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Cars Detection

Built Using

Python html-css-js Flask OpenCV NumPy

Visit the Web Application deployed on render

About

Web Application to detect and count cars in an image using haar cascade.

Sample Image: https://a57.foxnews.com/media.foxbusiness.com/BrightCove/854081161001/201805/2879/931/524/854081161001_5782482890001_5782477388001-vs.jpg

See the implementation details with IPython Notebook

Getting Started

This Project is Built With Anaconda VSCode Render

Installation

To use the app on local machine, open Anaconda Prompt and run the following commands:

  1. Clone the Repository
git clone https://github.com/Pranav-Nagpure/Cars-Detection.git
  1. Change Working Directory
cd Cars-Detection
  1. If needed create a Virtual Environment and activate it
conda create -n environment_name python=3.10
conda activate environment_name
  1. Install the requirements
python -m pip install -r requirements.txt
  1. Run the App
python app.py
  1. Open the URL generated in a browser to use the App

  2. You can use images in the sample_images folder

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