Computer Vision with OpenCV and Python 3: Practical examples workbook

Price: $1.00
(as of Dec 27,2024 00:23:58 UTC – Details)

ASIN ‏ : ‎ B078QFL1NY
Publication date ‏ : ‎ December 29, 2017
Language ‏ : ‎ English
File size ‏ : ‎ 12913 KB
Simultaneous device usage ‏ : ‎ Unlimited
Text-to-Speech ‏ : ‎ Not enabled
Enhanced typesetting ‏ : ‎ Not Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Format ‏ : ‎ Print Replica

Computer Vision with OpenCV and Python 3: Practical examples workbook

In this post, we will explore the fascinating world of computer vision using OpenCV and Python 3. Computer vision is a field that enables computers to interpret and understand the visual world. OpenCV (Open Source Computer Vision Library) is a powerful and popular library for computer vision tasks, and Python is a versatile and easy-to-use programming language.

In this workbook, we will provide practical examples and exercises to help you learn and apply computer vision techniques using OpenCV and Python 3. From basic image processing to advanced object detection and tracking, this workbook will cover a wide range of topics in computer vision.

Some of the topics we will cover in this workbook include:
– Basic image processing operations such as reading, displaying, and saving images
– Image manipulation techniques like resizing, cropping, and rotating images
– Image filtering and enhancement techniques
– Object detection and recognition using Haar cascades and deep learning models
– Image segmentation and contour detection
– Feature extraction and matching
– Optical character recognition (OCR)
– Face detection and facial landmark detection
– Motion detection and tracking

Each topic will be accompanied by hands-on examples and exercises to help you practice and reinforce your understanding. By the end of this workbook, you will have a solid foundation in computer vision with OpenCV and Python 3, and you will be able to apply your knowledge to real-world projects and applications.

So grab your laptop, fire up your Python interpreter, and let’s dive into the exciting world of computer vision with OpenCV and Python 3!
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