Sunila Gollapudi

Sunila Gollapudi
Accenture · Enterprise ArchitectureAsset Automation

About

8
Publications
1,680
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Citations

Publications

Publications (8)
Chapter
The goal of this chapter is to introduce you to the underlying deep learning algorithms that power computer vision applications. Deep learning is applied in the classification, detection, segmentation, and generation of images and videos in computer vision applications. This chapter will cover the methods to train deep learning models and deploy th...
Chapter
Chapters 4, 5, and 6 cover hands-on implementations for image manipulation, segmentation, object detection, and motion analysis and tracking along with a few real-world use cases. A brief introduction of these concepts was already given in Chapter 1, so these chapters will take you deeper into the implementation specifics. This chapter, specificall...
Chapter
The goal of this chapter is to cover motion analysis and the tracking of objects. You will learn how to get information about different types of objects in motion, understand techniques to remove background and foreground information, and see real-time tracking options with hands-on implementation steps. The topics in this chapter are an extension...
Chapter
This chapter will lay the foundations for learning computer vision algorithms through hands-on exercises using the most widely adopted open source computer vision framework, OpenCV 3.4.3 with Python 3.7. The chapter will cover setting up your system with OpenCV and the Python libraries, understanding key modules and out-of-box functions for compute...
Chapter
In the previous chapter, you learned about image segmentation and contours. You also learned how to detect lines and circles using Hough lines and circles in OpenCV. In this chapter, you will learn how to detect objects and label them. Object detection is one of the most widely used capabilities of computer vision in multiple domains. In Chapter 1,...
Chapter
The field of artificial intelligence, and its application in day-to day life, has seen remarkable evolution in the past three to five years. Artificial intelligence (AI) is an enabler that potentially facilitates machines doing everything that humans can do. This includes perceiving, reasoning, rationalizing, and problem-solving while working withi...
Book
Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts with an introduction to computer vision followed by setting up OpenCV from scratch us...
Conference Paper
We are seeing a sea change down the pike in terms of financial information aggregation and consumption; this could potentially be a game changer in financial services space with focus on ability to commoditize data. Financial Services Industry deals with a tremendous amount of data that varies in its structure, volume and purpose. The data is gener...