Computer Vision : Master OpenCV in Python
Unlock the possibilities of Computer Vision
Updated on May, 2024
Language - English
Artificial Intelligence,Python
Lectures -40
Resources -1
Duration -3.5 hours
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Course Description
Computer vision is an exciting field that has been rapidly growing in recent years. It involves the development of algorithms and techniques that enable machines to interpret and understand visual data from the world around them. OpenCV, or Open Source Computer Vision Library, is a widely-used open source software library for computer vision applications.
Learning OpenCV and computer vision is an important and valuable skill in today's digital age. It has a wide range of applications in various industries, and can lead to exciting career opportunities. By mastering the fundamentals of computer vision and OpenCV, you can be at the forefront of this rapidly-growing field and contribute to its future development.
Goals
- Proper Understanding of Numpy Module
- How OpenCV works with image / video files
- Manipulate Images with OpenCV & Numpy
- Draw Geometric Shapes on Images
- Geometric & Morphological Transformations on Image
- Brightening & Darkening of Images
- Live Sketch Using OpenCV
- Live Video Feed using Streamlit
- Image Inpainting Techniques
- Face & Eye Detection using Haar Cascade Algorithm
- Face Mask Detection
Prerequisites
- A good knowledge of Python Commands
- Webcam for live video feed projects
- Strong desire to learn and explore the subject matter.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Welcome!
01:54
01:54
Numpy Basics
4 Lectures
Geometric Shapes on Images using OpenCV
5 Lectures
Geometric Transformations
3 Lectures
Morphological Transformations
2 Lectures
Canny Edge Detector
1 Lectures
Brightening & Darkening of Images
1 Lectures
Image Blurring
6 Lectures
Image Thresholding
2 Lectures
Corner Detection
1 Lectures
Restoration of Images
1 Lectures
Live Sketch Using Webcam
1 Lectures
StreamLit
3 Lectures
Face Detection
5 Lectures
Face Mask Recognition Project
4 Lectures
Instructor Details
Radha Kumari Ray
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