OpenVINO-YoloV3 and YoloV6-ncnn-Raspberry-Pi-4
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
25/25
Maintenance
0/25
Adoption
5/25
Maturity
16/25
Community
15/25
Stars: 538
Forks: 165
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 11
Forks: 4
Downloads: —
Commits (30d): 0
Language: C++
License: BSD-3-Clause
Archived
Stale 6m
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No Dependents
Stale 6m
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No Dependents
About OpenVINO-YoloV3
PINTO0309/OpenVINO-YoloV3
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
About YoloV6-ncnn-Raspberry-Pi-4
Qengineering/YoloV6-ncnn-Raspberry-Pi-4
YoloV6 for a bare Raspberry Pi using ncnn.
This project helps embedded systems developers deploy object detection capabilities on resource-constrained devices like the Raspberry Pi 4. It takes real-time video feeds or images and outputs bounding boxes around detected objects. This is ideal for developers building IoT solutions, surveillance systems, or robotics applications that need on-device visual processing.
embedded-vision
edge-computing
IoT-development
robotics
real-time-object-detection
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