Automatic number plate recognition with Python, Yolov8 and EasyOCR | Computer vision tutorial

preview_player
Показать описание

🎬 Timestamps ⏱️

0:00 Intro
0:30 Start
1:44 Data
2:28 License plate format
5:00 License plate detection dataset
6:00 Code walkthrough
7:24 Main process
43:45 Get car id
51:34 License plate reader
59:57 Data cleaning and visualization
1:10:09 Outro

🌍 Community 👥


# Hashtags #

#python #computervision #anpr #licenseplaterecognition #objectdetection #objecttracking #yolov8 #easyocr
Рекомендации по теме
Комментарии
Автор

Did you enjoy this video? Try my premium courses! 😃🙌😊

All my premium courses are available to the Computer Vision Experts in my Patreon. 😉

ComputerVisionEngineer
Автор

I am working on something and this video was incredibly useful ! Thanks so much for that amazing content. You are the best.

otaviocastelani
Автор

Your videos are so clearly explained and helpful! Also I love your accent. I really would like to use this knowledge to build a live stream that saves the plates of the idiots that use the emergency lane...

wehappyfewkd
Автор

Hola Felipe,
muchas gracias por tus videos! Me has ayudado muchísimo en mi primera entrada en el mundo de la detección de objetos.
Buen trabajo y muchos saludos!

kusqui
Автор

Just have to say someone who can actually explain the whole process in a way non-datascientists can understand. Have also watched your video about creating custom dataset annotations - another excellent video. Thank you.

dkryptonut
Автор

That's a great video! Thank you very much <3

THuynh
Автор

Nuevo suscriptor, arrancando en data science y computer vision. Admiro muchisimo tu nivel de ingles, felicitaciones y ojala algun dia hable como vos!
Saludos de Arg!!

SANTIAGOHERNANDEZ-jnid
Автор

Super man ) Thank you for your time and effort

YMuhammadyusuf
Автор

You are a BEAST!! :) many thanks for your video mate :)

samz
Автор

Very nice! i maked a project like this about year ago, now i will watch your video for improves, tnx for sharing.

leo
Автор

This is excellent work good sir. Keep being awesome.

joels
Автор

amazing tutorial. thanks for sharing it.

jasurbekgopirjonov
Автор

Great Video Felipe ! Muchisima gracias

agossadoumodeste
Автор

you're doing great! thanks a lot 👌...

ProgrammingNusantara
Автор

Great video and explaination, I have a question regarding filtering out the number plate and retaining only the frame with the highest confidence level in my use case. I'm performing license plate detection and OCR without car detection. Will this approach be suitable for my use case?

ArtistrystoriesUnleashed
Автор

Hello, i love your please can it also identify plate numbers from other countries or its just from what you used to train it

chanc
Автор

Hi, thank you for the content you create. i think you are the best out there on this topics. you said the pre-trained models are available on your patreon page what are the requirements to get it (i mean besides supporting this this great tutorials get published). or if there is any video of you showing how you trained the model on cocco dataset for example i would appreciate it. thank you.

ashenafimorkate
Автор

Thanks for all these videos Felipe. Could you make a video about hyperparameters tuning for training the plate recognition model and improve the model performance?

nahuelmontesino
Автор

I have followed the code but instead of SORT used deepsort but I keep getting an error "non-iterable track object". I have printed the tracks and the values are present . It seems to be occuring at the point when I call get_vehicle. What could be the issue?

habibty
Автор

hi sir i have to make a project on yolo v8 in my final m.phil thesis can you please guide me can we use yolo v8 for object detection on low light data ?

areeqakhan