Trevog/OpenCV-yolo-stream
Computer Vision Projects
This tool helps you automatically count specific items or activities appearing in live video streams, such as YouTube feeds. It takes a video stream as input and outputs a file that logs the number of detected objects at regular intervals. It's ideal for anyone monitoring public spaces, wildlife, or traffic to track activity over time.
No commits in the last 6 months.
Use this if you need to automatically count objects in real-time video feeds and log the counts for later analysis.
Not ideal if you require highly precise object identification or tracking for specialized, high-stakes security or industrial applications.
Stars
15
Forks
2
Language
Python
License
—
Category
Last pushed
Apr 12, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/Trevog/OpenCV-yolo-stream"
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