Python 3 Advanced Computer Vision with OpenCV & Scikit image (Part 4/Last Part)

Python 3 Advanced Computer Vision with OpenCV & Scikit image (Part 4) Last Part

Description:
Become a Master in Image Processing and Computer Vision with Python 3 and acquire employers’ one of the most requested skills of 21st Century! An expert level Image Processing and Computer Vision Professional can earn well for him/herself.

Who this course is for:
Computer Vision and image Processing Professionals
Data Science Professionals: Data Scientists and Data Engineers
Robotics and Machine Vision Professionals
AI and Machine Learning Professionals
Scientists, Mathematicians, Physicists, and Engineers
Python Developers and Programmers
Managers and Business Professionals
Anyone who wants to learn

Requirements
Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to learn new things
a burning desire to take your career to the next level
Basic Programming and Python Programming Basics

Content:

18. KMeans Clustering and Quantization
1. KMeans
2. KMeans for 1D and 2D data

19. Scikit-image Installation on Windows PC and Raspberry Pi
1. Install SciPy on Windows
2. Install SciPy on Raspberry Pi
3. Scikit-image Installation on Windows
4. Scikit-image Installation on Raspberry Pi

20. Scikit-image Basics
1. Getting started
2. Shapes Shapes
3. Colorspace Conversion

21. Feature Detection
1. Canny Edge Detection
2. Harris Corner Detection

22. Advanced Operations with OpenCV
1. Optical Flow
2. Background Subtraction
3. Swirl on Live Video
4. Segmentation on Live Video