HoloMotion: A Foundation Model for Whole-Body Humanoid Control
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Updated
Nov 11, 2025 - Python
HoloMotion: A Foundation Model for Whole-Body Humanoid Control
A Python toolbox for analysing animal body movements across space and time
This script captures video from a webcam, detects motion, records the start and end times of the detected motion, and saves this information to a CSV file. It's a simple example of motion detection using computer vision techniques.
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
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.
Fast Volleyball Tracking Inference: Real-time volleyball ball detection and tracking at 200 FPS on CPU (Intel i5-10400F). Powered by an optimized ONNX model, outputs ball coordinates to CSV, with optional video visualization. Ideal for sports analytics and computer vision research.
realtime motion tracking in blender using mediapipe and rigify
Bachelor Thesis work developed in 2025 at University of Bologna. See Readme for more information on the project.
An all-in-one project for humanoid robots from locomotion to motion tracking.
Python SDK for OpenCyberGlove 🧤
A simple game where you swat ghosts using hand motion detection with OpenCV and Pygame. The game uses your computer's webcam to detect hand movements and swat ghosts that appear on the screen. The player earns points by swatting ghosts, and the game ends when a ghost reaches the bottom of the screen.
Example for using Python with the QTM Project Automation Framework
Real-time background subtraction using OpenCV's MOG2 algorithm. Detects moving objects in webcam or video streams, with automatic video looping and customizable sensitivity.
Raspberry PI-TIMOLO2 ( PI-TImelapse, MOtion, LOwLight ) uses RPI libcamera/picamera2 and OpenCV for Motion Tracking. Python3 Bullseye or later. Auto Low Light long exposures. Supports pantilt pano image stitching. Auto Sync files with rclone remote storage services.
Synthetic underwater video generation and optical flow-based speed estimation pipeline for marine robotics and computer vision applications.
Control cars in racing games with a camera
Raspberry PI-TIMOLO ( PI-TImelapse, MOtion, LOwLight ) uses RPI picamera and OpenCV for Remote Headless Security Monitoring using Motion Tracking, Rclone Auto Sync files with remote storage services. Auto Twilight Transitions and Low Light Camera Settings. Panoramic images using PanTiltHat and More. This project is featured on GitHub Awesome sof…
Sport Tech project @unitn a.y. 2024/2025
a cross-platform motion analysis engine designed to evaluate human movement data
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