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OpenCV 3.x with Python By Example - Second Edition

You're reading from  OpenCV 3.x with Python By Example - Second Edition

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396905
Pages 268 pages
Edition 2nd Edition
Languages
Authors (2):
Gabriel Garrido Calvo Gabriel Garrido Calvo
Profile icon Gabriel Garrido Calvo
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
View More author details
Toc

Table of Contents (17) Chapters close

Title Page
Copyright and Credits
Contributors
Packt Upsell
Preface
1. Applying Geometric Transformations to Images 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

Interacting with a live video stream


Let's see how we can use the mouse to interact with a live video stream from the webcam. We can use the mouse to select a region, and then apply a negative film effect on that region, as shown in the following image:

In the following program, we will capture the video stream from the webcam, select a region of interest with the mouse, and then apply this effect:

import cv2 
import numpy as np 

def update_pts(params, x, y):
    global x_init, y_init
    params["top_left_pt"] = (min(x_init, x), min(y_init, y))
    params["bottom_right_pt"] = (max(x_init, x), max(y_init, y))
    img[y_init:y, x_init:x] = 255 - img[y_init:y, x_init:x]
 
def draw_rectangle(event, x, y, flags, params): 
    global x_init, y_init, drawing
    # First click initialize the init rectangle point 
    if event == cv2.EVENT_LBUTTONDOWN:
        drawing = True 
        x_init, y_init = x, y 
    # Meanwhile mouse button is pressed, update diagonal rectangle point 
    elif event ==...
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