def __init__(self, img, geo): # img, c):
"""
:param img: masked image revealing all the regions that are silhouette candidates
:param geo: list of the first three Geometry objects [POLY, CONTOUR, HULL] (complex ones)
Stored in increasing order of areas
- POLY: a lower handle_init_input-lines approximation (not tight enough)
- CONTOUR: curve joining all the continuous points--along the boundary--
having the same color/intensity
- HULL: convex hull points
onion_geometry supplements geo param by adding the tilted and bounding boxes
ORDER IS ESSENTIAL in the onion_geometry
"""
AlgoClass.__init__(self)
self.masked_img = img
self.onion_geometry = Geometry.append_bounding_boxes(geo)
self.shape_like = self.geo_area_ratio_similarity()
Silhouette.log_all_geometries = self.masked_img
