YoloV5-ncnn-Jetson-Nano and YoloV6-ncnn-Jetson-Nano

YoloV5-ncnn-Jetson-Nano
40
Emerging
YoloV6-ncnn-Jetson-Nano
32
Emerging
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 12/25
Stars: 39
Forks: 8
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 YoloV5-ncnn-Jetson-Nano

Qengineering/YoloV5-ncnn-Jetson-Nano

YoloV5 for Jetson Nano

This project helps you detect and identify multiple objects within live video feeds or images using a low-cost, energy-efficient Jetson Nano device. It takes an image or video frame as input and outputs the same image or frame with bounding boxes and labels around detected objects. Anyone building embedded computer vision applications for scenarios like surveillance, robotics, or smart cameras would use this.

embedded-vision robotics surveillance object-detection 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

Related comparisons

YoloV5-ncnn-Jetson-Nano and YoloV7-ncnn-Jetson-Nano YoloV5-ncnn-Jetson-Nano and NanoDet-ncnn-Jetson-Nano YoloV5-ncnn-Jetson-Nano and YoloX-ncnn-Jetson-Nano YoloV5-ncnn-Jetson-Nano and YoloV7-ncnn-Jetson-Nano YoloV5-ncnn-Jetson-Nano and NanoDet-ncnn-Jetson-Nano YoloV5-ncnn-Jetson-Nano and YoloX-ncnn-Jetson-Nano

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