https://www.udemy.com/course/opencv-for-python-developers

OpenCV with Python

What you'll learn: 

Learn OpenCV with Python

Learn Basic Operations with OpenCV

Learn Pixel Data

Learn Data Types, Structures, Image Types, Colour Schemas/Channels

Learn Pixel Manipulation and Filtering

Learn Blur, Dilation and Erosion

Learn Scale and Rotate Images and use input videos

Learn Object Detection with OpenCV

Learn Segmentation and Binary Images

Learn Simple and Adaptive Thresholding

Learn Skin Detection

Learn Contours and Object Detection

Learn Area, Perimeter, Centre and Curvatures

Learn Canny Edge Detection

Learn Face Detection with OpenCV

Learn Template Matching

Learn Haar Cascading

Learn Face & Eye Detection

Requirements:

Some programming experience

Passionate to learn the stuff

This course is meant for people with at least some programming experience

Description:

OpenCV is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage then Itseez. The library is cross-platform and free for use under the open-source Apache 2 License.(Wikipedia)

It is one of the most popular tools for facial recognition, used in a wide variety of security, marketing, and photography applications, and it powers a lot of cutting-edge tech, including augmented reality and robotics. This course offers Python developers a detailed introduction to OpenCV 3, starting with installing and configuring your Mac, Windows, or Linux development environment along with Python 3. Learn about the data and image types unique to OpenCV, and find out how to manipulate pixels and images. Then comes the real power of OpenCV: object, facial, and feature detection. Learn how to leverage the image-processing power of OpenCV using methods like template matching and machine learning data to identify and recognise features.

Introduction to OpenCV

Installation & Personalisation

Basic operations

Pixel Data, Data Types, Structures

Pixel manipulation & filtering

Object Detection with OpenCV

Segmentation & Binary Images

Simple & Adaptive Thresholds

Contours , Area perimeters, Center & Curvature  

Object, Canny Edges Detection

Assignments

Areas of Application 

2D & 3D Toolkits

Egomotion Estimation 

Facial & Gesture recognition 

Human computer interaction 

Mobile robotics 

SFM

Motion Tracking 

Augmented Reality 

Object Detection 

Segmentation & RecognitionWho this course is for:Have some programming experiences who wants to enter in computer vision and object detection world in data science!

Who this course is for:

Have some programming experiences who wants to enter in computer vision and object detection world in data science!