YOLO stands for you only look once. It is a fast image classification library that is optimized for GPU processing. YOLO tends to outperform all other computer vision libraries. In this recipe, we are going to implement a computer vision object detection using OpenCV's implementation of YOLO. In this example, we are going to use a pretrained model that has 40 common objects already trained.
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You're reading from Artificial Intelligence for IoT Cookbook
Michael Roshak is a cloud architect and strategist with extensive subject matter expertise in enterprise cloud transformation programs and infrastructure modernization through designing, and deploying cloud-oriented solutions and architectures. He is responsible for providing strategic advisory for cloud adoption, consultative technical sales, and driving broad cloud services consumption with highly strategic accounts across multiple industries.
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Michael Roshak is a cloud architect and strategist with extensive subject matter expertise in enterprise cloud transformation programs and infrastructure modernization through designing, and deploying cloud-oriented solutions and architectures. He is responsible for providing strategic advisory for cloud adoption, consultative technical sales, and driving broad cloud services consumption with highly strategic accounts across multiple industries.
Read more about Michael Roshak