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|a 1232115975
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|a 9781800563865
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|a UAMI
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|a Nelson, Abhilash,
|e author.
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|a Computer Vision :
|b YOLO Custom Object Detection with Colab GPU /
|c Nelson, Abhilash.
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|a 1st edition.
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|b Packt Publishing,
|c 2020.
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|a 1 online resource (1 video file, approximately 3 hr., 57 min.)
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|a Pre-train the Coco dataset and custom-train the coronavirus object detection model with Google Colab GPU About This Video Get started with the YOLO object detection method Build models for recognizing objects in images and real-time webcam videos Learn how to prepare custom datasets for building your own coronavirus detection model In Detail Object detection is a popular application of computer vision, helping a computer recognize and classify objects inside an image. This video course will help you learn Python-based object recognition methods and teach you how to develop custom object detection models. The course starts with an introduction to the YOLO (You Only Look Once) object detection system, Python programming, and convolutional neural networks (CNN). You'll get ready for object detection by installing Anaconda on your computer, and OpenCV library in Python. Next, you'll perform object detection and recognition on a single object in the image and on a real-time webcam video using a YOLO pre-trained model and the Coco dataset. Moving ahead, you'll learn the pros and cons of using a pre-trained dataset model and a custom-trained dataset model, along with exploring the free GPU offered by Google Colab. Toward the end, you'll create a custom dataset and train a darknet YOLO model to detect coronavirus from an electron microscope image or video output. By the end of this video course, you'll have developed the skills you need to build object recognition models using pre-defined and custom datasets.
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|f Packt Publishing
|g 2020
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|a Made available through: Safari, an O'Reilly Media Company.
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|a Online resource; Title from title screen (viewed September 30, 2020).
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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|a O'Reilly for Higher Education (Firm),
|e distributor.
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|a Safari, an O'Reilly Media Company.
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|u https://learning.oreilly.com/videos/~/9781800563865/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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