LSH9832/edgeyolo

an edge-real-time anchor-free object detector with decent performance

52
/ 100
Established

This project helps operations engineers or drone operators analyze video feeds from edge devices like drones or industrial cameras. It takes live video streams or recorded footage as input and outputs identified objects within the frames, indicating their location. This allows for real-time monitoring of specific items, people, or anomalies in various environments.

522 stars.

Use this if you need fast, accurate object detection on compact, power-efficient hardware like NVIDIA Jetson or Huawei Ascend devices for real-time applications.

Not ideal if your application doesn't require deployment on edge devices or if you need to perform more complex tasks like instance segmentation out-of-the-box.

real-time monitoring drone surveillance industrial automation asset tracking security cameras
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

522

Forks

73

Language

Python

License

Apache-2.0

Last pushed

Jan 09, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/LSH9832/edgeyolo"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.