https://github.com/dkniffin/bing-imagery

Bing streetside feature detector
https://github.com/dkniffin/bing-imagery

Last synced: 2 months ago
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Bing streetside feature detector

• Host: GitHub
• URL: https://github.com/dkniffin/bing-imagery
• Owner: dkniffin
• Created: 2014-10-13T23:32:03.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2015-05-01T21:37:56.000Z (about 10 years ago)
• Last Synced: 2025-03-23T08:12:05.090Z (2 months ago)
• Language: JavaScript
• Homepage: http://oddityoverseer13.github.io/bing-imagery/webapp/
• Size: 3.48 MB
• Stars: 4
• Watchers: 5
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
StreetSideCV

============

StreetSideCV is a web application for running object detections on Bing's

[StreetSide](http://www.microsoft.com/maps/streetside.aspx) imagery, using

[OpenCV](http://opencv.org/). The project is powered by

[node.js](https://nodejs.org/), and uses a [mysql](https://www.mysql.com/)

database backend to save detections.

![Screenshot](screenshot.png)

Installation

------------

- Install opencv

  - Install it via your chosen package manager, if it's available

  - Hint for windows: check out [chocolatey](https://chocolatey.org/)

  - Otherwise, you can find OpenCV's install instructions [here](http://docs.opencv.org/doc/tutorials/introduction/linux_install/linux_install.html).

- Install [node.js](https://nodejs.org/)

- Install mysql

- `npm install` - installs dependencies

- Copy contents of schema.sql into mysql terminal to setup database

Usage

-----

- `node app.js` - starts the application (may require sudo, if there's port conflicts)

- go to http://localhost:4000

- Select a box where you'd like to find detections

  - Location links are available to zoom to specific locations

- Hit start, and see detections pop up on the map!