def adapt(scene):
'''takes a scene object and returns a list of lists of objects that form groups'''
for l in scene.landmarks:
o =PhysicalObject(scene.landmarks[l].uuid,
np.array(scene.landmarks[l].representation.middle),
np.array(scene.landmarks[l].representation.rect.min_point),
np.array(scene.landmarks[l].representation.rect.max_point))
objects.append(o)
results = SceneEval.findChains(objects)[0:-1]#trim the score from the end of the list
for r in range(len(results)):
for s in range(len(results[r])):
results[r][s] = scene.fetch_landmark(results[r][s])
return results
