management Base Package
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detect.py File Reference

Go to the source code of this file.

Classes

class  lsst.scarlet.lite.detect.Footprint
 

Namespaces

namespace  lsst
 
namespace  lsst.scarlet
 
namespace  lsst.scarlet.lite
 
namespace  lsst.scarlet.lite.detect
 

Functions

Box lsst.scarlet.lite.detect.bounds_to_bbox (tuple[int, int, int, int] bounds)
 
Image lsst.scarlet.lite.detect.footprints_to_image (Sequence[Footprint] footprints, tuple[int, int] shape)
 
np.ndarray lsst.scarlet.lite.detect.get_wavelets (np.ndarray images, np.ndarray variance, int|None scales=None)
 
np.ndarray lsst.scarlet.lite.detect.get_detect_wavelets (np.ndarray images, np.ndarray variance, int scales=3)
 

Variables

 lsst.scarlet.lite.detect.logger = logging.getLogger("scarlet.detect")