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2026-07-13 13:35:51 +08:00

31 lines
851 B
Python

import os
import cv2 as cv
import matplotlib
import matplotlib.animation as manimation
import matplotlib.pyplot as plt
import numpy as np
matplotlib.use("agg")
# Make video can be used to visualize test data
def make_video(xy, filename):
os.system("rm -rf pics/*")
FFMpegWriter = manimation.writers["ffmpeg"]
metadata = dict(
title="Movie Test", artist="Matplotlib", comment="Movie support!"
)
writer = FFMpegWriter(fps=15, metadata=metadata)
fig = plt.figure()
plt.xlim(-200, 200)
plt.ylim(-200, 200)
fig_num = len(xy)
color = ["ro", "bo", "go", "ko", "yo", "mo", "co"]
with writer.saving(fig, filename, len(xy)):
for i in range(len(xy)):
for j in range(len(xy[0])):
plt.plot(xy[i, j, 1], xy[i, j, 0], color[j % len(color)])
writer.grab_frame()