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-2.0a5.tar.gz (19.0 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-2.0a5-py3-none-any.whl (7.4 MB view details)

Uploaded Python 3

File details

Details for the file photobooth_app-2.0a5.tar.gz.

File metadata

  • Download URL: photobooth_app-2.0a5.tar.gz
  • Upload date:
  • Size: 19.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for photobooth_app-2.0a5.tar.gz
Algorithm Hash digest
SHA256 67572a5d9ed8b0553d18a77f5e89cc6187b521255e3234986d984801fb856b51
MD5 cbc3a448d48462eeb4e9605c70609f71
BLAKE2b-256 d485e251e195cb675d60e37372da083e195cca1df109a8820c1ff77b1b479c8d

See more details on using hashes here.

File details

Details for the file photobooth_app-2.0a5-py3-none-any.whl.

File metadata

  • Download URL: photobooth_app-2.0a5-py3-none-any.whl
  • Upload date:
  • Size: 7.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for photobooth_app-2.0a5-py3-none-any.whl
Algorithm Hash digest
SHA256 3497fb95618308890f186e1140cef75239ca6b3b4aef503b4b2b12874a041645
MD5 a4f9f90b3ba3ce7415bde94d60434677
BLAKE2b-256 e69d97801d39f547726396df3eb1e262db1601658dac1540f6fe2a48d3f8a02d

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