traffic-sign-detection and tsr-torch
About traffic-sign-detection
aarcosg/traffic-sign-detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
This project provides pre-trained models and code for automatically identifying traffic signs in images or video. It takes raw image data as input and outputs the location and type of traffic signs present. This is designed for researchers and engineers developing advanced driver-assistance systems (ADAS) or autonomous vehicle technology.
About tsr-torch
aarcosg/tsr-torch
Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".
This project offers a robust system for automatically identifying traffic signs from images. You input pictures containing various traffic signs, and the system outputs accurate classifications of what those signs are. This is ideal for researchers or engineers working on autonomous driving systems or intelligent transportation infrastructure who need to reliably classify road signs.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work