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Mastering OpenCV 4 with Python

You're reading from  Mastering OpenCV 4 with Python

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344912
Pages 532 pages
Edition 1st Edition
Languages
Author (1):
Alberto Fernández Villán Alberto Fernández Villán
Profile icon Alberto Fernández Villán

Table of Contents (20) Chapters

Preface 1. Section 1: Introduction to OpenCV 4 and Python
2. Setting Up OpenCV 3. Image Basics in OpenCV 4. Handling Files and Images 5. Constructing Basic Shapes in OpenCV 6. Section 2: Image Processing in OpenCV
7. Image Processing Techniques 8. Constructing and Building Histograms 9. Thresholding Techniques 10. Contour Detection, Filtering, and Drawing 11. Augmented Reality 12. Section 3: Machine Learning and Deep Learning in OpenCV
13. Machine Learning with OpenCV 14. Face Detection, Tracking, and Recognition 15. Introduction to Deep Learning 16. Section 4: Mobile and Web Computer Vision
17. Mobile and Web Computer Vision with Python and OpenCV 18. Assessments 19. Other Books You May Enjoy

Introduction to Flask

Here is Flask's Hello World application which, as we mentioned, contains only a few lines of code. This can be seen in hello.py script, as follows:

# Import required packages:
from flask import Flask

app = Flask(__name__)


@app.route("/")
def hello():
return "Hello World!"


if __name__ == "__main__":
app.run()

After importing the required package, we will create an instance of Flask class, which will be our Web Server Gateway Interface (WSGI) application. The route() decorator is used to indicate what URL should trigger the hello() function, which will print the message Hello World!.

In Flask, you can use the route() decorator to bind a function to a URL.

Execute this script with the following command:

$ python hello.py

You will see this message in your console, telling you that the web server has been started:

 * Serving...
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