Custom Object (Licence Plate) Detection in Raspberry Pi with YOLO V8 and Python
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- čas přidán 8. 09. 2023
- Welcome to our tutorial on Custom Object (License Plate) Detection using YOLO V8 on a Raspberry Pi! 🚗🔍
In this step-by-step guide, we'll show you how to set up and implement YOLO (You Only Look Once) version 8 on your Raspberry Pi to detect license plates in images and video streams. License plate detection has a wide range of applications, including parking management, security systems, and more.
Here's what you can expect in this video:
🔹 Introduction to YOLO V8 and its improvements
🔹 Setting up your Raspberry Pi for deep learning
🔹 Installing the necessary libraries and dependencies
🔹 Downloading and configuring the YOLO V8 model
🔹 Preparing your custom dataset for license plate detection
🔹 Fine-tuning YOLO V8 for license plate recognition
🔹 Running real-time detection on your webcam
Github Repo: github.com/Arijit1080/Licence...
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⚠️📢Question. Im using roboflow on my surface pro 9 and steam deck my model is getting 5fps with this be faster? I need at least 30fps
My mothers village is getting very insecure and I need to catch the plates from vehicles that get in there. I think this will work just fine with 1fps. I'll definetly give it a try. Thanks so much for sharing
Hi, when I run " python ultralytics/yolo/v8/detect/predict.py model="best.pt" source="demo.mp4" show=true " I get a segmentation fault and nothing runs. How do I fix?
How do you run the rasp pi in the same panel of your computer?
how to reduce the lagging in raspberry pi?
why is so slow??
Good content, but reduce the “ok” words, tooo many, also sometimes you speed up speak which gives me hard time to hear pronunciation for some words.
Other than that, good content 😊
I think Arijiit is fine.. indian people always say "ok" for emphasis...it is just a culture