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OpenCV with Python By Example

You're reading from   OpenCV with Python By Example Build real-world computer vision applications and develop cool demos using OpenCV for Python

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Product type Paperback
Published in Sep 2015
Publisher Packt
ISBN-13 9781785283932
Length 296 pages
Edition 1st Edition
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Author (1):
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Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Toc

Table of Contents (14) Chapters Close

Preface 1. Applying Geometric Transformations to Images FREE CHAPTER 2. Detecting Edges and Applying Image Filters 3. Cartoonizing an Image 4. Detecting and Tracking Different Body Parts 5. Extracting Features from an Image 6. Creating a Panoramic Image 7. Seam Carving 8. Detecting Shapes and Segmenting an Image 9. Object Tracking 10. Object Recognition 11. Stereo Vision and 3D Reconstruction 12. Augmented Reality Index

Let's add some movements

Now that we know how to add a virtual pyramid, let's see if we can add some movements. Let's see how we can dynamically change the height of the pyramid. When you start, the pyramid will look like this:

Let's add some movements

If you wait for some time, the pyramid gets taller and it will look like this:

Let's add some movements

Let's see how to do it in OpenCV Python. Inside the augmented reality code that we just discussed, add the following snippet at the end of the __init__ method in the Tracker class:

self.overlay_vertices = np.float32([[0, 0, 0], [0, 1, 0], [1, 1, 0], [1, 0, 0], [0.5, 0.5, 4]])
self.overlay_edges = [(0, 1), (1, 2), (2, 3), (3, 0),
            (0,4), (1,4), (2,4), (3,4)]
self.color_base = (0, 255, 0)
self.color_lines = (0, 0, 0)

self.graphics_counter = 0
self.time_counter = 0

Now that we have the structure, we need to add the code to dynamically change the height. Replace the overlay_graphics() method with the following method:

def overlay_graphics(self, img, tracked):
  ...
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