A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features 🔥
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Updated
Nov 12, 2025 - Python
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features 🔥
A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync scripts.
Welcome to your brand-new free open-source photobooth-app! Written in Python 🐍, coming along with a modern Vue3 frontend.
Web Server for Raspi Camera Access and control of GPIO-devices
College mini-project, Facial Recognition System using OpenCV on Raspberry Pi 4. Using simple Haar-Cascade and LBPH to detect and recognize. Picamera2 library for latest camera-stack
Back-End System for the RPi Cam Web Interface
Picam2ctrl is a MQTT client based on Picamera2 API
Calibration of cameras with two different API's
A Picamera2 application to take a picture every time a movement is detected. It then uploads the image to a backend server you can setup at https://github.com/mastrolinux/raspberry-pi-security-camera-server
ArduCam 64mp Hawkeye camera app
Library for simplifying and automating time lapse photography using a Raspberry Pi and camera. Can also use ffmpeg to convert images to mp4 if desired.
This is the code that allows one to see a live feed using a raspberry pi and a pi cam only
picamera2 based replacement of mjpeg-streamer for octoprint
This project implements a reconnaissance system for an unmanned ground vehicle (UGV) running on Raspberry Pi. It supports both manual and autonomous driving modes, using a camera, GPS, QR code recognition, and an AI model (YOLOv8) to detect and classify military and civilian objects.
This project is an interactive picture frame that responds to user interactions and environmental factors. Over time, the displayed image deteriorates, losing color and sharpness until it becomes completely black. Users can restore the image by interacting with the system, with each interaction having a specific impact on the restoration process.
Scripts to automate timelapses on a Raspberry Pi 4
Kids Care AI IOT Device - RaspberryPi USB Mic voice detection and Picamera fall detection.
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