https://github.com/makew0rld/live-glitch

Realtime glitch art effects with Python and OpenCV.
https://github.com/makew0rld/live-glitch

glitch glitch-art opencv opencv-python python realtime webcam

Last synced: about 1 month ago
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Realtime glitch art effects with Python and OpenCV.

• Host: GitHub
• URL: https://github.com/makew0rld/live-glitch
• Owner: makew0rld
• License: gpl-3.0
• Created: 2020-04-03T01:33:04.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-04-21T23:58:40.000Z (over 4 years ago)
• Last Synced: 2024-10-26T22:25:59.542Z (about 2 months ago)
• Topics: glitch, glitch-art, opencv, opencv-python, python, realtime, webcam
• Language: Python
• Size: 79.9 MB
• Stars: 7
• Watchers: 3
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# live-glitch

![Example screenshot](./screenshot.jpg)

![Second example screenshot](./screenshot2.jpg)

This project uses Python and OpenCV to apply [glitch art](https://en.wikipedia.org/wiki/Glitch_art)

style effects in real time, using the webcam.

## Features/Effects

- VHS date text (`v` key)

- Scanlines (`v` key)

- Face dragging (`f` key)

  - `/` key - Flip orientation

  - Left arrow - drag to the left/up

  - Right arrow - drag to the right/down

  - Up and down arrows - move line that is dragged

- Face glitch (`g` key)

  - `/` key - Flip orientation

  - Up and down arrows - change glitching speed

- Tears (`t` key)

- Censor / Blackout bar (`b` key)

- Screenshot (`s` key)

- Record video (`r` key to start and then stop)

- See debug info like FPS, face points, etc (`d` key)

## Commandline

```

❯ python3 main.py --help

usage: main.py [-h] [-w RESIZE_WIDTH] [-d DISPLAY_WIDTH]

optional arguments:

  -h, --help            show this help message and exit

  -w RESIZE_WIDTH, --resize-width RESIZE_WIDTH

                        The internal image width for processing.

  -d DISPLAY_WIDTH, --display-width DISPLAY_WIDTH

                        The width of the image displayed on the screen.

```

No options are required, I would recommend just running it as is, and changing

DISPLAY_WIDTH if the output is too small.

# Dependencies

1. Install OpenCV for your system. It should come with Python bindings, don't install it through pip.

2. `pip3 install -U --user Pillow numpy dlib imutils`

Installing [dlib](http://dlib.net) will take a long time, and is resource intensive. You should leave

your computer and do something else while it's installing.

## Features to add

- Maybe icons/imagery

- Random VHS-style rolling glitch, where a whole top or bottom section is shifted a bit to the left or right

- Eye removal

- Test on platforms other than Linux and Python 3.8

## Similar projects

- VaporWaveArt ([article](https://towardsdatascience.com/computer-vision-for-vaporwave-art-32a330c827ee), [repo](https://github.com/TimChinenov/VaporWaveArt))

by @TimChinenov. This project helped inspire and direct a lot of what I've done here.

  - Not live, operates on static images

  - Adds vaporwave style icons/imagery and text on top

## License

GPL version 3. See [LICENSE](./LICENSE) for details.