MoveNet Multipose

MoveNet multiple body pose detection from Google MediaPipe.

Predicting Poses in an Image

Install Function in your Unity project then create a Function client:

using Function;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;

// Create a Function client
var fxn = FunctionUnity.Create();

Then predict the poses in an image:

// Predict poses
var prediction = await fxn.Predictions.Create(
    tag: "@natml/movenet-multipose",
    inputs: new () { ["image"] = image.ToImage() }
);
var poseObjects = prediction.results[0] as JArray;

Finally, parse the detected poses with the Pose struct:

// Parse the detected poses
Pose[] poses = poseObjects.ToObject<Pose[]>(Pose.Serializer);

Note

Check out the schema of the returned poses.

Requirements

• Unity 2022.3+

Supported Platforms

• Android API level 24+
• iOS 14+
• macOS 12+ (Apple Silicon and Intel)
• Windows 10+ (64-bit only)
• WebGL:
  • Chrome 91+
  • Firefox 90+
  • Safari 16.4+

Resources

• Join the Function community on Discord.
• See the Function documentation.
• Check out Function on GitHub.
• Email support at [email protected].

Thank you very much!