Computer Vision : Master OpenCV in Python
Unlock the possibilities of Computer Vision
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.
![Computer Vision : Master OpenCV in Python Computer Vision : Master OpenCV in Python](https://d3mxt5v3yxgcsr.cloudfront.net/courses/14519/course_14519_image.png)
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Welcome! 01:54 01:54
Numpy Basics
4 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Geometric Shapes on Images using OpenCV
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Geometric Transformations
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Morphological Transformations
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Canny Edge Detector
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Brightening & Darkening of Images
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Image Blurring
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Image Thresholding
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Corner Detection
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Restoration of Images
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Live Sketch Using Webcam
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
StreamLit
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Face Detection
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Face Mask Recognition Project
4 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
![Radha Kumari Ray](https://www.tutorialspoint.com/assets/profiles/235404/profile/200_2213691-1677447491.jpg)
Radha Kumari Ray
Hey , I'm Radha ! I'm a python programmer , tech enthusiast , technical trainer & educator for Data Science , Machine Learning & Computer Vision. I have worked as a Python & Java Developer in previous companies. I'm fond of teaching IT related topics through video tutorials , online classes. Java, Spring Boot, Hibernate, Python, Web Development, Flask, Streamlit, Neural Networks, Docker, and NLP are a few of the technologies I am familiar with. I've been working on academic articles about deep learning and neural networks. 5px;">
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