Pipeline topology describes the processing steps to be applied when processing media for a particular outcome. The topology should be defined according to the scenario to be achieved and can be reused across many pipeline instances which share the same processing characteristics. For instance, a pipeline topology which acquires data from a RTSP camera, process it with an specific AI model and stored the data on the cloud can be reused across many different cameras, as long as the same processing should be applied across all the cameras. Individual instance properties can be defined through the use of user-defined parameters, which allow for a topology to be parameterized, thus allowing individual pipelines to refer to different values, such as individual cameras RTSP endpoints and credentials. Overall a topology is composed of the following:
Pipeline topology unique identifier.
Pipeline topology properties.
Read-only system metadata associated with this object.
Generated using TypeDoc