GitHub / ablanco1950 / LicensePlate_Labeled_MaxFilters
From images of cars in which their license plates have been labeled, and passing filters, their recognition is attempted by pytesseract . As there is not a single filter that works for all the licensess, it is tried with several filters and The license plate number that has been detected the most times is assigned.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ablanco1950%2FLicensePlate_Labeled_MaxFilters
PURL: pkg:github/ablanco1950/LicensePlate_Labeled_MaxFilters
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 3.85 MB
Dependencies parsed at: Pending
Created at: almost 3 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago
Topics: clahe, computer-vision, cv2, image-classification, image-processing, kaggle-dataset, label, license-plate-recognition, machine-learning, object-detection, ocr, opencv, otsu, pascal-voc, pytesseract, python, roboflow, sharpen