Old Search System: vision photo




  • Oreilly - Computer Vision Projects with Python 3

    Oreilly - Computer Vision Projects with Python 3 by Matthew Rever | Released June 2018...


    Explore Python's powerful tools for extracting data from images and videosAbout This VideoBuild powerful computer vision tools in Python with clear and concise codeDiscover deep learning methods that can be applied to a wide variety of problems in computer visionCrisp videos that take you directly to a practical approach to...


  • Oreilly - Hands-On Deep Learning for Computer Vision

    Oreilly - Hands-On Deep Learning for Computer Vision by Jakub Konczyk | Released January 2019...


    Generate, detect, and classify images faster and more accuratelyAbout This VideoLearn Deep Learning techniques commonly used for Computer Vision: from denoising to classification/similarity matching, image generation, and object detectionExplore tools such as Keras, TensorFlow, and OpenCV to build computer vision applicationsHands-on training in using Deep Neural Networks in Computer Vision...


  • Oreilly - Advanced Computer Vision Projects

    Oreilly - Advanced Computer Vision Projects by Matthew Rever | Released August 2018 | ISBN:...


    Gain a working knowledge of advanced machine learningAbout This VideoWrite concise Python scripts to generate captions from imagesDevelop an application that estimates human poses from 2D imagesSee deep learning methods that can be applied to a wide variety of problems in computer visionIn DetailPython's wealth of powerful packages along with...


  • Oreilly - Learn Computer Vision with Python and OpenCV

    Oreilly - Learn Computer Vision with Python and OpenCV by Kathiravan Natarajan | Released October...


    Detect and track objects in images and videos. Perform accurate and reliable processing tasks with Computer vision using OpenCVAbout This VideoGet a thorough understanding of the OpenCV library and all its functionalities, with practical examples.Build a strong foundation for Computer Vision by transforming images and videos using various tools and...


  • Oreilly - Customizing state-of-the-art deep learning models for new computer vision solutions

    Oreilly - Customizing state-of-the-art deep learning models for new computer vision solutions by Timothy J...


    Dramatic progress has been made in computer vision: deep neural networks (DNNs) trained on tens of millions of images can now recognize thousands of different object types. These DNNs can also be easily customized to new use cases. Timothy Hazen shares simple methods and tools that enable you to adapt...


  • MotionArray - VisionX - 290527

    MotionArray - VisionX - 290527 After Effects CC 2015 | 1920x1080 (HD) | No Plug-Ins


    VisionX is a magical looking and majestically animated After Effects template with an eye-catching design. It's so easy to use, simply edit the text and hit render. This template contains 12 editable text layers. Impress your audience with this professionally designed and dynamically animated AE template. Available in HD.


  • Deep Learning : Computer Vision Beginner to Advanced Pytorch

    Deep Learning : Computer Vision Beginner to Advanced PytorchVideo: .mp4 (1280x720, 30 fps(r)) | Audio:...



    What you'll learn
    Master how to Perform Computer Vision Task with Deep Learning
    Learn to Work with PyTorch
    Convolutional Neural Networks with Torch Library
    Build Intuition on Convolution Operation on Images
    Learn to Implement LeNet Architecture on CIFAR10 dataset which has 60000 images
    Requirements
    Basic Machine learning with Python Programming Language
    Description
    With...


  • Law of Attraction: How to Create a Vision Board That Works

    Law of Attraction: How to Create a Vision Board That WorksVideo: .mp4 (1280x720, 30 fps(r))...


    What you'll learn
    5 Things to Do Before Creating a Vision Board
    How to Make a Physical Vision Board
    How to Make a Digital Vision Board
    What to Do After You Make a Vision Board (So Your Goals Come to Fruition)
    Requirements
    Have an open mind
    Access to the internet
    Willingness...

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    Visionnaire rugs

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  • Computer Vision: Python OCR & Object Detection Quick Starter

    Computer Vision: Python OCR & Object Detection Quick StarterVideo: .mp4 (1280x720, 30 fps(r)) | Audio:...


    What you'll learn
    Optical Character Recognition with Tesseract Library, Image Recognition using Keras, Object Recognition using MobileNet SSD, Mask R-CNN, YOLO, Tiny YOLO from static image, realtime video and pre-recorded videos using Python
    Requirements
    A decent configuration computer (preferably Windows) and an enthusiasm to dive into the world of OCR, Image...


  • AudioJungle - New Vision - 23308772

    AudioJungle - New Vision - 23308772 2:29 MINUTE | 320 kbps | 16-Bit Stereo, 44.1...





  • Technologies of Vision: The War Between Data and Images

    Technologies of Vision: The War Between Data and ImagesEnglish | ISBN: 0262037017 | 2017 |...


    An investigation of the computational turn in visual culture, centered on the entangled politics and pleasures of data and images.

    If the twentieth century was tyrannized by images, then the twenty-first is ruled by data. In Technologies of Vision, Steve Anderson argues that visual culture and the methods developed to...


  • Computer Vision: Face Recognition Quick Starter in Python (Updated)

    Computer Vision: Face Recognition Quick Starter in PythonVideo: .mp4 (1280x720, 30 fps(r)) | Audio: aac,...


    What you'll learn
    Face Detection from Images, Face Detection from Realtime Videos, Emotion Detection, Age-Gender Prediction, Face Recognition from Images, Face Recognition from Realtime Videos, Face Distance, Face Landmarks Manipulation, Face Makeup. . Also includes a Python basics refresher session.
    Requirements
    A decent configuration computer and an enthusiasm to dive into...


  • Financial Vision v1.0.0 - WordPress Theme - TM 57761

    Financial Vision v1.0.0 - WordPress Theme - TM 57761DEMOTry this contemporary theme to enhance your...






  • CNN for Computer Vision with Keras and TensorFlow in Python

    CNN for Computer Vision with Keras and TensorFlow in PythonVideo: .mp4 (1280x720, 30 fps(r)) |...


    What you'll learn
    Get a solid understanding of Convolutional Neural Networks (CNN) and Deep Learning
    Build an end-to-end Image recognition project in Python
    Learn usage of Keras and Tensorflow libraries
    Use Artificial Neural Networks (ANN) to make predictions
    Use Pandas DataFrames to manipulate data and make statistical computations.
    Requirements
    Students will...


  • Ramadan Flyer With Sehri Scene and Silhouettes of Mosques in Night Vision Template PSD

    Ramadan Flyer With Sehri Scene and Silhouettes of Mosques in Night Vision Template PSD Software:Photoshop...





  • Infiniti Vision Gran Turismo 2014 Concept

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  • Oreilly - PyTorch for Deep Learning and Computer Vision

    Oreilly - PyTorch for Deep Learning and Computer Vision by Amer Sharaf, Jad Slim, Rayan...


    Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorchAbout This VideoThis course is designed to help you become an accomplished deep learning developer even with no experience in programming or mathematicsIn DetailPyTorch has rapidly become one of the most transformative frameworks in the field of deep...


  • Oreilly - OpenCV Computer Vision Examples with Python: A Complete Guide for Dummies

    Oreilly - OpenCV Computer Vision Examples with Python: A Complete Guide for Dummies by Abhilash...


    Includes all OpenCV Image Processing Features with Simple Examples. Deep Learning Face Detection, Face Recognition & OCRAbout This VideoYou will learn to build a face detection and unlocking mechanism.You will learn to build a Digital Makeup and Face Distance Calculation.You will learn about Optical Character Recognition and Real-time motion detectorIn...


  • Lynda - Microsoft Cognitive Services for Developers: 1 Vision

    Lynda - Microsoft Cognitive Services for Developers: 1 Vision Microsoft Cognitive Services opens up artificial...


    Table of ContentsIntroduction1. The Basics2. Describing, Categorizing, and Tagging3. Performing Deeper Analysis4. Working with Models5. Handwriting and OCR6. Working with Faces7. Identifying PeopleConclusion