jordandelbar/yolo-tonic
Webcam video stream with real-time YOLO object detection, built with Ort, Tonic and Axum.
This tool helps you instantly identify and track objects from a live webcam video feed. It takes your webcam's video stream as input and outputs a real-time visualization showing detected objects labeled within the video. Anyone needing live object recognition for monitoring or interactive applications would find this useful.
Use this if you need to perform real-time object detection on a live webcam feed and visualize the results immediately.
Not ideal if you need to process pre-recorded video files or require highly customized object detection models beyond YOLOv8.
Stars
89
Forks
5
Language
Rust
License
AGPL-3.0
Category
Last pushed
Dec 16, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/jordandelbar/yolo-tonic"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ultralytics/ultralytics
Ultralytics YOLO 🚀
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX,...
kujason/avod
Code for 3D object detection for autonomous driving
aparsoft/yolo-streamlit-detection-tracking
Object detection and tracking algorithm implemented for Real-Time video streams and static images.
RizwanMunawar/yolov8-object-tracking
YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics