import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import cv2 as cv
import os
import matplotlib.animation as manimation

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()