NanoDet-ncnn-Jetson-Nano and NanoDetPlus-ncnn-Raspberry-Pi-4

NanoDet-ncnn-Jetson-Nano
35
Emerging
NanoDetPlus-ncnn-Raspberry-Pi-4
33
Emerging
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 14/25
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 12/25
Stars: 11
Forks: 3
Downloads: —
Commits (30d): 0
Language: C++
License: BSD-3-Clause
Stars: 11
Forks: 2
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 NanoDetPlus-ncnn-Raspberry-Pi-4

Qengineering/NanoDetPlus-ncnn-Raspberry-Pi-4

NanoDet Plus for a bare Raspberry Pi 4

This project helps operations engineers and hobbyists perform real-time object detection on live video feeds or images using a Raspberry Pi 4. It takes in video frames or still images and outputs bounding boxes around detected objects like vehicles or people. This is ideal for scenarios requiring on-device, embedded computer vision.

embedded-vision edge-computing object-detection IoT-analytics robotics

Related comparisons

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

Scores updated daily from GitHub, PyPI, and npm data. How scores work