By Michael Beyeler
Design and enhance complicated machine imaginative and prescient tasks utilizing OpenCV with Python
About This Book
- Program complex desktop imaginative and prescient purposes in Python utilizing diversified gains of the OpenCV library
- Practical end-to-end undertaking overlaying a huge desktop imaginative and prescient problem
- All initiatives within the e-book contain a step by step advisor to create computing device imaginative and prescient applications
Who This e-book Is For
This e-book is for intermediate clients of OpenCV who objective to grasp their abilities via constructing complex functional purposes. Readers are anticipated to be accustomed to OpenCV's strategies and Python libraries. simple wisdom of Python programming is anticipated and assumed.
What you are going to Learn
- Generate real-time visible results utilizing diverse filters and photograph manipulation ideas corresponding to dodging and burning
- Recognize hand gestures in genuine time and practice hand-shape research in keeping with the output of a Microsoft Kinect sensor
- Learn function extraction and have matching for monitoring arbitrary gadgets of interest
- Reconstruct a 3D real-world scene from second digital camera movement and customary digicam reprojection techniques
- Track visually salient items by means of looking for and concentrating on very important areas of an image
- Detect faces utilizing a cascade classifier and realize emotional expressions in human faces utilizing multi-layer peceptrons (MLPs)
- Recognize highway indicators utilizing a multi-class edition of aid vector machines (SVMs)
- Strengthen your OpenCV2 talents and methods to use new OpenCV3 features
OpenCV is a local pass platform C++ Library for machine imaginative and prescient, computer studying, and photograph processing. it's more and more being followed in Python for improvement. OpenCV has C++/C, Python, and Java interfaces with help for home windows, Linux, Mac, iOS, and Android. builders utilizing OpenCV construct purposes to strategy visible facts; this may contain stay streaming facts from a tool like a digicam, similar to photos or movies. OpenCV bargains vast libraries with over 500 functions
This e-book demonstrates the right way to strengthen a sequence of intermediate to complicated initiatives utilizing OpenCV and Python, instead of instructing the middle recommendations of OpenCV in theoretical classes. as a substitute, the operating tasks constructed during this e-book educate the reader find out how to practice their theoretical wisdom to subject matters equivalent to photograph manipulation, augmented fact, item monitoring, 3D scene reconstruction, statistical studying, and item categorization.
By the top of this booklet, readers should be OpenCV specialists whose newly won event lets them advance their very own complex laptop imaginative and prescient applications.
Style and approach
This booklet covers autonomous hands-on tasks that educate vital desktop imaginative and prescient thoughts like snapshot processing and computer studying for OpenCV with a number of examples.
Read Online or Download OpenCV with Python Blueprints PDF
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Additional info for OpenCV with Python Blueprints
The only hardware requirement is a webcam (or camera device), except for in Chapter 2, Hand Gesture Recognition Using a Kinect Depth Sensor, which instead requires access to a Microsoft Kinect 3D Sensor or an Asus Xtion. The book contains seven projects, with the following requirements. html. org/downloads. html. php. php. html. html. com/OpenKinect/libfreenect. org/wiki/Getting_Started. html) is highly recommended as it provides a flexible, interactive console interface. org/en/latest Who this book is for This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical applications.
OpenCV does not offer a native function to implement these techniques, but with a little insight and a few tricks, we will arrive at our own efficient implementation that can be used to produce a beautiful pencil sketch effect. Blend the grayscale image from step 1 with the blurred negative from step 3 using a color dodge. Whereas steps 1 to 3 are straightforward, step 4 can be a little tricky. Let's get that one out of the way first. Note OpenCV 3 comes with a pencil sketch effect right out of the box.
Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. First published: October 2015 Production reference: 1141015 Published by Packt Publishing Ltd.