Verwandte Artikel zu Learn Computer Vision Using OpenCV: With Deep Learning...
Inhaltsangabe
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 using Python. The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you'll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision.
After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work.
What You Will Learn
- Understand what computer vision is, and its overall application in intelligent automation systems
- Discover the deep learning techniques required to build computer vision applications
- Build complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy
- Create practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysis
Those who have a basic understanding of machine learning and Python and are looking to learn computer vision and its applications.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Sunila Gollapudi has over 17 years of experience in developing, designing and architecting data-driven solutions with a focus on the banking and financial services sector. She is currently working at Broadridge, India as vice president. She's played various roles as chief architect, big data and AI evangelist, and mentor.
She has been a speaker at various conferences and meetups on Java and big data technologies. Her current big data and data science expertise includes Hadoop, Greenplum, MarkLogic, GemFire, ElasticSearch, Apache Spark, Splunk, R, Julia, Python (scikit-learn), Weka, MADlib, Apache Mahout, and advanced analytics techniques such as deep learning, computer vision, reinforcement, and ensemble learning.
Von der hinteren Coverseite
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 using Python. The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you’ll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision.
After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work.
You will:
- Understand what computer vision is, and its overall application in intelligent automation systems
- Discover the deep learning techniques required to build computer vision applications
- Build complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy
- Create practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysis
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 58,84
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & Dauer
Suchergebnisse für Learn Computer Vision Using OpenCV: With Deep Learning...
Foto des Verkäufers
Learn Computer Vision Using OpenCV
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -Who This Book Is ForAPress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 172 pp. Englisch. Artikel-Nr. 9781484242605
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Artikel-Nr. ria9781484242605_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 151 pages. 9.00x6.25x0.50 inches. In Stock. Artikel-Nr. x-1484242602
Anzahl: 2 verfügbar