In the Intel® Distribution of OpenVINO workshop, you will learn the developer tools and hardware/software kits that Intel is developing to optimize performance and accelerate the deployment of deep learning inference at the edge.
Join us for a two-day, hands-on workshop where Intel® will take you through a computer vision workflow using the latest Intel® technologies and the OpenVINO toolkits including support for deep learning algorithms that help accelerate smart video applications. You will learn how to optimize and improve performance with and without external accelerators and utilize tools to help you identify the best hardware configuration for your needs. This workshop will also outline the various machine learning frameworks and topologies supported by Intel® accelerator tools in addition to a brief discussion on how to implement custom layers.
By attending this workshop you will learn:
- Intel® computer vision technology
- Application development with the OpenVINO™ toolkit
- To accelerate computer vision applications
- Performance optimization techniques with hardware acceleration
What we will provide:
Intel will provide the necessary hardware and software for the workshop.
Please register here!
*note: registration is not a guarantee of acceptance into the workshop. Registrants will receive confirmation if they are accepted to join.
- 8:30 AM - 9:00 AM - Registration and Networking
- 9:00 AM - 9:30 AM - Intel® Smart Video/Computer vision Tools Overview
- 9:30 AM - 9:45 AM - Demo
- 9:45 AM - 10:45 AM - Basic End to End Object Detection(presentation) + Object Detection with Caffe* model (lab)
- 10:45 AM - 11:00 AM - Break
- 11:00 AM - 11:30 AM - Intel® Movidius™ Inference Accelerator (presentation + lab)
- 11:30 AM - 12:00 AM - Classification with TensorFlow* model (lab)
- 12:00 PM - 01:00 PM - Lunch
- 1:00 PM - 1:45 PM - Object Detection with YOLOv3* model (lab)
- 1:45 PM - 2:30 PM - Hardware heterogeneity (presentation + lab)
- 2:30 PM - 2:45 PM - Break
- 2:45 PM - 4:00 PM - Optimization Tools and Techniques Part 1
- 4:00 PM - Q&A
- 8:30 AM - 9:00 AM - Welcome and registration
- 9:00 AM - 10:00 AM - Optimization Tools and Techniques Part 2
- 10:00 AM - 10:15 AM - Break
- 10:15 AM - 12:00 PM - Advanced Video Analytics
- 12:00 PM - 1:00 PM - Lunch
- 1:00 PM - 2:00 PM - Deploy application on the Edge Development Kit
- 2:00 PM - 2:15 PM - Break
- 2:15 PM - 3:00 PM - Custom Layers
- 3:00 PM - Q&A and Wrap Up
Who should attend?
This premium educational workshop is for CTOs, CIOs, Senior BDMs, software developers, IoT architects, data scientists, business process engineers, business technology solutions specialists and individuals focused and/or interested in industrial IoT.
Registration for this event will be facilitated by Intel. Please register here!
**Please note - registration for the event does not guarantee attendance. Registration applications will be reviewed by the Intel and ITA teams, and participants will be notified if selected to attend. Preference will be given to ITA members.
On Tuesday, July 23, the Intel team provided a preview of the Distribution of OpenVINO Toolkit Workshop. Please check out the recording here to preview the developer tools and hardware/software kits that Intel is developing to optimize performance and accelerate the deployment of deep learning inference at the edge.
Meet the speakers:
Elroy Ashtian, Jr., Technical Evangelist
As a member of the Intel technology evangelism team, Elroy provides industry thought leadership and technical expertise on Intel technology targeting IoT use cases. He creates technical documentation, labs, product prototypes and publishes editorial insights to positively influence commercial IoT solution developers and internal product development. Elroy graduated from Georgia Institute of Technology with a master’s degree in Computer Science specializing in Interactive Intelligence.
Karl Qi, Technical Evangelist
As a member of the Intel technology evangelism team, Karl focuses on enabling commercial IoT customers to create the optimal solution for their needs. He has over 15 years of experience in the FPGA industry, developing and supporting embedded applications, DSP applications, and deep learning/computer vision applications. Karl has a particular passion for enabling software programmers to leverage the capabilities of the FPGA through high-level programming languages and tools such as OpenCL, C++, MATLAB, and machine learning libraries.