matplotvideo 0.0.2

Syncing matplotlib and video

matplotvideo - syncing video and matplotlib

What is it?

matplotvideo is a Python package providing an easy way to sync matplotlib plots to video. Some of the features:

• Frame-accurate seeking forward and backward
• Playback speed control between 0.01x and 4x
• Auto frame-skip to maintain playback speed when plot takes to long
• Seek with slider through entire video
• Intuitive pause/play toggle using spacebar
• Play all cv2 supported media types

Where to get it

The source code is currently hosted on GitHub at: https://github.com/PySport/matplotvideo

Installers for the latest released version are available at the Python package index.

# or PyPI
pip install matplotvideo

The package requires cv2 to be installed. When you don't have it installed yet, you can check out opencv-python.

Video player controls:

Sync between Scene Change data plot and video

• 'a' 1 frame back
• 'd' 1 frame forward
• space toggle paused / play
• esc quit video player
• playback speed can be changed with the slider
• playback position can be changed with the slider

Application examples

• Verify data using video
• Enrich video with additional data, like computer vision model output
• Find interesting video/data frames

Usage

Import attach_video_player_to_figure and attach to matplotlib figure. You can pass additional keyword arguments to attach_video_player_to_figure that are passed to the on_frame callback on each invocation.

from matplotvideo import attach_video_player_to_figure
import matplotlib.pyplot as plt

# (timestamp, value) pairs

# sample: big bunny scene cuts
fancy_data = [
    (0, 1),
    (11.875, 1),
    (11.917, 2),
    (15.75, 2),
    (15.792, 3),
    (23.042, 3),
    (23.083, 4),
    (47.708, 4),
    (47.75, 5),
    (56.083, 5),
    (56.125, 6),
    (60, 6)
]


def on_frame(video_timestamp, line):
    timestamps, y = zip(*fancy_data)
    x = [timestamp - video_timestamp for timestamp in timestamps]

    line.set_data(x, y)
    line.axes.relim()
    line.axes.autoscale_view()
    line.axes.figure.canvas.draw()


def main():
    fig, ax = plt.subplots()
    plt.xlim(-15, 15)
    plt.axvline(x=0, color='k', linestyle='--')

    line, = ax.plot([], [], color='blue')

    attach_video_player_to_figure(fig, "BigBuckBunny.mp4", on_frame, line=line)

    plt.show()


main()