Skip to content

Latest commit

 

History

History
32 lines (19 loc) · 1.57 KB

README.md

File metadata and controls

32 lines (19 loc) · 1.57 KB
Raw

Object Detection Tutorial with OpenCV

Welcome to this small tutorial on object detection using OpenCV and the MobileNet deep learning model. This repository provides a step-by-step guide to help you understand and implement object detection and text recognition in images. It's designed as a tutorial for learners to get started quickly.

Installation

To install and use this project, you can follow these steps:

  • Clone the Repository bash git clone https://github.com/chaymabh/Object-Detection-OpenCV-Tutorial.git
  • Navigate to the Project Directory bash cd Object-Detection-OpenCV-Tutorial
  • MobileNet - Download the MobileNet model for object detection.
  • OpenCV - Install OpenCV library for image processing and computer vision.
  • Tensorflow - Install Tensorflow for deep learning capabilities.
  • easyocr - Install the easyocr library for text recognition.

How to Use

Follow these steps to go through this tutorial:

  1. Ensure you have all the dependencies installed as mentioned in the "Installation" section.

  2. Use the provided Jupyter Notebook, "object_detection.ipynb," which contains a step-by-step tutorial on object detection and text recognition in images.

  3. The notebook explains each concept and provides code examples for hands-on learning.

  4. Feel free to modify and experiment with the code to deepen your understanding.

License

This project is licensed under the MIT License. See the LICENSE file for details. License: MIT