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Complete Face Detection & Image Processing in Python

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Description

Computer vision is a fascinating area of computer science. Decades of research have gone into this field. Cloud computing and powerful GPUs and TPUs make image processing faster and more efficient. Cars, robots, and drones have begun to understand images and videos. The human-machine interface “computer vision” will grow in importance over the years.

Computer vision is considered the hottest field in the age of AI. It can be stressful for beginners as most people face challenges transitioning into computer vision.

Modern technology uses computer vision. In real-time, we can use OpenCV for Python. We now have more processing power to work with, thanks to powerful machines. It allows us to integrate computer vision applications into the cloud easily. Web developers do not have to reinvent the wheel.

What is OpenCV?

From what OpenCV says:

“OpenCV is released under a BSD license, which means it can be used for free in both schools and businesses. It can be used with Windows, Linux, Mac OS, iOS, and Android. It has interfaces for C++, C, Python, and Java. OpenCV was made to work well with computers and is useful for real-time applications. The library is written in optimized C/C++ to use multi-core processing. When OpenCL is turned on, it can use the hardware acceleration of the heterogeneous compute platform underneath.”

OpenCV has code for more than 2500 different algorithms! It can be used for both business and school projects without cost. The library has interfaces for many other programming languages, such as Python, Java, and C++.

What can you do with OpenCV?

You can do almost any Computer Vision task you can think of with OpenCV. In real life, you have to put together a lot of blocks to get what you want. So, all you need to know to get what you wish is which modules and functions to use.

Read The Book…

Additional information

Book Type

Title: Face Detection & Image Processing
Read: Offline
Format: PDF
Access: Lifetime
Language: English
Length: 175 pages
File size: 15415 KB

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1 Review for Complete Face Detection & Image Processing in Python

  1. 5 out of 5

    Parmita Gadhar (verified purchase)

    I am combining this book with their Udemy Computer Vision course and I can tell you that it is very much interesting. I would suggest that you should always use the same IDE. In Udemy you used Pycharm IDE and use a different IDE in this book. It will very much help if you should stop confusing your students. I leave five stars because I learned something very interesting from this book.

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