Difference between revisions of "DeepStream Reference Designs/Getting Started/Environment Setup"
| Line 7: | Line 7: | ||
=== Framework === | === Framework === | ||
| + | The framework is the main infrastructure responsible for driving the application state and logic. All modules here do not need modification in order to implement a new application, consequently, this part is the common source that is shared with other applications. There are four principal sections that compose the framework: | ||
| + | * Camera Capture: In charge of keeping the control of media sources (cameras, RTSP streams). | ||
| + | * AI Manager: This module will process DeepStream inference defined by the application and will communicate with the next section. | ||
| + | * Action Dispatcher: Uses the data of DeepStream inference to do established actions depending on policies. The actions and policies are defined by the application. | ||
| + | * Config Parser: This module is in charge of loading the configuration files set up to be used by the application. | ||
| + | |||
| + | |||
=== Application === | === Application === | ||
== System Setup == | == System Setup == | ||
Revision as of 17:42, 9 May 2022
This page describes the fundamentals of RidgeRun's DeepStream Reference Designs. After reading this page it should be clear if the product meets your requirements for building your own applications.
Introduction
RidgeRun's DeepStream Reference Designs is a project that provides a robust and modular design, based on the NVIDIA DeepStream SDK, where the building blocks may be replaced to fit a wide variety of use cases. The main objective is to provide an infrastructure for an application using video analytics to perform informed decisions within the application domain. The system could be divided into the following parts:
Framework
The framework is the main infrastructure responsible for driving the application state and logic. All modules here do not need modification in order to implement a new application, consequently, this part is the common source that is shared with other applications. There are four principal sections that compose the framework:
- Camera Capture: In charge of keeping the control of media sources (cameras, RTSP streams).
- AI Manager: This module will process DeepStream inference defined by the application and will communicate with the next section.
- Action Dispatcher: Uses the data of DeepStream inference to do established actions depending on policies. The actions and policies are defined by the application.
- Config Parser: This module is in charge of loading the configuration files set up to be used by the application.
