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Vehicle Detection

Project 5 in Udacity self-driving car nanodegree: vehicle detection and tracking

simulator test test

Description of our implementation is available here.

Setup

Follow instructions here to set up Anaconda environment. You can verify that your environment is set up correctly using the instructions here.

Files

  • Vehicle Detection.ipynb - Jupyter notebook with the code.
  • writeup.md - description of vehicle detection and tracking pipeline.
  • examples - folder of images used to illustrate the pipeline
  • output_videos - folder of test videos with detected objects, created by the code in Vehicle Detection.ipynb.

Usage

After setting up the environment, open Vehicle Detection.ipynb in Jupyter notebook and run all the cells.

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Project 5 in Term 1 of Udacity self-driving car nanodegree

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