Computer Vision with Python OpenCV

About this course

Teach your code to see. Over three days you will handle images with NumPy and OpenCV, draw shapes, apply smoothing, blurring, thresholding and morphological operations, and build colour histograms, then move on to video and webcam streams with optical flow and object tracking, finishing with an introduction to deep learning for vision.

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.

Curriculum

Who it's for

Python developers and data practitioners who want to build image and video analysis into their work.

Before you start

• Introduction to Python and Python for Data Science ; Python for Machine Learning recommended