GitHub / F3rkZzz / Basic_License_Plate_Recognizer
This is a desktop application designed to recognize and detect car license plates of the Russian Federation. The application uses a pre-trained neural network model on TensorFlow Lite to perform the task of recognizing license plates, and also provides a user-friendly interface created using Qt Designer.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/F3rkZzz%2FBasic_License_Plate_Recognizer
PURL: pkg:github/F3rkZzz/Basic_License_Plate_Recognizer
Stars: 4
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 78.1 KB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: almost 2 years ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Commit Stats
Commits: 13
Authors: 1
Mean commits per author: 13.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/F3rkZzz/Basic_License_Plate_Recognizer
Topics: license-plate-recognition, pyqt5, pyqt5-desktop-application, python, python3, qt, qt5, qt5-applications, qt5-gui, qtdesigner, russian-plate-recognition, tensorflow-lite