Unity Pose Event Broadcasting

2024-02-04 11:22 UTC gpt-4 Open in ChatGPT ↗

You

This is a C# Unity script that runs Mediapipe Blazepose for pose detection. However, we want to provide easy access to the joints using UnityEvents or some other GUI, student-friendly way. Write a script that receives the detector results and exposes them in a neat way:

Here’s the relevant part of the code // Predict pose by neural network model. detecter.ProcessImage(webCamInput.inputImageTexture);

    // Output landmark values(33 values) and the score whether human pose is visible (1 values).
    for(int i = 0; i < detecter.vertexCount + 1; i++){
        /*
        0~32 index datas are pose world landmark.
        Check below Mediapipe document about relation between index and landmark position.
        https://google.github.io/mediapipe/solutions/pose#pose-landmark-model-blazepose-ghum-3d
        Each data factors are
        x, y and z: Real-world 3D coordinates in meters with the origin at the center between hips.
        w: The score of whether the world landmark position is visible ([0, 1]).

        33 index data is the score whether human pose is visible ([0, 1]).
        This data is (score, 0, 0, 0).
        */
        Debug.LogFormat("{0}: {1}", i, detecter.GetPoseWorldLandmark(i));
    }
    Debug.Log("---");
}

ChatGPT

To make the access to joint data more user-friendly and accessible via the Unity editor, we can utilize UnityEvents to expose the joint data. UnityEvents can be used to create a callback system where methods can be subscribed to an event and get called when that event is triggered. This way, you can easily expose each joint’s data through the Unity editor without needing to write additional code to access them.

Here’s an example script that demonstrates how you might set this up. This script assumes that you have a PoseDetector component (which is your current script with the pose detection logic) and a new PoseEventBroadcaster component that listens for updates from the PoseDetector and then broadcasts these updates through UnityEvents.

First, define a serializable class to hold the pose data:

[System.Serializable]
public class PoseLandmarkEvent : UnityEvent<int, Vector3, float> { }

This class defines an event that will pass an integer for the landmark index, a Vector3 for the x, y, z coordinates, and a float for the visibility score.

Next, create the PoseEventBroadcaster script:

using UnityEngine;
using UnityEngine.Events;

public class PoseEventBroadcaster : MonoBehaviour
{
    public PoseDetector poseDetector; // Reference to the PoseDetector component
    public PoseLandmarkEvent onPoseLandmarkUpdated = new PoseLandmarkEvent(); // Event to broadcast pose updates

    private void OnEnable()
    {
        // Subscribe to the detector's update method (you might need to add such a method in your PoseDetector script)
        poseDetector.OnPoseDetected += BroadcastPoseUpdates;
    }

    private void OnDisable()
    {
        // Unsubscribe to avoid memory leaks
        poseDetector.OnPoseDetected -= BroadcastPoseUpdates;
    }

    private void BroadcastPoseUpdates()
    {
        for (int i = 0; i < poseDetector.vertexCount + 1; i++)
        {
            Vector4 landmark = poseDetector.GetPoseWorldLandmark(i);
            Vector3 position = new Vector3(landmark.x, landmark.y, landmark.z);
            float visibility = landmark.w; // Assuming w is the visibility score

            // Broadcast the event with the landmark index, position, and visibility score
            onPoseLandmarkUpdated.Invoke(i, position, visibility);
        }
    }
}

In your PoseDetector script, you’ll need to add an event that is triggered whenever a new pose is detected. This event can be a simple C# event or a UnityEvent, depending on your preference. Here’s a simple addition to your PoseDetector script:

public event Action OnPoseDetected;

// Call this method at the end of your pose detection logic
private void Update()
{
    // Your existing pose detection logic

    // Trigger the event
    OnPoseDetected?.Invoke();
}

Then, in the Unity Editor, you can attach the PoseEventBroadcaster script to a GameObject and assign the PoseDetector instance to it. You can then use the inspector to add listeners to the onPoseLandmarkUpdated event, which could be methods in other scripts, enabling easy, GUI-driven access to pose data.

This setup allows designers, developers, or educators to hook into the pose detection events directly from the Unity Editor, making it more accessible for students and other non-programmer team members to interact with and use the data provided by the pose detection system.

You

But I want to access them by name like “Head” in Unity Editor, or ideally bind them to a bone rif

ChatGPT

To access pose landmarks by name and potentially bind them to a bone rig in Unity, you’ll want to create a more structured system that maps each landmark to a human-readable name and, if necessary, to corresponding bones in a character rig. This involves a few steps:

1. Define Landmark Names: Create an enumeration or a series of constants that represent each landmark’s name.
2. Landmark Data Structure: Create a class or struct that holds the landmark data (position, visibility, and name).
3. Landmark Manager: Implement a system that manages the landmarks, updating them with data from the pose detector and broadcasting named events or directly manipulating a bone rig.
4. Bone Binding (Optional): If you want to bind landmarks to bones, you’ll need a way to map each landmark to a specific bone and update the bone’s transform based on the landmark’s position.

Step 1: Define Landmark Names

public enum PoseLandmark
{
    Nose,
    LeftEyeInner,
    LeftEye,
    // Add all other landmarks following the Mediapipe Blazepose documentation
    RightEye,
    RightEyeInner,
    // Continue for all 33 landmarks
}

Step 2: Landmark Data Structure

[System.Serializable]
public class PoseLandmarkData
{
    public PoseLandmark landmark;
    public Vector3 position;
    public float visibility;

    public PoseLandmarkData(PoseLandmark landmark, Vector3 position, float visibility)
    {
        this.landmark = landmark;
        this.position = position;
        this.visibility = visibility;
    }
}

Step 3: Landmark Manager

using UnityEngine;
using UnityEngine.Events;

[System.Serializable]
public class PoseLandmarkUpdatedEvent : UnityEvent<PoseLandmarkData> { }

public class PoseLandmarkManager : MonoBehaviour
{
    public PoseDetector poseDetector; // Your existing pose detector
    public PoseLandmarkUpdatedEvent onPoseLandmarkUpdated = new PoseLandmarkUpdatedEvent();

    private void OnEnable()
    {
        poseDetector.OnPoseDetected += UpdateLandmarks;
    }

    private void OnDisable()
    {
        poseDetector.OnPoseDetected -= UpdateLandmarks;
    }

    private void UpdateLandmarks()
    {
        for (int i = 0; i < poseDetector.vertexCount; i++)
        {
            Vector4 landmark = poseDetector.GetPoseWorldLandmark(i);
            Vector3 position = new Vector3(landmark.x, landmark.y, landmark.z);
            float visibility = landmark.w;
            PoseLandmark landmarkEnum = (PoseLandmark)i; // Cast index to PoseLandmark enum

            // Create a new PoseLandmarkData object and invoke the event
            PoseLandmarkData landmarkData = new PoseLandmarkData(landmarkEnum, position, visibility);
            onPoseLandmarkUpdated.Invoke(landmarkData);
        }
    }
}

Step 4: Bone Binding (Optional)

If you want to bind these landmarks to bones in a character rig, you would need an additional component that listens to the onPoseLandmarkUpdated events and then updates the corresponding bone transforms. This component would need a mapping from PoseLandmark values to the Transform components of the bones in your character rig. This can get quite complex, especially if you want to handle rotations and not just positions, as it involves inverse kinematics (IK) to ensure realistic movement.

For a basic setup, you could start with something like this:

public class PoseToRigBinder : MonoBehaviour
{
    public PoseLandmarkManager landmarkManager;
    public Transform[] boneTransforms; // An array to hold all the corresponding bone transforms

    private void OnEnable()
    {
        landmarkManager.onPoseLandmarkUpdated.AddListener(UpdateBone);
    }

    private void OnDisable()
    {
        landmarkManager.onPoseLandmarkUpdated.RemoveListener(UpdateBone);
    }

    private void UpdateBone(PoseLandmarkData landmarkData)
    {
        // Example: if you have a direct mapping of the enum value to the index of the boneTransforms array
        int boneIndex = (int)landmarkData.landmark;
        if (boneIndex >= 0 && boneIndex < boneTransforms.Length)
        {
            Transform bone = boneTransforms[boneIndex];
            if (bone != null)
            {
                // Here you would set the position. Adjusting rotation might require more complex IK setup.
                bone.position = landmarkData.position;
            }
        }
    }
}

This setup requires careful mapping of landmarks to bones and might not directly result in realistic movement, especially for complex articulations. For more sophisticated movement, including rotations and constraints, you might need to integrate an IK solution, which Unity’s Animation Rigging package or third-party solutions like Final IK can provide.

You

Turn this list, into a dictionary<string,int> that i can use in Unity. Use pascal case, so that “left foot” becomes “LeftFoot”

0 - nose 1 - left eye (inner) 2 - left eye 3 - left eye (outer) 4 - right eye (inner) 5 - right eye 6 - right eye (outer) 7 - left ear 8 - right ear 9 - mouth (left) 10 - mouth (right) 11 - left shoulder 12 - right shoulder 13 - left elbow 14 - right elbow 15 - left wrist 16 - right wrist 17 - left pinky 18 - right pinky 19 - left index 20 - right index 21 - left thumb 22 - right thumb 23 - left hip 24 - right hip 25 - left knee 26 - right knee 27 - left ankle 28 - right ankle 29 - left heel 30 - right heel 31 - left foot index 32 - right foot index

ChatGPT

Here’s a dictionary in C# with keys in PascalCase representing each body part and their corresponding index values:

Dictionary<string, int> landmarksDict = new Dictionary<string, int>
{
    {"Nose", 0},
    {"LeftEyeInner", 1},
    {"LeftEye", 2},
    {"LeftEyeOuter", 3},
    {"RightEyeInner", 4},
    {"RightEye", 5},
    {"RightEyeOuter", 6},
    {"LeftEar", 7},
    {"RightEar", 8},
    {"MouthLeft", 9},
    {"MouthRight", 10},
    {"LeftShoulder", 11},
    {"RightShoulder", 12},
    {"LeftElbow", 13},
    {"RightElbow", 14},
    {"LeftWrist", 15},
    {"RightWrist", 16},
    {"LeftPinky", 17},
    {"RightPinky", 18},
    {"LeftIndex", 19},
    {"RightIndex", 20},
    {"LeftThumb", 21},
    {"RightThumb", 22},
    {"LeftHip", 23},
    {"RightHip", 24},
    {"LeftKnee", 25},
    {"RightKnee", 26},
    {"LeftAnkle", 27},
    {"RightAnkle", 28},
    {"LeftHeel", 29},
    {"RightHeel", 30},
    {"LeftFootIndex", 31},
    {"RightFootIndex", 32}
};

You can use this landmarksDict in your Unity scripts to easily access the index of each landmark by its name.

You

Also create Transform variables with the same names, and on Update iterate the array of VEctor3 landmarks, and use the dictionary to assign positions to the transforms

ChatGPT

To achieve this in Unity, you’ll want to have a script attached to a GameObject that holds Transform variables for each landmark. In the Update method, you would iterate through an array of Vector3 positions (representing the landmarks), and use the dictionary to match each position to the corresponding Transform.

Here’s a script example that demonstrates this setup:

using System.Collections.Generic;
using UnityEngine;

public class LandmarkTransformUpdater : MonoBehaviour
{
    // Dictionary mapping landmark names to their indices
    private Dictionary<string, int> landmarksDict = new Dictionary<string, int>
    {
        {"Nose", 0},
        {"LeftEyeInner", 1},
        {"LeftEye", 2},
        {"LeftEyeOuter", 3},
        {"RightEyeInner", 4},
        {"RightEye", 5},
        {"RightEyeOuter", 6},
        {"LeftEar", 7},
        {"RightEar", 8},
        {"MouthLeft", 9},
        {"MouthRight", 10},
        {"LeftShoulder", 11},
        {"RightShoulder", 12},
        {"LeftElbow", 13},
        {"RightElbow", 14},
        {"LeftWrist", 15},
        {"RightWrist", 16},
        {"LeftPinky", 17},
        {"RightPinky", 18},
        {"LeftIndex", 19},
        {"RightIndex", 20},
        {"LeftThumb", 21},
        {"RightThumb", 22},
        {"LeftHip", 23},
        {"RightHip", 24},
        {"LeftKnee", 25},
        {"RightKnee", 26},
        {"LeftAnkle", 27},
        {"RightAnkle", 28},
        {"LeftHeel", 29},
        {"RightHeel", 30},
        {"LeftFootIndex", 31},
        {"RightFootIndex", 32}
    };

    // Transform variables for each landmark
    public Transform Nose, LeftEyeInner, LeftEye, LeftEyeOuter, RightEyeInner, RightEye, RightEyeOuter,
        LeftEar, RightEar, MouthLeft, MouthRight, LeftShoulder, RightShoulder, LeftElbow, RightElbow,
        LeftWrist, RightWrist, LeftPinky, RightPinky, LeftIndex, RightIndex, LeftThumb, RightThumb,
        LeftHip, RightHip, LeftKnee, RightKnee, LeftAnkle, RightAnkle, LeftHeel, RightHeel,
        LeftFootIndex, RightFootIndex;

    // Array of Vector3 positions representing the landmarks (this would be updated with actual data in your application)
    public Vector3[] landmarkPositions;

    void Update()
    {
        // Check if landmarkPositions array is initialized and has the correct length
        if (landmarkPositions != null && landmarkPositions.Length == landmarksDict.Count)
        {
            foreach (var landmark in landmarksDict)
            {
                // Find the Transform field by name using reflection
                var field = GetType().GetField(landmark.Key, System.Reflection.BindingFlags.Public | System.Reflection.BindingFlags.Instance);
                if (field != null)
                {
                    var transform = field.GetValue(this) as Transform;
                    if (transform != null)
                    {
                        // Update the position of the Transform with the corresponding landmark position
                        transform.position = landmarkPositions[landmark.Value];
                    }
                }
            }
        }
    }
}

This script uses reflection to find Transform fields based on the landmark names in the dictionary, and then updates their positions with the corresponding values from the landmarkPositions array. You would need to ensure that the landmarkPositions array is updated with the current positions of the landmarks (this data would come from your pose detection system).

Please note that using reflection can have performance implications, especially if called frequently in the Update method. If performance becomes an issue, consider using a more direct approach to mapping transforms to their respective landmarks, such as an array or a list of transforms ordered according to the landmark indices.

You

Format the Transforms using [Header] and [Space] attributes, so that they look clean and organized in the inspector

ChatGPT

To organize and format the Transform variables in the Unity Inspector, you can use the [Header] and [Space] attributes to group related variables and add spacing for better readability. Below is an updated version of the previous script with these attributes added for a cleaner layout:

using System.Collections.Generic;
using UnityEngine;

public class LandmarkTransformUpdater : MonoBehaviour
{
    // Dictionary mapping landmark names to their indices
    private Dictionary<string, int> landmarksDict = new Dictionary<string, int>
    {
        // Dictionary initialization...
    };

    // Array of Vector3 positions representing the landmarks
    public Vector3[] landmarkPositions;

    [Header("Eye Transforms")]
    [Space(5)]
    public Transform LeftEyeInner, LeftEye, LeftEyeOuter, RightEyeInner, RightEye, RightEyeOuter;

    [Header("Ear Transforms")]
    [Space(5)]
    public Transform LeftEar, RightEar;

    [Header("Mouth Transforms")]
    [Space(5)]
    public Transform MouthLeft, MouthRight;

    [Header("Shoulder Transforms")]
    [Space(5)]
    public Transform LeftShoulder, RightShoulder;

    [Header("Elbow Transforms")]
    [Space(5)]
    public Transform LeftElbow, RightElbow;

    [Header("Wrist & Hand Transforms")]
    [Space(5)]
    public Transform LeftWrist, RightWrist, LeftPinky, RightPinky, LeftIndex, RightIndex, LeftThumb, RightThumb;

    [Header("Lower Body Transforms")]
    [Space(5)]
    public Transform LeftHip, RightHip, LeftKnee, RightKnee, LeftAnkle, RightAnkle, LeftHeel, RightHeel, LeftFootIndex, RightFootIndex;

    [Header("Miscellaneous Transforms")]
    [Space(5)]
    public Transform Nose;

    void Update()
    {
        // Update logic...
    }
}

In this script, related Transform variables are grouped under headers such as “Eye Transforms”, “Ear Transforms”, “Mouth Transforms”, etc., with a small space added between each group for better separation. This organization makes it easier to find and manage specific Transform variables in the Unity Inspector.

Remember to replace the // Dictionary initialization... and // Update logic... placeholders with the actual dictionary initialization and update logic from the previous examples or your own implementation.

You

Optimize this code. doesnt need reflection in every frame

// Check if landmarkPositions array is initialized and has the correct length if (landmarkPositions != null && landmarkPositions.Length == landmarksDict.Count) { foreach (var landmark in landmarksDict) { // Find the Transform field by name using reflection var field = GetType().GetField(landmark.Key, System.Reflection.BindingFlags.Public | System.Reflection.BindingFlags.Instance); if (field != null) { var transform = field.GetValue(this) as Transform; if (transform != null) { // Update the position of the Transform with the corresponding landmark position transform.position = landmarkPositions[landmark.Value]; } } } }

ChatGPT

To optimize the code and avoid using reflection in every frame, you can cache the Transform references in a dictionary during the initialization phase (e.g., Awake or Start method) of your script. This way, you only use reflection once at the beginning, and then you can directly access the Transform components from the dictionary in the Update method. Here’s how you can do it:

using System.Collections.Generic;
using UnityEngine;

public class LandmarkTransformUpdater : MonoBehaviour
{
    private Dictionary<string, int> landmarksDict = new Dictionary<string, int>
    {
        // Dictionary initialization...
    };

    // Array of Vector3 positions representing the landmarks
    public Vector3[] landmarkPositions;

    // Cache for Transform components
    private Dictionary<string, Transform> transformCache = new Dictionary<string, Transform>();

    void Awake()
    {
        // Cache Transform references using reflection
        foreach (var landmark in landmarksDict)
        {
            var field = GetType().GetField(landmark.Key, System.Reflection.BindingFlags.Public | System.Reflection.BindingFlags.Instance);
            if (field != null)
            {
                var transform = field.GetValue(this) as Transform;
                if (transform != null)
                {
                    transformCache.Add(landmark.Key, transform);
                }
            }
        }
    }

    void Update()
    {
        // Check if landmarkPositions array is initialized and has the correct length
        if (landmarkPositions != null && landmarkPositions.Length == landmarksDict.Count)
        {
            foreach (var landmark in landmarksDict)
            {
                if (transformCache.TryGetValue(landmark.Key, out Transform transform))
                {
                    // Update the position of the Transform with the corresponding landmark position
                    transform.position = landmarkPositions[landmark.Value];
                }
            }
        }
    }
}

In this optimized version, the Awake method is used to cache the Transform references. The transformCache dictionary maps the landmark names to their corresponding Transform components. Then, in the Update method, you simply use the cached Transforms to update their positions. This approach significantly reduces the overhead of using reflection every frame, leading to better performance.

You

Don’t comma separate, place explicitly [Header(“Eye Transforms”)] [Space(5)] public Transform LeftEyeInner, LeftEye, LeftEyeOuter, RightEyeInner, RightEye, RightEyeOuter;

[Header("Ear Transforms")]
[Space(5)]
public Transform LeftEar, RightEar;

[Header("Mouth Transforms")]
[Space(5)]
public Transform MouthLeft, MouthRight;

[Header("Shoulder Transforms")]
[Space(5)]
public Transform LeftShoulder, RightShoulder;

[Header("Elbow Transforms")]
[Space(5)]
public Transform LeftElbow, RightElbow;

[Header("Wrist & Hand Transforms")]
[Space(5)]
public Transform LeftWrist, RightWrist, LeftPinky, RightPinky, LeftIndex, RightIndex, LeftThumb, RightThumb;

[Header("Lower Body Transforms")]
[Space(5)]
public Transform LeftHip, RightHip, LeftKnee, RightKnee, LeftAnkle, RightAnkle, LeftHeel, RightHeel, LeftFootIndex, RightFootIndex;

ChatGPT

To explicitly declare each Transform variable on its own line without using comma separation, you can modify the declaration of the Transform variables in your script like this:

public class LandmarkTransformUpdater : MonoBehaviour
{
    [Header("Eye Transforms")]
    [Space(5)]
    public Transform LeftEyeInner;
    public Transform LeftEye;
    public Transform LeftEyeOuter;
    public Transform RightEyeInner;
    public Transform RightEye;
    public Transform RightEyeOuter;

    [Header("Ear Transforms")]
    [Space(5)]
    public Transform LeftEar;
    public Transform RightEar;

    [Header("Mouth Transforms")]
    [Space(5)]
    public Transform MouthLeft;
    public Transform MouthRight;

    [Header("Shoulder Transforms")]
    [Space(5)]
    public Transform LeftShoulder;
    public Transform RightShoulder;

    [Header("Elbow Transforms")]
    [Space(5)]
    public Transform LeftElbow;
    public Transform RightElbow;

    [Header("Wrist & Hand Transforms")]
    [Space(5)]
    public Transform LeftWrist;
    public Transform RightWrist;
    public Transform LeftPinky;
    public Transform RightPinky;
    public Transform LeftIndex;
    public Transform RightIndex;
    public Transform LeftThumb;
    public Transform RightThumb;

    [Header("Lower Body Transforms")]
    [Space(5)]
    public Transform LeftHip;
    public Transform RightHip;
    public Transform LeftKnee;
    public Transform RightKnee;
    public Transform LeftAnkle;
    public Transform RightAnkle;
    public Transform LeftHeel;
    public Transform RightHeel;
    public Transform LeftFootIndex;
    public Transform RightFootIndex;

    // Rest of the script...
}

This format places each Transform variable on its own line, making it more readable and easier to manage in the Unity Inspector. Each variable is explicitly declared, adhering to your request to avoid comma-separated declarations.

You

Assuming a default Unity Humanoid Rig .fbx is imported, automatically read it and link it’s joint transforms to the transforms we have. Skip all the face and finger transforms

ChatGPT

To automatically link the joint transforms of a default Unity Humanoid Rig to the transforms in your script, you would need to programmatically traverse the rig and assign the relevant transforms. Since Unity’s Humanoid rig uses specific naming conventions, you can leverage these to find and assign the corresponding transforms.

However, it’s important to note that Unity doesn’t expose the Humanoid bone mappings directly in a way that can be easily accessed through script in the Editor without playing the game. You typically access them via the Animator component and its GetBoneTransform method, which requires the game to be running.

Here’s an example of how you might set up your script to automatically link the joint transforms upon starting the game. This example skips face and finger transforms as requested:

using UnityEngine;

public class RigLinker : MonoBehaviour
{
    public Animator animator; // Assign this in the inspector with the Animator component of your humanoid model

    [Header("Upper Body Transforms")]
    public Transform Head;
    public Transform LeftShoulder;
    public Transform RightShoulder;
    public Transform LeftUpperArm;
    public Transform RightUpperArm;
    public Transform LeftForearm;
    public Transform RightForearm;
    public Transform LeftHand;
    public Transform RightHand;

    [Header("Lower Body Transforms")]
    public Transform LeftUpperLeg;
    public Transform RightUpperLeg;
    public Transform LeftLowerLeg;
    public Transform RightLowerLeg;
    public Transform LeftFoot;
    public Transform RightFoot;

    void Start()
    {
        if (animator == null)
        {
            Debug.LogError("Animator component not assigned.");
            return;
        }

        LinkTransforms();
    }

    void LinkTransforms()
    {
        Head = animator.GetBoneTransform(HumanBodyBones.Head);
        LeftShoulder = animator.GetBoneTransform(HumanBodyBones.LeftShoulder);
        RightShoulder = animator.GetBoneTransform(HumanBodyBones.RightShoulder);
        LeftUpperArm = animator.GetBoneTransform(HumanBodyBones.LeftUpperArm);
        RightUpperArm = animator.GetBoneTransform(HumanBodyBones.RightUpperArm);
        LeftForearm = animator.GetBoneTransform(HumanBodyBones.LeftLowerArm);
        RightForearm = animator.GetBoneTransform(HumanBodyBones.RightLowerArm);
        LeftHand = animator.GetBoneTransform(HumanBodyBones.LeftHand);
        RightHand = animator.GetBoneTransform(HumanBodyBones.RightHand);

        LeftUpperLeg = animator.GetBoneTransform(HumanBodyBones.LeftUpperLeg);
        RightUpperLeg = animator.GetBoneTransform(HumanBodyBones.RightUpperLeg);
        LeftLowerLeg = animator.GetBoneTransform(HumanBodyBones.LeftLowerLeg);
        RightLowerLeg = animator.GetBoneTransform(HumanBodyBones.RightLowerLeg);
        LeftFoot = animator.GetBoneTransform(HumanBodyBones.LeftFoot);
        RightFoot = animator.GetBoneTransform(HumanBodyBones.RightFoot);

        // Log a message to confirm the linking
        Debug.Log("Humanoid Rig Transforms Linked Successfully.");
    }
}

In this script, you first assign the Animator component of your humanoid model to the animator field in the Unity Inspector. When the game starts, the LinkTransforms method is called, which uses animator.GetBoneTransform to find and assign each relevant bone transform to the public Transform fields in your script. This method skips over facial and finger bones as they are not included in the listed fields.

Remember, this setup requires the game to be running to work, as it relies on the Animator component’s runtime methods. If you need to link these transforms at design time (i.e., without playing the game), you’d typically have to manually assign them or write a custom editor script that uses reflection or searches by name conventions.

You

fidn the best mapping from blazepose landmarks to unity humanoid bones

ChatGPT

Mapping BlazePose landmarks to Unity’s Humanoid bones involves finding the closest corresponding bones for each landmark based on their anatomical positions. BlazePose provides 33 landmarks that cover the entire body, but not all of them have a direct equivalent in Unity’s simplified Humanoid rig, which focuses more on major joints and omits detailed facial and hand landmarks.

Below is a suggested mapping of BlazePose landmarks to Unity Humanoid bones, focusing on the best possible matches. This mapping skips facial features and fingers, as Unity’s Humanoid rig does not define individual bones for these parts by default.

BlazePose Landmarks to Unity Humanoid Bones Mapping

• Head and Neck

  • Nose → Head
  • Left Ear / Right Ear → not directly mappable, but closest would be Head

• Upper Body

  • Left Shoulder / Right Shoulder → Left/Right Upper Arm (as Unity doesn’t have a direct shoulder bone, the upper arm is the closest match)
  • Left Elbow / Right Elbow → Left/Right Lower Arm
  • Left Wrist / Right Wrist → Left/Right Hand

• Lower Body

  • Left Hip / Right Hip → Left/Right Upper Leg
  • Left Knee / Right Knee → Left/Right Lower Leg
  • Left Ankle / Right Ankle → Left/Right Foot
  • Left Heel / Right Heel → not directly mappable, but closest would be Left/Right Foot
  • Left Foot Index / Right Foot Index → not directly mappable, but closest would be Left/Right Toes (if using an advanced rig that includes toes)

Implementation Notes

• Unity’s Humanoid rig does not have specific landmarks for the torso apart from the Spine and Hips. You might use the midpoint between left and right hips as an approximation for the lower spine.
• The Humanoid rig does not include specific bones for the ears or nose, so these landmarks can’t be directly mapped. They are generally considered part of the head.
• Unity’s simplified Humanoid rig does not have bones for individual fingers or facial features like the eyes or mouth. For more detailed facial and hand animations, you would need a more complex rig and possibly additional software or Unity packages.

Example Code Snippet

Here’s a hypothetical example of how you might set up the mapping in a Unity script, assuming you have an array or list of Vector3 positions for each BlazePose landmark:

void MapBlazePoseToUnityHumanoid()
{
    Transform head = animator.GetBoneTransform(HumanBodyBones.Head);
    Transform leftUpperArm = animator.GetBoneTransform(HumanBodyBones.LeftUpperArm);
    Transform rightUpperArm = animator.GetBoneTransform(HumanBodyBones.RightUpperArm);
    // Add more mappings as needed...

    // Example of mapping - assuming you have a method to get the landmark position
    head.position = GetBlazePoseLandmarkPosition(BlazePoseLandmark.Nose);
    leftUpperArm.position = GetMidpoint(GetBlazePoseLandmarkPosition(BlazePoseLandmark.LeftShoulder), GetBlazePoseLandmarkPosition(BlazePoseLandmark.LeftElbow));
    rightUpperArm.position = GetMidpoint(GetBlazePoseLandmarkPosition(BlazePoseLandmark.RightShoulder), GetBlazePoseLandmarkPosition(BlazePoseLandmark.RightElbow));
    // Continue mapping other landmarks...
}

This example is quite simplified and hypothetical; in a real implementation, you would need to consider the scale and orientation differences between the BlazePose landmarks and the Unity rig, and possibly use inverse kinematics (IK) to achieve natural movements.

You

write the full implementation

ChatGPT

Implementing a full system to map BlazePose landmarks to a Unity Humanoid rig involves several steps:

1. Receiving and Normalizing BlazePose Data: Assuming you have a system in place that provides BlazePose landmarks (e.g., from a machine learning model running in real-time), you first need to ensure this data is normalized and scaled appropriately to fit the Unity world and your character’s scale.

2. Mapping Landmarks to Unity Bones: Identify the best corresponding Unity Humanoid bones for each relevant BlazePose landmark.

3. Applying Positions (and potentially Rotations): Update the Unity bones’ positions (and potentially rotations) based on the mapped BlazePose landmarks. This might involve interpolations and adjustments to ensure natural movement, as direct 1:1 mapping of positions might not always result in realistic animations.

4. Handling Unmappable Landmarks: Decide how to handle BlazePose landmarks that don’t have a direct Unity Humanoid bone equivalent, like facial features or finger joints.

Here’s a hypothetical implementation that covers these steps. This example assumes you have a method to receive BlazePose landmark data (GetBlazePoseLandmarkPosition) and focuses on a subset of body landmarks for clarity:

using UnityEngine;

public class BlazePoseToUnityMapper : MonoBehaviour
{
    public Animator animator; // Assign your character's Animator in the Inspector

    void Update()
    {
        // Map upper body landmarks
        MapUpperBody();

        // Map lower body landmarks
        MapLowerBody();
    }

    void MapUpperBody()
    {
        // Head
        UpdateBoneTransform(HumanBodyBones.Head, GetBlazePoseLandmarkPosition(BlazePoseLandmark.Nose));

        // Shoulders - Unity doesn't have a direct shoulder bone, so we use the upper arm and adjust the position slightly upwards
        UpdateBoneTransform(HumanBodyBones.LeftUpperArm, GetBlazePoseLandmarkPosition(BlazePoseLandmark.LeftShoulder), Vector3.up * 0.05f);
        UpdateBoneTransform(HumanBodyBones.RightUpperArm, GetBlazePoseLandmarkPosition(BlazePoseLandmark.RightShoulder), Vector3.up * 0.05f);

        // Elbows
        UpdateBoneTransform(HumanBodyBones.LeftLowerArm, GetBlazePoseLandmarkPosition(BlazePoseLandmark.LeftElbow));
        UpdateBoneTransform(HumanBodyBones.RightLowerArm, GetBlazePoseLandmarkPosition(BlazePoseLandmark.RightElbow));

        // Wrists
        UpdateBoneTransform(HumanBodyBones.LeftHand, GetBlazePoseLandmarkPosition(BlazePoseLandmark.LeftWrist));
        UpdateBoneTransform(HumanBodyBones.RightHand, GetBlazePoseLandmarkPosition(BlazePoseLandmark.RightWrist));
    }

    void MapLowerBody()
    {
        // Hips
        UpdateBoneTransform(HumanBodyBones.LeftUpperLeg, GetBlazePoseLandmarkPosition(BlazePoseLandmark.LeftHip));
        UpdateBoneTransform(HumanBodyBones.RightUpperLeg, GetBlazePoseLandmarkPosition(BlazePoseLandmark.RightHip));

        // Knees
        UpdateBoneTransform(HumanBodyBones.LeftLowerLeg, GetBlazePoseLandmarkPosition(BlazePoseLandmark.LeftKnee));
        UpdateBoneTransform(HumanBodyBones.RightLowerLeg, GetBlazePoseLandmarkPosition(BlazePoseLandmark.RightKnee));

        // Ankles
        UpdateBoneTransform(HumanBodyBones.LeftFoot, GetBlazePoseLandmarkPosition(BlazePoseLandmark.LeftAnkle));
        UpdateBoneTransform(HumanBodyBones.RightFoot, GetBlazePoseLandmarkPosition(BlazePoseLandmark.RightAnkle));
    }

    void UpdateBoneTransform(HumanBodyBones bone, Vector3 position, Vector3 offset = default)
    {
        Transform boneTransform = animator.GetBoneTransform(bone);
        if (boneTransform != null)
        {
            // Apply the position with an optional offset
            boneTransform.position = position + offset;

            // Optionally, apply rotation adjustments here
        }
    }

    Vector3 GetBlazePoseLandmarkPosition(BlazePoseLandmark landmark)
    {
        // This method should return the world position of the given BlazePose landmark
        // For the purpose of this example, it returns a dummy value
        return Vector3.zero;
    }
}

// Dummy enum for BlazePose landmarks, replace with actual landmark definitions
public enum BlazePoseLandmark
{
    Nose,
    LeftShoulder,
    RightShoulder,
    LeftElbow,
    RightElbow,
    LeftWrist,
    RightWrist,
    LeftHip,
    RightHip,
    LeftKnee,
    RightKnee,
    LeftAnkle,
    RightAnkle
}

Key Considerations:

• Normalization and Scaling: The positions received from BlazePose need to be scaled and translated to fit your character and the Unity world space correctly. This often involves converting from the coordinate system used by the pose detection (often screen or camera space) to Unity’s world space and adjusting for the size and orientation of your character.
• Rotation Handling: This example only updates positions. In a full implementation, you’d likely also need to calculate and apply rotations to each bone to achieve natural movement, which might involve inverse kinematics (IK) or quaternion calculations based on the direction between landmarks.
• Performance: Constantly updating bone positions every frame can be performance-intensive, especially if additional calculations for rotations and IK are involved. Optimize as necessary, possibly by updating only when significant movement is detected.
• Rig Compatibility: This approach assumes a standard Unity Humanoid rig. If your character’s rig deviates significantly from this standard, additional adjustments may be necessary.

This implementation is a starting point and may require adjustments to fit the specifics of your character and the data provided by your BlazePose implementation.