OpenVINO-YoloV3 and YoloV8-ncnn-Raspberry-Pi-4
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
25/25
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
14/25
Stars: 538
Forks: 165
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 118
Forks: 13
Downloads: —
Commits (30d): 0
Language: C++
License: BSD-3-Clause
Archived
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About OpenVINO-YoloV3
PINTO0309/OpenVINO-YoloV3
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
About YoloV8-ncnn-Raspberry-Pi-4
Qengineering/YoloV8-ncnn-Raspberry-Pi-4
YoloV8 for a bare Raspberry Pi 4 or 5
This project enables real-time object detection directly on a Raspberry Pi 4 or 5, transforming live camera feeds or images into identified objects with bounding boxes. It's designed for hobbyists, educators, or engineers who need to deploy computer vision solutions on low-cost, embedded hardware without cloud services. You provide video frames or images, and it outputs recognized objects and their locations.
edge-computing
robotics
computer-vision
automation
embedded-systems
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