Complete OpenCV using Python 2018
Duration: 3.5 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 1.7 GB
Genre: eLearning | Language: English + Sub | 23 Lectures

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The most in-depth course on OpenCV and Computer vision with hand-on projects to help you master the subject with Python.

What you'll learn
This is a complete hands on course for anyone who wants to understand computer vision with openCV
Drawing Shapes using OpenCV
Students will learn Image Processing functions Image Translation , Image Resizing, Image Rotation Image Flipping
How Image Arithmetic affects the images
Bitwise Operations like AND, OR, XOR, NOT using Images
Masking
Splitting an Image into its constituents and Merging the image back
Colorspaces
Histograms
Histogram Equalization
Thresholding
Gradients , Edge detection and Contours
Interesting Projects like Face Detection, Face Database creation, OCR and many others

Requirements
Basic Python Programming
High School Maths

Description
Are you looking for a complete course on OpenCV where you can learn about the basics of each concept in Computer Vision?

Do you want to build exciting projects using OpenCV and Computer Vision?

Do you want to join the exciting field of Computer Vision?

Well, then this course is for you. In this course, you will go from zero experience with OpenCV to becoming a master of OpenCV and use that knowledge to build and develop interesting projects. So, hop in aboard and join me in this Complete course on OpenCV using Python.

Who is the target audience?
This course is for anyone who wants to go from zero to understanding how to write real applications using OpenCV and host it as a service for their business applications.