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OpenCV 3.x with Python By Example

You're reading from   OpenCV 3.x with Python By Example Make the most of OpenCV and Python to build applications for object recognition and augmented reality

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396905
Length 268 pages
Edition 2nd Edition
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Authors (2):
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Gabriel Garrido Calvo Gabriel Garrido Calvo
Author Profile Icon Gabriel Garrido Calvo
Gabriel Garrido Calvo
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Toc

Table of Contents (17) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
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. Seam Carving 7. Detecting Shapes and Segmenting an Image 8. Object Tracking 9. Object Recognition 10. Augmented Reality 11. Machine Learning by an Artificial Neural Network 1. Other Books You May Enjoy

Can we remove an object completely?


This is perhaps the most interesting application of seam carving. We can make an object completely disappear from an image. Let's consider the following image:

Enclose the region to remove using your mouse:

After you remove the chair on the right, it will look something like this:

It's as if the chair never existed! Before we look at the code, it's important to know that this takes a while to run. So, just wait for a couple of minutes to get an idea of the processing time. You can adjust the input image size accordingly! Let's take a look at the code:

import sys
import cv2 
import numpy as np 

# Draw rectangle on top of the input image 
def draw_rectangle(event, x, y, flags, params): 
    global x_init, y_init, drawing, top_left_pt, bottom_right_pt, img_orig 

    # Detecting a mouse click 
    if event == cv2.EVENT_LBUTTONDOWN: 
        drawing = True 
        x_init, y_init = x, y 

    # Detecting mouse movement 
    elif event == cv2.EVENT_MOUSEMOVE:...
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