是要画这样两个图表，记录眨眼来检测是否是真视频（没眨眼说明是假视频）
调用了以下函数出错
def plot_by_fid(self, i):
# Vis plots
max_X = self.frame_num / self.fps
params = {}
params['title'] = 'Eye-state-probability'
params['colors'] = ['b-']
params['markers'] = [None]
params['linewidth'] = 3
params['markersize'] = None
params['figsize'] = None
x_axis = np.arange(self.frame_num) / self.fps
# Vis plots
prob_plot_1 = plot.draw2D([x_axis[:i + 1]],
[self.total_eye1_prob],
order=[''],
xname='time',
yname='eye state',
params=params,
xlim=[0, max_X],
ylim=[-1, 2])
prob_plot_2 = plot.draw2D([x_axis[:i + 1]],
[self.total_eye2_prob],
order=[''],
xname='time',
yname='eye state',
params=params,
xlim=[0, max_X],
ylim=[-1, 2])
vis = np.concatenate([prob_plot_1, prob_plot_2], axis=1)
scale = float(self.output_height) / vis.shape[0]
# Resize plot size to same size with video
vis = cv2.resize(vis, None, None, fx=scale, fy=scale)
self.plot_vis_list.append(vis)
return self.plot_vis_list
