VGG16-Image-Detection-using-Flask

Overview

A web application using Flask and the VGG16 deep learning model. It takes a video (max: 10Mb) and the user supplies the name of any object and the application using the VGG16 model and OpenCV to split the video into frames, analyses each frame and then returns all the frames that contain the object.

Group Members

Tapiwa Maguwu R178454A

Thandolwenkosi Mhlanga R178451D

Demonstration Video

https://drive.google.com/file/d/1HgUOFvZ0f53oQHJJoCqhaXmoznI3xGu_/view?usp=sharing

VGG16 Training and Example (Colab File)

https://colab.research.google.com/drive/1YdMFlCCs3P2WJQ1C1dVVF-4i9Fc5TX8n?usp=sharing

How to Install

To install and run the application follow these steps:

1. create virtual virtual environment

python -m venv flask_demo

2. activate virtual environment

flask_demo\Scripts\activate

3. install packages from requirements.txt

python -m pip install -r requirements.txt

4. running application

flask run