{
"source": str, # name of the source stream
"source_id": int, # id of the stream
"frame_num": int, # frame number
"buf_pts": int,
"ntp_timestamp": int,
"object": [ # list of detected object
{
"class_id": int,
"class_name": str,
"track_id": str,
"object_id": int,
"confidence": float, # confidence of detection
"rect_params": { # location
"left": float,
"top": float,
"width": float,
"height": float
},
"text_params": { # text displayed on pipeline
"display_text": str
},
"classifier": [], # classifier data for object
"analytics": [ # analytics data for object
{
"dirStatus": str, # direction of object
"roiStatus": [], # ROIs the object occupies
"ocStatus": [], # OCs the object occupies
"lcStatus": [], # lines the object is crossing
"unique_id": int # id of the analytics engine
}
]
}
],
"analytics": [ # analytics data for the scene
{
"objCnt": {}, # object counts per class
"objInROIcnt": {}, # ROI counts
"objLCCumCnt": {}, # cumulative counts of line crosses, per line
"objLCCurrCnt": {}, # current count of objects crossing line, per line
"ocStatus": {}, # status of OCs
"unique_id": int # id of the analytics engine
}
],
"pipeline": str # name of the source pipeline
}