LSST Applications: /j/snowflake/release/lsstsw/stack/lsst-scipipe-12.0.0/Linux/scarlet_lite/ga2180abaac+edbf708997/python/lsst/scarlet/lite/detect.py File Reference

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LSST Data Management Base Package

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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)

tuple[int, int, int, int]	lsst.scarlet.lite.detect.bbox_to_bounds (Box bbox)

Image	lsst.scarlet.lite.detect.footprints_to_image (Sequence[Footprint] footprints, Box bbox)

np.ndarray	lsst.scarlet.lite.detect.get_wavelets (np.ndarray images, np.ndarray variance, int\|None scales=None, int generation=2)

np.ndarray	lsst.scarlet.lite.detect.get_detect_wavelets (np.ndarray images, np.ndarray variance, int scales=3)

list[Footprint]	lsst.scarlet.lite.detect.detect_footprints (np.ndarray images, np.ndarray variance, int scales=1, int generation=2, tuple[int, int]\|None origin=None, float min_separation=4, int min_area=4, float peak_thresh=5, float footprint_thresh=5, bool find_peaks=True, bool remove_high_freq=True, int min_pixel_detect=1)

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