Skip to main content

Photobooth app written in Python supporting DSLR, picamera2 and webcameras

Project description

photobooth app logo

Welcome to your brand-new photobooth-app! Written in Python 🐍, coming along with a modern Vue3 frontend.

PyPI python versions supported 3.9, 3.10, 3.11 rpi, linux and windows platform supported ruff pytest codecov

Installation - Documentation - PyPI package - 3d printed box

😍 Features

  • 📹 camera live preview with shortest delay as possible, permanent video live view in background
  • 🛫 optimized for speed, highly response UI
  • 🫶 several camera backends supported for high quality stills and livestream
  • 💡 WLED support signaling photo countdown and feedback to the user when the photo is actually taken
  • 🤝 Linux 🐧, Raspberry Pi 🍓 and Windows 🪟 platforms supported

📷 Supported Cameras

The photobooth app's Python backend allows to use different camera types on Linux and Windows platforms:

  • Raspberry Pi Camera Module 1/2/3 (with or without autofocus)
  • Arducam cameras (with or without autofocus)
  • DSLR camera via
    • gphoto2, Linux
    • digicamcontrol, Windows
  • Webcameras (via opencv2 or v4l)

The app controls camera's autofocus, handles led signaling when a photo is taken and streams live video to photobooth.

The reference photobooth box is made from 3d printed parts, see the 3d printed reference box over here.

💅 Screenshots

Find screenshots in the documentation

🔧 Installation

See separate installation instructions in the documentation.

©️ License

The software is licensed under the MIT license.

🎉 Donation

If you like my work and like to keep me motivated you can sponsor me:

Donate

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

photobooth_app-2.0a2.tar.gz (19.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

photobooth_app-2.0a2-py3-none-any.whl (8.0 MB view details)

Uploaded Python 3

File details

Details for the file photobooth_app-2.0a2.tar.gz.

File metadata

  • Download URL: photobooth_app-2.0a2.tar.gz
  • Upload date:
  • Size: 19.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for photobooth_app-2.0a2.tar.gz
Algorithm Hash digest
SHA256 efbbedb3d028b5ec4d82c96368ae513a5b66313874c3a29a050e346623cf2bef
MD5 fe939e13d65affeed09c1e2bfa1c70f6
BLAKE2b-256 a0d3318f60652520d053a8ebe1fa81d4236d83b33324b12b92e331ad47a68d1c

See more details on using hashes here.

File details

Details for the file photobooth_app-2.0a2-py3-none-any.whl.

File metadata

  • Download URL: photobooth_app-2.0a2-py3-none-any.whl
  • Upload date:
  • Size: 8.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for photobooth_app-2.0a2-py3-none-any.whl
Algorithm Hash digest
SHA256 c46c74d996992c55c71c8141ea349ff5c1d015d5fa9630139e254fa3fe487ea5
MD5 2fe4238f86c77d1877ba1e24b0bfc2c4
BLAKE2b-256 2cb27ba1a57cfefa3893033066edcf076b479e7c5134bd3c15bed654cdf860e2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page