Mapsy makes it easier to view the current status of road conditions, especially during periods of inclement weather. By viewing realtime CCTV images at major intersections, users may determine whether or not the road conditions are safe for travel.
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
Don't forget to give the project a star! Thanks again!
Fork the Project
Create your Feature Branch (git checkout -b feature/AmazingFeature)
Commit your Changes (git commit -m 'Add some AmazingFeature')
Push to the Branch (git push origin feature/AmazingFeature)
codyduong/mapsy
Analyzing images from CCTV to determine road status
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Table of Contents
About The Project
Mapsy is an interactive web app that analyzes CCTV imagery and weather data to determine realtime road conditions in Lawrence, KS.
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Built With
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Getting Started
Prerequisites
Make sure you have Node.js installed: https://nodejs.org/
Installation
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Usage
Mapsy makes it easier to view the current status of road conditions, especially during periods of inclement weather. By viewing realtime CCTV images at major intersections, users may determine whether or not the road conditions are safe for travel.
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Roadmap
See the open issues for a full list of proposed features (and known issues).
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Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
git checkout -b feature/AmazingFeature
)git commit -m 'Add some AmazingFeature'
)git push origin feature/AmazingFeature
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License
Distributed under the MIT License.
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