Packt – Autonomous Cars Deep Learning and Computer Vision in Python

Packt – Autonomous Cars Deep Learning and Computer Vision in Python-JGTiSO
English | Size: 3.20 GB
Category: Tutorial


Learn
Automatically detect lane markings in images
Detect cars and pedestrians using a trained classifier and with SVM
Classify traffic signs using Convolutional Neural Networks
Identify other vehicles in images using template matching
Build Deep Neural Networks with Tensorflow and Keras
Analyse and visualize data with Numpy, Pandas, Matplotlib, and Seaborn
Process image data using OpenCV
Calibrate cameras in Python, correcting for distortion
Sharpen and blur images with convolution
Detect edges in images with Sobel, Laplace, and Canny
Transform images through translation, rotation, resizing, and perspective transform
Extract image features with HOG
Detect object corners with Harris
Classify data with Machine Learning techniques including regression, decision trees, Naive Bayes, and SVM
Classify data with Artificial Neural Networks and Deep Learning
About
The automotive industry is experiencing a paradigm shift from conventional, human-driven vehicles into self-driving, artificial intelligence-powered vehicles. Self-driving vehicles offer a safe, efficient, and cost-effective solution that will dramatically redefine the future of human mobility. Self-driving cars are expected to save over half a million lives and generate enormous economic opportunities in excess of $1 trillion dollars by 2035. The automotive industry is on a billion-dollar quest to deploy the most technologically advanced vehicles on the road. [Read more…]

Udemy – Master Computer Vision™ OpenCV4 in Python with Deep Learning

Udemy – Master Computer Vision™ OpenCV4 in Python with Deep Learning
English | Size: 3.64 GB
Category: Tutorial


Requirements
Little to no programming knowledge is needed, but basic programing knowledge will help
Windows 10 or Ubuntu or a MacOS system
A webcam to implement some of the mini projects
Description
Welcome to one of the most thorough and well taught courses on OpenCV, where you’ll learn how to Master Computer Vision using newest version of OpenCV4 in Python!
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Packt OpenCV Computer Vision Examples with Python A Complete Guide for Dummies

Packt OpenCV Computer Vision Examples with Python A Complete Guide for Dummies
English | Size: 2.32 GB
Category: Tutorial

Computer Vision is an AI based, that is, Artificial Intelligence-based technology that allows computers to understand and label images. So, learning and mastering this fantastic world of Computer Vision-based technology is surely up-market. It will make you proficient in competing with the swiftly changing Image Processing technology arena.
And this course is designed in such a way that even the very beginner to programming can master the Computer Vision-based technology. [Read more…]

PACKT HANDS ON DEEP LEARNING FOR COMPUTER VISION

PACKT HANDS ON DEEP LEARNING FOR COMPUTER VISION
English | Size: 419.35 MB
Category: CBTs

Machine Learning, and Deep learning techniques in particular, are changing the way computers see and interact with the World. From augmented and mixed-reality applications to just gathering data, these new techniques are revolutionizing a lot of industries This course is designed to give you a hands-on learning experience by going from the basic concepts to the most current in-depth Deep Learning methods for Computer Vision in use today.
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Udacity – Computer Vision Nanodegree nd891 v1.0.0

Udacity – Computer Vision Nanodegree nd891 v1.0.0
English | Size: 2.66 GB
Category: Tutorial

Computer Vision is a specialized branch of Artificial Intelligence focused on enabling machines to visually perceive the world, and respond to it. As with human vision, this is a process of taking in visual information, analyzing and processing that information, and correctly identifying objects contained within that information.
Thanks to advances in the field of Computer Vision – and significant increases in available computing power – machines can now “see” thousands and thousands of images, and process them far more rapidly and accurately than a human could ever do. [Read more…]

Packt Publishing – Advanced Computer Vision with TensorFlow

Packt Publishing – Advanced Computer Vision with TensorFlow
English | Size: 543.26 MB
Category: Tutorial

This video course is a practical guide to implementing TensorFlow in production and is packed with step-by-step instructions, working examples, and helpful advice about building your neural networks with TensorFlow, where you’ll learn to build separable convolutional neural networks. This practical course is divided into clear byte-size chunks so you can learn at your own pace and focus on the areas that interest you the most.
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Digital Vision Arc Flowerscapes-CPs

Digital Vision Arc Flowerscapes-CPs
English | Size: 590 MB
Category: Photo

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Digital Vision Arc Beaches and Islands-CPs

Digital Vision Arc Beaches and Islands-CPs
English | Size: 1.25 GB
Category: Tutorial

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Packt Publishing – Python 3.x for Computer Vision

Packt Publishing – Python 3.x for Computer Vision
English | Size: 311.18 MB
Category: Tutorial

Unleash the power of computer vision with Python to carry out image processing and computer vision techniques.

This video course is a practical guide for developers who want to get started with building computer vision applications using Python 3. The video is divided into six sections: [Read more…]

Stanislav Grof – Transpersonal Vision [9 CD – 9 MP3, 1 WMV, 1 AVI, 1 TXT]

Stanislav Grof – Transpersonal Vision [9 CD – 9 MP3, 1 WMV, 1 AVI, 1 TXT]
English | Size: 806.34 MB
Category: Transpersonal Psychology

Beyond the Brain with Stanislav Grof – In 1954, physician and research scientist Stanislav Grof began his investigations into nonordinary states of consciousness. On The Transpersonal Vision, this pioneering cartographer of the human psyche tells the story of his quest for a new architecture of the self. You will hear about Dr. Grof’s forays into the worlds of the shaman and mystic, what past-life experiences can teach us about our life purpose, how nonordinary states reveal the intrinsic structure of the universe itself, and much more.
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