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Improving the Performance of Mask R-CNN Using TensorRT

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10 Dec 2018CPOL8 min read 11.4K   1  
The experience of improving Mask R-CNN performance six to ten times by applying TensorRT
In this article, we share how we managed to improve Mask R-CNN performance six to ten times by applying TensorRT during work on one of our projects concerning practical implementations of convolutional neural networks.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


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Chief Technology Officer Apriorit Inc.
United States United States
ApriorIT is a software research and development company specializing in cybersecurity and data management technology engineering. We work for a broad range of clients from Fortune 500 technology leaders to small innovative startups building unique solutions.

As Apriorit offers integrated research&development services for the software projects in such areas as endpoint security, network security, data security, embedded Systems, and virtualization, we have strong kernel and driver development skills, huge system programming expertise, and are reals fans of research projects.

Our specialty is reverse engineering, we apply it for security testing and security-related projects.

A separate department of Apriorit works on large-scale business SaaS solutions, handling tasks from business analysis, data architecture design, and web development to performance optimization and DevOps.

Official site: https://www.apriorit.com
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Software Developer Apriorit
Ukraine Ukraine
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