Real-Time Object Detection for Disaster Response
Responding to disasters and rapidly changing humanitarian crisis events requires developers and engineers to create or update applications to meet requirements quickly and accurately.
Join this webinar to learn how to fine-tune the deployment workflow with NVIDIA's Transfer Learning Toolkit (TLT) - which in conjunction with DeepStream SDK offers a complete end-to-end solution for real-time object detection in video streams.
By attending this webinar, you'll:
-Learn data labeling, augmentation and pre-processing
-Use the toolkit to quickly build fast and accurate object detection models for disaster response requirements
-Export these models using TensorRT and perform real-time inference on NVIDIA Jetson Xavier edge devices with DeepStream SDK
-Learn data labeling, augmentation and pre-processing
-Use the toolkit to quickly build fast and accurate object detection models for disaster response requirements
-Export these models using TensorRT and perform real-time inference on NVIDIA Jetson Xavier edge devices with DeepStream SDK
Speaker and Presenter Information
James Skinner, Solutions Architect, NVIDIA
Relevant Government Agencies
DOD & Military, Other Federal Agencies, State Government, FEMA, Federal Government
Event Type
Webcast
This event has no exhibitor/sponsor opportunities
When
Tue, Oct 29, 2019, 10:00am - 11:00am
PT
Cost
Complimentary: $ 0.00
Website
Click here to visit event website
Organizer
NVIDIA Gov Team at Carahsoft Tech Corp