def analyze_decimation_error_types_single_frame(im, scale=0.5, xform=zoom):
ims = xform(im, scale)
shape = ims.shape
px_scale = shape[0] / float(im.shape[0])
hits = lambda (x, sc): set(
zip(*where(pixelize(trace.find_segments(x), sc, shape))))
gold, test = map(hits, ((im, px_scale), (ims, 1.0)))
false_positives = test - gold
false_negatives = gold - test
common = gold & test
torate = lambda x: len(x) / float(len(gold))
# print "false positive rate : %f"%(torate( false_positives ))
# print "false negative rate : %f"%(torate( false_negatives ))
# print "true positive rate : %f"%(torate( common ))
# print "sum : %f"%sum(map( torate, (false_positives, false_negatives, common) ) )
return map(torate, (false_positives, false_negatives, common))
def analyze_decimation_error_types_single_frame( im, scale=0.5, xform = zoom ):
ims = xform(im,scale)
shape = ims.shape
px_scale = shape[0] / float( im.shape[0] )
hits = lambda (x,sc): set( zip(*where(pixelize( trace.find_segments(x), sc, shape ))) )
gold,test = map(hits, ((im ,px_scale ),
(ims,1.0 )) )
false_positives = test - gold
false_negatives = gold - test
common = gold & test
torate = lambda x: len(x)/float(len(gold))
# print "false positive rate : %f"%(torate( false_positives ))
# print "false negative rate : %f"%(torate( false_negatives ))
# print "true positive rate : %f"%(torate( common ))
# print "sum : %f"%sum(map( torate, (false_positives, false_negatives, common) ) )
return map(torate, (false_positives, false_negatives, common) )
def setUp(self):
self.movie = Reader('data/curated/huber/whisker_data_0024.seq')
self.gold_wv = trace.find_segments(self.movie[0])
def setUp(self):
self.movie = Reader('data/curated/huber/whisker_data_0024.seq')
self.gold_wv = trace.find_segments(self.movie[0])