NanoDet-ncnn-Jetson-Nano and YoloV6-ncnn-Jetson-Nano

Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 14/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 12/25
Stars: 11
Forks: 3
Downloads:
Commits (30d): 0
Language: C++
License: BSD-3-Clause
Stars: 5
Forks: 1
Downloads:
Commits (30d): 0
Language: C++
License: BSD-3-Clause
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About NanoDet-ncnn-Jetson-Nano

Qengineering/NanoDet-ncnn-Jetson-Nano

NanoDet for Jetson Nano

This project helps developers and engineers implement real-time object detection on embedded devices. It takes in live video streams or images and identifies objects within them, such as cars or people, with high speed. This is useful for robotics engineers, smart city developers, or anyone building embedded vision applications.

embedded vision robotics IoT real-time analytics edge computing

About YoloV6-ncnn-Jetson-Nano

Qengineering/YoloV6-ncnn-Jetson-Nano

YoloV6 for a Jetson Nano using ncnn.

This helps embedded systems developers build high-performance object detection applications on low-power devices. It takes in live video feeds or image files and outputs identified objects within the scene, such as cars or people. It's designed for developers working with Nvidia Jetson Nano hardware who need to deploy real-time computer vision solutions.

embedded-vision edge-computing robotics surveillance industrial-automation

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