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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
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    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
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    Mastering OpenCV 3, 2nd Revised Edition

    Posted By: First1
    Mastering OpenCV 3, 2nd Revised Edition

    Mastering OpenCV 3, 2nd Revised Edition by Daniel Lelis Baggio, Shervin Emami, David Millan Escriva, Khvedchenia Ievgen, Jason Saragih, Roy Shilkrot
    English | May 4th, 2017 | ASIN: B01N7G0BKE, ISBN: 1786467178 | 293 Pages | EPUB | 17.85 MB

    As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision.

    This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn.

    By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3.

    Key Features
    • Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3
    • Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applications
    • Each chapter is a tutorial for an entire project from start to finish, showing you how to apply OpenCV to solve complete problems

    What you will learn
    • Execute basic image processing operations and cartoonify an image
    • Build an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.text
    • Extend the natural feature tracking algorithm to support the tracking of multiple image targets on a video
    • Use OpenCV 3’s new 3D visualization framework to illustrate the 3D scene geometry
    • Create an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural Networks
    • Train and predict pattern-recognition algorithms to decide whether an image is a number plate
    • Use POSIT for the six degrees of freedom head pose
    • Train a face recognition database using deep learning and recognize faces from that database

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