Python for Computer Vision with OpenCV and Deep Learning

Python for Computer Vision with OpenCV and Deep Learning

Learn the latest techniques in computer vision with Python , OpenCV , and Deep Learning!

What you’ll learn

  • Understand basics of NumPy
  • Manipulate and open Images with NumPy
  • Use OpenCV to work with image files
  • Use Python and OpenCV to draw shapes on images and videos
  • Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
  • Create Color Histograms with OpenCV
  • Open and Stream video with Python and OpenCV
  • Detect Objects, including corner, edge, and grid detection techniques with OpenCV and Python
  • Create Face Detection Software
  • Segment Images with the Watershed Algorithm
  • Track Objects in Video
  • Use Python and Deep Learning to build image classifiers
  • Work with Tensorflow, Keras, and Python to train on your own custom images.

Requirements

  • Must have clear understanding of Python Basics
  • Windows 10 or MacOS or Ubuntu
  • Must have Install Permissions on Computer
  • WebCam if you want to learn the video streaming content

Who this course is for:

  • Python Developers interested in Computer Vision and Deep Learning. This course is not for complete python beginners.
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