Qengineering/YoloV7-ncnn-Jetson-Nano

YoloV7 for a Jetson Nano using ncnn.

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/ 100
Emerging

This project helps operations engineers and robotics enthusiasts perform real-time object detection on embedded systems. It takes video streams or images as input and outputs bounding boxes around detected objects, identifying what they are. This is ideal for scenarios requiring immediate analysis on devices like security cameras, drones, or automated vehicles.

No commits in the last 6 months.

Use this if you need to identify objects in live video feeds or images on a low-power, embedded device like a NVIDIA Jetson Nano.

Not ideal if you need to run complex machine learning models that require significant computational power, or if you are not working with embedded Linux systems.

embedded-vision robotics surveillance edge-ai object-detection
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

31

Forks

7

Language

C++

License

BSD-3-Clause

Last pushed

Sep 30, 2023

Commits (30d)

0

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