Raspberry pi YOLOv4 Object Detection
with Intel (Neural compute stick) and OpenVINO
This is implementation of YOLOV4,YOLOV4-relu,YOLOV4-tiny ,YOLOV4-tiny-3l ,Scaled-YOLOv4 in OpenVINO2021.3 on Raspberry pi.
Last Article. If you want to use YOLOv3
http://raspberrypi4u.blogspot.com/2022/08/raspberrypi-yolo-objectdetection.html
Hardware · Raspberry Pi Board (4B ) · Intel Neural Compute Stick 2 · SD Card 32GB · 5V DC. 2A Power Supply Software · OS Raspbian 10 ( Buster ) · Python 3.7.3 · OpenVINO Toolkit 2021.3 ( 2021.3.0-2787-60059f2c755-releases/2021/3 ) · OpenCV 4.0.0
YOLOv4
With the original authors work on YOLO coming to a standstill, YOLOv4 was released by Alexey Bochoknovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao. The paper was titled YOLOv4: Optimal Speed and Accuracy of Object Detection
Author: Alexey Bochoknovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao
Released: 23 April 2020
Run Python Code on YOLOv4
Run Python Code on YOLOv4-tiny
Compare Performance ( YOLOv4 vs. YOLOv4-tiny )
Compare YOLOv4-tiny with Raspberry pi + Intel NCS vs. NVIDIA Jetson Nano
Reference
Raspberry pi YOLOv3 Object detection
Raspberry pi OpenVINO with Intel Movidius ( Neural Compute Stick )
Install OpenVINO™ toolkit for Raspbian* OS https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_raspbian.html
