Qengineering/YoloV9-ncnn-Raspberry-Pi-4

YoloV9 for a bare Raspberry Pi 4/5

34
/ 100
Emerging

This project helps embedded systems developers and hobbyists implement real-time object detection on resource-constrained devices. It takes camera input (images or video frames) and outputs bounding boxes around detected objects. Anyone building smart cameras, automated surveillance, or interactive IoT projects would use this.

No commits in the last 6 months.

Use this if you are a developer looking to deploy YoloV9 object detection on a Raspberry Pi 4/5 or similar bare-metal ARM device.

Not ideal if you need high-speed, real-time object detection on a Raspberry Pi, as the current YoloV9 models are too large for optimal performance.

embedded-vision object-detection IoT-devices edge-AI robotics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

10

Forks

2

Language

C++

License

BSD-3-Clause

Last pushed

Jun 04, 2024

Commits (30d)

0

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