Udemy – Python Image Processing, Face & Motion Detection with OpenCV 2022-11

Python Image Processing, Face & Motion Detection with OpenCV Course. This course is a comprehensive guide to learning image processing, face detection, and motion detection using Python and the OpenCV library. Designed for beginners, this course introduces you to the basic concepts of machine vision and teaches you the skills needed to build image and video processing applications. The course comes with a free e-book titled “Face Detection and Image Processing in Machine Vision with Python.” During the course, you will set up your development environment with PyCharm, NumPy, and OpenCV and learn how to process images with NumPy. You will also learn techniques for loading and displaying images and videos, implementing face and eye detection algorithms with the Haar Cascade Classifier, working with mouse events, image thresholding, visualization with Matplotlib, morphological transformations such as erosion and dilation, image filters, Image Pyramids, and Contour analysis. With hands-on exercises, projects, expert guidance, and real-world examples, this course is suitable for developers and machine vision enthusiasts.

What you will learn

• Using OpenCV to work with image files.
• Understand the principles of machine vision and image processing.
• Using Python and OpenCV to draw shapes on images and videos.
• Getting started with image manipulation in OpenCV, including smoothing, blurring, thresholding, and morphological operations.
• Learn the basics of image manipulation in OpenCV using Python, along with a quick review of Python basics.
• Opening and playing video with Python and OpenCV.
• Object detection, including corner, edge, and network detection techniques with OpenCV and Python.
• Building facial recognition software using Haar Classifier.
• Introduction to a collection of the most powerful machine vision models.
• Understand the theory behind machine vision.
• Building powerful machine vision applications.

This course is suitable for people who:

• Anyone interested in data science, machine vision, or artificial intelligence.
• Beginners who want to get started with Python machine vision using OpenCV.
• Anyone interested in building machine vision applications.
• Anyone who wants to improve their programming skills this year.
• Anyone who wants to advance their career in Python programming.

Python Image Processing Face & Motion Detection with OpenCV Course Details

• Publisher:  Udemy
• Instructor:  Emenwa Global , George Steve , Juliet Rona
• Training level: Beginner to advanced
• Training duration: 10 hours and 59 minutes

Course syllabus in 2025/5

Prerequisites for the Python Image Processing Face & Motion Detection with OpenCV course

Course images

Sample course video

Download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 1 GB

Download Part 5 – 209 MB

File(s) password: www.downloadly.ir

File size

4.2 GB