Building Computer Vision Applications with Python

2h 1mIntermediate2022-08-22

Authors

Eduardo Corpeño

Electrical Engineer, Computer Programmer, and Teacher for 15+ years

Course details

Image processing is a ubiquitous technology these days, used in just about every feature of smartphone cameras, in video games, social media apps, graphics software, and much more. Computer vision is the field of science that makes it possible for computers to not just capture images, but to process, analyze, and understand digital images. In this course, Eduardo Corpeño shows you how to use Python to write image processing operations of your own from scratch, to get a deeper understanding of the under-the-hood operations of image processing and popular tools like OpenCV. Eduardo shows you how to tap into the details of the algorithms behind image processing so you can understand what’s going on inside and make better use of these tools in the future. He also provides programming challenges so you can create your own implementations and compare your work with his solutions.

Skills covered

OpenCVNeural Networks and Deep LearningPythonArtificial Intelligence (AI)Programming LanguagesOpen SourceSoftware DevelopmentDeep Dive (X:Y)

Concepts

Introduction

Computer vision under the hood
What you should know
Using the exercise files

Setting Up Your Environment

Installing Anaconda and OpenCV
Testing your environment

The Basics of Image Processing

Image representation
Color encoding
Image file management
Resolution
Rotations and flips
Challenge - Manipulate some pictures
Solution - Manipulate some pictures

From Color to Black and White

Average grayscale
Weighted grayscale
Converting grayscale to black and white
Adaptive thresholding
Challenge - Removing color
Solution - Removing color

Filters

Convolution filters
Average filters
Median filters
Gaussian filters
Edge detection filters
Challenge - Convolution filters
Solution - Convolution filters

Image Scaling

Image downscaling methods
Downscaling example
Image upscaling methods
Upscaling example
Challenge - Resize a picture
Solution - Resize a picture

Fun with Cuts

Image cuts
Stitching two images together
Cuts in panoramic photography
Challenge - Stitch two pictures together
Solution - Stitch two pictures together

Morphological Modifications

Why modify objects
Erosion and dilation
Open and close
Challenge - Help a robot
Solution - Help a robot

Conclusion

Next steps