/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.

Primary LanguageJupyter Notebook

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.