OpenVINO-YoloV3 and YoloV5-ncnn-Raspberry-Pi-4

OpenVINO-YoloV3
51
Established
YoloV5-ncnn-Raspberry-Pi-4
35
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 11/25
Stars: 538
Forks: 165
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 55
Forks: 6
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 YoloV5-ncnn-Raspberry-Pi-4

Qengineering/YoloV5-ncnn-Raspberry-Pi-4

YoloV5 for a bare Raspberry Pi 4

This project helps embedded systems developers quickly implement object detection on a Raspberry Pi 4. It takes image or video data as input and outputs identified objects with bounding boxes, allowing for real-time analysis on low-power devices. Developers working on edge computing or embedded vision projects would use this.

embedded-vision edge-computing computer-vision-development real-time-object-detection

Related comparisons

OpenVINO-YoloV3 and YoloV7-ncnn-Raspberry-Pi-4 OpenVINO-YoloV3 and YoloV8-ncnn-Raspberry-Pi-4 OpenVINO-YoloV3 and YoloV6-ncnn-Raspberry-Pi-4 OpenVINO-YoloV3 and YoloV7-ncnn-Raspberry-Pi-4 OpenVINO-YoloV3 and YoloFastestV2-ncnn-Raspberry-Pi-4 OpenVINO-YoloV3 and YoloX-Tracking-ncnn-RPi_64-bit

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