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.
The Indian government, touted as the world's largest democracy, often repeats that Jammu and Kashmir—its only Muslim-majority state—is "an integral part of India." The region, which is disputed between India and Pakistan, and is considered the world's most militarized zone, has been occupied by India for over seventy-five years. In this book, Hafsa Kanjwal interrogates how Kashmir was made "integral" to India through a study of the decade long rule (1953-1963) of Bakshi Ghulam Mohammad, the second Prime Minister of the State of Jammu and Kashmir. Drawing upon a wide array of bureaucratic documents, propaganda materials, memoirs, literary sources, and oral interviews in English, Urdu, and Kashmiri, Kanjwal examines the intentions, tensions, and unintended consequences of Bakshi's state-building policies in the context of India's colonial occupation. She reveals how the Kashmir government tailored its policies to integrate Kashmir's Muslims while also showing how these policies were marked by inter-religious tension, corruption, and political repression. Challenging the binaries of colonial and postcolonial, Kanjwal historicizes India's occupation of Kashmir through processes of emotional integration, development, normalization, and empowerment to highlight the new hierarchies of power and domination that emerged in the aftermath of decolonization. In doing so, she urges us to question triumphalist narratives of India's state-formation, as well as the sovereignty claims of the modern nation-state.
Contextuality of Healthcare Choices in Pakistan analyzes the contextual factors shaping healthcare decision-making in Pakistan. Divided into three thematic areas—contextuality of healthcare choices, power dynamics and the health of the marginalized, and emerging challenges and healthcare response—the book explores the complex interplay of social, cultural, and institutional influences on health-seeking behaviors. The book examines the nuanced fabric of healthcare decision-making in Pakistan through a series of nine meticulously crafted chapters. From the influence of geography and social context on health-related choices to the power dynamics inherent in patient-doctor interactions, each chapter offers valuable insights into the myriad factors shaping individuals' healthcare decisions. Moreover, the book sheds light on overlooked aspects of healthcare decision-making, including the experiences of marginalized communities such as the transgender population and individuals seeking mental healthcare. Drawing on diverse theoretical perspectives and empirical evidence, this book challenges simplistic notions of healthcare decision-making as solely individual and rational. Instead, it argues for a comprehensive understanding of how communal, social, and institutional factors intersect to shape health-seeking behaviors. By illuminating the contextual complexities inherent in healthcare decision-making, this book offers invaluable insights for researchers, policymakers, healthcare professionals, and the wider public interested in understanding and improving healthcare outcomes in Pakistan.
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