Overview

This node collects CPU, GPU, Memory utilization and FPS statistics to profile machine performance, and adds them to metadata, where they can then be exported using Webhooks, Elasticsearch or saved with captured Clips and Snapshots.

Note that this is machine-level performance, so numbers are a cumulative of the number of pipelines and other processes you have running on your machine.

Inputs & Outputs

Inputs : 1, Media Format : Raw Video
Outputs : 1, Media Format: Raw Video
Output Metadata : Machine Performance Statistics

Properties

Property	Value
`interval`	Collect statistics at this interval (in frames) Ex: `20`

Metadata

Metadata Property	Description
`nodes.<node_id>`	Describes the stats and machine information collected by this node. Format : as defined in the example below. Note that all memory values are in GB, and all frequency values are in MHz. `<node_id>` for Profile Performance Nodes is of the form `profileX` (ex. `profile1`)

Example

"nodes": {
    "profile1": {
        "type": "profile",
        "stats": {
						"present": true,
            "fps": 21,
            "process": {
                "running_pipelines_count": 1
             },
             "system": {
                 "is_jetson": true,
                 "gpu_count": 1,
                 "cpu_count": 4,
                 "machine_name": "Intel(R) Xeon(R) CPU @ 2.30GHz, 4 CPU, 16 GB, Tesla T4",
                 "cpu_freq": 2300,
                 "mem_total": 16,
                 "lumeo_version": "0.2.36",
                 "board": {
                 		"gpus": [{
                    		"type": "Tesla T4",
                        "mem_total": 8                      
                    }]                   
                 },
                 "driver": "495.29.05"
             },
          	 "cpu": {
             		"mem_available": 16,
                "mem_used": 10,
                "mem_percent_used": 62.5,
                "cpu_percent_used": 22
             },
             "gpu": [{
             		"type": "Telsa T4",
                "mem_total": 8,
                "mem_available": 4,
                "mem_percent_used": 50, 
                "gpu_percent_used": 22               
             }]
        }
    }
}