README.md

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-# 手语翻译软件
-
-### mediapipe_hands
-
-![](https://mediapipe.dev/images/mobile/hand_tracking_3d_android_gpu.gif)
-
-通过使用mediapipe来获取手部结点信息，具体信息如下：
-
-![](https://mediapipe.dev/images/mobile/hand_landmarks.png)
-
-每个手分为21个结点，每个结点右分x,y,z三个坐标值；由于再android手机上z值很小，并无意义，故而不考虑z轴数据。下图为不同手势效果展示
-
-![](https://mediapipe.dev/images/mobile/hand_crops.png)
-
-### 具体使用方法：
-
-#### 手语翻译：
-
-进入手语翻译界面，通过摄像头捕获手势，翻译为文字,可点击DESTROY清除。
-
-![](./image/img1.png)
-
-#### 动画生成：
-
-通过输入文字，生成对应动画。
-
-![](./image/img2.png)

model/a.txt

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+iiii

src/mycode/main1.js

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-import * as THREE from 'three';
-import {OrbitControls} from 'three/addons/controls/OrbitControls.js';
-//定义全局变量
-var geometry = new THREE.BoxGeometry( 1, 1, 1 );
-var material = new THREE.MeshBasicMaterial( {color: 0x00ff00} );
-var material1 = new THREE.MeshBasicMaterial({color:0x800080})
-var progress = 0;
-var velocity = 0.001;
-var a = [new THREE.Vector3(10,10,0),
-    new THREE.Vector3(10,0,2),
-    new THREE.Vector3(0,15,20)];
-var curve;
-var scene ;
-var camera ;
-var renderer;
-var controls ;
-var hands=[Lhand,Rhand];
-var Lhand = [Lcube,Lcube1,Lcube2,Lcube3,Lcube4,Lcube5,Lcube6,Lcube7,Lcube8,Lcube9,Lcube10,Lcube11,Lcube12,Lcube13,Lcube14,Lcube15,Lcube16,Lcube17,Lcube18,Lcube19,Lcube20];
-var Rhand = [Rcube,Rcube1,Rcube2,Rcube3,Rcube4,Rcube5,Rcube6,Rcube7,Rcube8,Rcube9,Rcube10,Rcube11,Rcube12,Rcube13,Rcube14,Rcube15,Rcube16,Rcube17,Rcube18,Rcube19,Rcube20];
-var Lcube = new THREE.Mesh( geometry, material );
-Lcube.position.set(-10,10,10);
-var Lcube1 = new THREE.Mesh( geometry, material );
-Lcube1.position.set(-5,10,0);
-var Lcube2 = new THREE.Mesh( geometry, material );
-Lcube2.position.set(0,10,0);
-var Lcube3 = new THREE.Mesh( geometry, material );
-Lcube3.position.set(5,10,0);
-var Lcube4 = new THREE.Mesh( geometry, material );
-Lcube4.position.set(10,10,0);
-
-var Lcube5 = new THREE.Mesh( geometry, material );
-Lcube5.position.set(5,10,3);
-var Lcube6 = new THREE.Mesh( geometry, material );
-Lcube6.position.set(10,10,3);
-var Lcube7 = new THREE.Mesh( geometry, material );
-Lcube7.position.set(15,10,3);
-var Lcube8 = new THREE.Mesh( geometry, material );
-Lcube8.position.set(20,10,3);
-
-var Lcube9 = new THREE.Mesh( geometry, material );
-Lcube9.position.set(5,10,6);
-var Lcube10 = new THREE.Mesh( geometry, material );
-Lcube10.position.set(10,10,6);
-var Lcube11 = new THREE.Mesh( geometry, material );
-Lcube11.position.set(15,10,6);
-var Lcube12 = new THREE.Mesh( geometry, material );
-Lcube12.position.set(20,10,6);
-
-var Lcube13 = new THREE.Mesh( geometry, material );
-Lcube13.position.set(5,10,9);
-var Lcube14 = new THREE.Mesh( geometry, material );
-Lcube14.position.set(10,10,9);
-var Lcube15 = new THREE.Mesh( geometry, material );
-Lcube15.position.set(15,10,9);
-var Lcube16 = new THREE.Mesh( geometry, material );
-Lcube16.position.set(20,10,9);
-
-var Lcube17 = new THREE.Mesh( geometry, material );
-Lcube17.position.set(5,10,12);
-var Lcube18 = new THREE.Mesh( geometry, material );
-Lcube18.position.set(10,10,12);
-var Lcube19 = new THREE.Mesh( geometry, material );
-Lcube19.position.set(15,10,12);
-var Lcube20 = new THREE.Mesh( geometry, material );
-Lcube20.position.set(20,10,12);
-
-var Rcube = new THREE.Mesh( geometry, material );
-Rcube.position.set(-10,0,10);
-var Rcube1 = new THREE.Mesh( geometry, material );
-Rcube1.position.set(-5,0,0);
-var Rcube2 = new THREE.Mesh( geometry, material );
-Rcube2.position.set(0,0,0);
-var Rcube3 = new THREE.Mesh( geometry, material );
-Rcube3.position.set(5,0,0);
-var Rcube4 = new THREE.Mesh( geometry, material );
-Rcube4.position.set(10,0,0);
-
-var Rcube5 = new THREE.Mesh( geometry, material );
-Rcube5.position.set(5,0,3);
-var Rcube6 = new THREE.Mesh( geometry, material );
-Rcube6.position.set(10,0,3);
-var Rcube7 = new THREE.Mesh( geometry, material );
-Rcube7.position.set(15,0,3);
-var Rcube8 = new THREE.Mesh( geometry, material );
-Rcube8.position.set(20,0,3);
-
-var Rcube9 = new THREE.Mesh( geometry, material );
-Rcube9.position.set(5,0,6);
-var Rcube10 = new THREE.Mesh( geometry, material );
-Rcube10.position.set(10,0,6);
-var Rcube11 = new THREE.Mesh( geometry, material );
-Rcube11.position.set(15,0,6);
-var Rcube12 = new THREE.Mesh( geometry, material );
-Rcube12.position.set(20,0,6);
-
-var Rcube13 = new THREE.Mesh( geometry, material );
-Rcube13.position.set(5,0,9);
-var Rcube14 = new THREE.Mesh( geometry, material );
-Rcube14.position.set(10,0,9);
-var Rcube15 = new THREE.Mesh( geometry, material );
-Rcube15.position.set(15,0,9);
-var Rcube16 = new THREE.Mesh( geometry, material );
-Rcube16.position.set(20,0,9);
-
-var Rcube17 = new THREE.Mesh( geometry, material );
-Rcube17.position.set(5,0,12);
-var Rcube18 = new THREE.Mesh( geometry, material );
-Rcube18.position.set(10,0,12);
-var Rcube19 = new THREE.Mesh( geometry, material );
-Rcube19.position.set(15,0,12);
-var Rcube20 = new THREE.Mesh( geometry, material );
-Rcube20.position.set(20,0,12);
-
-init();
-finger(Lcube1,Lcube2,Lcube3,Lcube4);
-finger(Lcube5,Lcube6,Lcube7,Lcube8);
-finger(Lcube9,Lcube10,Lcube11,Lcube12);
-finger(Lcube13,Lcube14,Lcube15,Lcube16);
-finger(Lcube17,Lcube18,Lcube19,Lcube20);
-
-finger(Rcube1,Rcube2,Rcube3,Rcube4);
-finger(Rcube5,Rcube6,Rcube7,Rcube8);
-finger(Rcube9,Rcube10,Rcube11,Rcube12);
-finger(Rcube13,Rcube14,Rcube15,Rcube16);
-finger(Rcube17,Rcube18,Rcube19,Rcube20);
-link();
-makeCurve()
-animate();
-//-----------------------------------------------------
-
-function makeCurve(){
-    curve = new THREE.CatmullRomCurve3(a);
-    curve.curveType = "catmullrom";
-    curve.closed = false;//设置闭环
-    curve.tension = 0.7//设置弧度
-  
-  }
-  function moveOnCurve(){
-    if(curve==null){
-      console.log("Loading");
-    }
-    else{
-      if(progress<=1-velocity){
-        const point = curve.getPointAt(progress);
-        const pointBox = curve.getPointAt(progress+velocity);
-  
-        if(point && pointBox){
-          Lcube4.position.set(point.x,point.y,point.z);
-          finger(Lcube1,Lcube2,Lcube3,Lcube4);   
-        }
-        progress+=velocity;
-      }
-      else{
-        progress = 0;
-      }
-    }
-  }
-
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-//-----------------------------------------------------
-function init(){
-// 初始化场景
-scene = new THREE.Scene();
-//初始化相机
-camera = new THREE.PerspectiveCamera(60, window.innerWidth / window.innerHeight, 1, 1000);
-camera.position.set(30, 30, 30);//设置相机位置
-camera.lookAt(0,0,0); //设置相机方向(指向的场景对象)
-//初始化渲染器
-renderer = new THREE.WebGLRenderer({ antialias: true });
-renderer.setClearColor(0xb9d3ff, 1); //设置背景颜色
-renderer.setSize(window.innerWidth, window.innerHeight);
-
-renderer.shadowMapEnabled = true;//开启阴影，加上阴影渲染
-document.body.appendChild(renderer.domElement);//渲染到浏览器
-controls = new OrbitControls(camera, renderer.domElement);
-controls.update();
-}
-function link(){
-    scene.add(Lcube);
-    var points = [];
-    points.push( new THREE.Vector3( Lcube1.position.x,Lcube1.position.y,Lcube1.position.z ) );
-    points.push( new THREE.Vector3( Lcube.position.x,Lcube.position.y,Lcube.position.z ) );
-    points.push( new THREE.Vector3( Lcube5.position.x,Lcube5.position.y,Lcube5.position.z ) );
-    points.push( new THREE.Vector3( Lcube9.position.x,Lcube9.position.y,Lcube9.position.z ) );
-    points.push( new THREE.Vector3( Lcube13.position.x,Lcube13.position.y,Lcube13.position.z ) );
-    points.push( new THREE.Vector3( Lcube17.position.x,Lcube17.position.y,Lcube17.position.z ) );
-    points.push( new THREE.Vector3( Lcube.position.x,Lcube.position.y,Lcube.position.z ) );
-    var geometry1 = new THREE.BufferGeometry().setFromPoints( points );
-    var line1 = new THREE.Line( geometry1, material );
-    scene.add( line1 );
-
-    scene.add(Rcube);
-    var points = [];
-    points.push( new THREE.Vector3( Rcube1.position.x,Rcube1.position.y,Rcube1.position.z ) );
-    points.push( new THREE.Vector3( Rcube.position.x,Rcube.position.y,Rcube.position.z ) );
-    points.push( new THREE.Vector3( Rcube5.position.x,Rcube5.position.y,Rcube5.position.z ) );
-    points.push( new THREE.Vector3( Rcube9.position.x,Rcube9.position.y,Rcube9.position.z ) );
-    points.push( new THREE.Vector3( Rcube13.position.x,Rcube13.position.y,Rcube13.position.z ) );
-    points.push( new THREE.Vector3( Rcube17.position.x,Rcube17.position.y,Rcube17.position.z ) );
-    points.push( new THREE.Vector3( Rcube.position.x,Rcube.position.y,Rcube.position.z ) );
-    var geometry2 = new THREE.BufferGeometry().setFromPoints( points );
-    var line2 = new THREE.Line( geometry2, material1 );
-    scene.add( line2 );
-}
-
-function finger(value,value1,value2,value3){
-    scene.add( value );
-    scene.add( value1 );
-    scene.add( value2 );
-    scene.add( value3 );
-    
-    var points = [];
-    points.push( new THREE.Vector3( value.position.x,value.position.y,value.position.z ) );
-    points.push( new THREE.Vector3( value1.position.x,value1.position.y,value1.position.z ) );
-    points.push( new THREE.Vector3( value2.position.x,value2.position.y,value2.position.z ) );
-    points.push( new THREE.Vector3( value3.position.x,value3.position.y,value3.position.z ) );
-    var geometry1 = new THREE.BufferGeometry().setFromPoints( points );
-    var line = new THREE.Line( geometry1, material );
-    scene.add( line );
-    
-    }
-    function animate() {
-        requestAnimationFrame( animate );
-        moveOnCurve();
-        // required if controls.enableDamping or controls.autoRotate are set to true
-        controls.update();
-        renderer.render( scene, camera );
-        
-        }

src/mycode/main2_class2.js

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-import * as THREE from 'three';
-import { Line, Material } from 'three';
-import {OrbitControls} from 'three/addons/OrbitControls.js';
-
-//定义全局变量
-var geometry = new THREE.BoxGeometry(0.1,0.1,0.1);
-var Boxmaterial = new THREE.MeshBasicMaterial({color:0x00ff00});
-var Lmaterial = new THREE.MeshBasicMaterial({color:0x800080});
-var Rmaterial = new THREE.MeshBasicMaterial({color:0x800080});
-
-var velocity = 0.01;
-var progress;
-var scene;
-var camera;
-var renderer;
-var controls;
-var animateID;
-
-var Lcube = new THREE.Mesh( geometry, Boxmaterial );
-//Lcube.position.set(-10,10,10);
-var Lcube1 = new THREE.Mesh( geometry, Boxmaterial );
-//Lcube1.position.set(-5,10,0);
-var Lcube2 = new THREE.Mesh( geometry, Boxmaterial );
-//Lcube2.position.set(0,10,0);
-var Lcube3 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube3.position.set(5,10,0);
-var Lcube4 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube4.position.set(10,10,0);
-
-var Lcube5 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube5.position.set(5,10,3);
-var Lcube6 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube6.position.set(10,10,3);
-var Lcube7 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube7.position.set(15,10,3);
-var Lcube8 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube8.position.set(20,10,3);
-
-var Lcube9 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube9.position.set(5,10,6);
-var Lcube10 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube10.position.set(10,10,6);
-var Lcube11 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube11.position.set(15,10,6);
-var Lcube12 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube12.position.set(20,10,6);
-
-var Lcube13 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube13.position.set(5,10,9);
-var Lcube14 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube14.position.set(10,10,9);
-var Lcube15 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube15.position.set(15,10,9);
-var Lcube16 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube16.position.set(20,10,9);
-
-var Lcube17 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube17.position.set(5,10,12);
-var Lcube18 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube18.position.set(10,10,12);
-var Lcube19 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube19.position.set(15,10,12);
-var Lcube20 = new THREE.Mesh( geometry, Boxmaterial );
-Lcube20.position.set(20,10,12);
-
-var Rcube = new THREE.Mesh( geometry, Boxmaterial );
-Rcube.position.set(-10,0,10);
-var Rcube1 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube1.position.set(-5,0,0);
-var Rcube2 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube2.position.set(0,0,0);
-var Rcube3 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube3.position.set(5,0,0);
-var Rcube4 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube4.position.set(10,0,0);
-
-var Rcube5 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube5.position.set(5,0,3);
-var Rcube6 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube6.position.set(10,0,3);
-var Rcube7 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube7.position.set(15,0,3);
-var Rcube8 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube8.position.set(20,0,3);
-
-var Rcube9 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube9.position.set(5,0,6);
-var Rcube10 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube10.position.set(10,0,6);
-var Rcube11 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube11.position.set(15,0,6);
-var Rcube12 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube12.position.set(20,0,6);
-
-var Rcube13 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube13.position.set(5,0,9);
-var Rcube14 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube14.position.set(10,0,9);
-var Rcube15 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube15.position.set(15,0,9);
-var Rcube16 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube16.position.set(20,0,9);
-
-var Rcube17 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube17.position.set(5,0,12);
-var Rcube18 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube18.position.set(10,0,12);
-var Rcube19 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube19.position.set(15,0,12);
-var Rcube20 = new THREE.Mesh( geometry, Boxmaterial );
-Rcube20.position.set(20,0,12);
-
-
-var Lhand = [Lcube,Lcube1,Lcube2,Lcube3,Lcube4,Lcube5,Lcube6,Lcube7,Lcube8,Lcube9,Lcube10,Lcube11,Lcube12,Lcube13,Lcube14,Lcube15,Lcube16,Lcube17,Lcube18,Lcube19,Lcube20];
-var Rhand = [Rcube,Rcube1,Rcube2,Rcube3,Rcube4,Rcube5,Rcube6,Rcube7,Rcube8,Rcube9,Rcube10,Rcube11,Rcube12,Rcube13,Rcube14,Rcube15,Rcube16,Rcube17,Rcube18,Rcube19,Rcube20];
-var hands = [Lhand,Rhand];
-var Lline;
-var Rline;
-var values;
-var curves;
-var p;
-var Strings;
-//鼠标点击事件
-var oBtn = document.getElementById("btn");
-//var animateID = requestAnimationFrame(animate);
-//-------------------------------------------------
-function init(){
-
-    //初始化场景
-    scene = new THREE.Scene();
-    //初始化相机
-    camera = new THREE.PerspectiveCamera(60, window.innerWidth / window.innerHeight, 1, 1000);
-    camera.position.set(10, 15, 10);//设置相机位置
-    camera.lookAt(0,0,0); //设置相机方向(指向的场景对象)
-    //初始化渲染器
-    renderer = new THREE.WebGLRenderer({ antialias: true });
-    renderer.setClearColor(0xb9d3ff, 1); //设置背景颜色
-    renderer.setSize(950, 415);
-
-    renderer.shadowMapEnabled = true;//开启阴影，加上阴影渲染
-    document.getElementById("container").appendChild(renderer.domElement);//渲染到浏览器
-    controls = new OrbitControls(camera, renderer.domElement);
-    //controls.enableDamping = true;//阻尼
-    controls.update();
-}
-function add(){
-    for(let i = 0;i<21;i++){
-        scene.add(Lhand[i]);
-    }
-    for(let i = 0;i<21;i++){
-        scene.add(Rhand[i]);
-    }
-    let geometry = new THREE.BufferGeometry().setFromPoints([new THREE.Vector3(0,0,0)]);
-    let geometry1 = new THREE.BufferGeometry().setFromPoints([new THREE.Vector3(0,0,0)]);
-    Lline = new THREE.Line(geometry,Lmaterial);
-    Rline = new THREE.Line(geometry1,Rmaterial);
-    scene.add(Lline);
-    scene.add(Rline);
-    const axesHelper = new THREE.AxesHelper( 500 );
-    scene.add( axesHelper );
-
-}
-
-function animate(){
-    moveOnCurve();
-    //console.log(Lcube);
-    controls.update;
-    updateLine();
-    //获取屏幕宽度
-    var htmlWidth = document.documentElement.clientWidth;
-    var htmlHeight = document.documentElement.clientHeight;
-    //窗口自适应
-    if(htmlWidth>900&&htmlWidth<950&&htmlHeight<1200){
-        renderer.setSize(900, 415);
-
-    }
-    else if(htmlWidth>950&&htmlHeight>1200){
-        renderer.setSize(950, 1200);
-    }
-    else if(htmlWidth>850&&htmlWidth<900&&htmlHeight<1200){
-        renderer.setSize(850, 415);
-    }
-    else{
-        renderer.setSize(950, 415);
-    }
-    renderer.render(scene,camera);
-    animateID =  window.requestAnimationFrame(animate);
-    if(progress[0][0]>1-velocity&&p!=Strings.length){
-        progress = [[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]];
-        makeValue(Strings[p]);
-        makeCurve();
-        p++;
-    }
-
-};
-function makeValue(string){
-    values = [[[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[]]
-    ,[[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[]]];
-    var value = [[],[]];
-    string = string.split(',');
-    console.log(string.length);
-    for(let i = 0;i<2;i++){
-        for(let j = 0;j<string.length/2;j++){
-            value[i][j] = parseFloat(string[i*(string.length/2)+j])*10;
-        }
-    }
-    for(let k=0;k<value[0].length/63;k++){
-        for(let i=0;i<21;i++){
-                if(i==0){
-                    var x = value[0][0+i*3+k*63];
-                    var y = value[0][1+i*3+k*63];
-                    var z = 0.5;
-
-                }
-                else{
-                    var x = value[0][0+i*3+k*63];
-                    var y = value[0][1+i*3+k*63];
-                    var z = value[0][2+i*3+k*63];
-                }
-                values[0][i].push(new THREE.Vector3(x,y,z));
-            
-        }}
-    for(let k=0;k<value[1].length/63;k++){
-        for(let i=0;i<21;i++){
-                if(i==0){
-                    var x = value[1][0+i*3+k*63];
-                    var y = value[1][1+i*3+k*63];
-                    var z = 0.5;
-                }
-                else{
-                    var x = value[1][0+i*3+k*63];
-                    var y = value[1][1+i*3+k*63];
-                    var z = value[1][2+i*3+k*63];
-                }
-                values[1][i].push(new THREE.Vector3(x,y,z));
-            
-        }}
-}
-function makeCurve(){
-    curves = [[[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[]],[[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[]]];
-    for(let i = 0;i<2;i++){
-        for(let j=0;j<21;j++){
-            if(values[i][j].length!=0){
-                values[i][j].push(values[i][j][values[i][j].length-1]);
-                curves[i][j] = new THREE.CatmullRomCurve3(values[i][j]);
-            curves[i][j].curveType = "catmullrom";
-            curves[i][j].closed = false;
-            curves[i][j].tension = 0.7;
-            }
-        }
-    }
-}
-function moveOnCurve(){
-    let point;
-    let pointBox;
-    for(let i=0;i<2;i++){
-        for(let j=0;j<21;j++){
-            if(curves[i][j].length==0){
-                console.log("Loading");
-            }
-            else{
-                if(progress[i][j]<=1-velocity){
-                    point = curves[i][j].getPointAt(progress[i][j]);
-                    pointBox = curves[i][j].getPointAt(progress[i][j]+velocity);
-                    if(point && pointBox){
-                        hands[i][j].position.set(point.x,point.y,point.z);
-                        //console.log(Lcube20);
-                    }
-                    progress[i][j]+=velocity;
-                }
-            }
-        }
-    }
-}
-function updateLine(){
-    let Lpoints=[new THREE.Vector3(Lcube4.position.x,Lcube4.position.y,Lcube4.position.z),new THREE.Vector3(Lcube3.position.x,Lcube3.position.y,Lcube3.position.z),new THREE.Vector3(Lcube2.position.x,Lcube2.position.y,Lcube2.position.z),new THREE.Vector3(Lcube1.position.x,Lcube1.position.y,Lcube1.position.z)
-        ,new THREE.Vector3(Lcube.position.x,Lcube.position.y,Lcube.position.z),new THREE.Vector3(Lcube5.position.x,Lcube5.position.y,Lcube5.position.z),new THREE.Vector3(Lcube6.position.x,Lcube6.position.y,Lcube6.position.z),new THREE.Vector3(Lcube7.position.x,Lcube7.position.y,Lcube7.position.z)
-        ,new THREE.Vector3(Lcube8.position.x,Lcube8.position.y,Lcube8.position.z),new THREE.Vector3(Lcube7.position.x,Lcube7.position.y,Lcube7.position.z),new THREE.Vector3(Lcube6.position.x,Lcube6.position.y,Lcube6.position.z),new THREE.Vector3(Lcube5.position.x,Lcube5.position.y,Lcube5.position.z)
-        ,new THREE.Vector3(Lcube9.position.x,Lcube9.position.y,Lcube9.position.z),new THREE.Vector3(Lcube10.position.x,Lcube10.position.y,Lcube10.position.z),new THREE.Vector3(Lcube11.position.x,Lcube11.position.y,Lcube11.position.z),new THREE.Vector3(Lcube12.position.x,Lcube12.position.y,Lcube12.position.z)
-        ,new THREE.Vector3(Lcube11.position.x,Lcube11.position.y,Lcube11.position.z),new THREE.Vector3(Lcube10.position.x,Lcube10.position.y,Lcube10.position.z),new THREE.Vector3(Lcube9.position.x,Lcube9.position.y,Lcube9.position.z),new THREE.Vector3(Lcube13.position.x,Lcube13.position.y,Lcube13.position.z)
-        ,new THREE.Vector3(Lcube14.position.x,Lcube14.position.y,Lcube14.position.z),new THREE.Vector3(Lcube15.position.x,Lcube15.position.y,Lcube15.position.z),new THREE.Vector3(Lcube16.position.x,Lcube16.position.y,Lcube16.position.z),new THREE.Vector3(Lcube15.position.x,Lcube15.position.y,Lcube15.position.z)
-        ,new THREE.Vector3(Lcube14.position.x,Lcube14.position.y,Lcube14.position.z),new THREE.Vector3(Lcube13.position.x,Lcube13.position.y,Lcube13.position.z),new THREE.Vector3(Lcube17.position.x,Lcube17.position.y,Lcube17.position.z),new THREE.Vector3(Lcube18.position.x,Lcube18.position.y,Lcube18.position.z)
-        ,new THREE.Vector3(Lcube19.position.x,Lcube19.position.y,Lcube19.position.z),new THREE.Vector3(Lcube20.position.x,Lcube20.position.y,Lcube20.position.z),new THREE.Vector3(Lcube19.position.x,Lcube19.position.y,Lcube19.position.z),new THREE.Vector3(Lcube18.position.x,Lcube18.position.y,Lcube18.position.z)
-        ,new THREE.Vector3(Lcube17.position.x,Lcube17.position.y,Lcube17.position.z),new THREE.Vector3(Lcube.position.x,Lcube.position.y,Lcube.position.z)
-        ];
-    let Rpoints=[new THREE.Vector3(Rcube4.position.x,Rcube4.position.y,Rcube4.position.z),new THREE.Vector3(Rcube3.position.x,Rcube3.position.y,Rcube3.position.z),new THREE.Vector3(Rcube2.position.x,Rcube2.position.y,Rcube2.position.z),new THREE.Vector3(Rcube1.position.x,Rcube1.position.y,Rcube1.position.z)
-        ,new THREE.Vector3(Rcube.position.x,Rcube.position.y,Rcube.position.z),new THREE.Vector3(Rcube5.position.x,Rcube5.position.y,Rcube5.position.z),new THREE.Vector3(Rcube6.position.x,Rcube6.position.y,Rcube6.position.z),new THREE.Vector3(Rcube7.position.x,Rcube7.position.y,Rcube7.position.z)
-        ,new THREE.Vector3(Rcube8.position.x,Rcube8.position.y,Rcube8.position.z),new THREE.Vector3(Rcube7.position.x,Rcube7.position.y,Rcube7.position.z),new THREE.Vector3(Rcube6.position.x,Rcube6.position.y,Rcube6.position.z),new THREE.Vector3(Rcube5.position.x,Rcube5.position.y,Rcube5.position.z)
-        ,new THREE.Vector3(Rcube9.position.x,Rcube9.position.y,Rcube9.position.z),new THREE.Vector3(Rcube10.position.x,Rcube10.position.y,Rcube10.position.z),new THREE.Vector3(Rcube11.position.x,Rcube11.position.y,Rcube11.position.z),new THREE.Vector3(Rcube12.position.x,Rcube12.position.y,Rcube12.position.z)
-        ,new THREE.Vector3(Rcube11.position.x,Rcube11.position.y,Rcube11.position.z),new THREE.Vector3(Rcube10.position.x,Rcube10.position.y,Rcube10.position.z),new THREE.Vector3(Rcube9.position.x,Rcube9.position.y,Rcube9.position.z),new THREE.Vector3(Rcube13.position.x,Rcube13.position.y,Rcube13.position.z)
-        ,new THREE.Vector3(Rcube14.position.x,Rcube14.position.y,Rcube14.position.z),new THREE.Vector3(Rcube15.position.x,Rcube15.position.y,Rcube15.position.z),new THREE.Vector3(Rcube16.position.x,Rcube16.position.y,Rcube16.position.z),new THREE.Vector3(Rcube15.position.x,Rcube15.position.y,Rcube15.position.z)
-        ,new THREE.Vector3(Rcube14.position.x,Rcube14.position.y,Rcube14.position.z),new THREE.Vector3(Rcube13.position.x,Rcube13.position.y,Rcube13.position.z),new THREE.Vector3(Rcube17.position.x,Rcube17.position.y,Rcube17.position.z),new THREE.Vector3(Rcube18.position.x,Rcube18.position.y,Rcube18.position.z)
-        ,new THREE.Vector3(Rcube19.position.x,Rcube19.position.y,Rcube19.position.z),new THREE.Vector3(Rcube20.position.x,Rcube20.position.y,Rcube20.position.z),new THREE.Vector3(Rcube19.position.x,Rcube19.position.y,Rcube19.position.z),new THREE.Vector3(Rcube18.position.x,Rcube18.position.y,Rcube18.position.z)
-        ,new THREE.Vector3(Rcube17.position.x,Rcube17.position.y,Rcube17.position.z),new THREE.Vector3(Rcube.position.x,Rcube.position.y,Rcube.position.z)
-        ];
-    let Lgeometry = new THREE.BufferGeometry().setFromPoints(Lpoints);
-    let Rgeometry = new THREE.BufferGeometry().setFromPoints(Rpoints);
-    scene.remove(Lline);
-    scene.remove(Rline);
-    Lline = new THREE.Line(Lgeometry,Lmaterial);
-    Rline = new THREE.Line(Rgeometry,Rmaterial);
-    scene.add(Lline);
-    scene.add(Rline);
-}
-function live(string){
-    p =1;
-    progress = [[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]];
-    makeValue(string[0]);
-    makeCurve();
-    animate();
-}
-
-//清空场景中的物体
-// 清空场景，包括 scene 场景下的动画，子物体，renderer,camera,control，以及自己使用过的变量置空处理 等
-//----------------------------------------------------------------------------
-init();
-add();
-
-window.loadXMLDoc = function(str){
-    $.ajax({
-        url: "./main/txt.json",
-        type: "GET",
-        dataType: "json",
-        success: 
-        function (data) {
-            var xmlhttp = "{\"code\":200,\"msg\":\"true\",\"data\":\"0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.92152,0.82832,7.19508,0.91422,0.70989,0.059,0.86444,0.63217,0.07683,0.80353,0.60658,0.09287,0.75961,0.61367,0.10752,0.8165,0.5938,-0.0237,0.74865,0.4809,-0.0127,0.70593,0.41139,0.00995,0.67176,0.35838,0.02861,0.7751,0.64559,-0.0391,0.69415,0.57205,-0.0023,0.71578,0.58941,0.05731,0.74748,0.61375,0.09593,0.75177,0.70432,-0.0454,0.68256,0.63228,0.0003,0.70669,0.64129,0.05872,0.73504,0.66019,0.09037,0.73843,0.75981,-0.0484,0.68423,0.69001,-0.011,0.70404,0.68652,0.02841,0.72984,0.69979,0.05441|0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.85641,1.02485,1.16535,0.8954,0.8997,0.00402,0.88374,0.75663,-0.0293,0.85438,0.65826,-0.0554,0.81215,0.62125,-0.0766,0.81636,0.76506,-0.1419,0.73064,0.59787,-0.1836,0.68437,0.50185,-0.1973,0.6453,0.4279,-0.2058,0.76673,0.82161,-0.1485,0.68657,0.62056,-0.1963,0.64403,0.48735,-0.1946,0.61414,0.39204,-0.1932,0.72261,0.88146,-0.1401,0.64574,0.72052,-0.1448,0.67316,0.73747,-0.0836,0.70971,0.7799,-0.0434,0.68738,0.93987,-0.1342,0.63865,0.80311,-0.1182,0.66929,0.81369,-0.0684,0.70579,0.85604,-0.0332|\"}"; 
-            xmlhttp = xmlhttp.slice(33,xmlhttp.length-3);
-            xmlhttp = xmlhttp.split('|');
-            Strings = xmlhttp;
-            console.log(Strings);
-            cancelAnimationFrame(animateID);
-            live(Strings);
-        }
-    });
-}

src/mycode/three.js

@@ -1,230 +0,0 @@
-import * as THREE from "/static/three.js-r122/build/three.module.js"
-import {OrbitControls} from "/static/three.js-r122/examples/jsm/controls/OrbitControls.js";
-//定义全局变量
-//定义全局变量
-var geometry = new THREE.BoxGeometry(0.1,0.1,0.1);
-var Boxmaterial = new THREE.MeshBasicMaterial({color:0x00ff00});
-var Lmaterial = new THREE.MeshBasicMaterial({color:0x800080});
-var Rmaterial = new THREE.MeshBasicMaterial({color:0x800080});
-
-var progress = [[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]];
-var velocity = 0.01;
-
-var scene;
-var camera;
-var renderer;
-var controls;
-
-var Lhands=[]
-var Rhands=[]
-var hands = [Lhands,Rhands];
-var Lline;
-var Rline;
-var value1;
-var curve ;
-var strings=[];
-var string0 =[];
-"议案速度"
-var a="0.1925947666168213,0.5473065376281738,2.3206620625160213e-08,0.3033226728439331,0.5114372372627258,0.04651688411831856,0.41777345538139343,0.5392630696296692,0.027217578142881393,0.4958229064941406,0.6215819716453552,-0.010156922042369843,0.544066309928894,0.7091509103775024,-0.04631917551159859,0.48519444465637207,0.4558757543563843,0.0012310644378885627,0.6001424193382263,0.4919063448905945,-0.02964494377374649,0.6723194122314453,0.4914349913597107,-0.05351248010993004,0.7327231764793396,0.48740360140800476,-0.07321580499410629,0.4649563729763031,0.4880273640155792,-0.05196492746472359,0.5244404673576355,0.6586609482765198,-0.07859423011541367,0.4717526137828827,0.6705580949783325,-0.07350102812051773,0.44495320320129395,0.636782169342041,-0.06894036382436752,0.42801740765571594,0.542985737323761,-0.10230648517608643,0.4637511670589447,0.7040750980377197,-0.10944212228059769,0.41616007685661316,0.6964676380157471,-0.08283781260251999,0.39777180552482605,0.6557613611221313,-0.06995978206396103,0.3863465487957001,0.6023310422897339,-0.1533883661031723,0.41023093461990356,0.7209582328796387,-0.14129549264907837,0.3680790066719055,0.7129360437393188,-0.11648382246494293,0.3500169515609741,0.6766629219055176,-0.10399384796619415"
-var b="0.3074747920036316,0.9019898772239685,1.0195339683605198e-08,0.25297945737838745,0.741093635559082,0.11882976442575455,0.2568987011909485,0.6188923120498657,0.15985067188739777,0.2994866967201233,0.5347099900245667,0.18189513683319092,0.34198740124702454,0.4815441370010376,0.208918958902359,0.2663106322288513,0.5142314434051514,0.08551575988531113,0.3212432861328125,0.38244909048080444,0.1309291571378708,0.3601645231246948,0.3609071969985962,0.17727282643318176,0.38025137782096863,0.35570672154426575,0.20493900775909424,0.33115246891975403,0.5110653042793274,0.03439659997820854,0.34486210346221924,0.31776756048202515,0.06974716484546661,0.362997829914093,0.23869016766548157,0.11691167950630188,0.37287649512290955,0.1874750852584839,0.14666494727134705,0.395782470703125,0.5395836234092712,-0.003572869813069701,0.44010263681411743,0.4286065399646759,0.05928943678736687,0.4411655068397522,0.4772379696369171,0.13026396930217743,0.4254198670387268,0.5230597853660583,0.17077606916427612,0.4580012559890747,0.5990009903907776,-0.03686628118157387,0.4788168966770172,0.5118088126182556,0.027214739471673965,0.47198575735092163,0.5557542443275452,0.08088598400354385,0.45820629596710205,0.5955811142921448,0.1158442348241806"
-var c="0.4523501992225647,0.1942148208618164,1.7096501991886726e-08,0.4074195623397827,0.29815971851348877,-0.08865319937467575,0.3774319887161255,0.42925089597702026,-0.1571134626865387,0.33004724979400635,0.5312825441360474,-0.22099411487579346,0.267127126455307,0.6064754724502563,-0.2902185618877411,0.5546683669090271,0.5435442328453064,-0.1285058706998825,0.5916881561279297,0.7007477283477783,-0.20100270211696625,0.6193171739578247,0.7940925359725952,-0.25689464807510376,0.6485602855682373,0.8795797228813171,-0.2977239191532135,0.6190973520278931,0.4962724447250366,-0.1330675482749939,0.6876095533370972,0.6502389311790466,-0.19820000231266022,0.7323645353317261,0.7488104701042175,-0.25582656264305115,0.7742902040481567,0.8370606899261475,-0.30281922221183777,0.6567232012748718,0.4195241332054138,-0.14580829441547394,0.7421215176582336,0.5388163328170776,-0.20962446928024292,0.7959713935852051,0.6220346093177795,-0.268515020608902,0.8430056571960449,0.7013962864875793,-0.3116633892059326,0.6741085052490234,0.32284364104270935,-0.1664796620607376,0.756801187992096,0.39365607500076294,-0.22251586616039276,0.8009949922561646,0.44722166657447815,-0.2642620801925659,0.840006411075592,0.5034887790679932,-0.29797473549842834"
-
-var string = "0.3540383279323578,0.8863077163696289,5.255019974725883e-09,0.42504027485847473,0.8655926585197449,-0.03437764570116997,0.48042523860931396,0.806210994720459,-0.05496273189783096,0.5089290738105774,0.7344641089439392,-0.07449766248464584,0.5281661748886108,0.673363447189331,-0.09565073251724243,0.4463174641132355,0.6658893823623657,-0.031486935913562775,0.4772888720035553,0.5715258717536926,-0.05420501157641411,0.49460917711257935,0.5125950574874878,-0.07035552710294724,0.5082244873046875,0.4608921408653259,-0.0821903645992279,0.4041683077812195,0.6421458125114441,-0.03437076508998871,0.42221447825431824,0.5334337949752808,-0.054231300950050354,0.4320411682128906,0.46971893310546875,-0.07292795926332474,0.43996569514274597,0.41378194093704224,-0.08764351159334183,0.361648291349411,0.6407799124717712,-0.04192019999027252,0.3719751238822937,0.5392971038818359,-0.06619732081890106,0.37998464703559875,0.4714270234107971,-0.08831380307674408,0.38868609070777893,0.4155805706977844,-0.10313612222671509,0.3165479898452759,0.6576754450798035,-0.05323990061879158,0.31218597292900085,0.577325165271759,-0.0751069039106369,0.3108590245246887,0.5289334058761597,-0.09076160192489624,0.312467098236084,0.4876782298088074,-0.10198315232992172,0.3044047951698303,0.9663895964622498,6.9287020565411694e-09,0.38538458943367004,0.9433897733688354,-0.009958998300135136,0.4416201412677765,0.8743448257446289,-0.019099092110991478,0.4695747494697571,0.795817494392395,-0.021065426990389824,0.4836556017398834,0.7308721542358398,-0.019284158945083618,0.39677807688713074,0.7579846382141113,-0.04791314899921417,0.42566627264022827,0.6467018723487854,-0.04389629140496254,0.43870189785957336,0.5789888501167297,-0.03294100612401962,0.4477599859237671,0.5318640470504761,-0.02457273006439209,0.34907078742980957,0.7333060503005981,-0.03398894891142845,0.37949085235595703,0.6184651851654053,-0.02437933348119259,0.39749619364738464,0.553763747215271,-0.006116447038948536,0.4120081663131714,0.5092087984085083,0.004803979303687811,0.30696022510528564,0.7298744320869446,-0.014533798210322857,0.336764395236969,0.6606125235557556,0.009672199375927448,0.35517191886901855,0.6632943749427795,0.041734661906957626,0.36504673957824707,0.6806830167770386,0.06082293391227722,0.27332603931427,0.740144670009613,0.0023831308353692293,0.2884930372238159,0.6849370002746582,0.02794426493346691,0.29987964034080505,0.6789973974227905,0.05210520327091217,0.3059382438659668,0.68449467420578,0.06873659789562225";
-strings.push(string);
-// strings.push(a);
-// strings.push(a);
-// strings.push(c);
-strings.push(string)
-strings.push(string)
-strings.push(string);
-var p=0;
-var Rpoints=[new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)
-    ,new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0),new THREE.Vector3(0,0,0)]; 
-//-------------------------------------------------
-function creat(){
-    for (let i = 0; i < 21; i++) {
-        Lhands.push(new THREE.Mesh( geometry, Boxmaterial ))
-        Rhands.push(new THREE.Mesh( geometry, Boxmaterial ))
-    }
-    init()
-    add();
-    makeValue(string);
-    console.log(value1);
-    makeCurve();
-    animate();
-}
-function init(){
-    //初始化场景
-    scene = new THREE.Scene();
-    //初始化相机
-    camera = new THREE.PerspectiveCamera(60, window.innerWidth / window.innerHeight, 1, 1000);
-    camera.position.set(10, 15, 10);//设置相机位置
-    camera.lookAt(0,0,0); //设置相机方向(指向的场景对象)
-    //初始化渲染器
-    renderer = new THREE.WebGLRenderer({ antialias: true });
-    renderer.setClearColor(0xb9d3ff, 1); //设置背景颜色
-    renderer.setSize(950, 415);
-
-    renderer.shadowMapEnabled = true;//开启阴影，加上阴影渲染
-    document.getElementById("container").appendChild(renderer.domElement);//渲染到浏览器
-    controls = new OrbitControls(camera, renderer.domElement);
-    //controls.enableDamping = true;//阻尼
-    controls.update();
-}
-function add(){
-    for(let i = 0;i<21;i++){
-        scene.add(Lhands[i]);
-    }
-    /*for(let i = 0;i<21;i++){
-        scene.add(Rhand[i]);
-    }*/
-    let geometry = new THREE.BufferGeometry().setFromPoints([new THREE.Vector3(0,0,0)]);
-    let geometry1 = new THREE.BufferGeometry().setFromPoints([new THREE.Vector3(0,0,0)]);
-    Lline = new THREE.Line(geometry,Lmaterial);
-    Rline = new THREE.Line(geometry1,Rmaterial);
-    scene.add(Lline);
-    scene.add(Rline);
-}
-
-function animate(){
-    requestAnimationFrame(animate);
-    moveOnCurve();
-    //console.log(Lhands);
-    controls.update;
-    updateLine();
-    //获取屏幕宽度
-    var htmlWidth = document.documentElement.clientWidth;
-    var htmlHeight = document.documentElement.clientHeight;
-    //窗口自适应
-    console.log(htmlWidth);
-    if(htmlWidth>900&&htmlWidth<950&&htmlHeight<1200){
-        renderer.setSize(900, 415);
-
-    }
-    else if(htmlWidth>950&&htmlHeight>1200){
-        renderer.setSize(950, 1200);
-    }
-    else if(htmlWidth>850&&htmlWidth<900&&htmlHeight<1200){
-        renderer.setSize(850, 415);
-    }
-    else{
-        renderer.setSize(950, 415);
-    }
-    if(progress[0][0]>1-velocity&&p!=strings.length-1){
-        progress = [[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]];
-        makeValue(strings[p]);
-        makeCurve();
-        p++;
-    }
-    renderer.render(scene,camera);
-}
-function makeValue(value){
-     value1 = [[[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[]]
-    ,[[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[]]];
-    var value = value.split(',');
-    for(let i=0;i<value.length;i++){
-        value[i] =parseFloat(value[i])*10;
-    }
-    for(let k=0;k<value.length/63;k++){
-        for(let i=0;i<21;i++){
-            
-                var x = value[0+i*3+k*63];
-                var y = value[1+i*3+k*63];
-                var z = value[2+i*3+k*63];
-                value1[0][i].push(new THREE.Vector3(x,y,z));
-            
-        }}
-}
-function makeCurve(){
-    curve = [[[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[]],[[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[],[]]];
-    for(let i = 0;i<1;i++){
-        for(let j=0;j<21;j++){
-            if(value1[i][j].length!=0){
-                curve[i][j] = new THREE.CatmullRomCurve3(value1[i][j]);
-            curve[i][j].curveType = "catmullrom";
-            curve[i][j].closed = false;
-            curve[i][j].tension = 0.7;
-            }
-            
-        }
-    }
-}
-function moveOnCurve(){
-    let point;
-    let pointBox;
-    for(let i=0;i<1;i++){
-        for(let j=0;j<21;j++){
-            if(curve[i][j].length==0){
-                console.log("Loading");
-            }
-            else{
-                if(progress[i][j]<=1-velocity){
-                    point = curve[i][j].getPointAt(progress[i][j]);
-                    pointBox = curve[i][j].getPointAt(progress[i][j]+velocity);
-                    if(point && pointBox){
-                        hands[i][j].position.set(point.x,point.y,point.z);
-                        //console.log(Lhands20);
-                    }
-                    progress[i][j]+=velocity;
-                }
-            }
-        }
-    }
-}
-function updateLine(){
-    let Lpoints=[new THREE.Vector3(Lhands[4].position.x,Lhands[4].position.y,Lhands[4].position.z),new THREE.Vector3(Lhands[3].position.x,Lhands[3].position.y,Lhands[3].position.z),new THREE.Vector3(Lhands[2].position.x,Lhands[2].position.y,Lhands[2].position.z),new THREE.Vector3(Lhands[1].position.x,Lhands[1].position.y,Lhands[1].position.z)
-        ,new THREE.Vector3(Lhands[0].position.x,Lhands[0].position.y,Lhands[0].position.z),new THREE.Vector3(Lhands[5].position.x,Lhands[5].position.y,Lhands[5].position.z),new THREE.Vector3(Lhands[6].position.x,Lhands[6].position.y,Lhands[6].position.z),new THREE.Vector3(Lhands[7].position.x,Lhands[7].position.y,Lhands[7].position.z)
-        ,new THREE.Vector3(Lhands[8].position.x,Lhands[8].position.y,Lhands[8].position.z),new THREE.Vector3(Lhands[7].position.x,Lhands[7].position.y,Lhands[7].position.z),new THREE.Vector3(Lhands[6].position.x,Lhands[6].position.y,Lhands[6].position.z),new THREE.Vector3(Lhands[5].position.x,Lhands[5].position.y,Lhands[5].position.z)
-        ,new THREE.Vector3(Lhands[9].position.x,Lhands[9].position.y,Lhands[9].position.z),new THREE.Vector3(Lhands[10].position.x,Lhands[10].position.y,Lhands[10].position.z),new THREE.Vector3(Lhands[11].position.x,Lhands[11].position.y,Lhands[11].position.z),new THREE.Vector3(Lhands[12].position.x,Lhands[12].position.y,Lhands[12].position.z)
-        ,new THREE.Vector3(Lhands[11].position.x,Lhands[11].position.y,Lhands[11].position.z),new THREE.Vector3(Lhands[10].position.x,Lhands[10].position.y,Lhands[10].position.z),new THREE.Vector3(Lhands[9].position.x,Lhands[9].position.y,Lhands[9].position.z),new THREE.Vector3(Lhands[13].position.x,Lhands[13].position.y,Lhands[13].position.z)
-        ,new THREE.Vector3(Lhands[14].position.x,Lhands[14].position.y,Lhands[14].position.z),new THREE.Vector3(Lhands[15].position.x,Lhands[15].position.y,Lhands[15].position.z),new THREE.Vector3(Lhands[16].position.x,Lhands[16].position.y,Lhands[16].position.z),new THREE.Vector3(Lhands[15].position.x,Lhands[15].position.y,Lhands[15].position.z)
-        ,new THREE.Vector3(Lhands[14].position.x,Lhands[14].position.y,Lhands[14].position.z),new THREE.Vector3(Lhands[13].position.x,Lhands[13].position.y,Lhands[13].position.z),new THREE.Vector3(Lhands[17].position.x,Lhands[17].position.y,Lhands[17].position.z),new THREE.Vector3(Lhands[18].position.x,Lhands[18].position.y,Lhands[18].position.z)
-        ,new THREE.Vector3(Lhands[19].position.x,Lhands[19].position.y,Lhands[19].position.z),new THREE.Vector3(Lhands[20].position.x,Lhands[20].position.y,Lhands[20].position.z),new THREE.Vector3(Lhands[19].position.x,Lhands[19].position.y,Lhands[19].position.z),new THREE.Vector3(Lhands[18].position.x,Lhands[18].position.y,Lhands[18].position.z)
-        ,new THREE.Vector3(Lhands[17].position.x,Lhands[17].position.y,Lhands[17].position.z),new THREE.Vector3(Lhands[0].position.x,Lhands[0].position.y,Lhands[0].position.z)
-        ];
-        let geometry = new THREE.BufferGeometry().setFromPoints(Lpoints);
-    let geometry1 = new THREE.BufferGeometry().setFromPoints(Rpoints);
-    scene.remove(Lline);
-    Lline = new THREE.Line(geometry,Lmaterial);
-    Rline = new THREE.Line(geometry1,Rmaterial);
-    scene.add(Lline);
-}
-//----------------------------------------------------------------------------
-creat()
-
-function ajax(str) {
-    var xmlhttp;
-    if (str.length==0)
-    {
-        document.getElementById("txtHint").innerHTML="";
-        return;
-    }
-    if (window.XMLHttpRequest) xmlhttp=new XMLHttpRequest();
-    else xmlhttp=new ActiveXObject("Microsoft.XMLHTTP");
-    xmlhttp.onreadystatechange=function()
-    {
-        if (xmlhttp.readyState==4 && xmlhttp.status==200)
-        {
-            document.getElementById("txtHint").innerHTML+=xmlhttp.responseText;
-            num=0
-        }
-    }
-    xmlhttp.open("GET","/xyz?="+str,true)
-    xmlhttp.send();
-}
-document.getElementById("btn").onclick = function(){
-    var input=document.getElementById("input")
-    var str = input.innerText
-    ajax(str)
-}

src/p1/Image/demo.csv

@@ -1,410 +0,0 @@
-0.3672250509262085,0.4179880917072296,0.4695280194282532,0.49156856536865234,0.49321216344833374,0.45238471031188965,0.4877510368824005,0.5080196261405945,0.5232072472572327,0.4037284851074219,0.44271183013916016,0.43356043100357056,0.42016056180000305,0.3605581521987915,0.397826224565506,0.3969351053237915,0.38921689987182617,0.3286134898662567,0.3636382520198822,0.36193493008613586,0.3519071936607361,0.5397818684577942,-0.16961289942264557,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.30869466066360474,0.3715760111808777,0.4360824525356293,0.4620529115200043,0.43777939677238464,0.4187077581882477,0.4465884566307068,0.4686364531517029,0.48788508772850037,0.3750520944595337,0.3852306306362152,0.38505011796951294,0.3842168152332306,0.3290930986404419,0.3454356789588928,0.3464469313621521,0.3420335650444031,0.28833597898483276,0.3039911985397339,0.30578845739364624,0.3019822835922241,0.4194241464138031,-0.058077372610569,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0
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src/p1/Image/train.py

@@ -1,118 +0,0 @@
-import csv
-import random
-import tensorflow as tf
-import os
-column_names = []
-
-train_feature=[]
-train_label=[]
-test_feature=[]
-test_label=[]
-
-with open("test.csv","r") as r:
-    reader = csv.reader(r)
-    for i in reader:
-        rand = random.randint(0,100)
-        if rand<=85:
-            train_label.append((eval(i.pop())))
-            b = []
-            for j in range(len(i)//3):
-
-                b.append([j])
-            train_feature.append(b)
-        else:
-            test_label.append((eval(i.pop())))
-            b = [eval(j) for j in i]
-            test_feature.append(b)
-train_features = tf.constant(train_feature)
-train_labels = tf.constant(train_label)
-test_features = tf.constant(test_feature)
-test_labels = tf.constant(test_label)
-
-
-model = tf.keras.Sequential([
-  tf.keras.layers.Flatten(input_shape=(252,)),
-  tf.keras.layers.Dense(10, activation=tf.nn.relu),  # input shape required
-  tf.keras.layers.Dense(10, activation=tf.nn.relu),
-  tf.keras.layers.Dense(3)
-])
-predictions = model(train_features)
-tf.nn.softmax(predictions[:5])
-print("Prediction: {}".format(tf.argmax(predictions, axis=1)))
-print("    Labels: {}".format(train_labels))
-loss_object = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
-
-def loss(model, x, y, training):
-  # training=training is needed only if there are layers with different
-  # behavior during training versus inference (e.g. Dropout).
-  y_ = model(x, training=training)
-
-  return loss_object(y_true=y, y_pred=y_)
-l = loss(model, train_features, train_labels, training=False)
-def grad(model, inputs, targets):
-  with tf.GradientTape() as tape:
-    loss_value = loss(model, inputs, targets, training=True)
-  return loss_value, tape.gradient(loss_value, model.trainable_variables)
-
-optimizer = tf.keras.optimizers.SGD(learning_rate=0.01)
-loss_value, grads = grad(model, train_features, train_labels)
-
-print("Step: {}, Initial Loss: {}".format(optimizer.iterations.numpy(),
-                                          loss_value.numpy()))
-
-optimizer.apply_gradients(zip(grads, model.trainable_variables))
-
-print("Step: {},         Loss: {}".format(optimizer.iterations.numpy(),
-                                          loss(model, train_features, train_labels, training=True).numpy()))
-
-## Note: Rerunning this cell uses the same model variables
-
-# Keep results for plotting
-train_loss_results = []
-train_accuracy_results = []
-
-num_epochs = 201
-
-for epoch in range(num_epochs):
-  epoch_loss_avg = tf.keras.metrics.Mean()
-  epoch_accuracy = tf.keras.metrics.SparseCategoricalAccuracy()
-
-  # Training loop - using batches of 32
-  branch = 32
-  for num in range(len(train_features)//branch):
-    x = train_features[num*branch:(num+1)*branch]
-    y = train_labels[num*branch:(num+1)*branch]
-    # Optimize the model
-    loss_value, grads = grad(model, x, y)
-    optimizer.apply_gradients(zip(grads, model.trainable_variables))
-
-    # Track progress
-    epoch_loss_avg.update_state(loss_value)  # Add current batch loss
-    # Compare predicted label to actual label
-    # training=True is needed only if there are layers with different
-    # behavior during training versus inference (e.g. Dropout).
-    epoch_accuracy.update_state(y, model(x, training=True))
-
-  # End epoch
-  train_loss_results.append(epoch_loss_avg.result())
-  train_accuracy_results.append(epoch_accuracy.result())
-
-  if epoch % 50 == 0:
-    print("Epoch {:03d}: Loss: {:.3f}, Accuracy: {:.3%}".format(epoch,
-                                                                epoch_loss_avg.result(),
-                                                                epoch_accuracy.result()))
-
-test_accuracy = tf.keras.metrics.Accuracy()
-model.save("model")
-
-for num in range(len(test_features)):
-  # training=False is needed only if there are layers with different
-  # behavior during training versus inference (e.g. Dropout).
-  x = test_features[num:num+1]
-  y = test_labels[num:num+1]
-  logits = model(x, training=False)
-  prediction = tf.argmax(logits, axis=1, output_type=tf.int32)
-  print("真实值为",y,"预测值为",prediction)
-  test_accuracy(prediction, y)
-
-print("Test set accuracy: {:.3%}".format(test_accuracy.result()))

src/p1/makedata/make_str.py

@@ -1,69 +0,0 @@
-strs = "INSERT INTO XYZ VALUES ("
-
-
-import cv2
-import mediapipe as mp
-
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_hands = mp.solutions.hands
-
-
-wt = []
-num = 0
-# For webcam input:
-cap = cv2.VideoCapture(0)
-
-with mp_hands.Hands(
-    model_complexity=0,
-    max_num_hands=2,
-    min_detection_confidence=0.5,
-    min_tracking_confidence=0.5) as hands:
-  while cap.isOpened():
-    success, image = cap.read()
-    if not success:
-      print("Ignoring empty camera frame.")
-      # If loading a video, use 'break' instead of 'continue'.
-      continue
-
-    # To improve performance, optionally mark the image as not writeable to
-    # pass by reference.
-    image.flags.writeable = False
-    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-    results = hands.process(image)
-
-    # Draw the hand annotations on the image.
-    image.flags.writeable = True
-    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-    if results.multi_hand_landmarks:
-      wt = []
-      for i in range(42 * 3):
-        wt.append(0)
-      for i,hand_landmarks in enumerate(results.multi_hand_landmarks):
-          if (results.multi_handedness[i].classification[0].label)=="Left":
-              num = 0
-          else:
-              num =1
-          for j,handlms in enumerate(hand_landmarks.landmark):
-              wt[num*21*3+j*3],wt[num*21*3+j*3+1],wt[num*21*3+j*3+2] = handlms.x, handlms.y, handlms.z
-          mp_drawing.draw_landmarks(
-              image,
-              hand_landmarks,
-              mp_hands.HAND_CONNECTIONS,
-              mp_drawing_styles.get_default_hand_landmarks_style(),
-              mp_drawing_styles.get_default_hand_connections_style())
-    # Flip the image horizontally for a selfie-view display.
-    cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))
-    ctl = cv2.waitKey(5)
-    if ctl == ord('q'):
-      break
-    elif ctl==ord('s'):
-        strs=""
-        for i in wt:
-            strs+=str(i)[:7]+","
-        strs = strs[:-1]
-        print(strs)
-cap.release()
-
-
-print ("数据插入成功")

src/p1/makedata/makecsv.py

@@ -1,63 +0,0 @@
-import cv2
-import mediapipe as mp
-import csv
-
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_hands = mp.solutions.hands
-
-ls = []
-for i in range(21*3*2+1):
-    ls.append(0)
-wt = ls
-num = 0
-# For webcam input:
-cap = cv2.VideoCapture(0)
-with open("num_1_5.csv","w") as csvfile:
-    writer = csv.writer(csvfile)
-
-    with mp_hands.Hands(
-        model_complexity=0,
-        max_num_hands=2,
-        min_detection_confidence=0.5,
-        min_tracking_confidence=0.5) as hands:
-      while cap.isOpened():
-        success, image = cap.read()
-        if not success:
-          print("Ignoring empty camera frame.")
-          # If loading a video, use 'break' instead of 'continue'.
-          continue
-
-        # To improve performance, optionally mark the image as not writeable to
-        # pass by reference.
-        image.flags.writeable = False
-        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-        results = hands.process(image)
-
-        # Draw the hand annotations on the image.
-        image.flags.writeable = True
-        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-        if results.multi_hand_landmarks:
-          for i,hand_landmarks in enumerate(results.multi_hand_landmarks):
-            if (results.multi_handedness[i].classification[0].label)=="Left":
-                num = 0
-            else:
-                num =1
-            for j,handlms in enumerate(hand_landmarks.landmark):
-                wt[num*21*3+j*3],wt[num*21*3+j*3+1],wt[num*21*3+j*3+2] = handlms.x, handlms.y, handlms.z
-            mp_drawing.draw_landmarks(
-                image,
-                hand_landmarks,
-                mp_hands.HAND_CONNECTIONS,
-                mp_drawing_styles.get_default_hand_landmarks_style(),
-                mp_drawing_styles.get_default_hand_connections_style())
-        # Flip the image horizontally for a selfie-view display.
-        cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))
-        ctl = cv2.waitKey(5)
-        if ctl == ord('q'):
-          break
-        elif ctl>=ord('0') and ctl<=ord('9'):
-            wt[len(wt)-1]=chr(ctl)
-            writer.writerow(wt)
-            wt = ls
-cap.release()

src/p1/makedata/makexyz.py

@@ -1,81 +0,0 @@
-import sqlite3
-
-conn = sqlite3.connect('info.db')
-c = conn.cursor()
-print ("数据库打开成功")
-strs = "INSERT INTO XYZ VALUES ("
-
-
-import cv2
-import mediapipe as mp
-
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_hands = mp.solutions.hands
-
-ls = []
-for i in range(42*2):
-    ls.append(0)
-wt = ls
-num = 0
-# For webcam input:
-cap = cv2.VideoCapture(0)
-
-with mp_hands.Hands(
-    model_complexity=0,
-    max_num_hands=2,
-    min_detection_confidence=0.5,
-    min_tracking_confidence=0.5) as hands:
-  while cap.isOpened():
-    success, image = cap.read()
-    if not success:
-      print("Ignoring empty camera frame.")
-      # If loading a video, use 'break' instead of 'continue'.
-      continue
-
-    # To improve performance, optionally mark the image as not writeable to
-    # pass by reference.
-    image.flags.writeable = False
-    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-    results = hands.process(image)
-
-    # Draw the hand annotations on the image.
-    image.flags.writeable = True
-    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-    aa=0
-    if results.multi_hand_landmarks:
-      for i,hand_landmarks in enumerate(results.multi_hand_landmarks):
-        if (results.multi_handedness[i].classification[0].label)=="Left":
-            num = 0
-        else:
-            num =1
-        for j,handlms in enumerate(hand_landmarks.landmark):
-            aa+=1
-            wt[num*21*2+j*2],wt[num*21*2+j*2+1] = handlms.x, handlms.y
-        mp_drawing.draw_landmarks(
-            image,
-            hand_landmarks,
-            mp_hands.HAND_CONNECTIONS,
-            mp_drawing_styles.get_default_hand_landmarks_style(),
-            mp_drawing_styles.get_default_hand_connections_style())
-    # Flip the image horizontally for a selfie-view display.
-    cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))
-    ctl = cv2.waitKey(5)
-    if ctl == ord('q'):
-      break
-    elif ctl==ord('s'):
-        word = "\'"+input()+"\',"
-        strs+=word
-        print(aa)
-        print(len(wt))
-        for i in wt:
-            strs+=str(i)[:7]+","
-        strs = strs[:-1] + ");"
-        c.execute(strs)
-        conn.commit()
-        print(strs)
-cap.release()
-
-
-print ("数据插入成功")
-conn.close()

src/p1/makedata/random_csv.py

@@ -1,18 +0,0 @@
-import csv
-import random
-import time
-
-ls = []
-with open("num_1_5.csv","r") as r:
-    read = csv.reader(r)
-    for i in read:
-        ls.append(i)
-for i in range(len(ls)):
-    random.seed(time.time())
-    rand = random.randint(0,100)
-    ls[i],ls[rand]=ls[rand],ls[i]
-
-with open("test.csv","w") as w:
-    writer = csv.writer(w)
-    for i in ls:
-        writer.writerow(i)

src/p1/model/keras_metadata.pb

@@ -1,6 +0,0 @@
-
-–%root"_tf_keras_sequential*ñ${"name": "sequential", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": false, "class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": {"class_name": "__tuple__", "items": [null, 252]}, "dtype": "float32", "sparse": false, "ragged": false, "name": "flatten_input"}}, {"class_name": "Flatten", "config": {"name": "flatten", "trainable": true, "batch_input_shape": {"class_name": "__tuple__", "items": [null, 252]}, "dtype": "float32", "data_format": "channels_last"}}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 10, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 10, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 6, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}]}, "shared_object_id": 11, "input_spec": [{"class_name": "InputSpec", "config": {"dtype": null, "shape": {"class_name": "__tuple__", "items": [null, 252]}, "ndim": 2, "max_ndim": null, "min_ndim": null, "axes": {}}}], "build_input_shape": {"class_name": "TensorShape", "items": [null, 252]}, "is_graph_network": true, "full_save_spec": {"class_name": "__tuple__", "items": [[{"class_name": "TypeSpec", "type_spec": "tf.TensorSpec", "serialized": [{"class_name": "TensorShape", "items": [null, 252]}, "float32", "flatten_input"]}], {}]}, "save_spec": {"class_name": "TypeSpec", "type_spec": "tf.TensorSpec", "serialized": [{"class_name": "TensorShape", "items": [null, 252]}, "float32", "flatten_input"]}, "keras_version": "2.10.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": {"class_name": "__tuple__", "items": [null, 252]}, "dtype": "float32", "sparse": false, "ragged": false, "name": "flatten_input"}, "shared_object_id": 0}, {"class_name": "Flatten", "config": {"name": "flatten", "trainable": true, "batch_input_shape": {"class_name": "__tuple__", "items": [null, 252]}, "dtype": "float32", "data_format": "channels_last"}, "shared_object_id": 1}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 10, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 2}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 3}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 4}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 10, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 5}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 6}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 7}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 6, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 8}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 9}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 10}]}}}2

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src/p1/remote/Gramhands.py

@@ -1,65 +0,0 @@
-import os
-
-import cv2
-import mediapipe as mp
-
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_hands = mp.solutions.hands
-
-
-class remote_mhands():
-    def __init__(self):
-        self.hands=[]
-        self.imgs=[]
-        self.wt = []
-        for i in range(21*3*2):
-            self.wt.append(0)
-        self.num=0
-        self.len=2
-        self.create_mhand()
-
-    def create_mhand(self):
-        for i in range(self.len):
-            mhand = mp_hands.Hands(
-                model_complexity=0,
-                max_num_hands=2,
-                min_detection_confidence=0.5,
-                min_tracking_confidence=0.5)
-            self.hands.append(mhand)
-
-    def recv(self,img):
-        results=self.hands[self.num].process(img)
-        self.num=self.num%self.len+1
-        if results.multi_hand_landmarks:
-            for i in range(len(self.wt)):
-                self.wt[i]=0
-            for i, hand_landmarks in enumerate(results.multi_hand_landmarks):
-                if (results.multi_handedness[i].classification[0].label) == "Left":
-                    num = 0
-                else:
-                    num = 1
-                for j, handlms in enumerate(hand_landmarks.landmark):
-                    self.wt[num * 21 * 3 + j * 3], self.wt[num * 21 * 3 + j * 3 + 1], self.wt[num * 21 * 3 + j * 3 + 2] = handlms.x, handlms.y, handlms.z
-        return self.wt
-
-    def file(self,path):
-        img=cv2.imread(path)
-        results=self.hands[self.num].process(img)
-        self.num=self.num%self.len+1
-        if results.multi_hand_landmarks:
-            for i in range(len(self.wt)):
-                self.wt[i]=0
-            for i, hand_landmarks in enumerate(results.multi_hand_landmarks):
-                if (results.multi_handedness[i].classification[0].label) == "Left":
-                    num = 0
-                else:
-                    num = 1
-                for j, handlms in enumerate(hand_landmarks.landmark):
-                    self.wt[num * 21 * 3 + j * 3], self.wt[num * 21 * 3 + j * 3 + 1], self.wt[num * 21 * 3 + j * 3 + 2] = handlms.x, handlms.y, handlms.z
-        os.remove(path)
-        strs=""
-        for i in self.wt:
-            strs+=str(i)[:7]+","
-        strs = strs[:-1]
-        return strs

src/p1/remote/demo.py

@@ -1,65 +0,0 @@
-import img_return
-
-
-print ("数据库打开成功")
-strs = "INSERT INTO XYZ VALUES ("
-
-import cv2
-import mediapipe as mp
-
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_hands = mp.solutions.hands
-
-num = 0
-# For webcam input:
-cap = cv2.VideoCapture(0)
-
-with mp_hands.Hands(
-    model_complexity=0,
-    max_num_hands=2,
-    min_detection_confidence=0.5,
-    min_tracking_confidence=0.5) as hands:
-  while cap.isOpened():
-    success, image = cap.read()
-    if not success:
-      print("Ignoring empty camera frame.")
-      # If loading a video, use 'break' instead of 'continue'.
-      continue
-    imagec=image
-    # To improve performance, optionally mark the image as not writeable to
-    # pass by reference.
-    image.flags.writeable = False
-    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-    results = hands.process(image)
-
-    # Draw the hand annotations on the image.
-    image.flags.writeable = True
-    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-    if results.multi_hand_landmarks:
-      wt = []
-      for i in range(42 * 3):
-        wt.append(0)
-      for i,hand_landmarks in enumerate(results.multi_hand_landmarks):
-        if (results.multi_handedness[i].classification[0].label)=="Left":
-            num =0
-        else:
-            num =1
-        for j,handlms in enumerate(hand_landmarks.landmark):
-            wt[num*21*3+j*3],wt[num*21*3+j*3+1],wt[num*21*3+j*3+2] = handlms.x, handlms.y, handlms.z
-        mp_drawing.draw_landmarks(
-            image,
-            hand_landmarks,
-            mp_hands.HAND_CONNECTIONS,
-            mp_drawing_styles.get_default_hand_landmarks_style(),
-            mp_drawing_styles.get_default_hand_connections_style())
-    # Flip the image horizontally for a selfie-view display.
-    cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))
-    ctl = cv2.waitKey(5)
-    if ctl == ord('q'):
-      break
-    elif ctl==ord('s'):
-        re=img_return.img_return(imagec)
-        re.run2(hands)
-cap.release()
-

src/p1/remote/img_return.py

@@ -1,53 +0,0 @@
-strs = "INSERT INTO XYZ VALUES ("
-
-import mediapipe as mp
-import cv2
-
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_hands = mp.solutions.hands
-
-
-wt = []
-num = 0
-# For webcam input:
-
-
-class img_return():
-    def __init__(self,img):
-        self.image=img
-        self.image.flags.writeable = False
-        self.image = cv2.cvtColor(self.image, cv2.COLOR_BGR2RGB)
-        self.hands=mp_hands.Hands(
-                model_complexity=0,
-                max_num_hands=2,
-                min_detection_confidence=0.5,
-                min_tracking_confidence=0.5)
-        self.num=0
-        self.wt = []
-        for i in range(21*3*2):
-            self.wt.append(0)
-
-    def run(self):
-        results=self.hands.process(self.image)
-        if results.multi_hand_landmarks:
-            for i, hand_landmarks in enumerate(results.multi_hand_landmarks):
-                if (results.multi_handedness[i].classification[0].label) == "Left":
-                    num = 0
-                else:
-                    num = 1
-                for j, handlms in enumerate(hand_landmarks.landmark):
-                    self.wt[num * 21 * 3 + j * 3], self.wt[num * 21 * 3 + j * 3 + 1], self.wt[num * 21 * 3 + j * 3 + 2] = handlms.x, handlms.y, handlms.z
-        print(self.wt)
-
-    def run2(self,hands):
-        results=hands.process(self.image)
-        if results.multi_hand_landmarks:
-            for i, hand_landmarks in enumerate(results.multi_hand_landmarks):
-                if (results.multi_handedness[i].classification[0].label) == "Left":
-                    num = 0
-                else:
-                    num = 1
-                for j, handlms in enumerate(hand_landmarks.landmark):
-                    self.wt[num * 21 * 3 + j * 3], self.wt[num * 21 * 3 + j * 3 + 1], self.wt[num * 21 * 3 + j * 3 + 2] = handlms.x, handlms.y, handlms.z
-        print(self.wt)

src/p1/remote/listen.py

@@ -1,66 +0,0 @@
-# -*- coding=utf-8 -*-
-
-import socket
-import threading
-import time
-import sys
-import os
-import struct
-
-import Gramhands
-
-mhand=Gramhands.remote_mhands()
-
-def socket_service():
-    try:
-        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-        s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
-        s.bind(('127.0.0.1', 6666))
-        s.listen(10)
-    except socket.error as msg:
-        print(msg)
-        sys.exit(1)
-    print('Waiting connection...')
-
-    while 1:
-        conn, addr = s.accept()
-        t = threading.Thread(target=deal_data, args=(conn, addr))
-        t.start()
-
-
-def deal_data(conn, addr):
-    print('Accept new connection from {0}'.format(addr))
-    # conn.settimeout(500)
-    conn.send('Hi, Welcome to the server!'.encode("utf-8"))
-
-    while 1:
-        fileinfo_size = struct.calcsize('128sl')
-        buf = conn.recv(fileinfo_size)
-        now_tim = time.time()
-        now_tim = str(int(now_tim))
-        if buf:
-            filename, filesize = struct.unpack('128sl', buf)
-
-            recvd_size = 0  # 定义已接收文件的大小
-            fp = open(now_tim+".png", 'wb')
-
-            while not recvd_size == filesize:
-                if filesize - recvd_size > 1024:
-                    data = conn.recv(1024)
-                    recvd_size += len(data)
-                else:
-                    data = conn.recv(filesize - recvd_size)
-                    recvd_size = filesize
-                fp.write(data)
-            fp.close()
-            print('end receive...')
-        strs=mhand.file(now_tim)
-        conn.send(strs.encode("utf-8"))
-        print(conn.recv(1024).decode('utf-8'))
-        conn.close()
-
-        break
-
-
-if __name__ == '__main__':
-    socket_service()

src/p1/remote/recv_img.py

@@ -1,78 +0,0 @@
-# -*- coding=utf-8 -*-
-
-"""
-file: recv.py
-socket service
-"""
-import socket
-import threading
-import time
-import sys
-import os
-import struct
-
-import cv2
-import numpy as np
-
-import Gramhands
-
-mhand=Gramhands.remote_mhands()
-
-def socket_service():
-    try:
-        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-        s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
-        s.bind(('127.0.0.1', 6666))
-        s.listen(10)
-    except socket.error as msg:
-        print(msg)
-        sys.exit(1)
-    print('Waiting connection...')
-
-    while 1:
-        conn, addr = s.accept()
-        t = threading.Thread(target=deal_data, args=(conn, addr))
-        t.start()
-
-
-def deal_data(conn, addr):
-    print('Accept new connection from {0}'.format(addr))
-    # conn.settimeout(500)
-    conn.send('Hi, Welcome to the server!'.encode("utf-8"))
-
-    while 1:
-        buffer_data=bytes()
-
-        fileinfo_size = struct.calcsize('128sl')
-        buf = conn.recv(fileinfo_size)
-        if buf:
-            filename, filesize = struct.unpack('128sl', buf)
-
-            recvd_size = 0  # 定义已接收文件的大小
-            now_tim=time.time()
-            now_tim=str(int(now_tim))
-            fp = open(now_tim+".png", 'wb')
-
-            while not recvd_size == filesize:
-                if filesize - recvd_size > 1024:
-                    data = conn.recv(1024)
-                    buffer_data+=data
-                    recvd_size += len(data)
-                else:
-                    data = conn.recv(filesize - recvd_size)
-                    recvd_size = filesize
-                fp.write(data)
-            fp.close()
-            print('end receive...')
-        img_np_arr = np.frombuffer(buffer_data, np.uint8)
-        image = cv2.imdecode(img_np_arr, cv2.IMREAD_COLOR)
-        strs=mhand.recv(image)
-        print(strs)
-        conn.send('已发送'.encode("utf-8"))
-        print(conn.recv(1024).decode('utf-8'))
-        conn.close()
-        break
-
-
-if __name__ == '__main__':
-    socket_service()

src/p1/remote/return.py

@@ -1,71 +0,0 @@
-strs = "INSERT INTO XYZ VALUES ("
-
-
-import cv2
-import mediapipe as mp
-
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_hands = mp.solutions.hands
-
-
-wt = []
-num = 0
-# For webcam input:
-input_video="rtmp://127.0.0.1/myapp/demo"
-
-cap = cv2.VideoCapture(input_video)
-
-with mp_hands.Hands(
-    model_complexity=0,
-    max_num_hands=2,
-    min_detection_confidence=0.5,
-    min_tracking_confidence=0.5) as hands:
-  while cap.isOpened():
-    success, image = cap.read()
-    if not success:
-      print("Ignoring empty camera frame.")
-      continue
-
-    # To improve performance, optionally mark the image as not writeable to
-    # pass by reference.
-    image.flags.writeable = False
-    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-    results = hands.process(image)
-
-    # Draw the hand annotations on the image.
-    image.flags.writeable = True
-    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-    if results.multi_hand_landmarks:
-      wt = []
-      for i in range(42 * 3):
-        wt.append(0)
-      for i,hand_landmarks in enumerate(results.multi_hand_landmarks):
-          if (results.multi_handedness[i].classification[0].label)=="Left":
-              num = 0
-          else:
-              num =1
-          for j,handlms in enumerate(hand_landmarks.landmark):
-              wt[num*21*3+j*3],wt[num*21*3+j*3+1],wt[num*21*3+j*3+2] = handlms.x, handlms.y, handlms.z
-          mp_drawing.draw_landmarks(
-              image,
-              hand_landmarks,
-              mp_hands.HAND_CONNECTIONS,
-              mp_drawing_styles.get_default_hand_landmarks_style(),
-              mp_drawing_styles.get_default_hand_connections_style())
-    # Flip the image horizontally for a selfie-view display.
-    cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))
-    ctl = cv2.waitKey(5)
-    if ctl == ord('q'):
-      break
-    elif ctl==ord('s'):
-        strs=""
-        print(wt)
-        for i in wt:
-            strs+=str(i)[:7]+","
-        strs = strs[:-1]
-        # print(strs)
-cap.release()
-
-
-print ("数据插入成功")

src/p1/remote/send.py

@@ -1,116 +0,0 @@
-# limit the number of cpus used by high performance libraries
-import sys
-import os
-import subprocess
-from concurrent.futures import ThreadPoolExecutor
-
-os.environ["OMP_NUM_THREADS"] = "1"
-os.environ["OPENBLAS_NUM_THREADS"] = "1"
-os.environ["MKL_NUM_THREADS"] = "1"
-os.environ["VECLIB_MAXIMUM_THREADS"] = "1"
-os.environ["NUMEXPR_NUM_THREADS"] = "1"
-
-sys.path.insert(0, './yolov5')
-
-import socket
-
-sk = socket.socket()
-address = ('', 12001)
-sk.bind(address)  # 将本地地址与一个socket绑定在一起
-sk.listen(3)  # 最多允许有3个客户称呼
-l_x, l_y, l_z = 69, 69, 81
-target = 1000000
-# 1440 1088
-# #######################################################################################################################
-import cv2
-
-input_video="rtmp://127.0.0.1/myapp/demo"
-#读取视频并获取视频帧率、分辨率、总帧数
-VideoCapture = cv2.VideoCapture(input_video)
-fps = VideoCapture.get(cv2.CAP_PROP_FPS)
-size = (int(VideoCapture.get(cv2.CAP_PROP_FRAME_WIDTH)),
-        int(VideoCapture.get(cv2.CAP_PROP_FRAME_HEIGHT)))
-totalFrames = int(VideoCapture.get(7))
-
-#创建新视频
-
-x=10 #水印坐标
-y=10 #水印坐标
-i=1
-step_x=5
-step_y=5
-
-success,frame = VideoCapture.read() #读取视频第一帧
-print("第"+str(i)+"帧, 共"+str(totalFrames)+"帧")
-
-threadPool = ThreadPoolExecutor(
-    max_workers=500, thread_name_prefix="push_stream_")
-
-def push_stream(pipe, frame):
-    pipe.stdin.write(frame.tobytes())
-
-while success:
-        stream_fps = int(fps * 2)
-
-        rtmp = "rtmp://127.0.0.1:1935/myapp/demo2"
-
-        command = ['ffmpeg',
-                   '-y',
-                   '-f', 'rawvideo',
-                   '-vcodec', 'rawvideo',
-                   '-pix_fmt', 'bgr24',
-                   '-s', "{}x{}".format(size[0],
-                                        size[1]),
-                   '-r', str(stream_fps),
-                   '-i', '-',
-                   '-c:v', 'libx264',
-                   '-pix_fmt', 'yuv420p',
-                   '-preset', 'ultrafast',
-                   '-max_delay', '2000',  # 100
-                   '-g', str(int(fps)),
-                   '-b:v', '99999999',
-                   '-f', 'flv',
-                   '-vprofile', 'baseline',
-                   rtmp]
-
-        pipe = subprocess.Popen(command, stdin=subprocess.PIPE)
-
-        if True:
-                threadPool.submit(push_stream, pipe, frame)
-        success,frame = VideoCapture.read()
-
-
-print ('Quitted!') #提示程序已停止
-cv2.destroyAllWindows() #程序停止前关闭所有窗口
-
-def detect(opt):
-    # 获取输出文件夹，输入源，权重，参数等参数
-
-    # stream_fps = 30 if dataset.fps[0] * 2 > 30 else dataset.fps[0]*2
-    stream_fps = int(fps * 2)
-
-    rtmp = "rtmp:127.0.0.1/vediostream/livestream"
-
-    command = ['ffmpeg',
-               '-y',
-               '-f', 'rawvideo',
-               '-vcodec', 'rawvideo',
-               '-pix_fmt', 'bgr24',
-               '-s', "{}x{}".format(size[0],
-                                    size[1]),
-               '-r', str(stream_fps),
-               '-i', '-',
-               '-c:v', 'libx264',
-               '-pix_fmt', 'yuv420p',
-               '-preset', 'ultrafast',
-               '-max_delay', '2000',  # 100
-               '-g', str(int(fps)),
-               '-b:v', '99999999',
-               '-f', 'flv',
-               '-vprofile', 'baseline',
-               rtmp]
-
-    pipe = subprocess.Popen(command, stdin=subprocess.PIPE)
-
-    if True:
-        threadPool.submit(push_stream, pipe, frame)

src/p1/remote/send_img.py

@@ -1,59 +0,0 @@
-# -*- coding=utf-8 -*-
-
-"""
-file: send.py
-socket client
-"""
-
-import socket
-import os
-import sys
-import struct
-import cv2
-
-capture = cv2.VideoCapture(0)
-
-
-def socket_client():
-    try:
-        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-        s.connect(('127.0.0.1', 6666))
-    except socket.error as msg:
-        print(msg)
-        sys.exit(1)
-
-    print(s.recv(1024).decode("utf-8"))
-
-    while 1:
-
-        filepath = "./demo.png"  # 获取选择的文件名称
-        print(filepath)
-
-        # filepath = input('please input file path: ')
-        if os.path.isfile(filepath):
-            # 定义定义文件信息。128s表示文件名为128bytes长，l表示一个int或log文件类型，在此为文件大小
-            fileinfo_size = struct.calcsize('128sl')
-            # 定义文件头信息，包含文件名和文件大小
-            fhead = struct.pack(
-                '128sl',
-                os.path.basename(filepath).encode(encoding="utf-8"),
-                os.stat(filepath).st_size
-            )
-            print('client filepath: {0}'.format(filepath))
-            s.send(fhead)
-
-            fp = open(filepath, 'rb')
-            while 1:
-                data = fp.read(1024)
-                if not data:
-                    print('{0} file send over...'.format(filepath))
-                    break
-                s.send(data)
-        print(s.recv(1024).decode("utf-8"))
-        print(s.recv(1024).decode("utf-8"))
-        s.close()
-        break
-
-
-if __name__ == '__main__':
-    socket_client()

src/p1/remote/track_3.py

@@ -1,510 +0,0 @@
-# limit the number of cpus used by high performance libraries
-import sys
-import os
-from threading import Thread
-
-from sympy import false
-os.environ["OMP_NUM_THREADS"] = "1"
-os.environ["OPENBLAS_NUM_THREADS"] = "1"
-os.environ["MKL_NUM_THREADS"] = "1"
-os.environ["VECLIB_MAXIMUM_THREADS"] = "1"
-os.environ["NUMEXPR_NUM_THREADS"] = "1"
-
-
-sys.path.insert(0, './yolov5')
-
-import subprocess
-from yolov5.utils.torch_utils import select_device, time_sync
-from yolov5.utils.plots import Annotator, colors, save_one_box
-from yolov5.utils.general import (LOGGER, check_img_size, check_imshow,
-                                  colorstr, increment_path,
-                                  non_max_suppression, scale_coords,
-                                  strip_optimizer, xyxy2xywh)
-from yolov5.utils.downloads import attempt_download
-from yolov5.utils.datasets import VID_FORMATS, LoadImages, LoadStreams
-from yolov5.models.experimental import attempt_load
-from yolov5.models.common import DetectMultiBackend
-from deep_sort.utils.parser import get_config
-from deep_sort.deep_sort import DeepSort
-import torch.backends.cudnn as cudnn
-import torch
-import numpy as np
-import cv2
-from pathlib import Path
-import time
-import shutil
-import platform
-import argparse
-
-from concurrent.futures import ThreadPoolExecutor
-
-import socket
-
-sk = socket.socket()
-address = ('', 12001)
-sk.bind(address)  # 将本地地址与一个socket绑定在一起
-sk.listen(3)  # 最多允许有3个客户称呼
-l_x,l_y,l_z=69,69,81
-target=1000000
-def recv():
-    while True:
-        conn, addr = sk.accept()
-        global target
-        data = conn.recv(1024)  # 缓冲区大小，接收文件的个数               第一次获取请求
-        target = data.decode('utf-8')
-        LOGGER.info(target)
-
-# 1440 1088
-# #########################################################################################################################
-def find(bbox,img_size):
-    global l_x,l_y,l_z
-    x = (bbox[0]+bbox[2])//2
-    z = (bbox[1]+bbox[3])//2
-    y = (bbox[3]-bbox[1])
-    c_x=69
-    if x < 426:
-        c_x=37
-    elif x < 852:
-        c_x = 69
-    else:
-        c_x = 39
-
-
-    c_z = 81
-    if z < 426:
-        c_z = 87
-    elif z < 852:
-        c_z = 81
-    else:
-        c_z = 83
-
-    c_y = 69
-    if y < 320:
-        c_y=38
-    elif y <640:
-        c_y=69
-    else:
-        c_y=40
-
-
-    print(" ")
-    print(c_x," ",c_y," ",c_z)
-    print(" ")
-    send_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-    
-    if l_x!=69:
-        send_socket.connect(("", 12000))
-        send_socket.send(str(c_x).encode('utf-8'))
-        print("cx:", c_x)
-    elif l_y!=69:
-        send_socket.connect(("", 12000))
-        send_socket.send(str(c_y).encode('utf-8'))
-        print("cy:", c_y)
-    elif l_z!=81:
-        send_socket.connect(("", 12000))
-        send_socket.send(str(c_z).encode('utf-8'))
-        print("cz:",c_z)
-    l_x = c_x
-    l_y = c_y
-    l_z = c_z
-
-threadPool = ThreadPoolExecutor(
-    max_workers=500, thread_name_prefix="push_stream_")
-
-FILE = Path(__file__).resolve()
-ROOT = FILE.parents[0]  # yolov5 deepsort root directory
-if str(ROOT) not in sys.path:
-    sys.path.append(str(ROOT))  # add ROOT to PATH
-ROOT = Path(os.path.relpath(ROOT, Path.cwd()))  # relative
-
-
-def push_stream(pipe, frame):
-    pipe.stdin.write(frame.tobytes())
-
-
-def detect(opt):
-    # 获取输出文件夹，输入源，权重，参数等参数
-    out, source, yolo_model, deep_sort_model, show_vid, show_stream, save_vid, save_txt, imgsz, evaluate, half, \
-        project, exist_ok, update, save_crop = \
-        opt.output, opt.source, opt.yolo_model, opt.deep_sort_model, opt.show_vid, opt.show_stream, opt.save_vid, \
-        opt.save_txt, opt.imgsz, opt.evaluate, opt.half, opt.project, opt.exist_ok, opt.update, opt.save_crop
-    # print(source)
-    webcam = source == '0' or source.startswith(
-        'rtsp') or source.startswith('http') or source.endswith('.txt')
-    rtmp_stream = source.startswith('rtmp')
-
-    # Initialize
-    # 获取设备
-    device = select_device(opt.device)
-    # /////////////////////////////////////////////////////////////////////////#
-    # 如果设备为gpu，使用Float16
-    half &= device.type != 'cpu'  # half precision only supported on CUDA
-    # half &= device.type != 'gpu'  # half precision only supported on CUDA
-    # /////////////////////////////////////////////////////////////////////////#
-
-    # The MOT16 evaluation runs multiple inference streams in parallel, each one writing to
-    # its own .txt file. Hence, in that case, the output folder is not restored
-    if not evaluate:
-        if os.path.exists(out):
-            pass
-            shutil.rmtree(out)  # delete output folder
-        os.makedirs(out)  # make new output folder
-
-    # Directories
-    if type(yolo_model) is str:  # single yolo model
-        exp_name = yolo_model.split(".")[0]
-    elif type(yolo_model) is list and len(yolo_model) == 1:  # single models after --yolo_model
-        exp_name = yolo_model[0].split(".")[0]
-    else:  # multiple models after --yolo_model
-        exp_name = "ensemble"
-    exp_name = exp_name + "_" + deep_sort_model.split('/')[-1].split('.')[0]
-    # increment run if project name exists
-    save_dir = increment_path(Path(project) / exp_name, exist_ok=exist_ok)
-    (save_dir / 'tracks' if save_txt else save_dir).mkdir(parents=True,
-                                                          exist_ok=True)  # make dir
-
-    # Load model
-    model = DetectMultiBackend(yolo_model, device=device, dnn=opt.dnn)
-    stride, names, pt = model.stride, model.names, model.pt
-    imgsz = check_img_size(imgsz, s=stride)  # check image size
-
-    # Half
-    # half precision only supported by PyTorch on CUDA
-    half &= pt and device.type != 'cpu'
-    if pt:
-        model.model.half() if half else model.model.float()
-
-    # Set Dataloader
-    # 通过不同的输入源来设置不同的数据加载方式
-    vid_path, vid_writer = None, None
-    # Check if environment supports image displays
-    if show_vid:
-        show_vid = check_imshow()
-
-    if show_stream:
-        show_stream = check_imshow()
-
-    # Dataloader
-    if webcam:
-        show_vid = check_imshow()
-        cudnn.benchmark = True  # set True to speed up constant image size inference
-        dataset = LoadStreams(source, img_size=imgsz, stride=stride, auto=pt)
-        nr_sources = len(dataset)
-    elif rtmp_stream:
-        cudnn.benchmark = True
-        dataset = LoadStreams(source, img_size=imgsz, stride=stride, auto=pt)
-        nr_sources = len(dataset)
-    else:
-        dataset = LoadImages(source, img_size=imgsz, stride=stride, auto=pt)
-        nr_sources = 1
-    vid_path, vid_writer, txt_path = [
-        None] * nr_sources, [None] * nr_sources, [None] * nr_sources
-    th = Thread(target=recv)
-    th.start()
-    # initialize deepsort
-    cfg = get_config()
-    cfg.merge_from_file(opt.config_deepsort)
-
-    # Create as many trackers as there are video sources
-    deepsort_list = []
-    for i in range(nr_sources):
-        deepsort_list.append(
-            DeepSort(
-                deep_sort_model,
-                device,
-                max_dist=cfg.DEEPSORT.MAX_DIST,
-                max_iou_distance=cfg.DEEPSORT.MAX_IOU_DISTANCE,
-                max_age=cfg.DEEPSORT.MAX_AGE, n_init=cfg.DEEPSORT.N_INIT, nn_budget=cfg.DEEPSORT.NN_BUDGET,
-            )
-        )
-    outputs = [None] * nr_sources
-
-    # Get names and colors
-    names = model.module.names if hasattr(model, 'module') else model.names
-
-    # Run tracking
-    model.warmup(imgsz=(1 if pt else nr_sources, 3, *imgsz))  # warmup
-    dt, seen = [0.0, 0.0, 0.0, 0.0], 0
-
-    print(dataset.vediosize)
-    # stream_fps = 30 if dataset.fps[0] * 2 > 30 else dataset.fps[0]*2
-    stream_fps = int(dataset.fps[0]*2)
-    tmp_g = int(dataset.fps[0]/4)
-    print(stream_fps)
-
-    rtmp = "rtmp:127.0.0.1/vediostream/livestream"
-    command = ['ffmpeg',
-               '-y',
-               '-f', 'rawvideo',
-               '-vcodec', 'rawvideo',
-               '-pix_fmt', 'bgr24',
-               '-s', "{}x{}".format(dataset.vediosize[0],
-                                    dataset.vediosize[1]),
-               '-r', str(stream_fps),
-               '-i', '-',
-               '-c:v', 'libx264',
-               '-pix_fmt', 'yuv420p',
-               '-preset', 'ultrafast',
-               '-max_delay', '2000',  # 100
-               '-g', str(int(dataset.fps[0])),
-               '-b:v', '99999999',
-               '-f', 'flv',
-               '-vprofile', 'baseline',
-               rtmp]
-
-    pipe = subprocess.Popen(command, stdin=subprocess.PIPE)
-
-    # fourcc = cv2.VideoWriter_fourcc('F','L','V','1') #opencv3.0
-    # videoWriter = cv2.VideoWriter('output2.mp4', fourcc, 24, (1280, 536))
-
-    count_frame = 0
-    """
-    path 图片/视频路径
-    img进行resize+pad之后的图片
-    im0s 原size图片
-    vid_cap 当读取图片时为None，读取视频时为视频源
-    """
-    for frame_idx, (path, im, im0s, vid_cap, s) in enumerate(dataset):
-        count_frame += 1
-        t1 = time_sync()
-        im = torch.from_numpy(im).to(device)
-        im = im.half() if half else im.float()  # uint8 to fp16/32
-        im /= 255.0  # 0 - 255 to 0.0 - 1.0
-        if len(im.shape) == 3:
-            im = im[None]  # expand for batch dim
-        t2 = time_sync()
-        dt[0] += t2 - t1
-
-        # Inference
-        visualize = increment_path(
-            save_dir / Path(path[0]).stem, mkdir=True) if opt.visualize else False
-        """
-        前向传播 返回pred的shape是(1, num_boxes, 5+num_class)
-        h,w为传入网络图片的长和宽，注意dataset在检测时使用了矩形推理，所以这里h不一定等于w
-        num_boxes = h/32 * w/32 + h/16 * w/16 + h/8 * w/8
-        pred[..., 0:4]为预测框坐标
-        预测框坐标为xywh(中心点+宽长)格式
-        pred[..., 4]为objectness置信度
-        pred[..., 5:-1]为分类结果
-        """
-        pred = model(im, augment=opt.augment, visualize=visualize)
-        t3 = time_sync()
-        dt[1] += t3 - t2
-
-        # Apply NMS
-        """
-        pred:前向传播的输出
-        conf_thres:置信度阈值
-        iou_thres:iou阈值
-        classes:是否只保留特定的类别
-        agnostic:进行nms是否也去除不同类别之间的框
-        经过nms之后,预测框格式:xywh-->xyxy(左上角右下角)
-        pred是一个列表list[torch.tensor],长度为batch_size
-        每一个torch.tensor的shape为(num_boxes, 6),内容为box+conf+cls
-        """
-        pred = non_max_suppression(
-            pred, opt.conf_thres, opt.iou_thres, opt.classes, opt.agnostic_nms, max_det=opt.max_det)
-        dt[2] += time_sync() - t3
-
-        # Process detections
-        # 对每一张图片作处理
-        for i, det in enumerate(pred):  # detections per image
-            seen += 1
-            # 如果输入源是webcam，则batch_size不为1，取出dataset中的一张图片
-            if webcam:  # nr_sources >= 1
-                p, im0, _ = path[i], im0s[i].copy(), dataset.count
-                p = Path(p)  # to Path
-                s += f'{i}: '
-                # 设置保存框坐标txt文件的路径
-                txt_file_name = p.name
-                # 设置保存图片/视频的路径
-                save_path = str(save_dir / p.name)  # im.jpg, vid.mp4, ...
-            elif rtmp_stream:
-                p, im0, _ = path[i], im0s[i].copy(), dataset.count
-                p = Path(p)  # to Path
-                s += f'{i}: '
-                # 设置保存框坐标txt文件的路径
-                txt_file_name = p.name
-                # 设置保存图片/视频的路径
-                save_path = str(save_dir / p.name)
-            else:
-                p, im0, _ = path, im0s.copy(), getattr(dataset, 'frame', 0)
-                p = Path(p)  # to Path
-                # video file
-                if source.endswith(VID_FORMATS):
-                    # 设置保存框坐标txt文件的路径
-                    txt_file_name = p.stem
-                    # 设置保存图片/视频的路径
-                    save_path = str(save_dir / p.name)  # im.jpg, vid.mp4, ...
-                # folder with imgs
-                else:
-                    # 设置保存框坐标txt文件的路径
-                    txt_file_name = p.parent.name  # get folder name containing current img
-                    # 设置保存图片/视频的路径
-                    # im.jpg, vid.mp4, ...
-                    save_path = str(save_dir / p.parent.name)
-            # 设置保存图片/视频的路径
-            txt_path = str(save_dir / 'tracks' / txt_file_name)  # im.txt
-            # 设置打印信息(图片长宽)
-            s += '%gx%g ' % im.shape[2:]  # print string
-            imc = im0.copy() if save_crop else im0  # for save_crop
-
-            annotator = Annotator(im0, line_width=2, pil=not ascii)
-
-            if det is not None and len(det):
-                # Rescale boxes from img_size to im0 size
-                # 调整预测框的坐标：基于resize+pad的图片的坐标-->基于原size图片的坐标
-                # 此时坐标格式为xyxy
-                det[:, :4] = scale_coords(
-                    im.shape[2:], det[:, :4], im0.shape).round()
-
-                # Print results
-                # 打印检测到的类别数量
-                for c in det[:, -1].unique():
-                    n = (det[:, -1] == c).sum()  # detections per class
-                    # add to string
-                    s += f"{n} {names[int(c)]}{'s' * (n > 1)}, "
-
-                xywhs = xyxy2xywh(det[:, 0:4])
-                confs = det[:, 4]
-                clss = det[:, 5]
-
-                # pass detections to deepsort
-                t4 = time_sync()
-                outputs[i] = deepsort_list[i].update(
-                    xywhs.cpu(), confs.cpu(), clss.cpu(), im0)
-                t5 = time_sync()
-                dt[3] += t5 - t4
-
-                # draw boxes for visualization
-                # 保存预测结果id 4 
-                if len(outputs[i]) > 0:
-                    # LOGGER.info("开始寻找"+str(target))
-                    for j, (output, conf) in enumerate(zip(outputs[i], confs)):
-
-                        bboxes = output[0:4]
-                        id = output[4]
-                        if int(id)==int(target):
-                            find(bboxes, dataset.vediosize)
-                            LOGGER.info("开始跟踪目标")
-                            
-                        cls = output[5]
-
-                        if save_txt:
-                            # to MOT format
-                            bbox_left = output[0]
-                            bbox_top = output[1]
-                            bbox_w = output[2] - output[0]
-                            bbox_h = output[3] - output[1]
-                            # Write MOT compliant results to file
-                            # with open(txt_path + '.txt', 'a') as f:
-                            #     f.write(('%g ' * 10 + '\n') % (frame_idx + 1, id, bbox_left,  # MOT format
-                            #                                    bbox_top, bbox_w, bbox_h, -1, -1, -1, i))
-                        # 在原图上画框
-                        if save_vid or save_crop or show_vid or show_stream:  # Add bbox to image
-                            c = int(cls)  # integer class
-                            label = f'{id} {names[c]} {conf:.2f}'
-                            annotator.box_label(
-                                bboxes, label, color=colors(c, True))
-                            if save_crop:
-                                txt_file_name = txt_file_name if (
-                                    isinstance(path, list) and len(path) > 1) else ''
-                                save_one_box(bboxes, imc, file=save_dir / 'crops' /
-                                             txt_file_name / names[c] / f'{id}' / f'{p.stem}.jpg', BGR=True)
-
-                # LOGGER.info(
-                #     f'{s}Done. YOLO:({t3 - t2:.3f}s), DeepSort:({t5 - t4:.3f}s)')
-            else:
-                deepsort_list[i].increment_ages()
-                # LOGGER.info('No detections')
-
-            # Stream results
-            im0 = annotator.result()
-
-            # 如果设置展示，则show图片/视频
-            if show_vid:
-                cv2.imshow(str(p), im0)
-                cv2.waitKey(1)  # 1 millisecond
-                # pass
-
-            # ############################################
-            if show_stream:
-                # print()
-                threadPool.submit(push_stream, pipe, im0)
-                # pipe.stdin.write(im0.tobytes())
-                # videoWriter.write(im0)
-
-            # ############################################
-
-            # Save results (image with detections)
-             # 设置保存图片/视频
-            if save_vid:
-                if vid_path[i] != save_path:  # new video
-                    vid_path[i] = save_path
-                    if isinstance(vid_writer[i], cv2.VideoWriter):
-                        # release previous video writer
-                        vid_writer[i].release()
-                    if vid_cap:  # video
-                        fps = vid_cap.get(cv2.CAP_PROP_FPS)
-                        w = int(vid_cap.get(cv2.CAP_PROP_FRAME_WIDTH))
-                        h = int(vid_cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
-                    else:  # stream
-                        fps, w, h = 30, im0.shape[1], im0.shape[0]
-                    # force *.mp4 suffix on results videos
-                    save_path = str(Path(save_path).with_suffix('.mp4'))
-                    vid_writer[i] = cv2.VideoWriter(
-                        save_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h))
-                vid_writer[i].write(im0)
-        time.sleep(0.02)
-    print("Sum is:", count_frame)
-    # Print results
-    t = tuple(x / seen * 1E3 for x in dt)  # speeds per image
-    LOGGER.info(f'Speed: %.1fms pre-process, %.1fms inference, %.1fms NMS, %.1fms deep sort update \
-        per image at shape {(1, 3, *imgsz)}' % t)
-    # 打开保存图片和txt的路径(好像只适用于MacOS系统)
-    if save_txt or save_vid:
-        s = f"\n{len(list(save_dir.glob('tracks/*.txt')))} tracks saved to {save_dir / 'tracks'}" if save_txt else ''
-        LOGGER.info(f"Results saved to {colorstr('bold', save_dir)}{s}")
-    if update:
-        # update model (to fix SourceChangeWarning)
-        strip_optimizer(yolo_model)
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser()
-    parser.add_argument('--yolo_model', nargs='+', type=str,
-                        default='best.torchscript', help='model.pt path(s)')
-    parser.add_argument('--deep_sort_model', type=str, default='osnet_x0_75_msmt17')
-    # file/folder, 0 for webcam
-    parser.add_argument('--source', type=str, default='rtmp://localhost/live/livestream', help='source')
-    parser.add_argument('--output', type=str, default='inference/output', help='output folder')  # output folder
-    parser.add_argument('--imgsz', '--img', '--img-size', nargs='+', type=int, default=[640], help='inference size h,w')
-    parser.add_argument('--conf-thres', type=float, default=0.25, help='object confidence threshold')
-    parser.add_argument('--iou-thres', type=float, default=0.5, help='IOU threshold for NMS')
-    parser.add_argument('--fourcc', type=str, default='mp4v',  help='output video codec (verify ffmpeg support)')
-    parser.add_argument('--device', default='',  help='cuda device, i.e. 0 or 0,1,2,3 or cpu')
-    parser.add_argument('--show-vid', action='store_true',   help='display tracking video results')
-    parser.add_argument('--show-stream', action='store_true',  help='display tracking video stream results')
-    parser.add_argument('--save-vid', action='store_true',  help='save video tracking results')
-    parser.add_argument('--save-txt', action='store_true',  help='save MOT compliant results to *.txt')
-    # class 0 is person, 1 is bycicle, 2 is car... 79 is oven
-    parser.add_argument('--classes', default='25', nargs='+', type=int, help='filter by class: --class 0, or --class 16 17')
-    parser.add_argument('--agnostic-nms', action='store_true', help='class-agnostic NMS')
-    parser.add_argument('--augment', action='store_true', help='augmented inference')
-    parser.add_argument('--update', action='store_true', help='update all models')
-    parser.add_argument('--evaluate', action='store_true', help='augmented inference')
-    parser.add_argument("--config_deepsort", type=str, default="deep_sort/configs/deep_sort.yaml")
-    parser.add_argument("--half", action="store_true", help="use FP16 half-precision inference")
-    parser.add_argument('--visualize', action='store_true', help='visualize features')
-    parser.add_argument('--max-det', type=int, default=1000, help='maximum detection per image')
-    parser.add_argument('--save-crop', action='store_true', help='save cropped prediction boxes')
-    parser.add_argument('--dnn', action='store_true', help='use OpenCV DNN for ONNX inference')
-    parser.add_argument('--project', default=ROOT /
-                        'runs/track', help='save results to project/name')
-    parser.add_argument('--name', default='exp', help='save results to project/name')
-    parser.add_argument('--exist-ok', action='store_true', help='existing project/name ok, do not increment')
-    opt = parser.parse_args()
-    opt.imgsz *= 2 if len(opt.imgsz) == 1 else 1  # expand
-
-    with torch.no_grad():
-        detect(opt)

src/p1/tools/calculator_options_pb2.py

@@ -1,72 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: mediapipe/framework/calculator_options.proto
-
-import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-  name='mediapipe/framework/calculator_options.proto',
-  package='mediapipe',
-  syntax='proto2',
-  serialized_options=_b('\n\032com.google.mediapipe.protoB\026CalculatorOptionsProto'),
-  serialized_pb=_b('\n,mediapipe/framework/calculator_options.proto\x12\tmediapipe\"9\n\x11\x43\x61lculatorOptions\x12\x18\n\x0cmerge_fields\x18\x01 \x01(\x08\x42\x02\x18\x01*\n\x08\xa0\x9c\x01\x10\x80\x80\x80\x80\x02\x42\x34\n\x1a\x63om.google.mediapipe.protoB\x16\x43\x61lculatorOptionsProto')
-)
-
-
-
-
-_CALCULATOROPTIONS = _descriptor.Descriptor(
-  name='CalculatorOptions',
-  full_name='mediapipe.CalculatorOptions',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='merge_fields', full_name='mediapipe.CalculatorOptions.merge_fields', index=0,
-      number=1, type=8, cpp_type=7, label=1,
-      has_default_value=False, default_value=False,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=_b('\030\001'), file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=True,
-  syntax='proto2',
-  extension_ranges=[(20000, 536870912), ],
-  oneofs=[
-  ],
-  serialized_start=59,
-  serialized_end=116,
-)
-
-DESCRIPTOR.message_types_by_name['CalculatorOptions'] = _CALCULATOROPTIONS
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-CalculatorOptions = _reflection.GeneratedProtocolMessageType('CalculatorOptions', (_message.Message,), dict(
-  DESCRIPTOR = _CALCULATOROPTIONS,
-  __module__ = 'mediapipe.framework.calculator_options_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.CalculatorOptions)
-  ))
-_sym_db.RegisterMessage(CalculatorOptions)
-
-
-DESCRIPTOR._options = None
-_CALCULATOROPTIONS.fields_by_name['merge_fields']._options = None
-# @@protoc_insertion_point(module_scope)

src/p1/tools/calculator_pb2.py

@@ -1,786 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: mediapipe/framework/calculator.proto
-
-import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-from mediapipe.framework import calculator_options_pb2 as mediapipe_dot_framework_dot_calculator__options__pb2
-from google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2
-from mediapipe.framework import mediapipe_options_pb2 as mediapipe_dot_framework_dot_mediapipe__options__pb2
-from mediapipe.framework import packet_factory_pb2 as mediapipe_dot_framework_dot_packet__factory__pb2
-from mediapipe.framework import packet_generator_pb2 as mediapipe_dot_framework_dot_packet__generator__pb2
-from mediapipe.framework import status_handler_pb2 as mediapipe_dot_framework_dot_status__handler__pb2
-from mediapipe.framework import stream_handler_pb2 as mediapipe_dot_framework_dot_stream__handler__pb2
-
-from mediapipe.framework.calculator_options_pb2 import *
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-  name='mediapipe/framework/calculator.proto',
-  package='mediapipe',
-  syntax='proto3',
-  serialized_options=_b('\n\032com.google.mediapipe.protoB\017CalculatorProto'),
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-  ,
-  dependencies=[mediapipe_dot_framework_dot_calculator__options__pb2.DESCRIPTOR,google_dot_protobuf_dot_any__pb2.DESCRIPTOR,mediapipe_dot_framework_dot_mediapipe__options__pb2.DESCRIPTOR,mediapipe_dot_framework_dot_packet__factory__pb2.DESCRIPTOR,mediapipe_dot_framework_dot_packet__generator__pb2.DESCRIPTOR,mediapipe_dot_framework_dot_status__handler__pb2.DESCRIPTOR,mediapipe_dot_framework_dot_stream__handler__pb2.DESCRIPTOR,],
-  public_dependencies=[mediapipe_dot_framework_dot_calculator__options__pb2.DESCRIPTOR,])
-
-
-
-_INPUTCOLLECTION_INPUTTYPE = _descriptor.EnumDescriptor(
-  name='InputType',
-  full_name='mediapipe.InputCollection.InputType',
-  filename=None,
-  file=DESCRIPTOR,
-  values=[
-    _descriptor.EnumValueDescriptor(
-      name='UNKNOWN', index=0, number=0,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='RECORDIO', index=1, number=1,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='FOREIGN_RECORDIO', index=2, number=2,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='FOREIGN_CSV_TEXT', index=3, number=3,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='INVALID_UPPER_BOUND', index=4, number=4,
-      serialized_options=None,
-      type=None),
-  ],
-  containing_type=None,
-  serialized_options=None,
-  serialized_start=598,
-  serialized_end=705,
-)
-_sym_db.RegisterEnumDescriptor(_INPUTCOLLECTION_INPUTTYPE)
-
-
-_EXECUTORCONFIG = _descriptor.Descriptor(
-  name='ExecutorConfig',
-  full_name='mediapipe.ExecutorConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='mediapipe.ExecutorConfig.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='type', full_name='mediapipe.ExecutorConfig.type', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='options', full_name='mediapipe.ExecutorConfig.options', index=2,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
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-  nested_types=[],
-  enum_types=[
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-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=339,
-  serialized_end=429,
-)
-
-
-_INPUTCOLLECTION = _descriptor.Descriptor(
-  name='InputCollection',
-  full_name='mediapipe.InputCollection',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='mediapipe.InputCollection.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='side_packet_name', full_name='mediapipe.InputCollection.side_packet_name', index=1,
-      number=2, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='external_input_name', full_name='mediapipe.InputCollection.external_input_name', index=2,
-      number=1002, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_type', full_name='mediapipe.InputCollection.input_type', index=3,
-      number=3, type=14, cpp_type=8, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='file_name', full_name='mediapipe.InputCollection.file_name', index=4,
-      number=4, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-    _INPUTCOLLECTION_INPUTTYPE,
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=432,
-  serialized_end=705,
-)
-
-
-_INPUTCOLLECTIONSET = _descriptor.Descriptor(
-  name='InputCollectionSet',
-  full_name='mediapipe.InputCollectionSet',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='input_collection', full_name='mediapipe.InputCollectionSet.input_collection', index=0,
-      number=1, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=707,
-  serialized_end=781,
-)
-
-
-_INPUTSTREAMINFO = _descriptor.Descriptor(
-  name='InputStreamInfo',
-  full_name='mediapipe.InputStreamInfo',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='tag_index', full_name='mediapipe.InputStreamInfo.tag_index', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='back_edge', full_name='mediapipe.InputStreamInfo.back_edge', index=1,
-      number=2, type=8, cpp_type=7, label=1,
-      has_default_value=False, default_value=False,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
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-  nested_types=[],
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-  oneofs=[
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-  serialized_start=783,
-  serialized_end=838,
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-
-
-_PROFILERCONFIG = _descriptor.Descriptor(
-  name='ProfilerConfig',
-  full_name='mediapipe.ProfilerConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='histogram_interval_size_usec', full_name='mediapipe.ProfilerConfig.histogram_interval_size_usec', index=0,
-      number=1, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='num_histogram_intervals', full_name='mediapipe.ProfilerConfig.num_histogram_intervals', index=1,
-      number=2, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='enable_input_output_latency', full_name='mediapipe.ProfilerConfig.enable_input_output_latency', index=2,
-      number=3, type=8, cpp_type=7, label=1,
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-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=_b('\030\001'), file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='enable_profiler', full_name='mediapipe.ProfilerConfig.enable_profiler', index=3,
-      number=4, type=8, cpp_type=7, label=1,
-      has_default_value=False, default_value=False,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
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-    _descriptor.FieldDescriptor(
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-    _descriptor.FieldDescriptor(
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-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
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-    _descriptor.FieldDescriptor(
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-      is_extension=False, extension_scope=None,
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-      number=18, type=9, cpp_type=9, label=1,
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-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=841,
-  serialized_end=1434,
-)
-
-
-_CALCULATORGRAPHCONFIG_NODE = _descriptor.Descriptor(
-  name='Node',
-  full_name='mediapipe.CalculatorGraphConfig.Node',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='mediapipe.CalculatorGraphConfig.Node.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='calculator', full_name='mediapipe.CalculatorGraphConfig.Node.calculator', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_stream', full_name='mediapipe.CalculatorGraphConfig.Node.input_stream', index=2,
-      number=3, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='output_stream', full_name='mediapipe.CalculatorGraphConfig.Node.output_stream', index=3,
-      number=4, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_side_packet', full_name='mediapipe.CalculatorGraphConfig.Node.input_side_packet', index=4,
-      number=5, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='output_side_packet', full_name='mediapipe.CalculatorGraphConfig.Node.output_side_packet', index=5,
-      number=6, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='options', full_name='mediapipe.CalculatorGraphConfig.Node.options', index=6,
-      number=7, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='node_options', full_name='mediapipe.CalculatorGraphConfig.Node.node_options', index=7,
-      number=8, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='source_layer', full_name='mediapipe.CalculatorGraphConfig.Node.source_layer', index=8,
-      number=9, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='buffer_size_hint', full_name='mediapipe.CalculatorGraphConfig.Node.buffer_size_hint', index=9,
-      number=10, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_stream_handler', full_name='mediapipe.CalculatorGraphConfig.Node.input_stream_handler', index=10,
-      number=11, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='output_stream_handler', full_name='mediapipe.CalculatorGraphConfig.Node.output_stream_handler', index=11,
-      number=12, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_stream_info', full_name='mediapipe.CalculatorGraphConfig.Node.input_stream_info', index=12,
-      number=13, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='executor', full_name='mediapipe.CalculatorGraphConfig.Node.executor', index=13,
-      number=14, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='profiler_config', full_name='mediapipe.CalculatorGraphConfig.Node.profiler_config', index=14,
-      number=15, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=_b('\030\001'), file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='max_in_flight', full_name='mediapipe.CalculatorGraphConfig.Node.max_in_flight', index=15,
-      number=16, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='option_value', full_name='mediapipe.CalculatorGraphConfig.Node.option_value', index=16,
-      number=17, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='external_input', full_name='mediapipe.CalculatorGraphConfig.Node.external_input', index=17,
-      number=1005, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=2215,
-  serialized_end=2829,
-)
-
-_CALCULATORGRAPHCONFIG = _descriptor.Descriptor(
-  name='CalculatorGraphConfig',
-  full_name='mediapipe.CalculatorGraphConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='node', full_name='mediapipe.CalculatorGraphConfig.node', index=0,
-      number=1, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='packet_factory', full_name='mediapipe.CalculatorGraphConfig.packet_factory', index=1,
-      number=6, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='packet_generator', full_name='mediapipe.CalculatorGraphConfig.packet_generator', index=2,
-      number=7, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='num_threads', full_name='mediapipe.CalculatorGraphConfig.num_threads', index=3,
-      number=8, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='status_handler', full_name='mediapipe.CalculatorGraphConfig.status_handler', index=4,
-      number=9, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_stream', full_name='mediapipe.CalculatorGraphConfig.input_stream', index=5,
-      number=10, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='output_stream', full_name='mediapipe.CalculatorGraphConfig.output_stream', index=6,
-      number=15, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_side_packet', full_name='mediapipe.CalculatorGraphConfig.input_side_packet', index=7,
-      number=16, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='output_side_packet', full_name='mediapipe.CalculatorGraphConfig.output_side_packet', index=8,
-      number=17, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='max_queue_size', full_name='mediapipe.CalculatorGraphConfig.max_queue_size', index=9,
-      number=11, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='report_deadlock', full_name='mediapipe.CalculatorGraphConfig.report_deadlock', index=10,
-      number=21, type=8, cpp_type=7, label=1,
-      has_default_value=False, default_value=False,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_stream_handler', full_name='mediapipe.CalculatorGraphConfig.input_stream_handler', index=11,
-      number=12, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='output_stream_handler', full_name='mediapipe.CalculatorGraphConfig.output_stream_handler', index=12,
-      number=13, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='executor', full_name='mediapipe.CalculatorGraphConfig.executor', index=13,
-      number=14, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='profiler_config', full_name='mediapipe.CalculatorGraphConfig.profiler_config', index=14,
-      number=18, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='package', full_name='mediapipe.CalculatorGraphConfig.package', index=15,
-      number=19, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='type', full_name='mediapipe.CalculatorGraphConfig.type', index=16,
-      number=20, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='options', full_name='mediapipe.CalculatorGraphConfig.options', index=17,
-      number=1001, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='graph_options', full_name='mediapipe.CalculatorGraphConfig.graph_options', index=18,
-      number=1002, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[_CALCULATORGRAPHCONFIG_NODE, ],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1437,
-  serialized_end=2829,
-)
-
-_EXECUTORCONFIG.fields_by_name['options'].message_type = mediapipe_dot_framework_dot_mediapipe__options__pb2._MEDIAPIPEOPTIONS
-_INPUTCOLLECTION.fields_by_name['input_type'].enum_type = _INPUTCOLLECTION_INPUTTYPE
-_INPUTCOLLECTION_INPUTTYPE.containing_type = _INPUTCOLLECTION
-_INPUTCOLLECTIONSET.fields_by_name['input_collection'].message_type = _INPUTCOLLECTION
-_CALCULATORGRAPHCONFIG_NODE.fields_by_name['options'].message_type = mediapipe_dot_framework_dot_calculator__options__pb2._CALCULATOROPTIONS
-_CALCULATORGRAPHCONFIG_NODE.fields_by_name['node_options'].message_type = google_dot_protobuf_dot_any__pb2._ANY
-_CALCULATORGRAPHCONFIG_NODE.fields_by_name['input_stream_handler'].message_type = mediapipe_dot_framework_dot_stream__handler__pb2._INPUTSTREAMHANDLERCONFIG
-_CALCULATORGRAPHCONFIG_NODE.fields_by_name['output_stream_handler'].message_type = mediapipe_dot_framework_dot_stream__handler__pb2._OUTPUTSTREAMHANDLERCONFIG
-_CALCULATORGRAPHCONFIG_NODE.fields_by_name['input_stream_info'].message_type = _INPUTSTREAMINFO
-_CALCULATORGRAPHCONFIG_NODE.fields_by_name['profiler_config'].message_type = _PROFILERCONFIG
-_CALCULATORGRAPHCONFIG_NODE.containing_type = _CALCULATORGRAPHCONFIG
-_CALCULATORGRAPHCONFIG.fields_by_name['node'].message_type = _CALCULATORGRAPHCONFIG_NODE
-_CALCULATORGRAPHCONFIG.fields_by_name['packet_factory'].message_type = mediapipe_dot_framework_dot_packet__factory__pb2._PACKETFACTORYCONFIG
-_CALCULATORGRAPHCONFIG.fields_by_name['packet_generator'].message_type = mediapipe_dot_framework_dot_packet__generator__pb2._PACKETGENERATORCONFIG
-_CALCULATORGRAPHCONFIG.fields_by_name['status_handler'].message_type = mediapipe_dot_framework_dot_status__handler__pb2._STATUSHANDLERCONFIG
-_CALCULATORGRAPHCONFIG.fields_by_name['input_stream_handler'].message_type = mediapipe_dot_framework_dot_stream__handler__pb2._INPUTSTREAMHANDLERCONFIG
-_CALCULATORGRAPHCONFIG.fields_by_name['output_stream_handler'].message_type = mediapipe_dot_framework_dot_stream__handler__pb2._OUTPUTSTREAMHANDLERCONFIG
-_CALCULATORGRAPHCONFIG.fields_by_name['executor'].message_type = _EXECUTORCONFIG
-_CALCULATORGRAPHCONFIG.fields_by_name['profiler_config'].message_type = _PROFILERCONFIG
-_CALCULATORGRAPHCONFIG.fields_by_name['options'].message_type = mediapipe_dot_framework_dot_mediapipe__options__pb2._MEDIAPIPEOPTIONS
-_CALCULATORGRAPHCONFIG.fields_by_name['graph_options'].message_type = google_dot_protobuf_dot_any__pb2._ANY
-DESCRIPTOR.message_types_by_name['ExecutorConfig'] = _EXECUTORCONFIG
-DESCRIPTOR.message_types_by_name['InputCollection'] = _INPUTCOLLECTION
-DESCRIPTOR.message_types_by_name['InputCollectionSet'] = _INPUTCOLLECTIONSET
-DESCRIPTOR.message_types_by_name['InputStreamInfo'] = _INPUTSTREAMINFO
-DESCRIPTOR.message_types_by_name['ProfilerConfig'] = _PROFILERCONFIG
-DESCRIPTOR.message_types_by_name['CalculatorGraphConfig'] = _CALCULATORGRAPHCONFIG
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-ExecutorConfig = _reflection.GeneratedProtocolMessageType('ExecutorConfig', (_message.Message,), dict(
-  DESCRIPTOR = _EXECUTORCONFIG,
-  __module__ = 'mediapipe.framework.calculator_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.ExecutorConfig)
-  ))
-_sym_db.RegisterMessage(ExecutorConfig)
-
-InputCollection = _reflection.GeneratedProtocolMessageType('InputCollection', (_message.Message,), dict(
-  DESCRIPTOR = _INPUTCOLLECTION,
-  __module__ = 'mediapipe.framework.calculator_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.InputCollection)
-  ))
-_sym_db.RegisterMessage(InputCollection)
-
-InputCollectionSet = _reflection.GeneratedProtocolMessageType('InputCollectionSet', (_message.Message,), dict(
-  DESCRIPTOR = _INPUTCOLLECTIONSET,
-  __module__ = 'mediapipe.framework.calculator_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.InputCollectionSet)
-  ))
-_sym_db.RegisterMessage(InputCollectionSet)
-
-InputStreamInfo = _reflection.GeneratedProtocolMessageType('InputStreamInfo', (_message.Message,), dict(
-  DESCRIPTOR = _INPUTSTREAMINFO,
-  __module__ = 'mediapipe.framework.calculator_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.InputStreamInfo)
-  ))
-_sym_db.RegisterMessage(InputStreamInfo)
-
-ProfilerConfig = _reflection.GeneratedProtocolMessageType('ProfilerConfig', (_message.Message,), dict(
-  DESCRIPTOR = _PROFILERCONFIG,
-  __module__ = 'mediapipe.framework.calculator_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.ProfilerConfig)
-  ))
-_sym_db.RegisterMessage(ProfilerConfig)
-
-CalculatorGraphConfig = _reflection.GeneratedProtocolMessageType('CalculatorGraphConfig', (_message.Message,), dict(
-
-  Node = _reflection.GeneratedProtocolMessageType('Node', (_message.Message,), dict(
-    DESCRIPTOR = _CALCULATORGRAPHCONFIG_NODE,
-    __module__ = 'mediapipe.framework.calculator_pb2'
-    # @@protoc_insertion_point(class_scope:mediapipe.CalculatorGraphConfig.Node)
-    ))
-  ,
-  DESCRIPTOR = _CALCULATORGRAPHCONFIG,
-  __module__ = 'mediapipe.framework.calculator_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.CalculatorGraphConfig)
-  ))
-_sym_db.RegisterMessage(CalculatorGraphConfig)
-_sym_db.RegisterMessage(CalculatorGraphConfig.Node)
-
-
-DESCRIPTOR._options = None
-_PROFILERCONFIG.fields_by_name['enable_input_output_latency']._options = None
-_PROFILERCONFIG.fields_by_name['trace_log_duration_events']._options = None
-_CALCULATORGRAPHCONFIG_NODE.fields_by_name['profiler_config']._options = None
-# @@protoc_insertion_point(module_scope)    2294

src/p2/README.md

@@ -1,2 +0,0 @@
-# work1
-

src/p2/demo2.py

@@ -1,99 +0,0 @@
-import os
-import tensorflow as tf
-train_dataset_url = "https://storage.googleapis.com/download.tensorflow.org/data/iris_training.csv"
-file_url = "file:///home/smj/Work/mhand/test.csv"
-train_dataset_fp = tf.keras.utils.get_file(fname=os.path.basename(train_dataset_url),
-                                           origin=train_dataset_url)
-
-print("Local copy of the dataset file: {}".format(train_dataset_fp))
-# column order in CSV file
-
-class_names = ['Iris setosa', 'Iris versicolor', 'Iris virginica']
-
-batch_size = 32
-
-train_dataset = tf.data.experimental.make_csv_dataset(
-    train_dataset_fp,
-    batch_size,
-    label_name="virginica",
-    num_epochs=1)
-features, labels = next(iter(train_dataset))
-
-
-def pack_features_vector(features, labels):
-  """Pack the features into a single array."""
-  features = tf.stack(list(features.values()), axis=1)
-  return features, labels
-
-train_dataset = train_dataset.map(pack_features_vector)
-features, labels = next(iter(train_dataset))
-print(features)
-
-model = tf.keras.Sequential([
-  tf.keras.layers.Dense(10, activation=tf.nn.relu, input_shape=(4,)),  # input shape required
-  tf.keras.layers.Dense(10, activation=tf.nn.relu),
-  tf.keras.layers.Dense(3)
-])
-# features[0].shape=(4,0)
-predictions = model(features)
-tf.nn.softmax(predictions[:5])
-loss_object = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
-
-def loss(model, x, y, training):
-  # training=training is needed only if there are layers with different
-  # behavior during training versus inference (e.g. Dropout).
-  y_ = model(x, training=training)
-
-  return loss_object(y_true=y, y_pred=y_)
-
-
-l = loss(model, features, labels, training=False)
-def grad(model, inputs, targets):
-  with tf.GradientTape() as tape:
-    loss_value = loss(model, inputs, targets, training=True)
-  return loss_value, tape.gradient(loss_value, model.trainable_variables)
-
-optimizer = tf.keras.optimizers.SGD(learning_rate=0.01)
-loss_value, grads = grad(model, features, labels)
-
-print("Step: {}, Initial Loss: {}".format(optimizer.iterations.numpy(),
-                                          loss_value.numpy()))
-
-optimizer.apply_gradients(zip(grads, model.trainable_variables))
-
-print("Step: {},         Loss: {}".format(optimizer.iterations.numpy(),
-                                          loss(model, features, labels, training=True).numpy()))
-
-## Note: Rerunning this cell uses the same model variables
-
-# Keep results for plotting
-train_loss_results = []
-train_accuracy_results = []
-
-num_epochs = 201
-
-for epoch in range(num_epochs):
-  epoch_loss_avg = tf.keras.metrics.Mean()
-  epoch_accuracy = tf.keras.metrics.SparseCategoricalAccuracy()
-
-  # Training loop - using batches of 32
-  for x, y in train_dataset:
-    # Optimize the model
-    loss_value, grads = grad(model, x, y)
-    optimizer.apply_gradients(zip(grads, model.trainable_variables))
-
-    # Track progress
-    epoch_loss_avg.update_state(loss_value)  # Add current batch loss
-    # Compare predicted label to actual label
-    # training=True is needed only if there are layers with different
-    # behavior during training versus inference (e.g. Dropout).
-    epoch_accuracy.update_state(y, model(x, training=True))
-
-  # End epoch
-  train_loss_results.append(epoch_loss_avg.result())
-  train_accuracy_results.append(epoch_accuracy.result())
-
-  if epoch % 50 == 0:
-    print("Epoch {:03d}: Loss: {:.3f}, Accuracy: {:.3%}".format(epoch,
-                                                                epoch_loss_avg.result(),
-                                                                epoch_accuracy.result()))

src/p2/hans.js

@@ -1,153 +0,0 @@
-<!DOCTYPE html>
-<html>
-<head>
-    <meta charset="utf-8">
-    <script src="/static/hand/camera_utils.js" crossorigin="anonymous"></script>
-    <script src="/static/hand/control_utils.js" crossorigin="anonymous"></script>
-    <script src="/static/hand/drawing_utils.js" crossorigin="anonymous"></script>
-    <script src="/static/hand/hands.js" crossorigin="anonymous"></script>
-</head>
-
-<body>
-<div class="container">
-    <canvas class="output_canvas" width="1280px" height="720px"></canvas>
-</div>
-<div id="txtHint"></div>
-<script type="module">
-    function ajax(str) {
-        var xmlhttp;
-        if (str.length==0)
-        {
-            document.getElementById("txtHint").innerHTML="";
-            return;
-        }
-        if (window.XMLHttpRequest) xmlhttp=new XMLHttpRequest();
-        else xmlhttp=new ActiveXObject("Microsoft.XMLHTTP");
-        xmlhttp.onreadystatechange=function()
-        {
-            if (xmlhttp.readyState==4 && xmlhttp.status==200)
-            {
-                document.getElementById("txtHint").innerHTML+=xmlhttp.responseText;
-                num=0
-            }
-        }
-        xmlhttp.open("GET","/trans?="+str,true)
-        xmlhttp.send();
-    }
-
-    const videoElement = document.createElement("video");
-    const canvasElement = document.getElementsByClassName('output_canvas')[0];
-    const canvasCtx = canvasElement.getContext('2d');
-    var str =""
-    var pre=str
-    var num=2
-    function onResults(results) {
-        canvasCtx.save();
-        canvasCtx.clearRect(0, 0, canvasElement.width, canvasElement.height);
-        canvasCtx.drawImage(results.image, 0, 0, canvasElement.width, canvasElement.height);
-        if (results.multiHandLandmarks) {
-            var Left=[0,0,0,0,0,0,0,0,0]
-            var Right=[0,0,0,0,0,0,0,0,0]
-            for (let i = 0; i < results.multiHandLandmarks.length; i++) {
-                var hand_lable=results.multiHandedness[i].label
-                if (hand_lable=="Left"){
-                    Left[0]=1
-                    var wrist=results.multiHandLandmarks[i][0]
-                    var index_finger_mcp=results.multiHandLandmarks[i][5]
-                    var index_finger_tip=results.multiHandLandmarks[i][8]
-                    var middle_finger_mcp=results.multiHandLandmarks[i][9]
-                    var middle_finger_tip=results.multiHandLandmarks[i][12]
-                    var ring_finger_mcp=results.multiHandLandmarks[i][13]
-                    var ring_finger_tip=results.multiHandLandmarks[i][16]
-                    var pinky_mcp=results.multiHandLandmarks[i][17]
-                    var pinky_tip=results.multiHandLandmarks[i][20]
-
-                    var one_x = index_finger_mcp.x-pinky_mcp.x
-                    var one_y = index_finger_mcp.y-pinky_mcp.y
-
-                    if (Math.abs(one_x)>Math.abs(one_y)) {
-                        Left[3]=1;//平
-                        if (one_x>0) Left[1]=1;//正
-                        var tow = index_finger_mcp.y-wrist.y;
-                        if (tow<0) Left[2]=1;//上
-                        var length = Math.abs(middle_finger_mcp.y-wrist.y)/3;
-                        if (Math.abs(index_finger_tip.y-index_finger_mcp.y)>length) Left[5]=1;
-                        if (Math.abs(middle_finger_tip.y-middle_finger_mcp.y)>length) Left[6]=1;
-                        if (Math.abs(ring_finger_tip.y-ring_finger_mcp.y)>length) Left[7]=1;
-                        if (Math.abs(pinky_tip.y-pinky_mcp.y)>length) Left[8]=1;
-                    } else {
-                        var length = Math.abs(one_y)/3;
-                        if (Math.abs(index_finger_mcp.x-index_finger_tip.x)>length) Left[5]=1;
-                        if (Math.abs(middle_finger_mcp.x-middle_finger_tip.x)>length) Left[6]=1;
-                        if (Math.abs(ring_finger_mcp.x-ring_finger_tip.x)>length) Left[7]=1;
-                        if (Math.abs(pinky_mcp.x-pinky_tip.x)>length) Left[8]=1;
-                    }
-                } else {
-                    Right[0]=1
-                    var wrist=results.multiHandLandmarks[i][0]
-                    var index_finger_mcp=results.multiHandLandmarks[i][5]
-                    var index_finger_tip=results.multiHandLandmarks[i][8]
-                    var middle_finger_mcp=results.multiHandLandmarks[i][9]
-                    var middle_finger_tip=results.multiHandLandmarks[i][12]
-                    var ring_finger_mcp=results.multiHandLandmarks[i][13]
-                    var ring_finger_tip=results.multiHandLandmarks[i][16]
-                    var pinky_mcp=results.multiHandLandmarks[i][17]
-                    var pinky_tip=results.multiHandLandmarks[i][20]
-
-                    var one_x = index_finger_mcp.x-pinky_mcp.x
-                    var one_y = index_finger_mcp.y-pinky_mcp.y
-                    if (Math.abs(one_x)>Math.abs(one_y)) {
-                        Right[3]=1;//平
-                        if (one_x>0) Right[1]=1;//正
-                        var tow = index_finger_mcp.y-wrist.y;
-                        if (tow<0) Right[2]=1;//上
-                        var length = Math.abs(middle_finger_mcp.y-wrist.y)/3;
-                        if (Math.abs(index_finger_tip.y-index_finger_mcp.y)>length) Right[5]=1;
-                        if (Math.abs(middle_finger_tip.y-middle_finger_mcp.y)>length) Right[6]=1;
-                        if (Math.abs(ring_finger_tip.y-ring_finger_mcp.y)>length) Right[7]=1;
-                        if (Math.abs(pinky_tip.y-pinky_mcp.y)>length) Right[8]=1;
-                    } else {
-                        var length = Math.abs(one_y)/3;
-                        if (Math.abs(index_finger_mcp.x-index_finger_tip.x)>length) Right[5]=1;
-                        if (Math.abs(middle_finger_mcp.x-middle_finger_tip.x)>length) Right[6]=1;
-                        if (Math.abs(ring_finger_mcp.x-ring_finger_tip.x)>length) Right[7]=1;
-                        if (Math.abs(pinky_mcp.x-pinky_tip.x)>length) Right[8]=1;
-                    }
-                }
-                pre=str
-                str=''
-                for (let j = 0; j < Left.length; j++) str+=Left[j]
-                str+='|'
-                for (let j = 0; j < Right.length; j++) str+=Right[j]
-                if (pre==str) num=num+1
-                console.log(pre,str,num)
-                if (num==20) ajax(str)
-                drawConnectors(canvasCtx, results.multiHandLandmarks[i], HAND_CONNECTIONS,
-                    {color: '#00FF00', lineWidth: 5});
-                drawLandmarks(canvasCtx, results.multiHandLandmarks[i], {color: '#FF0000', lineWidth: 2});
-            }
-        }
-        canvasCtx.restore();
-    }
-
-    const hands = new Hands({locateFile: (file) => {
-            return `/static/hand/${file}`;
-        }});
-    hands.setOptions({
-        maxNumHands: 2,
-        modelComplexity: 1,
-        minDetectionConfidence: 0.5,
-        minTrackingConfidence: 0.5
-    });
-    hands.onResults(onResults);
-    const camera = new Camera(videoElement, {
-        onFrame: async () => {
-            await hands.send({image: videoElement});
-        },
-        width: 1280,
-        height: 720
-    });
-    camera.start();
-</script>
-</body>
-</html>

src/p2/sqltools/insert_trans.py

@@ -1,139 +0,0 @@
-import math
-import sqlite3
-
-print ("数据库打开成功")
-strs = "INSERT INTO XYZ VALUES ("
-
-
-import cv2
-import mediapipe as mp
-
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_hands = mp.solutions.hands
-
-num = 0
-# For webcam input:
-cap = cv2.VideoCapture(0)
-Left = [0, 0, 0, 0, 0, 0, 0, 0, 0]
-Right = [0, 0, 0, 0, 0, 0, 0, 0, 0]
-
-with mp_hands.Hands(
-    model_complexity=0,
-    max_num_hands=2,
-    min_detection_confidence=0.5,
-    min_tracking_confidence=0.5) as hands:
-    while cap.isOpened():
-        success, image = cap.read()
-        if not success:
-            print("Ignoring empty camera frame.")
-            # If loading a video, use 'break' instead of 'continue'.
-            continue
-
-        # To improve performance, optionally mark the image as not writeable to
-        # pass by reference.
-        image.flags.writeable = False
-        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-        results = hands.process(image)
-
-        # Draw the hand annotations on the image.
-        image.flags.writeable = True
-        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-        aa=0
-        if results.multi_hand_landmarks:
-            for i,hand_landmarks in enumerate(results.multi_hand_landmarks):
-                Left = [0, 0, 0, 0, 0, 0, 0, 0, 0]
-                Right = [0, 0, 0, 0, 0, 0, 0, 0, 0]
-            if (results.multi_handedness[i].classification[0].label)=="Left":
-                Left[0] = 1
-                wrist = hand_landmarks.landmark[0]
-                index_finger_mcp = hand_landmarks.landmark[5]
-                index_finger_tip = hand_landmarks.landmark[8]
-                middle_finger_mcp = hand_landmarks.landmark[9]
-                middle_finger_tip = hand_landmarks.landmark[12]
-                ring_finger_mcp = hand_landmarks.landmark[13]
-                ring_finger_tip = hand_landmarks.landmark[16]
-                pinky_mcp = hand_landmarks.landmark[17]
-                pinky_tip = hand_landmarks.landmark[20]
-
-                one_x = index_finger_mcp.x - pinky_mcp.x
-                one_y = index_finger_mcp.y - pinky_mcp.y
-
-                if (math.fabs(one_x) > math.fabs(one_y)):
-                    Left[3]=1
-                    if (one_x > 0):
-                        Left[1]=1
-                    tow = index_finger_mcp.y-wrist.y
-                    if (tow < 0): Left[2]=1
-                    length = math.fabs(middle_finger_mcp.y-wrist.y) / 3
-                    if (math.fabs(index_finger_tip.y-index_finger_mcp.y) > length): Left[5]=1
-                    if (math.fabs(middle_finger_tip.y-middle_finger_mcp.y) > length): Left[6]=1
-                    if (math.fabs(ring_finger_tip.y-ring_finger_mcp.y) > length): Left[7]=1
-                    if (math.fabs(pinky_tip.y-pinky_mcp.y) > length): Left[8]=1
-                else:
-                    length = math.fabs(one_y) / 3
-                    if (math.fabs(index_finger_mcp.x-index_finger_tip.x) > length): Left[5]=1
-                    if (math.fabs(middle_finger_mcp.x-middle_finger_tip.x) > length): Left[6]=1
-                    if (math.fabs(ring_finger_mcp.x-ring_finger_tip.x) > length): Left[7]=1
-                    if (math.fabs(pinky_mcp.x-pinky_tip.x) > length): Left[8]=1
-            else:
-                Right[0] = 1
-                wrist = hand_landmarks.landmark[0]
-                index_finger_mcp = hand_landmarks.landmark[5]
-
-                index_finger_tip = hand_landmarks.landmark[8]
-
-                middle_finger_mcp = hand_landmarks.landmark[9]
-
-                middle_finger_tip = hand_landmarks.landmark[12]
-
-                ring_finger_mcp = hand_landmarks.landmark[13]
-
-                ring_finger_tip = hand_landmarks.landmark[16]
-
-                pinky_mcp = hand_landmarks.landmark[17]
-
-                pinky_tip = hand_landmarks.landmark[20]
-
-                one_x = index_finger_mcp.x - pinky_mcp.x
-                one_y = index_finger_mcp.y - pinky_mcp.y
-                if (math.fabs(one_x) > math.fabs(one_y)): Right[3]=1
-                if (one_x > 0): Right[1]=1
-                tow = index_finger_mcp.y-wrist.y
-                if (tow < 0): Right[2]=1
-                length = math.fabs(middle_finger_mcp.y-wrist.y) / 3
-                if (math.fabs(index_finger_tip.y-index_finger_mcp.y) > length): Right[5]=1
-                if (math.fabs(middle_finger_tip.y-middle_finger_mcp.y) > length): Right[6]=1
-                if (math.fabs(ring_finger_tip.y-ring_finger_mcp.y) > length): Right[7]=1
-                if (math.fabs(pinky_tip.y-pinky_mcp.y) > length): Right[8]=1
-                else:
-                    length = math.fabs(one_y) / 2
-                    if (math.fabs(index_finger_mcp.x-index_finger_tip.x) > length): Right[5]=1
-                    if (math.fabs(middle_finger_mcp.x-middle_finger_tip.x) > length): Right[6]=1
-                    if (math.fabs(ring_finger_mcp.x-ring_finger_tip.x) > length): Right[7]=1
-                    if (math.fabs(pinky_mcp.x-pinky_tip.x) > length): Right[8]=1
-            mp_drawing.draw_landmarks(
-                image,
-                hand_landmarks,
-                mp_hands.HAND_CONNECTIONS,
-                mp_drawing_styles.get_default_hand_landmarks_style(),
-                mp_drawing_styles.get_default_hand_connections_style())
-        # Flip the image horizontally for a selfie-view display.
-        cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))
-        ctl = cv2.waitKey(5)
-        if ctl == ord('q'):
-            break
-        elif ctl==ord('s'):
-            print(Left,Right)
-            # strs = "INSERT INTO XYZ VALUES ("
-            # word = "\'"+input()+"\',"
-            # strs+=word
-            # print(aa)
-            # print(len(wt))
-            # for i in wt:
-            #     strs+=str(i)[:7]+","
-            # strs = strs[:-1] + ")"
-cap.release()
-
-
-print ("数据插入成功")

src/p2/sqltools/insert_xyz.py

@@ -1,78 +0,0 @@
-import sqlite3
-
-conn = sqlite3.connect('info.db')
-c = conn.cursor()
-print ("数据库打开成功")
-strs = "INSERT INTO XYZ VALUES ("
-
-
-import cv2
-import mediapipe as mp
-
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_hands = mp.solutions.hands
-
-num = 0
-# For webcam input:
-cap = cv2.VideoCapture(0)
-
-with mp_hands.Hands(
-    model_complexity=0,
-    max_num_hands=2,
-    min_detection_confidence=0.5,
-    min_tracking_confidence=0.5) as hands:
-  while cap.isOpened():
-    success, image = cap.read()
-    if not success:
-      print("Ignoring empty camera frame.")
-      # If loading a video, use 'break' instead of 'continue'.
-      continue
-
-    # To improve performance, optionally mark the image as not writeable to
-    # pass by reference.
-    image.flags.writeable = False
-    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-    results = hands.process(image)
-
-    # Draw the hand annotations on the image.
-    image.flags.writeable = True
-    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-    aa=0
-    if results.multi_hand_landmarks:
-      wt = []
-      for i in range(42 * 3):
-        wt.append(0)
-      for i,hand_landmarks in enumerate(results.multi_hand_landmarks):
-        if (results.multi_handedness[i].classification[0].label)=="Left":
-            num = 0
-        else:
-            num =1
-        for j,handlms in enumerate(hand_landmarks.landmark):
-            wt[num*21*3+j*3],wt[num*21*3+j*3+1],wt[num*21*3+j*3+2] = handlms.x, handlms.y, handlms.z
-        mp_drawing.draw_landmarks(
-            image,
-            hand_landmarks,
-            mp_hands.HAND_CONNECTIONS,
-            mp_drawing_styles.get_default_hand_landmarks_style(),
-            mp_drawing_styles.get_default_hand_connections_style())
-    # Flip the image horizontally for a selfie-view display.
-    cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))
-    ctl = cv2.waitKey(5)
-    if ctl == ord('q'):
-      break
-    elif ctl==ord('s'):
-        strs = "INSERT INTO XYZ VALUES ("
-        word = "\'"+input()+"\',"
-        strs+=word
-        print(aa)
-        for i in wt:
-            strs+=str(i)[:7]+","
-        strs = strs[:-1] + ");"
-        print(strs)
-        c.execute(strs)
-cap.release()
-conn.commit()
-
-print ("数据插入成功")
-conn.close()

src/p2/sqltools/sqliteinsert.py

@@ -1,20 +0,0 @@
-import sqlite3
-
-conn = sqlite3.connect('info.db')
-c = conn.cursor()
-print ("数据库打开成功")
-def insert_xyz():
-    strs = "INSERT INTO XYZ VALUES ('这',"
-    for i in range(21*4):
-        strs+=str(i+0.01)+","
-    strs=strs[:-1]+");"
-    c.execute(strs)
-
-def insert_trans():
-    strs = "INSERT INTO TRANSLATION VALUES('好','100000000|000000000');"
-    print(strs)
-    c.execute(strs)
-
-conn.commit()
-print ("数据插入成功")
-conn.close()

src/p2/sqltools/sqlites.py

@@ -1,15 +0,0 @@
-import sqlite3
-
-conn = sqlite3.connect('info.db')
-print ("数据库打开成功")
-c = conn.cursor()
-strs = "CREATE TABLE TRANSLATION(WORD TEXT PRIMARY KEY NOT NULL,NUM TEXT);"
-# strnum = "CREATE TABLE XYZ(WORD TEXT PRIMARY KEY NOT NULL,"
-# for i in range(21*2*2):
-#     strnum+="fig"+str(i).zfill(2)+" FLOAT NOT NULL,"
-# strnum=strnum[:-1]+");"
-print(strs)
-c.execute(strs)
-print ("数据表创建成功")
-conn.commit()
-conn.close()

src/p2/test.py

@@ -1,32 +0,0 @@
-import tensorflow as tf
-import csv
-new_model = tf.keras.models.load_model('model')
-
-# Check its architecture
-new_model.summary()
-
-train_label = []
-train_feature=[]
-with open("test.csv","r") as r:
-    reader = csv.reader(r)
-    for i in reader:
-        train_label.append((eval(i.pop())))
-        b = [eval(j) for j in i]
-        train_feature.append(b)
-train_features = tf.constant(train_feature)
-train_labels = tf.constant(train_label)
-
-test_accuracy = tf.keras.metrics.Accuracy()
-
-branch = 32
-for num in range(len(train_features)//branch):
-  # training=False is needed only if there are layers with different
-  # behavior during training versus inference (e.g. Dropout).
-  x = train_features[num*32:(num+1)*32]
-  y = train_labels[num*32:(num+1)*32]
-  logits = new_model(x, training=False)
-  prediction = tf.argmax(logits, axis=1, output_type=tf.int32)
-  print("真实值为",y,"预测值为",prediction)
-  test_accuracy(prediction, y)
-
-print("Test set accuracy: {:.3%}".format(test_accuracy.result()))

src/p2/test_video.py

@@ -1,76 +0,0 @@
-import cv2
-import mediapipe as mp
-import csv
-import tensorflow as tf
-import csv
-new_model = tf.keras.models.load_model('model')
-
-# Check its architecture
-new_model.summary()
-
-def test(inputs):
-  # training=False is needed only if there are layers with different
-  # behavior during training versus inference (e.g. Dropout).
-  x = tf.constant([inputs])
-  logits = new_model(x, training=False)
-  prediction = tf.argmax(logits, axis=1, output_type=tf.int32)
-  print(prediction)
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_hands = mp.solutions.hands
-
-ls = []
-for i in range(42*3*2):
-    ls.append(0)
-wt = ls
-num = 0
-# For webcam input:
-cap = cv2.VideoCapture(0)
-
-
-with open("test.csv","a") as csvfile:
-    writer = csv.writer(csvfile)
-
-    with mp_hands.Hands(
-        model_complexity=0,
-        max_num_hands=2,
-        min_detection_confidence=0.5,
-        min_tracking_confidence=0.5) as hands:
-      while cap.isOpened():
-        success, image = cap.read()
-        if not success:
-          print("Ignoring empty camera frame.")
-          # If loading a video, use 'break' instead of 'continue'.
-          continue
-
-        # To improve performance, optionally mark the image as not writeable to
-        # pass by reference.
-        image.flags.writeable = False
-        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-        results = hands.process(image)
-
-        # Draw the hand annotations on the image.
-        image.flags.writeable = True
-        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-
-        if results.multi_hand_landmarks:
-          for i,hand_landmarks in enumerate(results.multi_hand_landmarks):
-            if (results.multi_handedness[i].classification[0].label)=="Left":
-                num = 0
-            else:
-                num =1
-            for j,handlms in enumerate(hand_landmarks.landmark):
-                wt[num*21*3+j],wt[num*21*3+j+1],wt[num*21*3+j+2] = handlms.x, handlms.y, handlms.z
-            mp_drawing.draw_landmarks(
-                image,
-                hand_landmarks,
-                mp_hands.HAND_CONNECTIONS,
-                mp_drawing_styles.get_default_hand_landmarks_style(),
-                mp_drawing_styles.get_default_hand_connections_style())
-        # Flip the image horizontally for a selfie-view display.
-        test(wt)
-        cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))
-        ctl = cv2.waitKey(5)
-        if ctl == ord('q'):
-          break
-cap.release()

src/p2/tools/calculator_profile_pb2.py

@@ -1,607 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: mediapipe/framework/calculator_profile.proto
-
-import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-from mediapipe.framework import calculator_pb2 as mediapipe_dot_framework_dot_calculator__pb2
-try:
-  mediapipe_dot_framework_dot_calculator__options__pb2 = mediapipe_dot_framework_dot_calculator__pb2.mediapipe_dot_framework_dot_calculator__options__pb2
-except AttributeError:
-  mediapipe_dot_framework_dot_calculator__options__pb2 = mediapipe_dot_framework_dot_calculator__pb2.mediapipe.framework.calculator_options_pb2
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-  name='mediapipe/framework/calculator_profile.proto',
-  package='mediapipe',
-  syntax='proto2',
-  serialized_options=_b('\n\032com.google.mediapipe.protoB\026CalculatorProfileProto'),
-  serialized_pb=_b('\n,mediapipe/framework/calculator_profile.proto\x12\tmediapipe\x1a$mediapipe/framework/calculator.proto\"o\n\rTimeHistogram\x12\x10\n\x05total\x18\x01 \x01(\x03:\x01\x30\x12#\n\x12interval_size_usec\x18\x02 \x01(\x03:\x07\x31\x30\x30\x30\x30\x30\x30\x12\x18\n\rnum_intervals\x18\x03 \x01(\x03:\x01\x31\x12\r\n\x05\x63ount\x18\x04 \x03(\x03\"b\n\rStreamProfile\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x18\n\tback_edge\x18\x02 \x01(\x08:\x05\x66\x61lse\x12)\n\x07latency\x18\x03 \x01(\x0b\x32\x18.mediapipe.TimeHistogram\"\xb3\x02\n\x11\x43\x61lculatorProfile\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x17\n\x0copen_runtime\x18\x02 \x01(\x03:\x01\x30\x12\x18\n\rclose_runtime\x18\x03 \x01(\x03:\x01\x30\x12\x31\n\x0fprocess_runtime\x18\x04 \x01(\x0b\x32\x18.mediapipe.TimeHistogram\x12\x37\n\x15process_input_latency\x18\x05 \x01(\x0b\x32\x18.mediapipe.TimeHistogram\x12\x38\n\x16process_output_latency\x18\x06 \x01(\x0b\x32\x18.mediapipe.TimeHistogram\x12\x37\n\x15input_stream_profiles\x18\x07 \x03(\x0b\x32\x18.mediapipe.StreamProfile\"\xe9\x06\n\nGraphTrace\x12\x11\n\tbase_time\x18\x01 \x01(\x03\x12\x16\n\x0e\x62\x61se_timestamp\x18\x02 \x01(\x03\x12\x17\n\x0f\x63\x61lculator_name\x18\x03 \x03(\t\x12\x13\n\x0bstream_name\x18\x04 \x03(\t\x12?\n\x10\x63\x61lculator_trace\x18\x05 \x03(\x0b\x32%.mediapipe.GraphTrace.CalculatorTrace\x1a\x8e\x01\n\x0bStreamTrace\x12\x12\n\nstart_time\x18\x01 \x01(\x03\x12\x13\n\x0b\x66inish_time\x18\x02 \x01(\x03\x12\x18\n\x10packet_timestamp\x18\x03 \x01(\x03\x12\x11\n\tstream_id\x18\x04 \x01(\x05\x12\x15\n\tpacket_id\x18\x05 \x01(\x03\x42\x02\x18\x01\x12\x12\n\nevent_data\x18\x06 \x01(\x03\x1a\x9d\x02\n\x0f\x43\x61lculatorTrace\x12\x0f\n\x07node_id\x18\x01 \x01(\x05\x12\x17\n\x0finput_timestamp\x18\x02 \x01(\x03\x12\x33\n\nevent_type\x18\x03 \x01(\x0e\x32\x1f.mediapipe.GraphTrace.EventType\x12\x12\n\nstart_time\x18\x04 \x01(\x03\x12\x13\n\x0b\x66inish_time\x18\x05 \x01(\x03\x12\x36\n\x0binput_trace\x18\x06 \x03(\x0b\x32!.mediapipe.GraphTrace.StreamTrace\x12\x37\n\x0coutput_trace\x18\x07 \x03(\x0b\x32!.mediapipe.GraphTrace.StreamTrace\x12\x11\n\tthread_id\x18\x08 \x01(\x05\"\x8f\x02\n\tEventType\x12\x0b\n\x07UNKNOWN\x10\x00\x12\x08\n\x04OPEN\x10\x01\x12\x0b\n\x07PROCESS\x10\x02\x12\t\n\x05\x43LOSE\x10\x03\x12\r\n\tNOT_READY\x10\x04\x12\x15\n\x11READY_FOR_PROCESS\x10\x05\x12\x13\n\x0fREADY_FOR_CLOSE\x10\x06\x12\r\n\tTHROTTLED\x10\x07\x12\x0f\n\x0bUNTHROTTLED\x10\x08\x12\x11\n\rCPU_TASK_USER\x10\t\x12\x13\n\x0f\x43PU_TASK_SYSTEM\x10\n\x12\x0c\n\x08GPU_TASK\x10\x0b\x12\x0c\n\x08\x44SP_TASK\x10\x0c\x12\x0c\n\x08TPU_TASK\x10\r\x12\x13\n\x0fGPU_CALIBRATION\x10\x0e\x12\x11\n\rPACKET_QUEUED\x10\x0f\"\xa7\x01\n\x0cGraphProfile\x12*\n\x0bgraph_trace\x18\x01 \x03(\x0b\x32\x15.mediapipe.GraphTrace\x12\x39\n\x13\x63\x61lculator_profiles\x18\x02 \x03(\x0b\x32\x1c.mediapipe.CalculatorProfile\x12\x30\n\x06\x63onfig\x18\x03 \x01(\x0b\x32 .mediapipe.CalculatorGraphConfigB4\n\x1a\x63om.google.mediapipe.protoB\x16\x43\x61lculatorProfileProto')
-  ,
-  dependencies=[mediapipe_dot_framework_dot_calculator__pb2.DESCRIPTOR,])
-
-
-
-_GRAPHTRACE_EVENTTYPE = _descriptor.EnumDescriptor(
-  name='EventType',
-  full_name='mediapipe.GraphTrace.EventType',
-  filename=None,
-  file=DESCRIPTOR,
-  values=[
-    _descriptor.EnumValueDescriptor(
-      name='UNKNOWN', index=0, number=0,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='OPEN', index=1, number=1,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='PROCESS', index=2, number=2,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='CLOSE', index=3, number=3,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='NOT_READY', index=4, number=4,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='READY_FOR_PROCESS', index=5, number=5,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='READY_FOR_CLOSE', index=6, number=6,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='THROTTLED', index=7, number=7,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='UNTHROTTLED', index=8, number=8,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='CPU_TASK_USER', index=9, number=9,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='CPU_TASK_SYSTEM', index=10, number=10,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='GPU_TASK', index=11, number=11,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='DSP_TASK', index=12, number=12,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='TPU_TASK', index=13, number=13,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='GPU_CALIBRATION', index=14, number=14,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='PACKET_QUEUED', index=15, number=15,
-      serialized_options=None,
-      type=None),
-  ],
-  containing_type=None,
-  serialized_options=None,
-  serialized_start=1223,
-  serialized_end=1494,
-)
-_sym_db.RegisterEnumDescriptor(_GRAPHTRACE_EVENTTYPE)
-
-
-_TIMEHISTOGRAM = _descriptor.Descriptor(
-  name='TimeHistogram',
-  full_name='mediapipe.TimeHistogram',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='total', full_name='mediapipe.TimeHistogram.total', index=0,
-      number=1, type=3, cpp_type=2, label=1,
-      has_default_value=True, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='interval_size_usec', full_name='mediapipe.TimeHistogram.interval_size_usec', index=1,
-      number=2, type=3, cpp_type=2, label=1,
-      has_default_value=True, default_value=1000000,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='num_intervals', full_name='mediapipe.TimeHistogram.num_intervals', index=2,
-      number=3, type=3, cpp_type=2, label=1,
-      has_default_value=True, default_value=1,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='count', full_name='mediapipe.TimeHistogram.count', index=3,
-      number=4, type=3, cpp_type=2, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=97,
-  serialized_end=208,
-)
-
-
-_STREAMPROFILE = _descriptor.Descriptor(
-  name='StreamProfile',
-  full_name='mediapipe.StreamProfile',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='mediapipe.StreamProfile.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='back_edge', full_name='mediapipe.StreamProfile.back_edge', index=1,
-      number=2, type=8, cpp_type=7, label=1,
-      has_default_value=True, default_value=False,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='latency', full_name='mediapipe.StreamProfile.latency', index=2,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=210,
-  serialized_end=308,
-)
-
-
-_CALCULATORPROFILE = _descriptor.Descriptor(
-  name='CalculatorProfile',
-  full_name='mediapipe.CalculatorProfile',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='mediapipe.CalculatorProfile.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='open_runtime', full_name='mediapipe.CalculatorProfile.open_runtime', index=1,
-      number=2, type=3, cpp_type=2, label=1,
-      has_default_value=True, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='close_runtime', full_name='mediapipe.CalculatorProfile.close_runtime', index=2,
-      number=3, type=3, cpp_type=2, label=1,
-      has_default_value=True, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='process_runtime', full_name='mediapipe.CalculatorProfile.process_runtime', index=3,
-      number=4, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='process_input_latency', full_name='mediapipe.CalculatorProfile.process_input_latency', index=4,
-      number=5, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='process_output_latency', full_name='mediapipe.CalculatorProfile.process_output_latency', index=5,
-      number=6, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_stream_profiles', full_name='mediapipe.CalculatorProfile.input_stream_profiles', index=6,
-      number=7, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=311,
-  serialized_end=618,
-)
-
-
-_GRAPHTRACE_STREAMTRACE = _descriptor.Descriptor(
-  name='StreamTrace',
-  full_name='mediapipe.GraphTrace.StreamTrace',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='start_time', full_name='mediapipe.GraphTrace.StreamTrace.start_time', index=0,
-      number=1, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='finish_time', full_name='mediapipe.GraphTrace.StreamTrace.finish_time', index=1,
-      number=2, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='packet_timestamp', full_name='mediapipe.GraphTrace.StreamTrace.packet_timestamp', index=2,
-      number=3, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='stream_id', full_name='mediapipe.GraphTrace.StreamTrace.stream_id', index=3,
-      number=4, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='packet_id', full_name='mediapipe.GraphTrace.StreamTrace.packet_id', index=4,
-      number=5, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=_b('\030\001'), file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='event_data', full_name='mediapipe.GraphTrace.StreamTrace.event_data', index=5,
-      number=6, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=790,
-  serialized_end=932,
-)
-
-_GRAPHTRACE_CALCULATORTRACE = _descriptor.Descriptor(
-  name='CalculatorTrace',
-  full_name='mediapipe.GraphTrace.CalculatorTrace',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='node_id', full_name='mediapipe.GraphTrace.CalculatorTrace.node_id', index=0,
-      number=1, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_timestamp', full_name='mediapipe.GraphTrace.CalculatorTrace.input_timestamp', index=1,
-      number=2, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='event_type', full_name='mediapipe.GraphTrace.CalculatorTrace.event_type', index=2,
-      number=3, type=14, cpp_type=8, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='start_time', full_name='mediapipe.GraphTrace.CalculatorTrace.start_time', index=3,
-      number=4, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='finish_time', full_name='mediapipe.GraphTrace.CalculatorTrace.finish_time', index=4,
-      number=5, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_trace', full_name='mediapipe.GraphTrace.CalculatorTrace.input_trace', index=5,
-      number=6, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='output_trace', full_name='mediapipe.GraphTrace.CalculatorTrace.output_trace', index=6,
-      number=7, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='thread_id', full_name='mediapipe.GraphTrace.CalculatorTrace.thread_id', index=7,
-      number=8, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=935,
-  serialized_end=1220,
-)
-
-_GRAPHTRACE = _descriptor.Descriptor(
-  name='GraphTrace',
-  full_name='mediapipe.GraphTrace',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='base_time', full_name='mediapipe.GraphTrace.base_time', index=0,
-      number=1, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='base_timestamp', full_name='mediapipe.GraphTrace.base_timestamp', index=1,
-      number=2, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='calculator_name', full_name='mediapipe.GraphTrace.calculator_name', index=2,
-      number=3, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='stream_name', full_name='mediapipe.GraphTrace.stream_name', index=3,
-      number=4, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='calculator_trace', full_name='mediapipe.GraphTrace.calculator_trace', index=4,
-      number=5, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[_GRAPHTRACE_STREAMTRACE, _GRAPHTRACE_CALCULATORTRACE, ],
-  enum_types=[
-    _GRAPHTRACE_EVENTTYPE,
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=621,
-  serialized_end=1494,
-)
-
-
-_GRAPHPROFILE = _descriptor.Descriptor(
-  name='GraphProfile',
-  full_name='mediapipe.GraphProfile',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='graph_trace', full_name='mediapipe.GraphProfile.graph_trace', index=0,
-      number=1, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='calculator_profiles', full_name='mediapipe.GraphProfile.calculator_profiles', index=1,
-      number=2, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='config', full_name='mediapipe.GraphProfile.config', index=2,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1497,
-  serialized_end=1664,
-)
-
-_STREAMPROFILE.fields_by_name['latency'].message_type = _TIMEHISTOGRAM
-_CALCULATORPROFILE.fields_by_name['process_runtime'].message_type = _TIMEHISTOGRAM
-_CALCULATORPROFILE.fields_by_name['process_input_latency'].message_type = _TIMEHISTOGRAM
-_CALCULATORPROFILE.fields_by_name['process_output_latency'].message_type = _TIMEHISTOGRAM
-_CALCULATORPROFILE.fields_by_name['input_stream_profiles'].message_type = _STREAMPROFILE
-_GRAPHTRACE_STREAMTRACE.containing_type = _GRAPHTRACE
-_GRAPHTRACE_CALCULATORTRACE.fields_by_name['event_type'].enum_type = _GRAPHTRACE_EVENTTYPE
-_GRAPHTRACE_CALCULATORTRACE.fields_by_name['input_trace'].message_type = _GRAPHTRACE_STREAMTRACE
-_GRAPHTRACE_CALCULATORTRACE.fields_by_name['output_trace'].message_type = _GRAPHTRACE_STREAMTRACE
-_GRAPHTRACE_CALCULATORTRACE.containing_type = _GRAPHTRACE
-_GRAPHTRACE.fields_by_name['calculator_trace'].message_type = _GRAPHTRACE_CALCULATORTRACE
-_GRAPHTRACE_EVENTTYPE.containing_type = _GRAPHTRACE
-_GRAPHPROFILE.fields_by_name['graph_trace'].message_type = _GRAPHTRACE
-_GRAPHPROFILE.fields_by_name['calculator_profiles'].message_type = _CALCULATORPROFILE
-_GRAPHPROFILE.fields_by_name['config'].message_type = mediapipe_dot_framework_dot_calculator__pb2._CALCULATORGRAPHCONFIG
-DESCRIPTOR.message_types_by_name['TimeHistogram'] = _TIMEHISTOGRAM
-DESCRIPTOR.message_types_by_name['StreamProfile'] = _STREAMPROFILE
-DESCRIPTOR.message_types_by_name['CalculatorProfile'] = _CALCULATORPROFILE
-DESCRIPTOR.message_types_by_name['GraphTrace'] = _GRAPHTRACE
-DESCRIPTOR.message_types_by_name['GraphProfile'] = _GRAPHPROFILE
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-TimeHistogram = _reflection.GeneratedProtocolMessageType('TimeHistogram', (_message.Message,), dict(
-  DESCRIPTOR = _TIMEHISTOGRAM,
-  __module__ = 'mediapipe.framework.calculator_profile_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.TimeHistogram)
-  ))
-_sym_db.RegisterMessage(TimeHistogram)
-
-StreamProfile = _reflection.GeneratedProtocolMessageType('StreamProfile', (_message.Message,), dict(
-  DESCRIPTOR = _STREAMPROFILE,
-  __module__ = 'mediapipe.framework.calculator_profile_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.StreamProfile)
-  ))
-_sym_db.RegisterMessage(StreamProfile)
-
-CalculatorProfile = _reflection.GeneratedProtocolMessageType('CalculatorProfile', (_message.Message,), dict(
-  DESCRIPTOR = _CALCULATORPROFILE,
-  __module__ = 'mediapipe.framework.calculator_profile_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.CalculatorProfile)
-  ))
-_sym_db.RegisterMessage(CalculatorProfile)
-
-GraphTrace = _reflection.GeneratedProtocolMessageType('GraphTrace', (_message.Message,), dict(
-
-  StreamTrace = _reflection.GeneratedProtocolMessageType('StreamTrace', (_message.Message,), dict(
-    DESCRIPTOR = _GRAPHTRACE_STREAMTRACE,
-    __module__ = 'mediapipe.framework.calculator_profile_pb2'
-    # @@protoc_insertion_point(class_scope:mediapipe.GraphTrace.StreamTrace)
-    ))
-  ,
-
-  CalculatorTrace = _reflection.GeneratedProtocolMessageType('CalculatorTrace', (_message.Message,), dict(
-    DESCRIPTOR = _GRAPHTRACE_CALCULATORTRACE,
-    __module__ = 'mediapipe.framework.calculator_profile_pb2'
-    # @@protoc_insertion_point(class_scope:mediapipe.GraphTrace.CalculatorTrace)
-    ))
-  ,
-  DESCRIPTOR = _GRAPHTRACE,
-  __module__ = 'mediapipe.framework.calculator_profile_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.GraphTrace)
-  ))
-_sym_db.RegisterMessage(GraphTrace)
-_sym_db.RegisterMessage(GraphTrace.StreamTrace)
-_sym_db.RegisterMessage(GraphTrace.CalculatorTrace)
-
-GraphProfile = _reflection.GeneratedProtocolMessageType('GraphProfile', (_message.Message,), dict(
-  DESCRIPTOR = _GRAPHPROFILE,
-  __module__ = 'mediapipe.framework.calculator_profile_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.GraphProfile)
-  ))
-_sym_db.RegisterMessage(GraphProfile)
-
-
-DESCRIPTOR._options = None
-_GRAPHTRACE_STREAMTRACE.fields_by_name['packet_id']._options = None
-# @@protoc_insertion_point(module_scope)

src/p2/tools/mediapipe_options_pb2.py

@@ -1,64 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: mediapipe/framework/mediapipe_options.proto
-
-import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-  name='mediapipe/framework/mediapipe_options.proto',
-  package='mediapipe',
-  syntax='proto2',
-  serialized_options=_b('\n\032com.google.mediapipe.protoB\025MediaPipeOptionsProto'),
-  serialized_pb=_b('\n+mediapipe/framework/mediapipe_options.proto\x12\tmediapipe\"\x1e\n\x10MediaPipeOptions*\n\x08\xa0\x9c\x01\x10\x80\x80\x80\x80\x02\x42\x33\n\x1a\x63om.google.mediapipe.protoB\x15MediaPipeOptionsProto')
-)
-
-
-
-
-_MEDIAPIPEOPTIONS = _descriptor.Descriptor(
-  name='MediaPipeOptions',
-  full_name='mediapipe.MediaPipeOptions',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=True,
-  syntax='proto2',
-  extension_ranges=[(20000, 536870912), ],
-  oneofs=[
-  ],
-  serialized_start=58,
-  serialized_end=88,
-)
-
-DESCRIPTOR.message_types_by_name['MediaPipeOptions'] = _MEDIAPIPEOPTIONS
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-MediaPipeOptions = _reflection.GeneratedProtocolMessageType('MediaPipeOptions', (_message.Message,), dict(
-  DESCRIPTOR = _MEDIAPIPEOPTIONS,
-  __module__ = 'mediapipe.framework.mediapipe_options_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.MediaPipeOptions)
-  ))
-_sym_db.RegisterMessage(MediaPipeOptions)
-
-
-DESCRIPTOR._options = None
-# @@protoc_insertion_point(module_scope)

src/p2/tools/packet_factory_pb2.py

@@ -1,165 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: mediapipe/framework/packet_factory.proto
-
-import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-  name='mediapipe/framework/packet_factory.proto',
-  package='mediapipe',
-  syntax='proto2',
-  serialized_options=_b('\n\032com.google.mediapipe.protoB\022PacketFactoryProto'),
-  serialized_pb=_b('\n(mediapipe/framework/packet_factory.proto\x12\tmediapipe\"\"\n\x14PacketFactoryOptions*\n\x08\xa0\x9c\x01\x10\x80\x80\x80\x80\x02\"\x95\x01\n\x13PacketFactoryConfig\x12\x16\n\x0epacket_factory\x18\x01 \x01(\t\x12\x1a\n\x12output_side_packet\x18\x02 \x01(\t\x12\x18\n\x0f\x65xternal_output\x18\xea\x07 \x01(\t\x12\x30\n\x07options\x18\x03 \x01(\x0b\x32\x1f.mediapipe.PacketFactoryOptions\"E\n\x13PacketManagerConfig\x12.\n\x06packet\x18\x01 \x03(\x0b\x32\x1e.mediapipe.PacketFactoryConfigB0\n\x1a\x63om.google.mediapipe.protoB\x12PacketFactoryProto')
-)
-
-
-
-
-_PACKETFACTORYOPTIONS = _descriptor.Descriptor(
-  name='PacketFactoryOptions',
-  full_name='mediapipe.PacketFactoryOptions',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=True,
-  syntax='proto2',
-  extension_ranges=[(20000, 536870912), ],
-  oneofs=[
-  ],
-  serialized_start=55,
-  serialized_end=89,
-)
-
-
-_PACKETFACTORYCONFIG = _descriptor.Descriptor(
-  name='PacketFactoryConfig',
-  full_name='mediapipe.PacketFactoryConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='packet_factory', full_name='mediapipe.PacketFactoryConfig.packet_factory', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='output_side_packet', full_name='mediapipe.PacketFactoryConfig.output_side_packet', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='external_output', full_name='mediapipe.PacketFactoryConfig.external_output', index=2,
-      number=1002, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='options', full_name='mediapipe.PacketFactoryConfig.options', index=3,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=92,
-  serialized_end=241,
-)
-
-
-_PACKETMANAGERCONFIG = _descriptor.Descriptor(
-  name='PacketManagerConfig',
-  full_name='mediapipe.PacketManagerConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='packet', full_name='mediapipe.PacketManagerConfig.packet', index=0,
-      number=1, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=243,
-  serialized_end=312,
-)
-
-_PACKETFACTORYCONFIG.fields_by_name['options'].message_type = _PACKETFACTORYOPTIONS
-_PACKETMANAGERCONFIG.fields_by_name['packet'].message_type = _PACKETFACTORYCONFIG
-DESCRIPTOR.message_types_by_name['PacketFactoryOptions'] = _PACKETFACTORYOPTIONS
-DESCRIPTOR.message_types_by_name['PacketFactoryConfig'] = _PACKETFACTORYCONFIG
-DESCRIPTOR.message_types_by_name['PacketManagerConfig'] = _PACKETMANAGERCONFIG
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-PacketFactoryOptions = _reflection.GeneratedProtocolMessageType('PacketFactoryOptions', (_message.Message,), dict(
-  DESCRIPTOR = _PACKETFACTORYOPTIONS,
-  __module__ = 'mediapipe.framework.packet_factory_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.PacketFactoryOptions)
-  ))
-_sym_db.RegisterMessage(PacketFactoryOptions)
-
-PacketFactoryConfig = _reflection.GeneratedProtocolMessageType('PacketFactoryConfig', (_message.Message,), dict(
-  DESCRIPTOR = _PACKETFACTORYCONFIG,
-  __module__ = 'mediapipe.framework.packet_factory_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.PacketFactoryConfig)
-  ))
-_sym_db.RegisterMessage(PacketFactoryConfig)
-
-PacketManagerConfig = _reflection.GeneratedProtocolMessageType('PacketManagerConfig', (_message.Message,), dict(
-  DESCRIPTOR = _PACKETMANAGERCONFIG,
-  __module__ = 'mediapipe.framework.packet_factory_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.PacketManagerConfig)
-  ))
-_sym_db.RegisterMessage(PacketManagerConfig)
-
-
-DESCRIPTOR._options = None
-# @@protoc_insertion_point(module_scope)

src/p2/tools/packet_generator_pb2.py

@@ -1,146 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: mediapipe/framework/packet_generator.proto
-
-import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-  name='mediapipe/framework/packet_generator.proto',
-  package='mediapipe',
-  syntax='proto2',
-  serialized_options=_b('\n\032com.google.mediapipe.protoB\024PacketGeneratorProto'),
-  serialized_pb=_b('\n*mediapipe/framework/packet_generator.proto\x12\tmediapipe\"@\n\x16PacketGeneratorOptions\x12\x1a\n\x0cmerge_fields\x18\x01 \x01(\x08:\x04true*\n\x08\xa0\x9c\x01\x10\x80\x80\x80\x80\x02\"\xcf\x01\n\x15PacketGeneratorConfig\x12\x18\n\x10packet_generator\x18\x01 \x01(\t\x12\x19\n\x11input_side_packet\x18\x02 \x03(\t\x12\x17\n\x0e\x65xternal_input\x18\xea\x07 \x03(\t\x12\x1a\n\x12output_side_packet\x18\x03 \x03(\t\x12\x18\n\x0f\x65xternal_output\x18\xeb\x07 \x03(\t\x12\x32\n\x07options\x18\x04 \x01(\x0b\x32!.mediapipe.PacketGeneratorOptionsB2\n\x1a\x63om.google.mediapipe.protoB\x14PacketGeneratorProto')
-)
-
-
-
-
-_PACKETGENERATOROPTIONS = _descriptor.Descriptor(
-  name='PacketGeneratorOptions',
-  full_name='mediapipe.PacketGeneratorOptions',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='merge_fields', full_name='mediapipe.PacketGeneratorOptions.merge_fields', index=0,
-      number=1, type=8, cpp_type=7, label=1,
-      has_default_value=True, default_value=True,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=True,
-  syntax='proto2',
-  extension_ranges=[(20000, 536870912), ],
-  oneofs=[
-  ],
-  serialized_start=57,
-  serialized_end=121,
-)
-
-
-_PACKETGENERATORCONFIG = _descriptor.Descriptor(
-  name='PacketGeneratorConfig',
-  full_name='mediapipe.PacketGeneratorConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='packet_generator', full_name='mediapipe.PacketGeneratorConfig.packet_generator', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_side_packet', full_name='mediapipe.PacketGeneratorConfig.input_side_packet', index=1,
-      number=2, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='external_input', full_name='mediapipe.PacketGeneratorConfig.external_input', index=2,
-      number=1002, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='output_side_packet', full_name='mediapipe.PacketGeneratorConfig.output_side_packet', index=3,
-      number=3, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='external_output', full_name='mediapipe.PacketGeneratorConfig.external_output', index=4,
-      number=1003, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='options', full_name='mediapipe.PacketGeneratorConfig.options', index=5,
-      number=4, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=124,
-  serialized_end=331,
-)
-
-_PACKETGENERATORCONFIG.fields_by_name['options'].message_type = _PACKETGENERATOROPTIONS
-DESCRIPTOR.message_types_by_name['PacketGeneratorOptions'] = _PACKETGENERATOROPTIONS
-DESCRIPTOR.message_types_by_name['PacketGeneratorConfig'] = _PACKETGENERATORCONFIG
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-PacketGeneratorOptions = _reflection.GeneratedProtocolMessageType('PacketGeneratorOptions', (_message.Message,), dict(
-  DESCRIPTOR = _PACKETGENERATOROPTIONS,
-  __module__ = 'mediapipe.framework.packet_generator_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.PacketGeneratorOptions)
-  ))
-_sym_db.RegisterMessage(PacketGeneratorOptions)
-
-PacketGeneratorConfig = _reflection.GeneratedProtocolMessageType('PacketGeneratorConfig', (_message.Message,), dict(
-  DESCRIPTOR = _PACKETGENERATORCONFIG,
-  __module__ = 'mediapipe.framework.packet_generator_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.PacketGeneratorConfig)
-  ))
-_sym_db.RegisterMessage(PacketGeneratorConfig)
-
-
-DESCRIPTOR._options = None
-# @@protoc_insertion_point(module_scope)

src/p2/tools/status_handler_pb2.py

@@ -1,95 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: mediapipe/framework/status_handler.proto
-
-import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-from mediapipe.framework import mediapipe_options_pb2 as mediapipe_dot_framework_dot_mediapipe__options__pb2
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-  name='mediapipe/framework/status_handler.proto',
-  package='mediapipe',
-  syntax='proto2',
-  serialized_options=_b('\n\032com.google.mediapipe.protoB\022StatusHandlerProto'),
-  serialized_pb=_b('\n(mediapipe/framework/status_handler.proto\x12\tmediapipe\x1a+mediapipe/framework/mediapipe_options.proto\"\x8f\x01\n\x13StatusHandlerConfig\x12\x16\n\x0estatus_handler\x18\x01 \x01(\t\x12\x19\n\x11input_side_packet\x18\x02 \x03(\t\x12\x17\n\x0e\x65xternal_input\x18\xea\x07 \x03(\t\x12,\n\x07options\x18\x03 \x01(\x0b\x32\x1b.mediapipe.MediaPipeOptionsB0\n\x1a\x63om.google.mediapipe.protoB\x12StatusHandlerProto')
-  ,
-  dependencies=[mediapipe_dot_framework_dot_mediapipe__options__pb2.DESCRIPTOR,])
-
-
-
-
-_STATUSHANDLERCONFIG = _descriptor.Descriptor(
-  name='StatusHandlerConfig',
-  full_name='mediapipe.StatusHandlerConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='status_handler', full_name='mediapipe.StatusHandlerConfig.status_handler', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_side_packet', full_name='mediapipe.StatusHandlerConfig.input_side_packet', index=1,
-      number=2, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='external_input', full_name='mediapipe.StatusHandlerConfig.external_input', index=2,
-      number=1002, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='options', full_name='mediapipe.StatusHandlerConfig.options', index=3,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=101,
-  serialized_end=244,
-)
-
-_STATUSHANDLERCONFIG.fields_by_name['options'].message_type = mediapipe_dot_framework_dot_mediapipe__options__pb2._MEDIAPIPEOPTIONS
-DESCRIPTOR.message_types_by_name['StatusHandlerConfig'] = _STATUSHANDLERCONFIG
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-StatusHandlerConfig = _reflection.GeneratedProtocolMessageType('StatusHandlerConfig', (_message.Message,), dict(
-  DESCRIPTOR = _STATUSHANDLERCONFIG,
-  __module__ = 'mediapipe.framework.status_handler_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.StatusHandlerConfig)
-  ))
-_sym_db.RegisterMessage(StatusHandlerConfig)
-
-
-DESCRIPTOR._options = None
-# @@protoc_insertion_point(module_scope)

src/p2/tools/stream_handler_pb2.py

@@ -1,135 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: mediapipe/framework/stream_handler.proto
-
-import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-from mediapipe.framework import mediapipe_options_pb2 as mediapipe_dot_framework_dot_mediapipe__options__pb2
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-  name='mediapipe/framework/stream_handler.proto',
-  package='mediapipe',
-  syntax='proto2',
-  serialized_options=_b('\n\032com.google.mediapipe.protoB\022StreamHandlerProto'),
-  serialized_pb=_b('\n(mediapipe/framework/stream_handler.proto\x12\tmediapipe\x1a+mediapipe/framework/mediapipe_options.proto\"\x81\x01\n\x18InputStreamHandlerConfig\x12\x37\n\x14input_stream_handler\x18\x01 \x01(\t:\x19\x44\x65\x66\x61ultInputStreamHandler\x12,\n\x07options\x18\x03 \x01(\x0b\x32\x1b.mediapipe.MediaPipeOptions\"\x9f\x01\n\x19OutputStreamHandlerConfig\x12\x39\n\x15output_stream_handler\x18\x01 \x01(\t:\x1aInOrderOutputStreamHandler\x12\x19\n\x11input_side_packet\x18\x02 \x03(\t\x12,\n\x07options\x18\x03 \x01(\x0b\x32\x1b.mediapipe.MediaPipeOptionsB0\n\x1a\x63om.google.mediapipe.protoB\x12StreamHandlerProto')
-  ,
-  dependencies=[mediapipe_dot_framework_dot_mediapipe__options__pb2.DESCRIPTOR,])
-
-
-
-
-_INPUTSTREAMHANDLERCONFIG = _descriptor.Descriptor(
-  name='InputStreamHandlerConfig',
-  full_name='mediapipe.InputStreamHandlerConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='input_stream_handler', full_name='mediapipe.InputStreamHandlerConfig.input_stream_handler', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=True, default_value=_b("DefaultInputStreamHandler").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='options', full_name='mediapipe.InputStreamHandlerConfig.options', index=1,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=101,
-  serialized_end=230,
-)
-
-
-_OUTPUTSTREAMHANDLERCONFIG = _descriptor.Descriptor(
-  name='OutputStreamHandlerConfig',
-  full_name='mediapipe.OutputStreamHandlerConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='output_stream_handler', full_name='mediapipe.OutputStreamHandlerConfig.output_stream_handler', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=True, default_value=_b("InOrderOutputStreamHandler").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_side_packet', full_name='mediapipe.OutputStreamHandlerConfig.input_side_packet', index=1,
-      number=2, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='options', full_name='mediapipe.OutputStreamHandlerConfig.options', index=2,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=233,
-  serialized_end=392,
-)
-
-_INPUTSTREAMHANDLERCONFIG.fields_by_name['options'].message_type = mediapipe_dot_framework_dot_mediapipe__options__pb2._MEDIAPIPEOPTIONS
-_OUTPUTSTREAMHANDLERCONFIG.fields_by_name['options'].message_type = mediapipe_dot_framework_dot_mediapipe__options__pb2._MEDIAPIPEOPTIONS
-DESCRIPTOR.message_types_by_name['InputStreamHandlerConfig'] = _INPUTSTREAMHANDLERCONFIG
-DESCRIPTOR.message_types_by_name['OutputStreamHandlerConfig'] = _OUTPUTSTREAMHANDLERCONFIG
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-InputStreamHandlerConfig = _reflection.GeneratedProtocolMessageType('InputStreamHandlerConfig', (_message.Message,), dict(
-  DESCRIPTOR = _INPUTSTREAMHANDLERCONFIG,
-  __module__ = 'mediapipe.framework.stream_handler_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.InputStreamHandlerConfig)
-  ))
-_sym_db.RegisterMessage(InputStreamHandlerConfig)
-
-OutputStreamHandlerConfig = _reflection.GeneratedProtocolMessageType('OutputStreamHandlerConfig', (_message.Message,), dict(
-  DESCRIPTOR = _OUTPUTSTREAMHANDLERCONFIG,
-  __module__ = 'mediapipe.framework.stream_handler_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.OutputStreamHandlerConfig)
-  ))
-_sym_db.RegisterMessage(OutputStreamHandlerConfig)
-
-
-DESCRIPTOR._options = None
-# @@protoc_insertion_point(module_scope)

src/p2/tools/test_calculators_pb2.py

@@ -1,113 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: mediapipe/framework/test_calculators.proto
-
-import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-from mediapipe.framework import calculator_pb2 as mediapipe_dot_framework_dot_calculator__pb2
-try:
-  mediapipe_dot_framework_dot_calculator__options__pb2 = mediapipe_dot_framework_dot_calculator__pb2.mediapipe_dot_framework_dot_calculator__options__pb2
-except AttributeError:
-  mediapipe_dot_framework_dot_calculator__options__pb2 = mediapipe_dot_framework_dot_calculator__pb2.mediapipe.framework.calculator_options_pb2
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-  name='mediapipe/framework/test_calculators.proto',
-  package='mediapipe',
-  syntax='proto2',
-  serialized_options=None,
-  serialized_pb=_b('\n*mediapipe/framework/test_calculators.proto\x12\tmediapipe\x1a$mediapipe/framework/calculator.proto\"\xdd\x01\n\x1dRandomMatrixCalculatorOptions\x12\x0c\n\x04rows\x18\x01 \x01(\x05\x12\x0c\n\x04\x63ols\x18\x02 \x01(\x05\x12\x17\n\x0fstart_timestamp\x18\x03 \x01(\x03\x12\x17\n\x0flimit_timestamp\x18\x04 \x01(\x03\x12\x16\n\x0etimestamp_step\x18\x05 \x01(\x03\x32V\n\x03\x65xt\x12\x1c.mediapipe.CalculatorOptions\x18\xc8\xa0\xe9\x18 \x01(\x0b\x32(.mediapipe.RandomMatrixCalculatorOptions')
-  ,
-  dependencies=[mediapipe_dot_framework_dot_calculator__pb2.DESCRIPTOR,])
-
-
-
-
-_RANDOMMATRIXCALCULATOROPTIONS = _descriptor.Descriptor(
-  name='RandomMatrixCalculatorOptions',
-  full_name='mediapipe.RandomMatrixCalculatorOptions',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='rows', full_name='mediapipe.RandomMatrixCalculatorOptions.rows', index=0,
-      number=1, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='cols', full_name='mediapipe.RandomMatrixCalculatorOptions.cols', index=1,
-      number=2, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='start_timestamp', full_name='mediapipe.RandomMatrixCalculatorOptions.start_timestamp', index=2,
-      number=3, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='limit_timestamp', full_name='mediapipe.RandomMatrixCalculatorOptions.limit_timestamp', index=3,
-      number=4, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='timestamp_step', full_name='mediapipe.RandomMatrixCalculatorOptions.timestamp_step', index=4,
-      number=5, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-    _descriptor.FieldDescriptor(
-      name='ext', full_name='mediapipe.RandomMatrixCalculatorOptions.ext', index=0,
-      number=52056136, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=True, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=96,
-  serialized_end=317,
-)
-
-DESCRIPTOR.message_types_by_name['RandomMatrixCalculatorOptions'] = _RANDOMMATRIXCALCULATOROPTIONS
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-RandomMatrixCalculatorOptions = _reflection.GeneratedProtocolMessageType('RandomMatrixCalculatorOptions', (_message.Message,), dict(
-  DESCRIPTOR = _RANDOMMATRIXCALCULATOROPTIONS,
-  __module__ = 'mediapipe.framework.test_calculators_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.RandomMatrixCalculatorOptions)
-  ))
-_sym_db.RegisterMessage(RandomMatrixCalculatorOptions)
-
-_RANDOMMATRIXCALCULATOROPTIONS.extensions_by_name['ext'].message_type = _RANDOMMATRIXCALCULATOROPTIONS
-mediapipe_dot_framework_dot_calculator__options__pb2.CalculatorOptions.RegisterExtension(_RANDOMMATRIXCALCULATOROPTIONS.extensions_by_name['ext'])
-
-# @@protoc_insertion_point(module_scope)

src/p2/tools/thread_pool_executor_pb2.py

@@ -1,138 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: mediapipe/framework/thread_pool_executor.proto
-
-import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-from mediapipe.framework import mediapipe_options_pb2 as mediapipe_dot_framework_dot_mediapipe__options__pb2
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-  name='mediapipe/framework/thread_pool_executor.proto',
-  package='mediapipe',
-  syntax='proto2',
-  serialized_options=None,
-  serialized_pb=_b('\n.mediapipe/framework/thread_pool_executor.proto\x12\tmediapipe\x1a+mediapipe/framework/mediapipe_options.proto\"\xe9\x02\n\x19ThreadPoolExecutorOptions\x12\x13\n\x0bnum_threads\x18\x01 \x01(\x05\x12\x12\n\nstack_size\x18\x02 \x01(\x05\x12\x1b\n\x13nice_priority_level\x18\x03 \x01(\x05\x12`\n\x1drequire_processor_performance\x18\x04 \x01(\x0e\x32\x39.mediapipe.ThreadPoolExecutorOptions.ProcessorPerformance\x12\x1a\n\x12thread_name_prefix\x18\x05 \x01(\t\"5\n\x14ProcessorPerformance\x12\n\n\x06NORMAL\x10\x00\x12\x07\n\x03LOW\x10\x01\x12\x08\n\x04HIGH\x10\x02\x32Q\n\x03\x65xt\x12\x1b.mediapipe.MediaPipeOptions\x18\x93\xd3\xf5J \x01(\x0b\x32$.mediapipe.ThreadPoolExecutorOptions')
-  ,
-  dependencies=[mediapipe_dot_framework_dot_mediapipe__options__pb2.DESCRIPTOR,])
-
-
-
-_THREADPOOLEXECUTOROPTIONS_PROCESSORPERFORMANCE = _descriptor.EnumDescriptor(
-  name='ProcessorPerformance',
-  full_name='mediapipe.ThreadPoolExecutorOptions.ProcessorPerformance',
-  filename=None,
-  file=DESCRIPTOR,
-  values=[
-    _descriptor.EnumValueDescriptor(
-      name='NORMAL', index=0, number=0,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='LOW', index=1, number=1,
-      serialized_options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='HIGH', index=2, number=2,
-      serialized_options=None,
-      type=None),
-  ],
-  containing_type=None,
-  serialized_options=None,
-  serialized_start=332,
-  serialized_end=385,
-)
-_sym_db.RegisterEnumDescriptor(_THREADPOOLEXECUTOROPTIONS_PROCESSORPERFORMANCE)
-
-
-_THREADPOOLEXECUTOROPTIONS = _descriptor.Descriptor(
-  name='ThreadPoolExecutorOptions',
-  full_name='mediapipe.ThreadPoolExecutorOptions',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='num_threads', full_name='mediapipe.ThreadPoolExecutorOptions.num_threads', index=0,
-      number=1, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='stack_size', full_name='mediapipe.ThreadPoolExecutorOptions.stack_size', index=1,
-      number=2, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='nice_priority_level', full_name='mediapipe.ThreadPoolExecutorOptions.nice_priority_level', index=2,
-      number=3, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='require_processor_performance', full_name='mediapipe.ThreadPoolExecutorOptions.require_processor_performance', index=3,
-      number=4, type=14, cpp_type=8, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='thread_name_prefix', full_name='mediapipe.ThreadPoolExecutorOptions.thread_name_prefix', index=4,
-      number=5, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-    _descriptor.FieldDescriptor(
-      name='ext', full_name='mediapipe.ThreadPoolExecutorOptions.ext', index=0,
-      number=157116819, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=True, extension_scope=None,
-      serialized_options=None, file=DESCRIPTOR),
-  ],
-  nested_types=[],
-  enum_types=[
-    _THREADPOOLEXECUTOROPTIONS_PROCESSORPERFORMANCE,
-  ],
-  serialized_options=None,
-  is_extendable=False,
-  syntax='proto2',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=107,
-  serialized_end=468,
-)
-
-_THREADPOOLEXECUTOROPTIONS.fields_by_name['require_processor_performance'].enum_type = _THREADPOOLEXECUTOROPTIONS_PROCESSORPERFORMANCE
-_THREADPOOLEXECUTOROPTIONS_PROCESSORPERFORMANCE.containing_type = _THREADPOOLEXECUTOROPTIONS
-DESCRIPTOR.message_types_by_name['ThreadPoolExecutorOptions'] = _THREADPOOLEXECUTOROPTIONS
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-ThreadPoolExecutorOptions = _reflection.GeneratedProtocolMessageType('ThreadPoolExecutorOptions', (_message.Message,), dict(
-  DESCRIPTOR = _THREADPOOLEXECUTOROPTIONS,
-  __module__ = 'mediapipe.framework.thread_pool_executor_pb2'
-  # @@protoc_insertion_point(class_scope:mediapipe.ThreadPoolExecutorOptions)
-  ))
-_sym_db.RegisterMessage(ThreadPoolExecutorOptions)
-
-_THREADPOOLEXECUTOROPTIONS.extensions_by_name['ext'].message_type = _THREADPOOLEXECUTOROPTIONS
-mediapipe_dot_framework_dot_mediapipe__options__pb2.MediaPipeOptions.RegisterExtension(_THREADPOOLEXECUTOROPTIONS.extensions_by_name['ext'])
-
-# @@protoc_insertion_point(module_scope)

src/p2/train.py

@@ -1,115 +0,0 @@
-import csv
-import random
-import tensorflow as tf
-import os
-column_names = []
-
-train_feature=[]
-train_label=[]
-test_feature=[]
-test_label=[]
-
-with open("test.csv","r") as r:
-    reader = csv.reader(r)
-    for i in reader:
-        rand = random.randint(0,100)
-        if rand<=85:
-            train_label.append((eval(i.pop())))
-            b = [eval(j) for j in i]
-            train_feature.append(b)
-        else:
-            test_label.append((eval(i.pop())))
-            b = [eval(j) for j in i]
-            test_feature.append(b)
-train_features = tf.constant(train_feature)
-train_labels = tf.constant(train_label)
-test_features = tf.constant(test_feature)
-test_labels = tf.constant(test_label)
-
-
-model = tf.keras.Sequential([
-  tf.keras.layers.Flatten(input_shape=(252,)),
-  tf.keras.layers.Dense(10, activation=tf.nn.relu),  # input shape required
-  tf.keras.layers.Dense(10, activation=tf.nn.relu),
-  tf.keras.layers.Dense(6)
-])
-predictions = model(train_features)
-tf.nn.softmax(predictions[:5])
-print("Prediction: {}".format(tf.argmax(predictions, axis=1)))
-print("    Labels: {}".format(train_labels))
-loss_object = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
-
-def loss(model, x, y, training):
-  # training=training is needed only if there are layers with different
-  # behavior during training versus inference (e.g. Dropout).
-  y_ = model(x, training=training)
-
-  return loss_object(y_true=y, y_pred=y_)
-l = loss(model, train_features, train_labels, training=False)
-def grad(model, inputs, targets):
-  with tf.GradientTape() as tape:
-    loss_value = loss(model, inputs, targets, training=True)
-  return loss_value, tape.gradient(loss_value, model.trainable_variables)
-
-optimizer = tf.keras.optimizers.SGD(learning_rate=0.01)
-loss_value, grads = grad(model, train_features, train_labels)
-
-print("Step: {}, Initial Loss: {}".format(optimizer.iterations.numpy(),
-                                          loss_value.numpy()))
-
-optimizer.apply_gradients(zip(grads, model.trainable_variables))
-
-print("Step: {},         Loss: {}".format(optimizer.iterations.numpy(),
-                                          loss(model, train_features, train_labels, training=True).numpy()))
-
-## Note: Rerunning this cell uses the same model variables
-
-# Keep results for plotting
-train_loss_results = []
-train_accuracy_results = []
-
-num_epochs = 351
-
-for epoch in range(num_epochs):
-  epoch_loss_avg = tf.keras.metrics.Mean()
-  epoch_accuracy = tf.keras.metrics.SparseCategoricalAccuracy()
-
-  # Training loop - using batches of 32
-  branch = 32
-  for num in range(len(train_features)//branch):
-    x = train_features[num*branch:(num+1)*branch]
-    y = train_labels[num*branch:(num+1)*branch]
-    # Optimize the model
-    loss_value, grads = grad(model, x, y)
-    optimizer.apply_gradients(zip(grads, model.trainable_variables))
-
-    # Track progress
-    epoch_loss_avg.update_state(loss_value)  # Add current batch loss
-    # Compare predicted label to actual label
-    # training=True is needed only if there are layers with different
-    # behavior during training versus inference (e.g. Dropout).
-    epoch_accuracy.update_state(y, model(x, training=True))
-
-  # End epoch
-  train_loss_results.append(epoch_loss_avg.result())
-  train_accuracy_results.append(epoch_accuracy.result())
-
-  if epoch % 50 == 0:
-    print("Epoch {:03d}: Loss: {:.3f}, Accuracy: {:.3%}".format(epoch,
-                                                                epoch_loss_avg.result(),
-                                                                epoch_accuracy.result()))
-
-test_accuracy = tf.keras.metrics.Accuracy()
-model.save("model")
-
-for num in range(len(test_features)):
-  # training=False is needed only if there are layers with different
-  # behavior during training versus inference (e.g. Dropout).
-  x = test_features[num:num+1]
-  y = test_labels[num:num+1]
-  logits = model(x, training=False)
-  prediction = tf.argmax(logits, axis=1, output_type=tf.int32)
-  print("真实值为",y,"预测值为",prediction)
-  test_accuracy(prediction, y)
-
-print("Test set accuracy: {:.3%}".format(test_accuracy.result()))