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- Case Studies, 3rd Edition
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Case Studies, 3rd Edition
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Quick start guide to learning the fundamentals of computer vision and image processing using Python and OpenCV. Get A Copy. Kindle Edition. More Details Edition Language. Friend Reviews. To see what your friends thought of this book, please sign up. Lists with This Book. This book is not yet featured on Listopia. Community Reviews. Showing Average rating 4. Rating details. More filters. Sort order.
May 29, Akash Nidhi P S rated it it was amazing. Nice book if you are a beginner to opencv and python. The case studies are good at the end of each chapters with practical applications and blogs linked to each chapter provides a way to learn by doing.
Jul 11, Faezeh Yousefian rated it it was amazing. This book explains everything step by step with an easy and casual language. It's awsome for beginners. Be sure to follow short links in text to its website. Thanks Adrian! Apr 07, Milos rated it really liked it. If you are starting with openCV its a no brainer.
The only regrettable thing is that there is no math involved and that algorithms used are described maybe too briefly.
Which on the other hand allows you to go through the book really fast. Oct 27, Himanshu Saini rated it liked it. The book has a lot of problems. It should show you the results of the code it shows you theory or more code and when it needs theory it has those results which made it full of scrolling back and forth to read this book. The language is lucid but some explanation of image terms is needed like gradient. But towards the end it worked well in that area. Overall it's a good read for beginners like The book has a lot of problems.
Overall it's a good read for beginners like me. Sep 23, Karthik rated it it was amazing. Highly recommended book for product managers and programmers getting started in computer vision. This book teaches the traditional techniques as a foundational concept in computer vision.
It is important to have a strong footing in these fundamentals before diving deep into advanced data hungry deep learning techniques. This has some cool applications that'll let you try some of the techni Highly recommended book for product managers and programmers getting started in computer vision. This has some cool applications that'll let you try some of the techniques. Mar 11, Gabby rated it really liked it.
This book is very friendly to beginners. It does not explain the math behind the openCV functions. I would highly recommend the readers take a computer vision class or read another book which explains the background knowledge. Jul 22, Rossco rated it really liked it.
I feel quite a bit of the same content is in his PyImageSearch Gurus online course. Since the course is a large commitment, this is a good book to see how interested you are in computer vision.
This book has value as an introduction to computer vision. Jun 11, Karan Singh marked it as to-read. Jun 06, D rated it really liked it. Simple introduction to computer vision. Dec 21, Dmitry Zudochkin rated it it was amazing. I enjoyed reading this book. It covers essential things you should know, when start diving into OpenCV technology. Mar 04, Marco Rizk rated it it was ok. But this books seems like a compilation of blog posts.
If you have spent sometime with opencv like I did. This book will be completely useless to you. Feb 28, Tuula rated it liked it Shelves: ebook , overnighter , quicktoread , sw-development , dh-research , dh-stuff. With pages, goes through the basic image manipulation functionalities resize, blurring, histograms etc. Karem Ben Chikha rated it it was amazing Jan 10, Tai Le rated it really liked it Apr 21, Thien Le rated it it was amazing Jan 11, Alan rated it it was amazing Jun 15, Swati Jaiswal rated it really liked it May 11, Tu rated it really liked it Feb 12, Liuda rated it really liked it Oct 16, Javad rated it it was amazing Feb 09, Moumen Yasser rated it it was amazing Apr 03, Suman Roy rated it it was amazing Sep 28, Nuwan rated it it was amazing Jul 30, Alexey Ukolov rated it it was amazing Aug 02, Tincy Thomas rated it really liked it Jan 21, Dec 15, Syed Nouman Hasany rated it really liked it.
This is a very well written book, but I think it would serve better as an image processing book rather than being a computer vision book. The code is very heavily documented, and is presented such that the reader never feels intimidated.
The book goes through chunks of image processing - rather important chunks - including affine transforms, color spaces, histograms, filters, thresholding, edge detection, and contours. The writing style is particularly suitable for someone who is just entering t This is a very well written book, but I think it would serve better as an image processing book rather than being a computer vision book.
The writing style is particularly suitable for someone who is just entering this field, and is only a novice programmer. Another nice part about this book is that its author runs a computer vision blog, and this book will likely help you in understanding his coding philosophy.
Lastly, it needs to be mentioned that if you already know bits of image processing - let's say you know what filtering is, or you know that Otsu is a thresholding method - then this book is not for you, and what you need is the opencv documentation; which is extremely readable. Subhajit Das rated it really liked it Nov 30, Sahil Verma rated it it was amazing Jan 11, Thomas Fan rated it it was amazing Dec 04, There are no discussion topics on this book yet.
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Practical Python and OpenCV + Case Studies, 3rd Edition
I started reading it and then got busy with other things. The past couple of weeks, I decided to give the book another go and was able to finish it. Note that I started reading the 3rd edition of the book without realizing there was a 4th edition. This book contains 11 chapters across pages. It covers Python 3 and OpenCV 4 in the 4th edition. Practical Python and OpenCV is an interesting book. This is kind of an anomaly as a lot of technical books seem to be much longer.
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Thank you for interesting in our services. We are a non-profit group that run this website to share documents. We need your help to maintenance this website. Please help us to share our service with your friends. Share Embed Donate. All rights reserved. Now, this Case Studies book will help you apply your knowledge to solve actual real-world problems.
Practical Python and. OpenCV: An Introductory,. Example Driven Guide to. Image Processing and. Computer Vision. 3rd Edition. Dr. Adrian.
I'm interested in the book, he did a real good job presenting it on the website. I guess your review is about the 1st edition, and probably 2nd edition which is out now and for openCV3 is even better. Which is kind of outrageous. Gonna go check free sources first and Packtlib.
OpenCV 3. This book will teach you how to set up OpenCV for Java and handle matrices using the basic operations of image processing such as filtering and image transforms. It will also help you You will learn how to read, write, create and manipulate images.
Over the last month I have been working through two programming courses. Looking back I recall I had ended up downloading source code and doing my own builds of several required Python libraries to get OpenCV working due to some environment configuration issues specific to my Linux box. In the year since then, the aforementioned Linux box died and I had to rebuild it from back-ups.
Case Studies (Practical Python and OpenCV)
I have been buying this book for a few months. If you have zero basics, I have personally experienced it. It is really a quick start and you can directly practice it. One of my buddies recommended me: practical python and openCV The third edition is python 3. At that time, I was in a dilemma that was difficult to get started.