HalaHamdi / Vehicle_Detection

Vehicle detection using image processing and classical machine learning

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Vechile Detection

Project Description

Vehicle detection using image processing and classical machine learning

Project Dependencies

  • skimage version '0.18.1'
  • sklearn version '0.24.1'
  • numpy version '1.20.1'
  • cv2 version '4.2.0'
  • matplotlib version '3.3.4'

Downloading Dataset Guidelines

  • Download both vehicle and non-vehicle datasets inside a folder named "train data" at the same hierarchical level as the "Car detection project.ipynb".
  • Dataset Download Links Vehicle images Non-vehicle images
  • Or replace the paths in the following line with the paths you'd like to save the dataset at. line of code to change the dataset path

How to use the project:

  • Open the integration.ipynb file in a Jupyter notebook.

  • In the following line, replace the string 'trimmed4.mp4' with a string containing the name of the video you want to run the project on.

    line of code to take the input video name

  • Run all cells.

About

Vehicle detection using image processing and classical machine learning

License:MIT License


Languages

Language:Jupyter Notebook 99.4%Language:Python 0.6%