From b8ff170beb45c878d401969b3be2ff086cb0ddad Mon Sep 17 00:00:00 2001
From: linyisonger <linyisonger@qq.com>
Date: Sun, 23 Feb 2025 18:59:02 +0800
Subject: [PATCH] =?UTF-8?q?=E7=AC=AC=E4=B8=80=E6=AD=A5=E5=AE=8C=E6=88=90?=
 =?UTF-8?q?=EF=BC=8C=E7=AC=AC=E4=BA=8C=E6=AD=A5=E4=BC=98=E5=8C=96=E4=BB=A3?=
 =?UTF-8?q?=E7=A0=81?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 ...\347\232\204\350\210\236\350\200\205.html" |  396 ++-
 ...\347\224\237\346\210\220\345\231\250.html" |  309 +++
 assets/dance/bgm-c.png                        |  Bin 0 -> 3211 bytes
 assets/dance/bgm-o.png                        |  Bin 0 -> 3761 bytes
 assets/dance/kemusan.json                     | 2126 +++++++++++++++++
 assets/dance/kemusan.mp4                      |  Bin 0 -> 535046 bytes
 examples.txt                                  |    2 +
 7 files changed, 2611 insertions(+), 222 deletions(-)
 create mode 100644 "090.\347\201\253\346\237\264\344\272\272\347\224\237\346\210\220\345\231\250.html"
 create mode 100644 assets/dance/bgm-c.png
 create mode 100644 assets/dance/bgm-o.png
 create mode 100644 assets/dance/kemusan.json
 create mode 100644 assets/dance/kemusan.mp4
diff --git "a/089.\347\234\213\346\230\237\346\230\237\347\232\204\350\210\236\350\200\205.html" "b/089.\347\234\213\346\230\237\346\230\237\347\232\204\350\210\236\350\200\205.html"
index d3bc283..1ab6ce3 100644
--- "a/089.\347\234\213\346\230\237\346\230\237\347\232\204\350\210\236\350\200\205.html"
+++ "b/089.\347\234\213\346\230\237\346\230\237\347\232\204\350\210\236\350\200\205.html"
@@ -6,249 +6,108 @@
     <meta http-equiv="X-UA-Compatible" content="IE=edge">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <link rel="stylesheet" href="./assets/global.css">
-</head>
 
-<body>
-    <div id="container"></div>
-    <script type="importmap">
-        {
-          "imports": {
-            "three": "https://gcore.jsdelivr.net/npm/three/build/three.module.js",
-            "three/addons/": "https://gcore.jsdelivr.net/npm/three/examples/jsm/"
-          }
+    <style>
+        #container {
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            flex-wrap: wrap;
+            height: 100vh;
+            align-content: center;
+            position: relative;
         }
-    </script>
-    <script type="module">
-        import * as THREE from "three";
-        import { GLTFLoader } from "three/addons/loaders/GLTFLoader.js";
-
-
-        import { Octree } from "three/addons/math/Octree.js";
-        import { OctreeHelper } from "three/addons/helpers/OctreeHelper.js";
-        import { Capsule } from "three/addons/math/Capsule.js";
-        import { GUI } from "three/addons/libs/lil-gui.module.min.js";
-
-        const clock = new THREE.Clock();
-        const scene = new THREE.Scene();
-        scene.background = new THREE.Color(0x88ccee);
-        scene.fog = new THREE.Fog(0x88ccee, 0, 50);
-        const camera = new THREE.PerspectiveCamera(
-            70,
-            window.innerWidth / window.innerHeight,
-            0.1,
-            1000
-        );
-        camera.rotation.order = "YXZ";
-
-
-
-        const directionalLight = new THREE.DirectionalLight(0xffffff, 2.5);
-        directionalLight.position.set(-5, 25, -1);
-        directionalLight.castShadow = true;
-        directionalLight.shadow.camera.near = 0.01;
-        directionalLight.shadow.camera.far = 500;
-        directionalLight.shadow.camera.right = 30;
-        directionalLight.shadow.camera.left = -30;
-        directionalLight.shadow.camera.top = 30;
-        directionalLight.shadow.camera.bottom = -30;
-        directionalLight.shadow.mapSize.width = 1024;
-        directionalLight.shadow.mapSize.height = 1024;
-        directionalLight.shadow.radius = 4;
-        directionalLight.shadow.bias = -0.00006;
-        scene.add(directionalLight);
-
-        const container = document.getElementById("container");
-
-        const renderer = new THREE.WebGLRenderer({ antialias: true });
-        renderer.setPixelRatio(window.devicePixelRatio);
-        renderer.setSize(window.innerWidth, window.innerHeight);
-        renderer.shadowMap.enabled = true;
-        renderer.shadowMap.type = THREE.VSMShadowMap;
-        renderer.toneMapping = THREE.ACESFilmicToneMapping;
-        container.appendChild(renderer.domElement);
-
-        const GRAVITY = 30;
-        const SPHERE_RADIUS = 0.2;
-        const STEPS_PER_FRAME = 5;
-        const worldOctree = new Octree();
-        const playerBornPoint = { x: -2, z: -2 };
-        const playerCollider = new Capsule(
-            new THREE.Vector3(playerBornPoint.x, 0.35, playerBornPoint.z),
-            new THREE.Vector3(playerBornPoint.x, 1.8, playerBornPoint.z),
-            0.35
-        );
-        const playerVelocity = new THREE.Vector3();
-        const playerDirection = new THREE.Vector3();
-
-        let playerOnFloor = false;
-
-        const keyStates = {};
-
-        document.addEventListener("keydown", (event) => {
-            keyStates[event.code] = true;
-        });
-
-        document.addEventListener("keyup", (event) => {
-            keyStates[event.code] = false;
-        });
-
-        container.addEventListener("mousedown", () => {
-            document.body.requestPointerLock();
-        });
-
-        document.body.addEventListener("mousemove", (event) => {
-            if (document.pointerLockElement === document.body) {
-                camera.rotation.y -= event.movementX / 500;
-                camera.rotation.x -= event.movementY / 500;
-            }
-        });
 
-        window.addEventListener("resize", onWindowResize);
-
-        function onWindowResize() {
-            camera.aspect = window.innerWidth / window.innerHeight;
-            camera.updateProjectionMatrix();
-
-            renderer.setSize(window.innerWidth, window.innerHeight);
+        #container canvas {
+            margin-top: -140px
         }
 
-        function playerCollisions() {
-            const result = worldOctree.capsuleIntersect(playerCollider);
-
-            playerOnFloor = false;
-
-            if (result) {
-                playerOnFloor = result.normal.y > 0;
-
-                if (!playerOnFloor) {
-                    playerVelocity.addScaledVector(
-                        result.normal,
-                        -result.normal.dot(playerVelocity)
-                    );
-                }
-
-                playerCollider.translate(result.normal.multiplyScalar(result.depth));
-            }
+        .welcome-statement {
+            position: absolute;
+            top: 100px;
+            font-size: 40px;
+            color: #999;
         }
 
-        function updatePlayer(deltaTime) {
-            let damping = Math.exp(-4 * deltaTime) - 1;
-
-            if (!playerOnFloor) {
-                playerVelocity.y -= GRAVITY * deltaTime;
-
-                // small air resistance
-                damping *= 0.1;
-            }
-
-            playerVelocity.addScaledVector(playerVelocity, damping);
-
-            const deltaPosition = playerVelocity.clone().multiplyScalar(deltaTime);
-            playerCollider.translate(deltaPosition);
-
-            playerCollisions();
-
-            camera.position.copy(playerCollider.end);
+        .join-us {
+            position: absolute;
+            bottom: 200px;
+            z-index: 100;
+            display: inline-flex;
+            padding: 0 20px 3px;
+            line-height: 40px;
+            background: linear-gradient(to bottom, rgb(87, 196, 245), rgb(26, 147, 206));
+            color: rgb(254, 252, 255);
+            cursor: pointer;
+            border-radius: 4px;
+            font-weight: bold;
+            box-shadow: inset 0px -3px 0 rgb(19, 98, 139);
         }
 
-        function getForwardVector() {
-            camera.getWorldDirection(playerDirection);
-            playerDirection.y = 0;
-            playerDirection.normalize();
-
-            return playerDirection;
+        .join-us:active {
+            opacity: .7;
+            box-shadow: inset 0px 0px 0 transparent;
         }
 
-        function getSideVector() {
-            camera.getWorldDirection(playerDirection);
-            playerDirection.y = 0;
-            playerDirection.normalize();
-            playerDirection.cross(camera.up);
-
-            return playerDirection;
+        .bgm-controller {
+            position: absolute;
+            right: 20px;
+            top: 20px;
+            width: 40px;
         }
 
-        function controls(deltaTime) {
-            // gives a bit of air control
-            const speedDelta = deltaTime * (playerOnFloor ? 25 : 8);
-
-            if (keyStates["KeyW"]) {
-                playerVelocity.add(getForwardVector().multiplyScalar(speedDelta));
-            }
-
-            if (keyStates["KeyS"]) {
-                playerVelocity.add(getForwardVector().multiplyScalar(-speedDelta));
-            }
-
-            if (keyStates["KeyA"]) {
-                playerVelocity.add(getSideVector().multiplyScalar(-speedDelta));
-            }
-
-            if (keyStates["KeyD"]) {
-                playerVelocity.add(getSideVector().multiplyScalar(speedDelta));
-            }
-
-            if (playerOnFloor) {
-                if (keyStates["Space"]) {
-                    playerVelocity.y = 10;
-                }
-            }
+        .bgm-controller:active {
+            opacity: .7;
         }
+    </style>
+</head>
 
+<body>
+    <div id="container">
+        <!-- <audio class="bgm" muted="true">
+            <source src="./assets/dance/swing-dance.mp3" />
+        </audio> -->
+        <video class="bgm" muted style="display: none;">
+            <source src="./assets/dance/kemusan.mp4" />
+        </video>
 
-        const loader = new GLTFLoader().setPath("./assets/exhibition-hall/");
-        loader.load("平面.glb", (gltf) => {
-            scene.add(gltf.scene);
-
-            worldOctree.fromGraphNode(gltf.scene);
-            const helper = new OctreeHelper(worldOctree);
-            helper.visible = false;
-            scene.add(helper);
-            animate();
-        });
-        loader.load(
-            "简单的人物.glb",
-            (gltf) => {
-                gltf.scene.scale.set(0.025, 0.025, 0.025);
-                scene.add(gltf.scene);
-                worldOctree.fromGraphNode(gltf.scene);
-            },
-            function (xhr) {
-                console.log((xhr.loaded / xhr.total) * 100 + "% loaded");
-            },
-            // called when loading has errors
-            function (error) {
-                console.log("An error happened", error);
-            }
-        );
-
-        function teleportPlayerIfOob() {
-            if (camera.position.y <= -25) {
-                playerCollider.start.set(0, 0.35, 0);
-                playerCollider.end.set(0, 1, 0);
-                playerCollider.radius = 0.35;
-                camera.position.copy(playerCollider.end);
-                camera.rotation.set(0, 0, 0);
-            }
-        }
-
-        function animate() {
-            const deltaTime = Math.min(0.05, clock.getDelta()) / STEPS_PER_FRAME;
 
-            // we look for collisions in substeps to mitigate the risk of
-            // an object traversing another too quickly for detection.
+        <div class="welcome-statement">感谢各位给 H5.Examples 点⭐⭐~</div>
 
-            for (let i = 0; i < STEPS_PER_FRAME; i++) {
-                controls(deltaTime);
+        <a class="join-us" href="https://github.com/linyisonger/H5.Examples">
+            加入我们
+        </a>
 
-                updatePlayer(deltaTime);
 
-                teleportPlayerIfOob();
-            }
+        <img class="bgm-controller" src="./assets/dance/bgm-c.png">
 
-            renderer.render(scene, camera);
+    </div>
+    <script type="module">
+        /**
+         * 加载图
+         * @param {string} src
+         * @returns {Promise<HTMLImageElement>}
+         */
+        function loadImage(src) {
+            return new Promise((resolve) => {
+                let image = new Image()
+                image.src = src;
+                image.onload = (ev) => {
+                    resolve(image)
+                }
+            })
+        }
 
-            requestAnimationFrame(animate);
+        /**
+         * 加载音乐
+         * @param {string} src
+         * @returns {Promise<HTMLImageElement>}
+         */
+        function loadAudio(src) {
+            return new Promise((resolve) => {
+                let audio = new Audio(src)
+                audio.addEventListener("loadeddata", resolve)
+            })
         }
 
         /**
@@ -273,6 +132,8 @@
             return await getAllStargazers(page + 1, users)
         }
 
+
+
         // getAllStargazers().then((res) => {
         //     console.log("获取star的用户", res);
         // })
@@ -427,7 +288,98 @@
             }
         ]
 
-        // 3D Three 2D Avatar 贴图
+
+        let bgmControllerDom = document.querySelector('.bgm-controller')
+        bgmControllerDom.addEventListener("click", () => {
+            const bgm = document.body.querySelector('.bgm')
+            bgm.muted = !bgm.muted;
+            bgmControllerDom.setAttribute('src', bgm.muted ? './assets/dance/bgm-c.png' : './assets/dance/bgm-o.png')
+        })
+
+        // 2D火柴人 贴图
+
+        function fetchLoad(url) {
+            return new Promise((resolve) => {
+                fetch(url).then((response) => response.json()).then(resolve)
+            })
+        }
+
+        async function initGame() {
+            dancers = await getAllStargazers()
+            let dance = await fetchLoad("./assets/dance/kemusan.json")
+            const DROP_FRAME = 5 // 抽帧
+            const ZOOM_OUT = .5
+            // 检查动作信息
+            // for (let i = 0; i < dance.frames.length; i++) {
+            //     console.log(i);
+            //     const frame = dance.frames[i];
+            //     const img = document.createElement('img')
+            //     img.src = frame.url;
+            //     document.body.appendChild(img)
+            // }
+
+            let danceCvsList = []
+            for (let i = 0; i < dancers.length; i++) {
+                const dancer = dancers[i];
+                let danceCvs = await createCanvas(dancer)
+                danceCvsList.push({
+                    dancer,
+                    cvs: danceCvs
+                })
+            }
+
+
+            let i = 0
+            async function animationFrame() {
+                if (i % DROP_FRAME == 0) {
+                    for (let j = 0; j < danceCvsList.length; j++) {
+                        const { cvs, dancer } = danceCvsList[j];
+                        await drawFrame(cvs, dance.frames[(i / DROP_FRAME) % dance.frames.length], dancer.avatar_url)
+                    }
+                }
+                requestAnimationFrame(animationFrame)
+                i++;
+            }
+            await animationFrame()
+
+            document.body.querySelector('.bgm').play()
+            document.body.querySelector('.bgm').loop = true;
+            /**
+             * 创建一个用户
+             * @author 	 linyisonger
+             * @date 	 2025-02-23
+             */
+            function createCanvas(dancer) {
+                let avatarUrl = dancer.avatar_url
+                let cvs = document.createElement("canvas")
+                cvs.setAttribute('width', dance.width)
+                cvs.setAttribute('height', dance.height)
+                cvs.width = dance.width * ZOOM_OUT;
+                cvs.height = dance.height * ZOOM_OUT;
+                document.body.querySelector("#container").appendChild(cvs)
+                return cvs
+            }
+            /**
+             * 渲染一帧
+             * @author 	 linyisonger
+             * @date 	 2025-02-23
+             */
+            async function drawFrame(cvs, frame, avatar) {
+                /** @type {CanvasRenderingContext2D } */
+                let ctx = cvs.getContext('2d')
+                let roleImg = await loadImage(frame.url)
+                let avatarImg = await loadImage(avatar)
+                ctx.clearRect(0, 0, cvs.width, cvs.height)
+                ctx.drawImage(roleImg, 0, 0, cvs.width, cvs.height)
+                let avatarWidth = 40 * ZOOM_OUT
+                ctx.drawImage(avatarImg, (frame.avatar.x * ZOOM_OUT - avatarWidth / 2), (frame.avatar.y * ZOOM_OUT - avatarWidth / 2), avatarWidth, avatarWidth)
+            }
+        }
+
+        initGame()
+
+
+
 
 
 
diff --git "a/090.\347\201\253\346\237\264\344\272\272\347\224\237\346\210\220\345\231\250.html" "b/090.\347\201\253\346\237\264\344\272\272\347\224\237\346\210\220\345\231\250.html"
new file mode 100644
index 0000000..0ba37b0
--- /dev/null
+++ "b/090.\347\201\253\346\237\264\344\272\272\347\224\237\346\210\220\345\231\250.html"
@@ -0,0 +1,309 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta http-equiv="X-UA-Compatible" content="IE=edge">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <link rel="stylesheet" href="./assets/global.css">
+
+    <style>
+        .upload-image {
+            display: flex;
+        }
+
+        .upload-image>div {
+            width: 200px;
+        }
+
+        .upload-image img {
+            width: 100%;
+        }
+
+        .upload-video {
+            display: flex;
+        }
+
+        .upload-video .origin {
+            width: 200px;
+        }
+    </style>
+</head>
+
+<body>
+    <script src="https://unpkg.com/@tensorflow/tfjs"></script>
+    <script src="https://unpkg.com/@tensorflow-models/posenet"></script>
+
+    <h1>上传图片生成单个火柴人动作</h1>
+
+    <button class="upload-image-btn">上传图片</button>
+    <div class="upload-image">
+        <div class="origin">
+            <h6>原图</h6>
+            <img class="upload-img">
+        </div>
+        <div class="preview">
+            <h6>预览</h6>
+            <canvas class="preview-cvs">
+        </div>
+    </div>
+
+    <h1>上传视频生成火柴人序列帧</h1>
+
+    <button class="upload-video-btn">上传视频(mp4)</button>
+    <div class="upload-video">
+        <div class="origin">
+            <h6>原图</h6>
+            <canvas class="capture-cvs"></canvas>
+        </div>
+        <div class="preview">
+            <h6>预览</h6>
+            <canvas class="preview-cvs">
+        </div>
+        <div class="output">
+            <h6>输出</h6>
+            <textarea class="output-text" cols="60" rows="10"></textarea>
+            <button class="export-btn">导出</button>
+
+        </div>
+    </div>
+
+
+    <script type="module">
+        import { aspectFit } from "https://gcore.jsdelivr.net/npm/@3r/tool/lib/picture.js";
+
+
+        const DROP_FRAME = 5 // 抽帧
+
+
+        document.querySelector('.upload-image-btn').addEventListener("click", uploadImg)
+        document.querySelector('.upload-video-btn').addEventListener("click", uploadMp4)
+        document.querySelector('.export-btn').addEventListener("click", exportBtn)
+        /**
+         * 加载图
+         * @param {string} src
+         * @returns {Promise<HTMLImageElement>}
+         */
+        function loadImage(src) {
+            return new Promise((resolve) => {
+                let image = new Image()
+                image.src = src;
+                image.onload = (ev) => {
+                    resolve(image)
+                }
+            })
+        }
+
+        /**
+         * 上传图片
+         */
+        function uploadImg() {
+            const fileInput = document.createElement('input');
+            fileInput.setAttribute('type', 'file');
+            fileInput.setAttribute('accept', '*');
+            fileInput.addEventListener('change', async () => {
+                const file = fileInput.files[0];
+                const url = URL.createObjectURL(file)
+                let imageDom = document.querySelector('.upload-image .origin .upload-img')
+                let imageCvs = document.querySelector('.upload-image .preview .preview-cvs')
+                imageDom.src = url
+                await fitCanvas(imageCvs, imageDom)
+                drawStickFigure(imageCvs, imageDom)
+            })
+            fileInput.click()
+        }
+
+        /**
+         * 上传视频
+         */
+        function uploadMp4() {
+            const fileInput = document.createElement('input');
+            fileInput.setAttribute('type', 'file');
+            fileInput.setAttribute('accept', '*');
+            fileInput.addEventListener('change', () => {
+                const file = fileInput.files[0];
+                const url = URL.createObjectURL(file)
+                let videoDom = document.createElement('video')
+                // videoDom.muted = true
+                videoDom.src = url
+                videoDom.setAttribute('preload', 'auto')
+                videoDom.addEventListener('loadedmetadata', _ => {
+                    videoDom.play();
+                })
+
+                let keyframes = []
+
+                videoDom.addEventListener("play", (e) => {
+                    let cvs = document.querySelector('.upload-video .origin .capture-cvs')
+                    fitCanvas(cvs, videoDom)
+                    let i = 0
+                    function drawFrameImg() {
+                        if (videoDom.paused) return;
+                        if (i % DROP_FRAME == 0) {
+                            /** @type {CanvasRenderingContext2D } */
+                            let ctx = cvs.getContext('2d')
+                            ctx.drawImage(videoDom, 0, 0, cvs.width, cvs.height);
+                            const url = cvs.toDataURL('image/png');
+                            keyframes.push({ url })
+                        }
+                        requestAnimationFrame(drawFrameImg)
+                        i++;
+                    }
+                    drawFrameImg()
+                })
+                videoDom.style.opacity = 0;
+                videoDom.style.position = 'absolute'
+                document.body.appendChild(videoDom)
+
+                videoDom.addEventListener("ended", async e => {
+                    // 将缓存的图片 整合成序列帧json输出
+                    let cvs = document.querySelector('.upload-video .preview .preview-cvs')
+                    let txt = document.querySelector('.upload-video .output .output-text')
+                    let imageDom = document.querySelector('.upload-image .origin .upload-img')
+
+                    let frames = []
+                    for (let i = 0; i < keyframes.length; i++) {
+                        const { url } = keyframes[i];
+                        imageDom.src = url
+                        await fitCanvas(cvs, imageDom)
+                        frames.push(await drawStickFigure(cvs, imageDom))
+                    }
+
+                    let output = {
+                        width: imageDom.clientWidth,
+                        height: imageDom.clientHeight,
+                        frames
+                    }
+
+                    txt.textContent = JSON.stringify(output)
+
+
+                })
+            })
+            fileInput.click()
+        }
+
+
+        function exportBtn() {
+            let txt = document.querySelector('.upload-video .output .output-text')
+            if (!txt.textContent) {
+                alert('没有内容导出')
+                return;
+            }
+            let a = document.createElement('a');
+            a.href = window.URL.createObjectURL(new Blob([txt.textContent], { type: 'text/plain;charset=utf-8' }));
+            a.setAttribute('download', 'dance.json');
+            a.click();
+        }
+        /**
+         * 获取骨骼信息
+         * @author 	 linyisonger
+         * @date 	 2025-02-23
+         */
+        async function getPose(dom) {
+            const imageScaleFactor = 0.50;
+            const flipHorizontal = false;
+            const outputStride = 16;
+            // load the posenet model
+            const net = await posenet.load();
+            const pose = await net.estimateSinglePose(dom, imageScaleFactor, flipHorizontal, outputStride);
+            return pose
+        }
+
+
+        /**
+         * 自适应画布
+         * @author 	 linyisonger
+         * @date 	 2025-02-23
+         */
+        async function fitCanvas(cvs, dom) {
+            let image = dom.nodeName == 'VIDEO' ? dom : await loadImage(dom.src)
+            let imageWidth = dom.nodeName == 'VIDEO' ? dom.videoWidth : image.width
+            let imageHeight = dom.nodeName == 'VIDEO' ? dom.videoHeight : image.height
+            let fit = await aspectFit(imageWidth, imageHeight, Math.min(dom.clientWidth, 200), dom.clientHeight)
+            console.log(cvs);
+            cvs.setAttribute('width', fit.width)
+            cvs.setAttribute('height', fit.height)
+            /** @type {CanvasRenderingContext2D } */
+            let ctx = cvs.getContext('2d')
+            let width = fit.width;
+            let height = fit.height;
+            cvs.width = width;
+            cvs.height = height;
+
+            return {
+                width,
+                height
+            }
+        }
+
+        /**
+         * 渲染火柴人
+         * @author 	 linyisonger
+         * @date 	 2025-02-23
+         * 
+         * @param {HTMLImageElement} dom
+         */
+        async function drawStickFigure(cvs, dom) {
+            let pose = await getPose(dom)
+            /** @type {CanvasRenderingContext2D } */
+            let ctx = cvs.getContext('2d')
+            /**
+             * 连接骨骼
+             * @author 	 linyisonger
+             * @date 	 2025-02-23
+             * @param {string[]} nodeNames
+             */
+            function connection(nodeNames, type = 'stroke') {
+                let nodes = nodeNames.map(n => pose.keypoints.find(p => p.part == n))
+                ctx.beginPath();
+                ctx.moveTo(nodes[0].position.x, nodes[0].position.y)
+                for (let i = 1; i < nodes.length; i++) ctx.lineTo(nodes[i].position.x, nodes[i].position.y)
+                ctx[type]()
+                ctx.closePath()
+            }
+            let nose = pose.keypoints.find(p => p.part == "nose")
+            let leftEar = pose.keypoints.find(p => p.part == "leftEar")
+            let rightEar = pose.keypoints.find(p => p.part == "rightEar")
+            let leftShoulder = pose.keypoints.find(p => p.part == "leftShoulder")
+            let rightShoulder = pose.keypoints.find(p => p.part == "rightShoulder")
+            let leftHip = pose.keypoints.find(p => p.part == "leftHip")
+            let rightHip = pose.keypoints.find(p => p.part == "rightHip")
+            let headWidth = Math.abs(leftEar.position.x - rightEar.position.x)
+            let neck = {
+                x: (leftShoulder.position.x + rightShoulder.position.x) / 2,
+                y: (leftShoulder.position.y + rightShoulder.position.y) / 2
+            }
+            let hip = {
+                x: (leftHip.position.x + rightHip.position.x) / 2,
+                y: (leftHip.position.y + rightHip.position.y) / 2
+            }
+            ctx.strokeStyle = "black";
+            ctx.lineWidth = 10;
+            ctx.beginPath();
+            ctx.arc(nose.position.x, nose.position.y, headWidth, 0, 2 * Math.PI);
+            ctx.fill()
+            ctx.lineJoin = "round"
+            ctx.lineCap = "round"
+            connection(['rightWrist', 'rightElbow', 'rightShoulder', 'leftShoulder', 'leftElbow', 'leftWrist'])
+            connection(['leftAnkle', 'leftKnee', 'leftHip', 'rightHip', 'rightKnee', 'rightAnkle'])
+            ctx.beginPath();
+            ctx.moveTo(neck.x, neck.y)
+            ctx.lineTo(hip.x, hip.y)
+            ctx.closePath()
+            ctx.stroke()
+
+            return {
+                url: cvs.toDataURL('image/png'),
+                avatar: {
+                    x: nose.position.x,
+                    y: nose.position.y,
+                    r: headWidth
+                }
+            }
+        }
+
+    </script>
+</body>
+
+</html>
\ No newline at end of file
diff --git a/assets/dance/bgm-c.png b/assets/dance/bgm-c.png
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diff --git a/assets/dance/kemusan.json b/assets/dance/kemusan.json
new file mode 100644
index 0000000..54e1968
--- /dev/null
+++ b/assets/dance/kemusan.json
@@ -0,0 +1,2126 @@
+{
+    "width": 200,
+    "height": 355,
+    "frames": [
+        {
+            "url": 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+                "y": 103.50948511858394,
+                "r": 23.923391616761933
+            }
+        },
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",
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",
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",
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",
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",
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",
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",
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9FpFgbRddg0EoPouFdOszCIrsOmkRgkhludZkW/ME41X7TdWHVEM8Wa7APqYjo6zcIgk8KsSmcEiZGNbBhGbslikJgOm0VjkDjqFdMs1Xg8ixXXayoDg8TxqQvqyDQLg8R12CQDg3iY1VEkMs1SP62IZp5mVhawLWxtxZ4IBvG0WJqFQTy8kWmW+uiJapDoJqRXIVkvBDCI3xHUaZb6eIjaHgbxNQtnYpAwsreE7GkWBvG1WJaJQXy06t5FP4IyzcIgvhbLMjHIHFq1UyuPiKifeXc+0jtXZeFsDDInfuajJxhkTosl2RhkDmvmNEtd0yjTtbmqyH4jgEHmO0PWNAuDzGuR3gIGmUeaNc3CIPNapLeAQeaRqs9R9SPde/RENUjk8ZX56oq3gEFyOoC6wL73NK46EmGQHM2kVjCIhGkYFHn05NZOuGoQdWd+eNIEjAlgkDEjNUJdrN/q4KrJMIiqSEIcBkmA+NqEuobo4ddGEQySp0VaSxgkDWVTO3g/4rW9DDVf2ZXPq6p4SxgktwPMTLPUTUcMkqvZ3dYwSC7smWkWBsnVIqU1DJKC8a0RtZNfm2apuXxxQ65mjCAb8uyHUqdZl1MldcMRg2woKCNIPmx1P+PybhYGyddiukUMMo3wXQPqVKknXu6Kq59LR7d83a62COg1oN1pFgZZo4fdKgax0d1NdKdZqrH44oY1ur1rFYOsAd3XE/0Bxv7n6HU+zcIgI1obv49B1gF3nvDFIOv0sFrGIBY2KUl9dKQ3dvoiBtVUfHGDJMF8EAaZZ3ivBXVEOD2hi0HW6hFuHYOEkYUSoo+e9Ph+m3j0YgQZEUp6H4MkgbzRTGRPpD/h+7G1l6eCRy++2WREKOl9DJIE8k4zkWlWbwaDrNdEPgIGkVHZgZFpVn8+S5liMYLYcsQSMUiMlxMdmWb1BxGjeyfOOZEjEsAgIqjJMHWapR6GbzZRSU3GYZBJgGK6+ugJUywR6FZhGGQb0uo0q48MfZE+mmah2za68QtTG3HuhxmNIqcPQo3imF5tKBpXou1gjx5gPN/86ya5NpJgju30ejkSBtkYeGsvv5Dbp1ynaVR/zOSH1lpff5y/+vs97kNr7dPr+32U4bUhAQyyIewrBqDD78dfOjIGkTARVJUABqmqPHVLBDCIhImgqgQwSFXlqVsigEEkTARVJYBBqipP3RIBDCJhIqgqAQxSVXnqlghgEAkTQVUJYJCqylO3RACDSJgIqkoAg1RVnrolAhhEwkRQVQIYpKry1C0RwCASJoKqEsAgVZWnbokABpEwEVSVAAapqjx1SwQwiISJoKoEMEhV5albIoBBJEwEVSWAQaoqT90SAQwiYSKoKgEMUlV56pYIYBAJE0FVCWCQqspTt0QAg0iYCKpKAINUVZ66JQIYRMJEUFUCGKSq8tQtEcAgEiaCqhLAIFWVp26JAAaRMBFUlQAGqao8dUsEMIiEiaCqBDBIVeWpWyKAQSRMBFUlgEGqKk/dEgEMImEiqCoBDFJVeeqWCGAQCRNBVQlgkKrKU7dEAINImAiqSgCDVFWeuiUCGETCRFBVAhikqvLULRHAIBImgqoSwCBVladuiQAGkTARVJUABqmqPHVLBDCIhImgqgT+DyQe9oLwhJvvAAAAAElFTkSuQmCC",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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hT2W5tTtIwgx2FQE/WRecjM12emWMw9BoEgx1TVayEj8xD1DmN2JxuagiDnMGe73US9PjPqNagNl+G8TSHIeWzUPGTUM+nqDZSjxjPvqm44MgQ5hzlTHmLJP0a9xK7hMpy3KQQ5j81MeQj5R5BDCHINfpY8hPwDQYIIXHc7Sx5C/hG0PDiCXIOfIQ8h/wiSg/3yMnjLuX+v204sY+ALrxxTUwmAlnGpp1m9do/IP8ox6lYCQcpoVUF6XX8g/yjHqFsJBCmjjcxDyD/K8elaAkHKeC05QOs8xNI3sSzH0lwCqBoy9TSr9e3v5B9afLqVQhANrZoHtH4Vqdpvr/xHo3PjUgiiBVf9Jm/9fMgsV/I1SjcshSBaUC25QKs8xJKgE0ctjuZSgNWRjc5D1KMWz3/oMTSXRBAdmZoPtMpD1P7IP/QYmksiiI5M/UZvlYeQf+ix6VYSQXS0I/MQ8g89Ll1LIogN76g8RD1akX/Y4mcujSA2ZGpeUJuHqP2Qf9jiZy6NIDZk6jd7bR5C/mGLS7fSCGJDOyIPIf+wxaRraQSx4+2dh6hHKfIPe+zMNRDEjCypt7978xDyD3tMutVAEDta9XVA3jyE/MMek241EMSOtmceQv5hj0fXGgjiw9srDyH/8MWjWy0E8aHtlYeQf/ji0a0WgvjQqnlIbt3CmPzDF49utSzB6zaIBRvukYeQf0y4EBDEH5TWeQj5hz8W3WoiiB9t6zyE/MMfi241EcSPtnUeQv7hj0W3mgjiR9syDyH/8Meha00EqcPbKg8h/6iLQ7faCFKHtlUeQv5RF4dutRGkDm2rPIT8oy4O3WojSB3aFnkI+UddDLrWRpB6vLV5CPlHfQy6tYAg9WjVPOTs+XFVEJ4/r4+VuQUEMSN7V0HNQ2oF6fULVvUEbtwCgrQJrnKadfbOXiWP4fHaNnEyt4IgZmSHFUqnSaWnC0unaZxetYmTuRUEMSM7rXAmSUmOZ4Nn10Ja/yhPuxlv0BKCtA1yPl361UuT36WUsiDqJ9f/kFLKW78fH3Xz6RWfIAIIEgSebtcggCBrxIlRBhFAkCDwdLsGAQRZI06MMogAggSBp9s1CCDIGnFilEEEECQIPN2uQQBB1ogTowwigCBB4Ol2DQIIskacGGUQAQQJAk+3axBAkDXixCiDCCBIEHi6XYMAgqwRJ0YZRABBgsDT7RoEEGSNODHKIAIIEgSebtcggCBrxIlRBhFAkCDwdLsGAQRZI06MMogAggSBp9s1CCDIGnFilEEEECQIPN2uQQBB1ogTowwigCBB4Ol2DQIIskacGGUQAQQJAk+3axBAkDXixCiDCCBIEHi6XYMAgqwRJ0YZRABBgsDT7RoEEGSNODHKIAIIEgSebtcggCBrxIlRBhFAkCDwdLsGAQRZI06MMogAggSBp9s1CCDIGnFilEEEECQIPN2uQQBB1ogTowwigCBB4Ol2DQIIskacGGUQAQQJAk+3axBAkDXixCiDCCBIEHi6XYPAfwA/3e2CaBWJAQAAAABJRU5ErkJggg==",
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",
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",
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dWDMLO8sth/2FzLXkyQ6N3q6kHI8oqHFZdQZdXLqCyvEGQJQaIDsfIqEcurJ0ODTXq9M1FBKnPD8gpB6k14UGP0TF19GTUqbfWFg+lJqzxLTe/sAg1YUZBomxq+6gsH01OGILUpiH5rr/L9UyyvXowBBKkVZMXnsFheIUitBS9qi56tq9b6LK9OhgYzSK07qwkSbU/1RYParDCDLMM7+phJ1Xe+WV4xgywjR2vISo+ZsLwKDA2WWAFIHYus9JgJy6tAYhEkAKljkeiSpiIv0bZUXTDoiLnfoSoS0a+1732kzJJmdF4ybbG7OXgcZqMT8d5Dum/ro4Oy4ooRy6tgbhEkCKpDsehd9ApBWF4FE4ogQVAdikXvoo9+zCQ6k7UuWy+vGgAE6TDyg4eILmtGv+4n2o6KmSyIbl4xBKljHx2Yo68asbxK5BxBErAuFo3eRR8pSHQfxPLqlmwEuTjqE+HRu+gjHzOJzmIsrxAkMbT7FI0KMnJjzPIqmUtmkCSwC8Wjj5mMelkDyysheQgiQBNDomfvUTlheSUkblQyhKZ80SGZew+jchIVdORFgrdL8qhkvB2IwQ2OCjJqc8zySkwwgojgkmHRATrqLjrLq2TC9uIIIoJLhkUfMxl1F53lVTJhCCICE8OiZ/AR6//o7MXNwQfJZQYRR3wybKYg0bpH7X+SqNYqjiA1+Zj5mAnLqws5RpAL8BKhs+6is7xKJOlRUQS5CDAYHr2L3vsxE5ZXwQQ9K4YgFwEGw6OC9H7MJDpzjbg4EESzdjEEqclPZKCO2CRH9z69Z64aqgW1IEgB5G3bIkudEWfxyP2XEWLWUC2oBUEKIN+qeLXMGjlIz5Z3zB4vxgCC1AnSnsdqS6325/HT5GhfkmqPmYz4tPraUqtd0br/IMcJcQQZMSRfH7MN1G9uRb7ftq09XlLx2ettwnx3E7LJyYcZhDEAAY0AM4jGjSgTAghikmi6qRFAEI0bUSYEEMQk0XRTI4AgGjeiTAggiEmi6aZGAEE0bkSZEEAQk0TTTY0AgmjciDIhgCAmiaabGgEE0bgRZUIAQUwSTTc1AgiicSPKhACCmCSabmoEEETjRpQJAQQxSTTd1AggiMaNKBMCCGKSaLqpEUAQjRtRJgQQxCTRdFMjgCAaN6JMCCCISaLppkYAQTRuRJkQQBCTRNNNjQCCaNyIMiGAICaJppsaAQTRuBFlQgBBTBJNNzUCCKJxI8qEAIKYJJpuagQQRONGlAkBBDFJNN3UCCCIxo0oEwIIYpJouqkRQBCNG1EmBBDEJNF0UyOAIBo3okwIIIhJoummRgBBNG5EmRBAEJNE002NAIJo3IgyIYAgJommmxoBBNG4EWVCAEFMEk03NQIIonEjyoQAgpgkmm5qBBBE40aUCQEEMUk03dQIIIjGjSgTAghikmi6qRFAEI0bUSYEEMQk0XRTI4AgGjeiTAggiEmi6aZG4L9XzgiRtvVQfwAAAABJRU5ErkJggg==",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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lwjmjUPQZDdpZxTAEGuuc6ah6jjGvlAZc4KHdwqglwHYNY8BEEGiYIg1+BnzUMQBEEGEfjY7Yx5CIIMWh5cQT6CVxfjmc9lqWMiBwkWCUE+Ap0xD0GQ4IWvNocgH0nNmIcgiLqig8shyG2gs+UhCBK88NXmEOQ2KXVBnpWHqOMhB1FXvlgOQW6Dmi0PQRBxQUcXQ5DbRGfLQxAkeuWL7SHIfVAz5SEIIi7o6GIIcp+ouijPyEPUsZCDBBuCIPeBzpSHIEjwwlebQ5D7pGbKQxBEXdHB5RDkMdBZ8hAECV74anMI8piUujCz8xB+Blpd0cHlEOQx0FnyEAQJXvhqcwjymNQseQiCqCs6uByC7AOdIQ9BkP04pZRAkH2sM+QhCLIfp5QSCLKPdYY8BEH245RSAkH2sc6QhyDIfpxSSiCIhnV0HoIgWpzCSyGIhnR0HoIgWpzCSyGIhlTNQ364/Fy01qpeCkF0VqElEUTDOToPQRAtTuGlEERHOjIPQRA9TqElEUTHOTIPQRA9TqElEUTHqeYh37XWvtCblUoiiIQpvhCC6ExH5iEIoscptCSC9OEclYcgSF+cwkojSB/KUXkIgvTFKaw0gvShHJWHqFeuz1prdi+GVxABBOkDOSoPQZC+OIWVRpB+lOpijfwKHrVPriD98XxYA0H6gY7IQxCkP04hNRCkH+OIPARB+uMUUgNB+jGOyEMQpD9OITUQxIdRXbBReYjaHzmIL553ayGID+jZeQiC+OJ0uBaC+BCenYcgiC9Oh2shiA+hmodEfYBKFYR4+uLJFiuYmzWnLNqvWmtfB/StbOmiZAwY7vM0wTuOP5ZfttZMgEevqKRZ2dJFyegn8oQ1EeRYUB+9s0cv2Ed9cfU4Fke2WEn8rFlbuJaTfHrpwxarbavsG9+jX3bVsqvJ1pe1n/3N8tFzWKo9riBx4XorSFyrt1syIU1EntxNJo0gyYBpfm0CCLJ2/Bh9MgEESQZM82sTQJC148fokwkgSDJgml+bAIKsHT9Gn0wAQZIB0/zaBBBk7fgx+mQCCJIMmObXJoAga8eP0ScTQJBkwDS/NgEEWTt+jD6ZAIIkA6b5tQkgyNrxY/TJBBAkGTDNr00AQdaOH6NPJoAgyYBpfm0CCLJ2/Bh9MgEESQZM82sTQJC148fokwkgSDJgml+bAIKsHT9Gn0wAQZIB0/zaBBBk7fgx+mQCCJIMmObXJoAga8eP0ScTQJBkwDS/NgEEWTt+jD6ZAIIkA6b5tQkgyNrxY/TJBBAkGTDNr00AQdaOH6NPJoAgyYBpfm0CCLJ2/Bh9MgEESQZM82sTQJC148fokwkgSDJgml+bAIKsHT9Gn0wAQZIB0/zaBBBk7fgx+mQCCJIMmObXJoAga8eP0ScTQJBkwDS/NgEEWTt+jD6ZAIIkA6b5tQn8F1Nm4YJOcRAQAAAAAElFTkSuQmCC",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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+}
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diff --git a/assets/dance/kemusan.mp4 b/assets/dance/kemusan.mp4
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diff --git a/examples.txt b/examples.txt
index 90271bb..0546628 100644
--- a/examples.txt
+++ b/examples.txt
@@ -86,5 +86,7 @@
 086.扫雷.html
 087.新建窗口大小.html
 088.乌龟对对碰.html
+089.看星星的舞者.html
+090.火柴人生成器.html
 blog.html
 index.html
