CG数据库 >> Video Analytics Using OpenCV and Python Shells

.MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 2 hours | Size: 1.35 GBThrough 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 analyticsRequirementsBasic knowledge of PythonDescriptionOpenCV (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 detectionColor models- HSL model, HSV model, RGB modelImage loadingImage thresholdingBlob detectionMotion DetectionCapture video from videoCapture video from video fileBackground subtractionSaving videoColorspace based trackingCamshift algorithmOptical flow based trackingFace detectionContour based trackingWho is the target audience?Beginner knowledge of Statistics


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发布日期: 2018-10-11