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Last Update: 10/2019
Duration: 10h59m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 4.22 GB
Genre: eLearning | Language: English
Hands on Practical Examples with OpenCV & Python
What you'll learn:
Basics of NumPy
Face Detection with OpenCV
Draw shapes on images and videos with OpenCV
Smoothing, blurring, thresholding, and morphological operations with OpenCV
Objects Tracking with OpenCV
Histograms with OpenCV
Find Car Lane lines with OpenCV
Requirements:
Basic programming skills in python language python would be beneficial.
A Windows, Mac or Linux computer.
All you need is a PC and a working internet connection
Description:
Welcome to this on OpenCV Python Tutorial For Beginners. OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python. it is Open Source and free. opencv is easy to use and install.
The goal of this course is to provide you with a working knowledge of OpenCV with Python. We'll start with the basics, starting from installing OpenCV with Python on Windows, Mac, and Ubuntu. Then we will see how to create your first OpenCV python script. Then we will dive deep into the amazing world of computer vision Using OpenCV and learn the most important concepts about computer vision using OpenCV .
So Let's get started !!!
Who this course is for:
Anyone who wants to code
New Programmers and Developers
Beginners
Students
Homepage
http://www.udemy.com/course/opencv-python-for-beginners-hands-on-computer-vision
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