Learning Computer Vision

Introduction

• Computer vision is a field of artificial intelligence that enables computers to interpret and make decisions based on visual data.
• It has applications in various domains such as healthcare, automotive, robotics, and more.
• This guide will introduce you to basic computer vision concepts and techniques using Python libraries such as open cv and deep learning frameworks.

Table of Contents

1. Installation
2. Data Loading and Preprocessing
3. Basic Image Operations
4. Feature Detection
5. Object Detection
6. Image Classification
7. Segmentation
8. Further Reading

Installation

First, ensure you have the necessary libraries installed. You can install them using pip:

pip install opencv-python opencv-python-headless numpy matplotlib

Further Reading

• OpenCV Documentation

• TensorFlow Documentation

• PyTorch Documentation

• Deep Learning for Computer Vision

  Object Detection

  • Run notebook on google colab
  • Add file path of image to use.

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• Yolo Sample notebook
• Image path