def TrimPaddingAndPlotAttention(fig,
axes,
atten_matrix,
src_len,
tgt_len,
transcript=None,
**kwargs):
"""Trims axes of atten_matrix with shape (tgt_time, src_time) and plots it.
For use as a plot function with MatplotlibFigureSummary.
Args:
fig: A matplotlib figure handle.
axes: A matplotlib axes handle.
atten_matrix: A 2D ndarray shaped (tgt_time, src_time).
src_len: Integer length to use to trim the src_time axis of atten_matrix.
tgt_len: Integer length to use to trim the tgt_time axis of atten_matrix.
transcript: transcript for the target sequence.
**kwargs: Additional keyword args to pass to plot.AddImage.
"""
plot.AddImage(fig,
axes,
atten_matrix[:tgt_len, :src_len],
clim=(0, 1),
**kwargs)
if transcript is not None:
if isinstance(transcript, np.ndarray):
transcript = ' '.join(transcript[:src_len])
axes.set_xlabel(plot.ToUnicode(transcript), size='x-small', wrap=True)
def Draw(fig, axes, img, label, pred):
plot.AddImage(fig=fig,
axes=axes,
data=img[:, :, 0] / 256.,
show_colorbar=False,
suppress_xticks=True,
suppress_yticks=True)
axes.text(x=0.5,
y=0,
s=u'%d vs. %d' % (label, pred),
transform=axes.transAxes,
horizontalalignment='center')
def TrimPaddingAndPlotSequence(fig, axes, seq_matrix, seq_len, **kwargs):
"""Trims the time axis of seq_matrix with shape (dim, time) and plots it.
For use as a plot function with MatplotlibFigureSummary.
Args:
fig: A matplotlib figure handle.
axes: A matplotlib axes handle.
seq_matrix: A 2D ndarray shaped (num_rows, time).
seq_len: Integer length to use to trim the time axis of seq_matrix.
**kwargs: Additional keyword args to pass to plot.AddImage.
"""
plot.AddImage(fig, axes, seq_matrix[:, :seq_len], **kwargs)
def DrawCameraImage(fig, axes, frontal_image, run_segment_id):
"""Draw camera image for image summary."""
plot.AddImage(fig=fig,
axes=axes,
data=frontal_image / 256.,
show_colorbar=False,
suppress_xticks=True,
suppress_yticks=True)
txt = axes.text(x=0.5,
y=0.01,
s=run_segment_id,
color='blue',
fontsize=14,
transform=axes.transAxes,
horizontalalignment='center')
txt.set_path_effects([
path_effects.Stroke(linewidth=3, foreground='lightblue'),
path_effects.Normal()
])
def TrimAndAddImage(fig, axes, data, trim, title, **kwargs):
plot.AddImage(fig,
axes,
data[:trim[0], :trim[1]],
title=title,
**kwargs)
def PlotAttention(fig, axes, cur_atten_probs, title, set_x_label):
plot.AddImage(fig, axes, cur_atten_probs, title=title)
axes.set_ylabel(plot.ToUnicode('Output sequence index'), wrap=True)
if set_x_label:
axes.set_xlabel(plot.ToUnicode('Input sequence index'), wrap=True)