Overview

This node parses the output of "Bodypose 2D" model to extract the human pose keypoints and line segments.

Requires Model Inference Node (Bodypose 2D) prior to it in order to function properly.

Inputs & Outputs

Inputs : 1, Media Format : Raw Video
Outputs : 1, Media Format: Raw Video
Output Metadata : None

Properties

Property	Value
`draw_poses`	If true, human pose points and body joints connections will be drawn on video ex. `true` / `false`
`draw_labels`	If true, the text labels for body joints will be overlaid on video ex. `true` / `false`

Metadata

Metadata Property	Description
`nodes.<node_id>`	Body poses information as described in the JSON below. `<node_id>` for Pose Recognition Nodes is of the form `annotate_poseX` (ex. `annotate_pose1`)

{
    "nodes":{
        "parse_bodypose*":{
            "type":"annotate_pose",
            "poses_count":<int>,
            "poses":{
                "<pose_id>":{
                    "keypoints":{
                        "l_ank":{"x":<int>, "y":<int>},
                        "l_ear":{"x":<int>, "y":<int>},
                        "l_elb":{"x":<int>, "y":<int>},
                        "l_eye":{"x":<int>, "y":<int>},
                        "l_hip":{"x":<int>, "y":<int>},
                        "l_knee":{"x":<int>, "y":<int>},
                        "l_sho":{"x":<int>, "y":<int>},
                        "l_wri":{"x":<int>, "y":<int>},
                        "neck":{"x":<int>, "y":<int>},
                        "nose":{"x":<int>, "y":<int>},
                        "r_ank":{"x":<int>, "y":<int>},
                        "r_ear":{"x":<int>, "y":<int>},
                        "r_elb":{"x":<int>, "y":<int>},
                        "r_eye":{"x":<int>, "y":<int>},
                        "r_hip":{"x":<int>, "y":<int>},
                        "r_knee":{"x":<int>, "y":<int>},
                        "r_sho":{"x":<int>, "y":<int>},
                        "r_wri":{"x":<int>, "y":<int>}
                    },
                    "rect":[<int>, <int>, <int>, <int>],
                    "segments":[
                        ["neck", "r_sho"],
                        ["neck", "l_sho"],
                        ["r_sho", "r_elb"],
                        ["r_elb", "r_wri"],
                        ["l_sho", "l_elb"],
                        ["l_elb", "l_wri"],
                        ["neck", "r_hip"],
                        ["r_hip", "r_knee"],
                        ["r_knee", "r_ank"],
                        ["neck", "l_hip"],
                        ["l_hip", "l_knee"],
                        ["l_knee", "l_ank"],
                        ["neck", "nose"],
                        ["nose", "r_eye"],
                        ["r_eye", "r_ear"],
                        ["nose", "l_eye"],
                        ["l_eye", "l_ear"]
                    ]
                }
            }
        }
    }
}

Format

Key	Type	Description
`poses_count`	Integer	Total number of poses in the view right now
`poses`	Dict of pose IDs	Information about each detected human pose. `keypoints` : The x,y position on image for each detected human joint. The abbreviations on keypoints IDs translates to the following: `"l_ank"` => left ankle `"l_ear"` => left ear `"l_elb"` => left elbow `"l_eye"` => left eye `"l_hip"` => left hip `"l_knee"` => left knee `"l_sho"` => left shoulder `"l_wri"` => left wrist `"neck"` => neck `"nose"` => nose `"r_ank"` => right ankle `"r_ear"` => right ear `"r_elb"` => right elbow `"r_eye"` => right eye `"r_hip"` => right hip `"r_knee"` => right knee `"r_sho"` => right shoulder `"r_wri"` => right wrist `rect`: The person bounding box that contains all the detected keypoints `segments`: Relations between the detected keypoints to draw line segments Please check the `json` example for more details.