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Index
Title Page
Copyright and Credits
OpenCV 3.x with Python By Example Second Edition
Contributors
About the authors
About the reviewer
Packt is searching for authors like you
Packt Upsell
Why subscribe?
PacktPub.com
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Get in touch
Reviews
Applying Geometric Transformations to Images
Installing OpenCV-Python
Windows
macOS X
Linux (for Ubuntu)
Virtual environments
Troubleshooting
OpenCV documentation
Reading, displaying, and saving images
What just happened?
Loading and saving an image
Changing image format
Image color spaces
Converting color spaces
What just happened?
Splitting image channels
Merging image channels
Image translation
What just happened?
Image rotation
What just happened?
Image scaling
What just happened?
Affine transformations
What just happened?
Projective transformations
What just happened?
Image warping
Summary
Detecting Edges and Applying Image Filters
2D convolution
Blurring
Size of the kernel versus blurriness
Motion blur
Under the hood
Sharpening
Understanding the pattern
Embossing
Edge detection
Erosion and dilation
Afterthought
Creating a vignette filter
What's happening underneath?
How do we move the focus around?
Enhancing the contrast in an image
How do we handle color images?
Summary
Cartoonizing an Image
Accessing the webcam
Under the hood
Extending capture options
Keyboard inputs
Interacting with the application
Mouse inputs
What's happening underneath?
Interacting with a live video stream
How did we do it?
Cartoonizing an image
Deconstructing the code
Summary
Detecting and Tracking Different Body Parts
Using Haar cascades to detect things
What are integral images?
Detecting and tracking faces
Understanding it better
Fun with faces
Under the hood
Removing the alpha channel from the overlay image
Detecting eyes
Afterthought
Fun with eyes
Positioning the sunglasses
Detecting ears
Detecting a mouth
It's time for a moustache
Detecting pupils
Deconstructing the code
Summary
Extracting Features from an Image
Why do we care about keypoints?
What are keypoints?
Detecting the corners
Good features to track
Scale-invariant feature transform (SIFT)
Speeded-up robust features (SURF)
Features from accelerated segment test (FAST)
Binary robust independent elementary features (BRIEF)
Oriented FAST and Rotated BRIEF (ORB)
Summary
Seam Carving
Why do we care about seam carving?
How does it work?
How do we define interesting?
How do we compute the seams?
Can we expand an image?
Can we remove an object completely?
How did we do it?
Summary
Detecting Shapes and Segmenting an Image
Contour analysis and shape matching
Approximating a contour
Identifying a pizza with a slice taken out
How to censor a shape?
What is image segmentation?
How does it work?
Watershed algorithm
Summary
Object Tracking
Frame differencing
Colorspace based tracking
Building an interactive object tracker
Feature-based tracking
Background subtraction
Summary
Object Recognition
Object detection versus object recognition
What is a dense feature detector?
What is a visual dictionary?
What is supervised and unsupervised learning?
What are support vector machines?
What if we cannot separate the data with simple straight lines?
How do we actually implement this?
What happened inside the code?
How did we build the trainer?
Summary
Augmented Reality
What is the premise of augmented reality?
What does an augmented reality system look like?
Geometric transformations for augmented reality
What is pose estimation?
How to track planar objects
What happened inside the code?
How to augment our reality
Mapping coordinates from 3D to 2D
How to overlay 3D objects on a video
Let's look at the code
Let's add some movements
Summary
Machine Learning by an Artificial Neural Network
Machine learning (ML) versus artificial neural network (ANN)
How does ANN work?
How to define multi-layer perceptrons (MLP)
How to implement an ANN-MLP classifier?
Evaluate a trained network
Classifying images
Summary
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