https://github.com/shoamco/Mobileye-Project

Traffic light detection
https://github.com/shoamco/Mobileye-Project

numpy opencv python3 tensorflow traffic-light-detection

Last synced: about 1 month ago
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Traffic light detection

• Host: GitHub
• URL: https://github.com/shoamco/Mobileye-Project
• Owner: shoamco
• Created: 2020-01-06T10:58:41.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-02-18T09:52:09.000Z (almost 5 years ago)
• Last Synced: 2024-06-24T02:38:42.515Z (6 months ago)
• Topics: numpy, opencv, python3, tensorflow, traffic-light-detection
• Language: Jupyter Notebook
• Homepage:
• Size: 9.59 MB
• Stars: 10
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ExcellenTeam Mobileye Project 2019-11-05

## Team Members

* Elia Edery

* Shoam Cohen

## Phase 1:Traffic Lights Attention

Detected light source in an image using high pass filter and local maxima.

## Phase 2:Traffic Light Detection and Processes data,

creating data for the tarining.

Built and trained CNN in order to determine a traffic light.

## Phase 3:

Measured the geometric distance of each traffic light with SFM and Epipolar Geometry. 

## Libraries/Technologies Used

* python 3.7

* numpy

* matplotlib

* jupyterlab

* opencv

* tensorflow