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Video Analytics Using OpenCV and Python Shells


.MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 2 hours | Size: 1.35 GB

Through this training we shall understand and learn how to perform video analysis with OpenCV.

What Will I Learn?

Students and professionals who are interested in learning robotics and biometrics.
People who are very keen about learning Video analytics

Requirements

Basic knowledge of Python

Description

OpenCV (Open Source Computer Vision Library) is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces. Computer vision applications and technology are blowing up right now! With several apps and industries making amazing use of the technology.

Through this training we shall understand and learn how to perform video analysis with OpenCV.

The training will include the following;

Object detection

Color models- HSL model, HSV model, RGB model

Image loading

Image thresholding

Blob detection

Motion Detection

Capture video from video

Capture video from video file

Background subtraction

Saving video

Colorspace based tracking

Camshift algorithm

Optical flow based tracking

Face detection

Contour based tracking

Who is the target audience?

Beginner knowledge of Statistics

 Video Analytics Using OpenCV and Python Shells

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