Video Analytics using OpenCV and Python Shells

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

The goal behind providing this open CV training program is to make individuals proficient with the use of open CV library that is commonly used for developing computer vision applications. Open CV is a cross-platform library that is normally used for developing real-time computer vision applications that use visual aesthetics, image processing, video capture, etc. The training abs and bridging the gap between the industry demand and the individual skillset by providing this industry-ready training on an open CV. With the help of this training program, participants would be able to understand the concepts of open CV and can implement their knowledge in the industry easily.

With the help of this training program or open CV, individuals would be able to understand the core concepts of open CV and camp detail about the course as per their eagerness to learn new things. The quality and output of the training depend on the efforts that a participant will put in practicing and revising the skills and concepts taught in the training program. Many schools will learn throughout the training like data science, data visualization, video analytics, Open CV, Python, linear algebra, probability, business analytics, predictive analysis, random forest, etc. once an individual becomes proficient with the use of these technologies there ample of opportunities that are open for the individuals as the market is demanding these skills to a great extent and ready to offer opportunities like data analyst, business analyst, statistician, quality engineer, quality manager, consultant, software test engineer, statistical analyst, team leader opportunities that are open for the individuals.