Pipelines are organized according to the task they perform. Tasks are defined based on the types of input they accept and the types of output they generate. They specify the overall general topology of a pipeline. Pipelines within a task further specficy the model, algorithms and media formats used to perform a task. Each pipeline has well defined semantics that can be used to compare the performance and accuracy of different implementations and platforms.
Object detection pipelines take encoded video frames and produce bounding boxes of regions of interest and corresponding labels.
Object classification pipelines take encoded video frames and produce bounding boxes of regions of interest with labels and attributes. Object classification pipelines include a detection model and one or multiple classification models.
Decode VPP pipelines take encoded video frames and produce raw frames after performing crop, scale and color space conversion.
