evaluate.py 文件源码

def _plot_det(dets, colors, labels, title, fontsize=10, position=None):
  if position is None: position = 'upper right'
  # open new page for current plot
  figure = pyplot.figure(figsize=(matplotlib.rcParams['figure.figsize'][0],
                                  matplotlib.rcParams['figure.figsize'][0] * 0.975))
  pyplot.grid(True)

  # plot the DET curves
  for i in range(len(dets)):
    pyplot.plot(dets[i][0], dets[i][1], color=colors[i], label=labels[i])

  # change axes accordingly
  det_list = [0.0002, 0.001, 0.005, 0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 0.7, 0.9, 0.95]
  ticks = [bob.measure.ppndf(d) for d in det_list]
  labels = [("%.5f" % d).rstrip('0').rstrip('.') for d in det_list]
  pyplot.xticks(ticks, [l if i % 2 else "" for i,l in enumerate(labels)])
  pyplot.yticks(ticks, labels)
  pyplot.axis((ticks[0], ticks[-1], ticks[0], ticks[-1]))

  pyplot.xlabel('FMR')
  pyplot.ylabel('FNMR')
  pyplot.legend(loc=position, prop = {'size':fontsize})
  pyplot.title(title)

  return figure