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GitHub / Ujwal2910 / Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ujwal2910%2FSmart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision

Stars: 160
Forks: 56
Open issues: 1

License: mit
Language: Python
Size: 74.4 MB
Dependencies parsed at: Pending

Created at: about 7 years ago
Updated at: over 1 year ago
Pushed at: about 6 years ago
Last synced at: over 1 year ago

Topics: deep-learning, deep-reinforcement-learning, emulation, image-processing, indian-traffic, machine-learning, opencv, reinforcement-learning, rl-agent-learning, shadow-removal, simulation, simulation-environment, smart-traffic-signals, sumo, sumologic, traffic-analysis, traffic-simulation, video-processing, visionprocessing

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