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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

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:

Let's select the region of interest:

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:
        if drawing...
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