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OpenCV Computer Vision Application Programming

Course Summary

OpenCV's powerful computer vision application programming techniques to build and make your own applications stand out f


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    Course Syllabus

    • Getting Started with OpenCV
      • Introduction to OpenCV
      • Installation on Linux
      • Installation on Windows
    • OpenCV Basics
      • OpenCV Interfaces
      • C Interface Basics
      • C++ Interface Basics
      • Python Interface Basics
      • Drawing Shapes
    • Image Processing
      • Blurring an Image
      • Understanding Image Morphology
      • Applying Geometric Transforms to an Image
      • Understanding Histograms
    • Segmenting Images and Obtaining Interesting Points
      • Clustering Data with k-means
      • Segmenting an Image using the Watershed algorithm
      • Segmenting an Image using the Grabcut algorithm
      • Finding and Matching Interesting Points
    • Computational Photography
      • Creating a Panorama
      • Removing Unwanted Objects
      • Enhancing Low Light Images
      • Working with HDR Images
    • Recognizing Objects
      • Detecting Shapes
      • Detecting Faces
      • Detecting People
      • Training your own detector
      • Recognizing faces
    • Calibration and Stereo Images
      • Calibrating the Camera
      • Undistorting an Image
      • Projecting an Image
      • Understanding Stereo Images
      • Generating a Depth Map


Course Fee:
USD 35

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Open Source Community

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