Learn OpenCV using Python With Practice

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 37 lectures (3h 28m) | Size: 776.9 MB

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 & Recognition

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