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DEEPSTREAM GRAPH ARCHITECTURE
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Classroom Contents
Implementing Real-time Vision AI Apps Using NVIDIA DeepStream SDK
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- 1 Intro
- 2 CHALLENGES WITH VIDEO ANALYTICS
- 3 SPEEDUP INTELLIGENT VIDEO ANALYTICS TRAINING & INFERENCE Use NVIDIA Purpose-Built Pretrained Models To Reduce Development Time by 10%
- 4 SOLVE INDUSTRY-SPECIFIC PROBLEMS DeepStream provides optimized, deployment ready pipeline with exceptional performance
- 5 DEEPSTREAM SDK OVERVIEW Streaming analysis toolkit for based multisensor processing, video and image understanding APPLICATIONS AND SERVICES
- 6 DEEPSTREAM GRAPH ARCHITECTURE
- 7 DEEPSTREAM 5.0 KEY FEATURES
- 8 DEEPSTREAM PYTHON BINDINGS
- 9 SAMPLE APPLICATIONS TO GET STARTED TODAY DeepStream Pipelines Using Python
- 10 IOT: BIDIRECTIONAL MESSAGING
- 11 SECURE COMMUNICATION USING KAFKA Secure edge-to-cloud messaging
- 12 IOT: OVER-THE-AIR MODEL UPDATE Eliminate latency be update on the fly
- 13 FASTER SEARCHABILITY WITH SMART RECORD
- 14 NATIVE INTEGRATION WITH TRITON INFERENCE SERVER Prototype End-to-End System Quickly
- 15 TRITON- DEEPSTREAM ARCHITECTURE
- 16 DEPLOYING AN OPEN SOURCE MODEL
- 17 UNLOCK GREATER PERFORMANCE USING DEEPSTREAM
- 18 END-TO-END AI USING TLT AND DEEPSTREAM
- 19 TLT PURPOSE-BUILT MODELS DEPLOYED USING DEEPSTREAM Achieving Higher Accuracy & Real-Time Performance
- 20 END-TO-END REFERENCE APPS Get started today
- 21 PEOPLE ANALYTICS FOR CROWDED SPACES Reference architecture demo
- 22 SOCIAL DISTANCING APP Reference architecture demo
- 23 FACE MASK/NO MASK DETECTION Reference architecture demo
- 24 DEEPSTREAM WORLDWIDE ADOPTION
- 25 SUMMARY
- 26 RESOURCES Get started today
