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Vehicle_Detection_and_Tracking

  • Create an Anaconda environment using conda env create -f environment.yml --name car_environment within the repo
  • Activate the Anaconda environment using source activate car_environment
  • Run jupyter notebook P5_Vehicle_Detection_and_Tracking.ipynb within the repo

Starter Jupyter notebook and data provided by Udacity

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Use a Histogram of Oriented Gradients (HOG), Spatial Binning of Color, Histograms of Color, a Linear Support Vector Machine and multi-scale sliding windows for vehicle detection and tracking

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