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Intro
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IVA IN SMART CITIES
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DEEPSTREAM SOFTWARE STACK
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DEEPSTREAM 2.0
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DEEPSTREAM BUILDING BLOCK Gstreamer Plugin
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METADATA IN DEEPSTREAM
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METADATA STRUCTURE (1/2)
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DEEPSTREAM PIPELINE ARCHITECTURE
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NVIDIA-ACCELERATED PLUGINS Some of the most commonly used
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DECODER PLUGIN Name nvdec_h264, nvdec_H265
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MULTI-STREAM BATCHING
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VIDEO AGGREGRATOR
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INFERENCE Name nvinfer
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FORMAT CONVERSION & SCALING PLUGIN Name nvvidconv
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OBJECT TRACKER
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SCREEN TILER
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ON SCREEN DISPLAY
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AND MANY MORE PLUGINS
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MEMORY MANAGEMENT Efficient Memory Management
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MEMORY MANAGEMENT GPU to CPU copy
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DEEPSTREAM REFERENCE APPLICATION Vehicle detection, tracking, classification
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NVINFER CONFIGURATION FILE
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DEEPSTREAM SINGLE STREAM OUTPUT
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DEEPSTREAM REFERENCE APP OUTPUT
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DEEPSTREAM REFERENCE APPLICATION System Configuration & Performance for 25x 720p streams
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KPIs FOR PERFORMANCE
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MOTIVATION
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METHODOLOGY FOR PERFORMANCE ANALYSIS
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THROUGHPUT MEASUREMENT
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LATENCY MEASUREMENT USING GST-LOGS
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PERFORMANCE BEST PRACTICES
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CUSTOM PLUGIN FOR OBJECT DETECTION Implement custom TensorRT plugin layers for your network topology Integrate your TensorRT based object detection model in DeepStream
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YOLO V2 OVERVIEW
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DARKNET TO TENSORRT
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TENSORRT PLUGIN FACTORY
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CREATING APPLICATIONS WITH DEEPSTREAM Object detection and counting
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DEEPSTREAM MODULAR APPLICATION
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START DEVELOPING WITH DEEPSTREAM
Description:
Discover how to leverage AI-based video analytics applications using DeepStream SDK 2.0 for Tesla to transform video into valuable insights for smart cities. Explore the modular plugin architecture and scalable framework for application development, featuring frequently used plugins for multi-stream decoding/encoding, scaling, color space conversion, and tracking. Dive into topics such as IVA in smart cities, DeepStream software stack, metadata structure, pipeline architecture, and NVIDIA-accelerated plugins. Learn about efficient memory management, reference applications for vehicle detection and tracking, configuration files, and performance best practices. Gain insights on implementing custom TensorRT plugin layers, integrating object detection models, and creating modular applications with DeepStream. Download the NVIDIA DeepStream SDK and accompanying webinar slides to start developing powerful video analytics solutions.

Streamline Deep Learning for Video Analytics with DeepStream SDK 2.0

Nvidia
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#Computer Science #Deep Learning #Artificial Intelligence #Computer Vision #Object Detection #Social Sciences #Urban Planning #Smart Cities #Object Tracking #Machine Learning #TensorFlow #TensorRT #Programming #Software Development #GStreamer
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Intro