YoloV7-ncnn-Jetson-Nano and YoloV6-ncnn-Jetson-Nano

YoloV7-ncnn-Jetson-Nano
39
Emerging
YoloV6-ncnn-Jetson-Nano
32
Emerging
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 16/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 12/25
Stars: 31
Forks: 7
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 YoloV7-ncnn-Jetson-Nano

Qengineering/YoloV7-ncnn-Jetson-Nano

YoloV7 for a Jetson Nano using ncnn.

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.

embedded-vision robotics surveillance edge-ai object-detection

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

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

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