Introduction : the long war -- Race, war, and police power -- From war capitalism to race war -- The afterlife of fascism -- Racial formation and permanent war -- The present crisis -- Epilogue : the two Americas
Sonali, a gleeful and cheerful medical graduate is on her trip to Goa with some friends when she discovers a camera; a camera that redefines her life and reshapes her journey. The camera revamps her journey in pursuit of someone that the pictures talk of. The tale of a journey is an account of Sonalis expedition to the one the camera beholds and intrigues her about. The book is a narrative of the girls exploration of Jai Singh Koranga and the stories that pass by on the borrowed bike. What is it in the camera that intrigues Sonali? Who is Jai Singh Koranga? Is her journey a quest in itself? Is it a quest to know about Jai or a quest to discover her own self?
Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key FeaturesUnderstand OpenCV and select the right algorithm to solve real-world problemsDiscover techniques for image and video processingLearn how to apply face recognition in videos to automatically extract key informationBook Description Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems. What you will learnAccess and manipulate pixels in OpenCV using BGR and grayscale imagesCreate histograms to better understand image contentUse contours for shape analysis, object detection, and recognitionTrack objects in videos using a variety of trackers available in OpenCVDiscover how to apply face recognition tasks using computer vision techniquesVisualize 3D objects in point clouds and polygon meshes using Open3DWho this book is for If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
Despite black gains in modern America, the end of racism is not yet in sight. Nikhil Pal Singh asks what happened to the worldly and radical visions of equality that animated black intellectual activists from W. E. B. Du Bois in the 1930s to Martin Luther King, Jr. in the 1960s. In so doing, he constructs an alternative history of civil rights in the twentieth century, a long civil rights era, in which radical hopes and global dreams are recognized as central to the history of black struggle. It is through the words and thought of key black intellectuals, like Du Bois, Ralph Bunche, C. L. R. James, Richard Wright, Ralph Ellison, Langston Hughes, and others, as well as movement activists like Malcolm X and Black Panthers, that vital new ideas emerged and circulated. Their most important achievement was to create and sustain a vibrant, black public sphere broadly critical of U.S. social, political, and civic inequality. Finding racism hidden within the universalizing tones of reform-minded liberalism at home and global democratic imperatives abroad, race radicals alienated many who saw them as dangerous and separatist. Few wanted to hear their message then, or even now, and yet, as Singh argues, their passionate skepticism about the limits of U.S. democracy remains as indispensable to a meaningful reconstruction of racial equality and universal political ideals today as it ever was.
Master Computer Vision concepts using Deep Learning with easy-to-follow steps Key Featuresa- Setting up the Python and TensorFlow environmenta- Learn core Tensorflow concepts with the latest TF version 2.0a- Learn Deep Learning for computer vision applications a- Understand different computer vision concepts and use-casesa- Understand different state-of-the-art CNN architectures a- Build deep neural networks with transfer Learning using features from pre-trained CNN modelsa- Apply computer vision concepts with easy-to-follow code in Jupyter NotebookDescriptionThis book starts with setting up a Python virtual environment with the deep learning framework TensorFlow and then introduces the fundamental concepts of TensorFlow. Before moving on to Computer Vision, you will learn about neural networks and related aspects such as loss functions, gradient descent optimization, activation functions and how backpropagation works for training multi-layer perceptrons.To understand how the Convolutional Neural Network (CNN) is used for computer vision problems, you need to learn about the basic convolution operation. You will learn how CNN is different from a multi-layer perceptron along with a thorough discussion on the different building blocks of the CNN architecture such as kernel size, stride, padding, and pooling and finally learn how to build a small CNN model. Next, you will learn about different popular CNN architectures such as AlexNet, VGGNet, Inception, and ResNets along with different object detection algorithms such as RCNN, SSD, and YOLO. The book concludes with a chapter on sequential models where you will learn about RNN, GRU, and LSTMs and their architectures and understand their applications in machine translation, image/video captioning and video classification.What will you learnThis book will help the readers to understand and apply the latest Deep Learning technologies to different interesting computer vision applications without any prior domain knowledge of image processing. Thus, helping the users to acquire new skills specific to Computer Vision and Deep Learning and build solutions to real-life problems such as Image Classification and Object Detection. Who this book is forThis book is for all the Data Science enthusiasts and practitioners who intend to learn and master Computer Vision concepts and their applications using Deep Learning. This book assumes a basic Python understanding with hands-on experience. A basic senior secondary level understanding of Mathematics will help the reader to make the best out of this book. Table of Contents1. Introduction to TensorFlow2. Introduction to Neural Networks 3. Convolutional Neural Network 4. CNN Architectures5. Sequential ModelsAbout the AuthorNikhil Singh is an accomplished data scientist and currently working as the Lead Data Scientist at Proarch IT Solutions Pvt. Ltd in London. He has experience in designing and delivering complex and innovative computer vision and NLP centred solutions for a large number of global companies. He has been an AI consultant to a few companies and mentored many apprentice Data Scientists. His LinkedIn Profile: https://www.linkedin.com/in/nikhil-singh-b953ba122/Paras Ahuja is a seasoned data science practitioner and currently working as the Lead Data Scientist at Reliance Jio in Hyderabad. He has good experience in designing and deploying deep learning-based Computer Vision and NLP-based solutions. He has experience in developing and implementing state-of-the-art automatic speech recognition systems.His LinkedIn Profile: https://www.linkedin.com/in/parasahuja
Master Computer Vision concepts using Deep Learning with easy-to-follow steps DESCRIPTIONÊ This book starts with setting up a Python virtual environment with the deep learning framework TensorFlow and then introduces the fundamental concepts of TensorFlow. Before moving on to Computer Vision, you will learn about neural networks and related aspects such as loss functions, gradient descent optimization, activation functions and how backpropagation works for training multi-layer perceptrons. To understand how the Convolutional Neural Network (CNN) is used for computer vision problems, you need to learn about the basic convolution operation. You will learn how CNN is different from a multi-layer perceptron along with a thorough discussion on the different building blocks of the CNN architecture such as kernel size, stride, padding, and pooling and finally learn how to build a small CNN model.Ê Next, you will learn about different popular CNN architectures such as AlexNet, VGGNet, Inception, and ResNets along with different object detection algorithms such as RCNN, SSD, and YOLO. The book concludes with a chapter on sequential models where you will learn about RNN, GRU, and LSTMs and their architectures and understand their applications in machine translation, image/video captioning and video classification. KEY FEATURESÊ Setting up the Python and TensorFlow environment Learn core Tensorflow concepts with the latest TF version 2.0 Learn Deep Learning for computer vision applicationsÊ Understand different computer vision concepts and use-cases Understand different state-of-the-art CNN architecturesÊ Build deep neural networks with transfer Learning using features from pre-trained CNN models Apply computer vision concepts with easy-to-follow code in Jupyter Notebook WHAT WILL YOU LEARNÊ This book will help the readers to understand and apply the latest Deep Learning technologies to different interesting computer vision applications without any prior domain knowledge of image processing. Thus, helping the users to acquire new skills specific to Computer Vision and Deep Learning and build solutions to real-life problems such as Image Classification and Object Detection. This book will serve as a basic guide for all the beginners to master Deep Learning and Computer Vision with lucid and intuitive explanations using basic mathematical concepts. It also explores these concepts with popular the deep learning framework TensorFlow. WHO THIS BOOK IS FOR This book is for all the Data Science enthusiasts and practitioners who intend to learn and master Computer Vision concepts and their applications using Deep Learning. This book assumes a basic Python understanding with hands-on experience. A basic senior secondary level understanding of Mathematics will help the reader to make the best out of this book.Ê Table of Contents 1. Introduction to TensorFlow 2. Introduction to Neural NetworksÊ 3. Convolutional Neural NetworkÊÊ 4. CNN Architectures 5. Sequential Models
Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key Features Understand OpenCV and select the right algorithm to solve real-world problems Discover techniques for image and video processing Learn how to apply face recognition in videos to automatically extract key information Book Description Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems. What you will learn Access and manipulate pixels in OpenCV using BGR and grayscale images Create histograms to better understand image content Use contours for shape analysis, object detection, and recognition Track objects in videos using a variety of trackers available in OpenCV Discover how to apply face recognition tasks using computer vision techniques Visualize 3D objects in point clouds and polygon meshes using Open3D Who this book is for If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
Unit-I Indian Contract Act, 1872 1.Business (Mercantile) Law : An Introduction, 2 .Indian Contract Act, 1872 : An Introduction , 3 Contract : Meaning, Definition and Characteristics of a Valid Contract , 4. Agreement : Meaning, Kinds and Difference, 5 .Proposal (Offer), Acceptance Communication and Revocation, 6. Capacity of Parties to Contract or Parties Competency to Contract, 7. Free Consent, 8. Lawful Consideration and Objects , 9. Agreements Expressly Declared as Void, 10. Contingent Contracts , 11. Performance of Contracts and Appropriation of Payments, 12. Discharge of Contracts, 13. Quasi or Implied Contracts of Certain Relations Resembling those Created by Contracts (Sections 68 to 72), 14. Remedies for Breach of Contract , Unit-II Special Contracts 15.Contract of Indemnity and Guarantee , 16. Contract of Bailment and Pledge, 17. Contracts of Agency , Unit-III The Sale of Goods Act, 1930 18.The Sale of Goods Act, 1930 : An Introduction , 19. Conditions and Warranties, 20. Effects of the Contract of Sale—Transfer of Ownership and Title, 21. Performance of Contract of Sale, 22. Remedial Measures and Auction Sale , Unit-IV The Negotiable Instruments Act, 1881 1..Negotiable Instruments Act, 1881 : Introduction, 2 .Parties to a Negotiable Instruments , 3. Negotiation , 4. Presentment and Dishonour of Negotiable Instruments, 5. Discharge of Negotiable Instruments, 6. Hundis , 7. Banker and Customer, Unit-V G.S.T. G.S.T.—Format and Computing Process.
Club Ded is an exhilarating psychedelic-noir. Set in Cape Town, Club Ded expands the Afrofuturist genre while it is still being formed, focusing on the methodology of creation in the media world of the city.
★ABOUT THE BOOK: The conventional energy sources like coal, petroleum and fossil fuels are limited in nature. About 55% of energy is produced by fossil fuels in India. And fossil fuels are limited in nature and are not long lasting. With the increase in demand of electrical energy, the alternative non- conventional energy generation technique is required. The generation of electrical energy through Sun is the best option. The day and night is periodic in nature. So, one can extract unlimited amount of energy from sun. The energy generated from the sun is called solar energy. The solar energy is generated with the help of photovoltaic cell which is also called PV Cells. The photovoltaic cell converts the light into electrical energy directly without any intermediate conversion step. Now days the solar energy is preferred over conventional fossil fuels generators. The solar energy is considered as green energy as it doesn’t create pollution and no mechanical parts are used in solar photovoltaic system. The solar photovoltaic system is 90% efficient for the first ten years and 80% efficient for the coming five years. The solar systems are equipped with battery sources to supply the load in night. In this way, if there is sunshine for seven to eight hours, the load can be supplied for complete 24 hours. To promote power system security or to avoid outage the solar systems are used. The Grid Tied solar system can also be designed, where in absence of sun; the power can be taken from grid. The wind speed, temperature, sunlight inclination are some of the parameters which decides the solar energy conversion efficiency. This project is focused on the case study of 8 KW solar photovoltaic system designing. Here, we focused on the location, environment, Solar Cell type, connection, protection and commissioning of the system. If wireless power transmission scheme will be developed in future, then solar panels will be installed in space that provides 24 hour unlimited green energy. The complete designing is done as per criteria decided by MNRE and CREDA. ★Key Features: Grid, Photovoltaic, Ministry of Non-Renewable Energy (MNRE), Chhattisgarh State Renewable Energy Development Agency (CREDA). ★About the Author: DR. DHARMENDRA KUMAR SINGH Professor Dr. C.V. Raman University & MR. NIKHIL KUMAR YADAV Asst. Professor Institute of Technology Korba, Chhatisgarh ★Book Details: ISBN : 978-81-89401-627 Pages: 121 + 5 Edition: 1st, Year -2021 Size(cms): L- 0.6 B-15.7 H-23,7
It's the year 2000. In the month of April, the Delhi Police charge South African cricket team captain Hansie Cronje with match fixing, implicating the Indian team with him. The two devastating words shatter the love, respect and the trust Indian fans have in the beautiful game and its players. Cricket becomes the subject of ridicule and mockery. Four great men - Sachin Tendulkar, Rahul Dravid, V.V.S. Laxman and Anil Kumble - led by the enigmatic Sourav Ganguly, accept the challenge to repair the tarnished image of Indian cricket. Will India's new captain bring back the charm and respect to India's first love? Who will take up Ganguly's mantle? It Wasn't a Waste of Time - The Story of the Most Important Decade in Indian Cricket is the story of an emotional journey Indian fans underwent in the first decade of the new millennium. It outlines the most important events, matches and series India participated in, and their impact on Indian cricket itself.
An unprecedented and timely collection of writings by and on Jawaharlal Nehru--the man who shaped newly independent India; and the icon whose legacy is the subject of intense and often angry debate today. 'Who is this Bharat Mata, whose victory you wish?' asked Jawaharlal Nehru--a leading light of the Indian freedom movement who would become the country's first prime minister--at a public gathering in 1936. And then he explained: the mountains and rivers, forests and fields were of course dear to everyone, but what counted ultimately were 'the people of India...spread out all over this vast land. Bharat Mata, Mother India, [is] essentially these millions of people, and victory to her [is] victory to these people.' This collection of writings and speeches by and on Nehru shows us the mind--the ideology, born of experience, observation and deep study--behind this democratic and inclusive idea of India. It is a book of particular relevance at a time when 'nationalism' and the slogan 'Bharat Mata ki Jai' are being used to construct a militant and purely emotional idea of India that excludes millions of residents and citizens. 'Who Is Bharat Mata?' contains selections from Nehru's classic books--An Autobiography, Glimpses of World History and The Discovery of India; his speeches, essays and letters from the pre- and post-Independence years; and some of his most revealing interviews. The concluding section of the book comprises reminiscences and assessments of Nehru by his contemporaries--among them, Mahatma Gandhi, Bhagat Singh, Sardar Patel, Maulana Azad, Aruna Asaf Ali, Sheikh Abdullah, Ramdhari Singh Dinkar, Ali Sardar Jafri, Martin Luther King Jr and Atal Bihar Vajpayee. In this carefully put-together anthology--which also carries an illuminating introduction--Nehru emerges as a remarkable man of ideas and action who had an instinctive understanding of India's civilizational spirit, as also a clear commitment to the scientific temper; and as a leader who, despite the compulsions of politics, remained a true democrat. His legacy continues to be extremely relevant--for, in the words of the editor, an understanding of 'Nehru's political and intellectual journey is a pre-condition for India's survival as a democratic polity and as a humane, compassionate society'.
The 'golden triangle' of India -- Delhi, Agra and Jaipur is as rich and diverse in its bird life as it is in its culture and tradition. The gardens and adjacent water bodies in these cities provide a huge range of vegetarian diversity for the birds to dwell and rest. This superb book constitutes an engaging guide containing descriptive notes and colourful photographs of the birds commonly seen in Northern India.
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