Пример #1
0
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))
Пример #2
0
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) )
Пример #3
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 def setUp(self):
     self.movie = Reader('data/curated/huber/whisker_data_0024.seq')
     self.gold_wv = trace.find_segments(self.movie[0])
Пример #4
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 def setUp(self):
   self.movie   = Reader('data/curated/huber/whisker_data_0024.seq')
   self.gold_wv = trace.find_segments(self.movie[0])