plane_analysis.py File Reference

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Namespaces
namespace	plane_analysis
Functions
def	plane_analysis::approx_equals
def	plane_analysis::approx_subset
def	plane_analysis::approx_superset
def	plane_analysis::categorize
def	plane_analysis::false_negatives
def	plane_analysis::intersects
Variables
	plane_analysis::a = auto.area
list	plane_analysis::aa = autos[os[2]]
list	plane_analysis::ah = hands[os[1]]
list	plane_analysis::ai = autos[os[2]]
list	plane_analysis::autos = []
tuple	plane_analysis::autototal = sum([x.area for x in autos])
list	plane_analysis::categorized = [categorize(autos, hands, i) for i in range(len(autos))]
string	plane_analysis::coll_namespace = 'run{0}'
string	plane_analysis::db_name = 'semantic_world_model'
tuple	plane_analysis::fns = false_negatives(autos, hands)
list	plane_analysis::fps = [x for x in categorized if x[0] == 5]
tuple	plane_analysis::gcn = gcn_proxy()
tuple	plane_analysis::gcn_proxy
list	plane_analysis::hands = []
tuple	plane_analysis::handtotal = sum([x.area for x in hands])
tuple	plane_analysis::index = int(sys.argv[1])
list	plane_analysis::intersections = [x for x in categorized if x[0] == 4]
float	plane_analysis::it = 0.0
float	plane_analysis::min_area = 0.25
float	plane_analysis::mistake = 0.0
list	plane_analysis::names = []
list	plane_analysis::oversegs = [x for x in categorized if x[0] == 2]
list	plane_analysis::pairs = [(x, y) for (x, y) in zip(hands, names) if x.area >= min_area]
float	plane_analysis::pct = 0.75
tuple	plane_analysis::planes = list(planes_mc.query({}))
tuple	plane_analysis::planes_mc = mr.MessageCollection(db_name, coll_namespace+'_planes', Planes)
	plane_analysis::run_id = None
list	plane_analysis::truepos = [x for x in categorized if x[0] == 1]
list	plane_analysis::undersegs = [x for x in categorized if x[0] == 3]