CG数据库 >> Python for Computer Vision with OpenCV and Deep Learning

BESTSELLER | Video: AVC AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 13.5 Hours | Lec: 87 | 5.41 GB | Genre: eLearning | Language: English | Sub: EnglishLearn the latest techniques in computer vision with Python , OpenCV , and Deep Learning!What you'll learnUnderstand basics of NumPyManipulate and open Images with NumPyUse OpenCV to work with image filesUse Python and OpenCV to draw shapes on images and videosPerform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.

Create Color Histograms with OpenCVOpen and Stream video with Python and OpenCVDetect Objects, including corner, edge, and grid detection techniques with OpenCV and PythonCreate Face Detection SoftwareSegment Images with the Watershed AlgorithmTrack Objects in VideoUse Python and Deep Learning to build image classifiersWork with Tensorflow, Keras, and Python to train on your own custom images.

RequirementsMust have clear understanding of Python BasicsWindows 10 or MacOS or UbuntuMust have Install Permissions on ComputerWebCam if you want to learn the video streaming contentDescriptionThis course covers all this and more, including the following topics:NumPyImages with NumPyImage and Video Basics with NumPyColor MappingsBlending and Pasting ImagesImage ThresholdingBlurring and SmoothingMorphological OperatorsGradientsHistogramsStreaming video with OpenCVObject DetectionTemplate MatchingCorner, Edge, and Grid DetectionContour DetectionFeature MatchingWaterShed AlgorithmFace DetectionObject TrackingOptical FlowDeep Learning with KerasKeras and Convolutional NetworksCustomized Deep Learning NetworksState of the Art YOLO Networksand much more!Who is the target audience?Python Developers interested in Computer Vision and Deep Learning.

This course is not for complete python beginners.


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发布日期: 2018-12-02