Computer Vision

This repository contains code for computer vision techniques on live video feed.

Table of Contents

• Installation
• Usage
• Techniques

Installation

Python3 is required to run this program. It can be installed from here if needed.

To avoid dependency conflicts, it is recommended to use a virtual environment. You can create and activate one using the following commands:

On Windows:

python -m venv venv
venv\Scripts\activate

On macOS/Linux:

python3 -m venv venv
source venv/bin/activate

To install the necessary dependencies, run:

pip install -r requirements.txt

A video apparatus (such as a webcam) will be needed to run the program. A phone can also be used by using the DroidCam app

Usage

To run the code, you can use the following command:

python main.py <method_name>

Multiple methods can also be run in succession:

python main.py <method_name_1> <method_name_2>

Running the object_detection script

Prerequisites

Before running the object_detection.py script, navigate to the object_detection folder

1. Navigate to the object_detection folder using the following command:

   cd object_detection

2. Install the dependencies from object_detection_requirements.txt

   pip install -r object_detection_requirements.txt

3. Run the Script: Execute the object_detection script using:

   python object_detection.py

Techniques

This repository includes implementations of the following computer vision techniques:

• color masking
• contours
• sobel filter
• laplacian filter
• convolutional neural network