Arm Tech Talk from Baidu How to apply AI to OCR text recognition
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=PahbeZvjAWQ
Register for our upcoming Arm Tech Talks here: https://www.arm.com/techtalks • Get ready for another one of our Arm Tech Talks! Every week, we discuss and explore some of the latest trends, technologies and best practices in the worlds of artificial intelligence, automotive, consumer technology, infrastructure, and IoT. All Arm Tech Talks focus on the latest cutting-edge research, real-world use cases, code examples, workshops, demos, and more—and it’s all on Arm. • 00:00 Intro to Arm Tech Talks • 04:07 Meet our Speakers • 05:57 Setting the context of the problem with deep learning • 08:45 Overview of Baidu PaddlePaddle • 10:27 Arm Virtual Hardware • 13:25 PaddleOCR (Optical Character Recognition) • 26:48 Using TVMC • 34:24 Deployment on Arm Virtual Hardware • 37:20 Demo of Baidu PaddlePaddle on AVH • 43:20 Q A • In this talk, the Baidu PaddlePaddle team will explore how to apply deep learning to an OCR text recognition task. They will show an end-to-end development workflow all the way from model training to application deployment. Attendees will learn how to: • Use PaddleOCR to obtain a trained English text recognition model. • Export the Paddle inference model. • Compile the Paddle inference model with TVMC for the target device. • Build a text recognition application and deploy it on the Arm Virtual Hardware Corstone-300 platform with Arm Cortex-M55. • This talk is part of the Arm Tech Talk Series: https://www.arm.com/techtalks • If you enjoyed this video, and don't want to miss any of our future Arm Tech Talks, please subscribe to our channel. • Stay connected with Arm: • Website: http://arm.com/ • Twitter: / arm • Facebook: / arm • LinkedIn: / arm • Instagram: / arm
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