16:40 - – Code Samples to Replay Recorded Stream, Start and Stop Recording
8
17:34 - - Pull NVStreamer Container on Host Machine
9
19:03 -- – Create RTSP Stream from a Video File for VST
10
21:02 - – Debugging and Diagnostics
11
22:10 - – Resources and Summary
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Grab it
Explore the Video Storage Toolkit (VST), a component of NVIDIA Metropolis microservices for Jetson, in this 24-minute tutorial. Learn how to manage and store footage from numerous video cameras using hardware-accelerated decoding, streaming, and storage. Gain insights into the product overview, installation process, user interface navigation, and implementation of code samples. Discover techniques for debugging and diagnostics, and access valuable resources for developing edge AI applications. Follow step-by-step instructions on pulling containers, creating RTSP streams, and utilizing the VST interface effectively. By the end of this comprehensive guide, acquire the skills to leverage VST for large-scale video management in edge AI solutions.
Video Storage Toolkit with Metropolis Microservices for Jetson - Overview and Installation