Book Image

Mastering OpenCV 4 with Python

By : Alberto Fernández Villán
5 (1)
Book Image

Mastering OpenCV 4 with Python

5 (1)
By: Alberto Fernández Villán

Overview of this book

OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands.
Table of Contents (20 chapters)
Free Chapter
1
Section 1: Introduction to OpenCV 4 and Python
6
Section 2: Image Processing in OpenCV
12
Section 3: Machine Learning and Deep Learning in OpenCV
16
Section 4: Mobile and Web Computer Vision

Deploying a Flask application to the cloud

If you have developed a Flask application you can run in your computer, you can easily make it public by deploying it to the cloud. There are a lot of options if you want to deploy your application to the cloud (for example, Google App Engine: https://cloud.google.com/appengine/, Microsoft Azure: https://azure.microsoft.com, Heroku: https://devcenter.heroku.com/, and Amazon Web Services: https://aws.amazon.com, among others). Additionally, you can also use PythonAnywhere (www.pythonanywhere.com), which is a Python online integrated development environment (IDE) and web hosting environment, making it easy to create and run Python programs in the cloud.

PythonAnywhere is very simple, and also the recommended way of hosting machine learning-based web applications. PythonAnywhere provides some interesting features, such as WSGI-based web...