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.
No commits in the last 6 months.
Use this if you need a highly accurate way to classify traffic signs from images, especially within research or development for self-driving vehicles or road safety applications.
Not ideal if you need a system for detecting or classifying objects other than standard traffic signs.
Stars
41
Forks
5
Language
Lua
License
MIT
Category
Last pushed
Oct 18, 2018
Commits (30d)
0
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