Video Analytics Using OpenCV and Python Shells
Video Analytics Using OpenCV and Python Shells
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 1.35 GB
Duration: 2 hours | Genre: eLearning | Language: English
Through this training we shall understand and learn how to perform video analysis with OpenCV.
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 1.35 GB
Duration: 2 hours | Genre: eLearning | Language: English
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
