YoloX-ncnn-Jetson-Nano and YoloV6-ncnn-Jetson-Nano

Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 12/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 12/25
Stars: 20
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 YoloX-ncnn-Jetson-Nano

Qengineering/YoloX-ncnn-Jetson-Nano

YoloX for a Jetson Nano using ncnn.

This project enables real-time object detection on embedded devices. It takes a video stream or image as input and identifies specific objects, outputting bounding boxes around them and their labels. It's designed for engineers and hobbyists building applications on NVIDIA Jetson Nano boards that require fast, localized image analysis.

embedded-vision edge-computing robotics real-time-object-detection IoT-vision

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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