NanoDetPlus-ncnn-Raspberry-Pi-4 and PP-PicoDet-ncnn-Raspberry-Pi-4

NanoDetPlus-ncnn-Raspberry-Pi-4
33
Emerging
PP-PicoDet-ncnn-Raspberry-Pi-4
31
Emerging
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 12/25
Maintenance 0/25
Adoption 3/25
Maturity 16/25
Community 12/25
Stars: 11
Forks: 2
Downloads: —
Commits (30d): 0
Language: C++
License: BSD-3-Clause
Stars: 3
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 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

About PP-PicoDet-ncnn-Raspberry-Pi-4

Qengineering/PP-PicoDet-ncnn-Raspberry-Pi-4

PP-PicoDet for Raspberry Pi 4

This project helps you identify and locate objects within images or live video feeds on a Raspberry Pi 4. You provide an image or camera input, and it outputs an image with bounding boxes drawn around detected objects, indicating what they are. This is ideal for hobbyists, educators, or small-scale automation engineers who want to add basic 'sight' to their Raspberry Pi projects.

robotics home-automation object-recognition embedded-vision surveillance

Related comparisons

NanoDetPlus-ncnn-Raspberry-Pi-4 and NanoDet-ncnn-Jetson-Nano NanoDetPlus-ncnn-Raspberry-Pi-4 and PP-PicoDet-ncnn-Jeston-Nano

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