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

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    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.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    OpenCV 4 with Python Blueprints, 2nd Edition [Repost]

    Posted By: readerXXI
    OpenCV 4 with Python Blueprints, 2nd Edition [Repost]

    OpenCV 4 with Python Blueprints : Build Creative Computer Vision Projects with the Latest Version of OpenCV 4 and Python 3, 2nd Edition
    by Dr. Menua Gevorgyan, Arsen Mamikonyan
    English | 2020 | ISBN: 1789801818 | 356 Pages | PDF/ePUB | 69 MB

    OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks.

    You'll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you'll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you'll understand how to align images, and detect and track objects using neural networks.

    By the end of this OpenCV Python book, you'll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs.

    What you will learn

    Generate real-time visual effects using filters and image manipulation techniques such as dodging and burning
    Recognize hand gestures in real-time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor
    Learn feature extraction and feature matching to track arbitrary objects of interest
    Reconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniques
    Detect faces using a cascade classifier and identify emotions in human faces using multilayer perceptrons
    Classify, localize, and detect objects with deep neural networks

    This book is for intermediate-level OpenCV users who are looking to enhance their skills by developing advanced applications. Familiarity with OpenCV concepts and Python libraries, and basic knowledge of the Python programming language are assumed.


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