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Source code for my team's project at Computer Vision Subject. The project is a Vehicle Detection Application on video file that using OpenCV Library. The project contains counter, classification labelling, and speed detection of vehicles.

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KrisnaDana/Vehicle-Detection

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Vehicle Detection

Source code for my team's project at Computer Vision Subject. The project is a Vehicle Detection Application on video file that using OpenCV Library. The project contains counter, classification labelling, and speed detection of vehicles.

Requirements

  • Jupyter Notebook.
  • Python 3.
  • PIP (package manager for Python).
  • Git (optional).

Installation

Use git command to install the project.

git clone https://github.com/KrisnaDana/Vehicle-Detection.git

Or download zip file of the project.

Configuration

Install necessary libraries using the following command.

pip install opencv-python
pip install numpy

Run the Project

  • Open the project using Jupyter Notebook.
  • Select a main.ipynb file.
  • Click Run All button.

Important Notes

  • The project perhaps can't be run on other video input.

About

Source code for my team's project at Computer Vision Subject. The project is a Vehicle Detection Application on video file that using OpenCV Library. The project contains counter, classification labelling, and speed detection of vehicles.

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