วันอาทิตย์ที่ 4 กันยายน พ.ศ. 2565

Raspberry pi YOLOv4 Object Detection with Intel Neural compute stick and OpenVINO

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 BochoknovskiyChien-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



Performance Compare



Reference


Source Code

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


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