Download Learning Opencv 3 Computer Vision With Python pdf
Learning Opencv 3 Computer Vision With Python
Picture Of The Book:
About The Book:
This Book Is A Great Introduction To Both Computer Vision In General And Opencv In Python In Particular, But Even People Familiar With Computer Vision Methods Will Find It Useful To Know How To Implement It In The Python Ecosystem Or How To Improve Function Parameters. The Python Command Is Supposed To Be Booted. The Author Presents Different Concepts In The Context Of Application Development, And While The Book Does Not Follow The Format Of The Cookbook, It Will Eventually Be A Set Of Very Useful Scripts That Can Be Easily Applied To Other Projects. View Scripting Scripts Detailed And Easy To Follow. The Authors Were Interested In Building The Complexity Of The Texts Slowly And Without Gaps In The Sequence. Delineated The Use Of Each Script Well With Images Located Along With The Book. My Only Complaint Is That The Book Still Depends On Python 2.7, But It Seems That The Code Does Not Need Many Modifications To Run In Python 3
Contents Of The Book:
Chapter 1. Setting Up OpenCV.
Chapter 2. Handling Files, Cameras, And GUIs.
Chapter 3. Processing Images With OpenCV 3.
Chapter 4. Depth Estimation And Segmentation.
Chapter 5. Detecting And Recognizing Faces.
Chapter 6. Retrieving Images And Searching Using Image Descriptors.
Chapter 7. Detecting And Recognizing Objects.
Chapter 8. Tracking Objects.
Chapter 9. Neural Networks With OpenCV An Introduction.
Information About The Book:
Title: Learning Opencv 3 Computer Vision With Python.
Language: English.
Size: 5.44 Mb
Pages: 356.
Format: Pdf.
Year: 2015.
Edition: 2
Author: Joseph Howse And Joe Minichino.