Qengineering/YoloV9-ncnn-Raspberry-Pi-4
YoloV9 for a bare Raspberry Pi 4/5
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.
Stars
10
Forks
2
Language
C++
License
BSD-3-Clause
Category
Last pushed
Jun 04, 2024
Commits (30d)
0
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