Description
Python Computer Vision for Image Processing & Face Detection is a course on how to process, analyze, and understand images using Python and computer vision techniques, published by Udemy Online Academy. Designed for Python developers, aspiring AI engineers, students, and computer vision enthusiasts, this course covers the fundamentals of digital image processing and moves on to practical applications of face recognition. Designed for beginners, this course guides you through the fascinating world of computer vision and equips you with the skills to create your own image and video processing applications.
Students learn how to work with images and video, manipulate pixels, resize and transform images, apply filters, detect edges and shapes, extract visual information, and implement face recognition using computer vision libraries and algorithms. Computer vision is concerned with the automatic extraction, analysis, and understanding of useful information from a single image or sequence of images. The field involves developing a theoretical and algorithmic basis for achieving automated visual perception. As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. Image data can take many forms, such as video sequences, multiple camera views, or multidimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply its theories and models to the construction of computer vision systems.
What you will learn in Python Computer Vision for Image Processing & Face Detection:
- Use OpenCV to work with image files
- Understanding the fundamentals of computer vision & image processing
- Use Python and OpenCV to draw shapes on images and videos
- Get started with image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
- OpenCV Image Manipulation Fundamentals using Python. Also includes a Python basics refresher session.
- Open and Stream video with Python and OpenCV
- Detect Objects, including corner, edge, and grid detection techniques with OpenCV and Python
- Create Face Detection Software Using Haar Classifier
- Have a toolbox of the most powerful Computer Vision models
- Understand the theory behind Computer Vision
- Create powerful Computer Vision applications
- and …
Course specifications
Publisher: Udemy
Instructors: Emenwa Global, George Steve, Juliet Rona and Chris Mendes
Language: English
Level: Introductory to Advanced
Number of Lessons: 61
Duration: 10h 46m
Course topics
Python Computer Vision for Image Processing & Face Detection Prerequisites
Basic Python programming knowledge
Pictures
Python Computer Vision for Image Processing & Face Detection introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
4.8 GB