hpc203/yolo-fastestv2-opencv

使用OpenCV部署Yolo-FastestV2,包含C++和Python两种版本的程序

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Emerging

This project helps developers integrate Yolo-FastestV2 into their applications for incredibly fast object detection. It takes an image or video stream as input and identifies predefined objects within it, outputting their locations and classifications. Developers who need to deploy a lightweight and high-speed object detection solution in C++ or Python will find this useful.

115 stars. No commits in the last 6 months.

Use this if you need to add very fast, lightweight object detection capabilities to your C++ or Python applications using OpenCV.

Not ideal if you require more complex deep learning models with higher accuracy at the cost of speed and model size, or if you are not a developer.

object-detection computer-vision real-time-processing embedded-systems application-development
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 20 / 25

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Stars

115

Forks

28

Language

Python

License

Last pushed

Dec 04, 2021

Commits (30d)

0

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