fun3dh v1.0.6

Install

Via NPM

npm install fun3d

import * as fun3d from "fun3d";

// or only import the class you need

import { Face, Pose, Hand } from "fun3d";

方法

FUN3D由3个类组成，用于面部、姿势和手计算。他们接受来自Facemesh、Blazepose、Handpose和Obsolental等模型的里程碑式输出。

// Accepts an array(468 or 478 with iris tracking) of vectors
fun3d.Face.solve(facelandmarkArray, {
    runtime: "tfjs", // `mediapipe` or `tfjs`
    video: HTMLVideoElement,
    imageSize: { height: 0, width: 0 },
    smoothBlink: false, // smooth left and right eye blink delays
    blinkSettings: [0.25, 0.75], // adjust upper and lower bound blink sensitivity
});

// Accepts arrays(33) of Pose keypoints and 3D Pose keypoints
fun3d.Pose.solve(poseWorld3DArray, poseLandmarkArray, {
    runtime: "tfjs", // `mediapipe` or `tfjs`
    video: HTMLVideoElement,
    imageSize: { height: 0, width: 0 },
    enableLegs: true,
});

// Accepts array(21) of hand landmark vectors; specify 'Right' or 'Left' side
fun3d.Hand.solve(handLandmarkArray, "Right");

// Using exported classes directly
Face.solve(facelandmarkArray);
Pose.solve(poseWorld3DArray, poseLandmarkArray);
Hand.solve(handLandmarkArray, "Right");

额外的方法

// Stabilizes left/right blink delays + wink by providing blenshapes and head rotation
fun3d.Face.stabilizeBlink(
    { r: 0, l: 1 }, // left and right eye blendshape values
    headRotationY, // head rotation in radians
    {
        noWink = false, // disables winking
        maxRot = 0.5 // max head rotation in radians before interpolating obscured eyes
    });

// The internal vector math class
fun3d.Vector();

Basic Usage

根据您选择使用的姿势和人脸检测模型，实现可能会有所不同，但原理仍然相同。本例使用Mediapipe，将它们简洁地结合在一起

import * as fun3d from 'fun3d'
import '@mediapipe/holistic/holistic';
import '@mediapipe/camera_utils/camera_utils';

let holistic = new Holistic({locateFile: (file) => {
    return `https://cdn.jsdelivr.net/npm/@mediapipe/holistic@0.4.1633559476/${file}`;
}});

holistic.onResults(results=>{
    // do something with prediction results
    // landmark names may change depending on TFJS/Mediapipe model version
    let facelm = results.faceLandmarks;
    let poselm = results.poseLandmarks;
    let poselm3D = results.ea;
    let rightHandlm = results.rightHandLandmarks;
    let leftHandlm = results.leftHandLandmarks;

    let faceRig = fun3d.Face.solve(facelm,{runtime:'mediapipe',video:HTMLVideoElement})
    let poseRig = fun3d.Pose.solve(poselm3d,poselm,{runtime:'mediapipe',video:HTMLVideoElement})
    let rightHandRig = fun3d.Hand.solve(rightHandlm,"Right")
    let leftHandRig = fun3d.Hand.solve(leftHandlm,"Left")

    };
});

// use Mediapipe's webcam utils to send video to holistic every frame
const camera = new Camera(HTMLVideoElement, {
  onFrame: async () => {
    await holistic.send({image: HTMLVideoElement});
  },
  width: 640,
  height: 480
});
camera.start();

由于Mediapipe和Tensorflow.js的结果略有不同

由于Mediapipe和Tensorflow的结果略有不同，建议指定您使用的运行时版本以及视频输入/图像大小作为参考。

fun3d.Pose.solve(poselm3D,poselm,{
    runtime:'tfjs', // default is 'mediapipe'
    video: HTMLVideoElement,// specify an html video or manually set image size
    imageSize:{
        width: 640,
        height: 480,
    };
})

fun3d.Face.solve(facelm,{
    runtime:'mediapipe', // default is 'tfjs'
    video: HTMLVideoElement,// specify an html video or manually set image size
    imageSize:{
        width: 640,
        height: 480,
    };
})

输出

以下是fun3d解算器的预期结果

// fun3d.Face.solve()
// Head rotations in radians
// Degrees and normalized rotations also available
{
    eye: {l: 1,r: 1},
    mouth: {
        x: 0,
        y: 0,
        shape: {A:0, E:0, I:0, O:0, U:0}
    },
    head: {
        x: 0,
        y: 0,
        z: 0,
        width: 0.3,
        height: 0.6,
        position: {x: 0.5, y: 0.5, z: 0}
    },
    brow: 0,
    pupil: {x: 0, y: 0}
}

// fun3d.Pose.solve()
// Joint rotations in radians, leg calculators are a WIP
{
    RightUpperArm: {x: 0, y: 0, z: -1.25},
    LeftUpperArm: {x: 0, y: 0, z: 1.25},
    RightLowerArm: {x: 0, y: 0, z: 0},
    LeftLowerArm: {x: 0, y: 0, z: 0},
    LeftUpperLeg: {x: 0, y: 0, z: 0},
    RightUpperLeg: {x: 0, y: 0, z: 0},
    RightLowerLeg: {x: 0, y: 0, z: 0},
    LeftLowerLeg: {x: 0, y: 0, z: 0},
    LeftHand: {x: 0, y: 0, z: 0},
    RightHand: {x: 0, y: 0, z: 0},
    Spine: {x: 0, y: 0, z: 0},
    Hips: {
        worldPosition: {x: 0, y: 0, z: 0},
        position: {x: 0, y: 0, z: 0},
        rotation: {x: 0, y: 0, z: 0},
    }
}

// fun3d.Hand.solve()
// Joint rotations in radians
// only wrist and thumb have 3 degrees of freedom
// all other finger joints move in the Z axis only
{
    RightWrist: {x: -0.13, y: -0.07, z: -1.04},
    RightRingProximal: {x: 0, y: 0, z: -0.13},
    RightRingIntermediate: {x: 0, y: 0, z: -0.4},
    RightRingDistal: {x: 0, y: 0, z: -0.04},
    RightIndexProximal: {x: 0, y: 0, z: -0.24},
    RightIndexIntermediate: {x: 0, y: 0, z: -0.25},
    RightIndexDistal: {x: 0, y: 0, z: -0.06},
    RightMiddleProximal: {x: 0, y: 0, z: -0.09},
    RightMiddleIntermediate: {x: 0, y: 0, z: -0.44},
    RightMiddleDistal: {x: 0, y: 0, z: -0.06},
    RightThumbProximal: {x: -0.23, y: -0.33, z: -0.12},
    RightThumbIntermediate: {x: -0.2, y: -0.19, z: -0.01},
    RightThumbDistal: {x: -0.2, y: 0.002, z: 0.15},
    RightLittleProximal: {x: 0, y: 0, z: -0.09},
    RightLittleIntermediate: {x: 0, y: 0, z: -0.22},
    RightLittleDistal: {x: 0, y: 0, z: -0.1}
}