GitHub / Vicondrus / Roadster
In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vicondrus%2FRoadster
PURL: pkg:github/Vicondrus/Roadster
Stars: 10
Forks: 2
Open issues: 0
License: None
Language: Python
Size: 470 MB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: over 2 years ago
Pushed at: over 4 years ago
Last synced at: over 2 years ago
Topics: gtsrb-dataset, image-processing, machine-learning, pyimagesearch, python, tensorflow, traffic-sign-classification, traffic-sign-detection, traffic-sign-recognition