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jblitzar
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github-python-corpus

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exit()
# <FILESEP>
"""
A simple Python module for recording matplotlib animation
This tool use convert command of ImageMagick
author: Atsushi Sakai
How to use:
- import
from matplotrecorder import matplotrecorder
- save file
matplotrecorder.save_frame()
- generate movie
matplotrecorder.save_movie("animation.gif", 0.1)
"""
import matplotlib.pyplot as plt
import subprocess
iframe = 0
donothing = False # switch to stop all recordering
def save_frame(skip=None):
"""
Save a frame for movie
"""
if not donothing:
global iframe
if skip is not None:
if iframe % skip == 0:
plt.savefig(
"recoder" + '{0:04d}'.format(iframe) + '.png')
else:
plt.savefig("recoder" + '{0:04d}'.format(iframe) + '.png')
iframe += 1
def save_movie(fname, d_pause, monitor=True):
"""
Save movie
"""
if not donothing:
if monitor:
# cmd = "ffmpeg -framerate " + \
# str(int(d_pause * 100)) + \
# " -i recoder%04d.png " + fname
cmd = "convert -monitor -delay " + str(int(d_pause * 100)) + \
" -resize 640x480 recoder*.png " + fname
else:
cmd = "convert -delay " + str(int(d_pause * 100)) + \
" -resize 640x480 recoder*.png " + fname
print(cmd)
subprocess.call(cmd, shell=True)
cmd = "rm recoder*.png"
subprocess.call(cmd, shell=True)
if __name__ == '__main__':
print("A sample recording start")
import math
time = range(50)
x1 = [math.cos(t / 10.0) for t in time]
y1 = [math.sin(t / 10.0) for t in time]
x2 = [math.cos(t / 10.0) + 2 for t in time]
y2 = [math.sin(t / 10.0) + 2 for t in time]
for ix1, iy1, ix2, iy2 in zip(x1, y1, x2, y2):
plt.plot(ix1, iy1, "xr")
plt.plot(ix2, iy2, "xb")
plt.axis("equal")
plt.pause(0.1)
save_frame() # save each frame
save_movie("animation.gif", 0.1)
# save_movie("animation.mp4", 0.1)
# <FILESEP>
import torch
class FastTensorDataLoader:
"""
A DataLoader-like object for a set of tensors that can be much faster than