[EN] Open Sourced ALPR/ANPR Solution! скачать в хорошем качестве

[EN] Open Sourced ALPR/ANPR Solution!

I really like playing around / fine-tuning existing AI's into my projects. To be honest, I tried developing AI's multiple times, and it's just (currently) not for me. This project is an example of me playing around with multiple AI's, mashing (and fine-tuning) them together and creating something that helps gatekeepers at VPSR. This program repeatedly checks Main Gate camera, tries to find a car, and if it finds a car, it detects its licence plate and sends it right to the gatekeepers (picture + text). It achieves this with fine-tuned yolov8 and tesseract. It was a really interesting project, and needless to say, it was a fun 2023 summer break! ####### Chapters ####### 00:00 Intro 00:16 Project Overview 00:23 YOLOv8 Training 00:39 WebSocket & Matching Server 00:56 Client Overview 00:59 Clone the Repository 01:26 Install Dependencies 02:17 Start the Server 02:42 Database Setup 03:12 Configure Environment 05:00 Skip-Before-YMAX Setting 05:33 Server Running 06:01 Start the Client 06:41 Demo Client 07:05 Train Your Own Model 07:26 Prepare Dataset 08:01 Start Training 08:27 Test the Model 08:49 Outro ####### References ####### Github repository: https://github.com/TDiblik/main-gate-... Pytorch install command generator: https://pytorch.org/#:~:text=Aid%20to... Tesseract docs: https://tesseract-ocr.github.io/tessd... ####### Socials ####### Github: https://github.com/TDiblik/ Personal website: https://tomasdiblik.cz/ LinkedIn:   / tdiblik   ####### Acknowledgements ####### Song: ROY KNOX - Closer [NCS Release] Music provided by NoCopyrightSounds Free Download/Stream: http://ncs.io/rk_closer Watch: http://ncs.lnk.to/rk_closerAT/youtube ############################# Make sure to ░██████╗██╗░░░██╗██████╗░░██████╗░█████╗░██████╗░██╗██████╗░███████╗ ██╔════╝██║░░░██║██╔══██╗██╔════╝██╔══██╗██╔══██╗██║██╔══██╗██╔════╝ ╚█████╗░██║░░░██║██████╦╝╚█████╗░██║░░╚═╝██████╔╝██║██████╦╝█████╗░░ ░╚═══██╗██║░░░██║██╔══██╗░╚═══██╗██║░░██╗██╔══██╗██║██╔══██╗██╔══╝░░ ██████╔╝╚██████╔╝██████╦╝██████╔╝╚█████╔╝██║░░██║██║██████╦╝███████╗ ╚═════╝░░╚═════╝░╚═════╝░╚═════╝░░╚════╝░╚═╝░░╚═╝╚═╝╚═════╝░╚══════╝ ####### ⚠️ Disclaimer ###### The content of this video represents solely my personal views, opinions, and interpretations. It does not constitute an official position, recommendation, or professional statement of my employer, colleagues, partners, or any organization with which I have any relationship. I am appearing here as a private individual, outside the scope of my work duties. The information presented in the video is general and for informational purposes only. It is not intended as expert, professional, or technical advice. No decisions should be made based on this information without consulting a qualified specialist. Viewers act entirely at their own risk. I provide no guarantees regarding the completeness, accuracy, or timeliness of the information in the video, which may be subjective, incomplete, or outdated over time. I am not liable for any damages or consequences arising from the use, interpretation, or misinterpretation of this content. Any resemblance to internal processes, procedures, or information is unintentional and purely coincidental. The video does not disclose any non-public, confidential, or protected information.