{"id":319157,"date":"2021-03-07T03:00:58","date_gmt":"2021-03-07T03:00:58","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=319157"},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-29T21:00:00","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=319157","title":{"rendered":"\u041e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u043d\u0438\u0435 \u043b\u0438\u0446 \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u0432 \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u0435 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c TensorFlow.js. \u0427\u0430\u0441\u0442\u044c 5"},"content":{"rendered":"\n
\n
<\/figcaption><\/figure>\n

\u041d\u043e\u0441\u0438\u0442\u044c \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u0430\u043a\u0441\u0435\u0441\u0441\u0443\u0430\u0440\u044b \u2013 \u044d\u0442\u043e \u0432\u0435\u0441\u0435\u043b\u043e, \u043d\u043e \u0434\u043e \u0438\u0445 \u043d\u043e\u0448\u0435\u043d\u0438\u044f \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u0439 \u0436\u0438\u0437\u043d\u0438 \u0432\u0441\u0435\u0433\u043e \u043e\u0434\u0438\u043d \u0448\u0430\u0433. \u041c\u044b \u043c\u043e\u0433\u043b\u0438 \u0431\u044b \u043b\u0435\u0433\u043a\u043e \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u043e \u043f\u0440\u0438\u043c\u0435\u0440\u044f\u0442\u044c \u0448\u043b\u044f\u043f\u044b \u2013 \u0438\u043c\u0435\u043d\u043d\u043e \u0442\u0430\u043a\u043e\u0435 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u0432\u044b \u043c\u043e\u0433\u043b\u0438 \u0431\u044b \u0437\u0430\u0445\u043e\u0442\u0435\u0442\u044c \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0434\u043b\u044f \u0432\u0435\u0431-\u0441\u0430\u0439\u0442\u0430 \u044d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u043e\u0439 \u043a\u043e\u043c\u043c\u0435\u0440\u0446\u0438\u0438. \u041d\u043e, \u0435\u0441\u043b\u0438 \u043c\u044b \u0441\u043e\u0431\u0438\u0440\u0430\u0435\u043c\u0441\u044f \u044d\u0442\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c, \u043f\u043e\u0447\u0435\u043c\u0443 \u0431\u044b \u043f\u0440\u0438 \u044d\u0442\u043e\u043c \u043d\u0435 \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u043d\u0435\u043c\u043d\u043e\u0433\u043e \u0431\u043e\u043b\u044c\u0448\u0435 \u0443\u0434\u043e\u0432\u043e\u043b\u044c\u0441\u0442\u0432\u0438\u044f? \u041f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0435 \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u0435 \u0437\u0430\u043c\u0435\u0447\u0430\u0442\u0435\u043b\u044c\u043d\u043e \u0442\u0435\u043c, \u0447\u0442\u043e \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0432\u043e\u043f\u043b\u043e\u0442\u0438\u0442\u044c \u0432 \u0436\u0438\u0437\u043d\u044c \u0441\u0432\u043e\u0451 \u0432\u043e\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435. <\/p>\n

\u0412 \u044d\u0442\u043e\u0439 \u0441\u0442\u0430\u0442\u044c\u0435 \u043c\u044b \u0441\u043e\u0431\u0438\u0440\u0430\u0435\u043c\u0441\u044f \u0441\u043e\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0432\u0441\u0435 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0435 \u0447\u0430\u0441\u0442\u0438, \u0447\u0442\u043e\u0431\u044b \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0432\u043e\u043b\u0448\u0435\u0431\u043d\u0443\u044e \u0448\u043b\u044f\u043f\u0443 \u0434\u043b\u044f \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u044d\u043c\u043e\u0446\u0438\u0439, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0451\u0442 \u0438 \u0440\u0435\u0430\u0433\u0438\u0440\u0443\u0435\u0442 \u043d\u0430 \u0432\u044b\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043b\u0438\u0446, \u043a\u043e\u0433\u0434\u0430 \u043c\u044b \u043d\u043e\u0441\u0438\u043c \u0435\u0451 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u043e. <\/p>\n

\n

\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u0430\u0433\u0440\u0443\u0437\u0438\u0442\u044c \u0434\u0435\u043c\u043e\u0432\u0435\u0440\u0441\u0438\u044e \u044d\u0442\u043e\u0433\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0430. \u0414\u043b\u044f \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e\u0439 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0432\u043a\u043b\u044e\u0447\u0438\u0442\u044c \u0432 \u0432\u0435\u0431-\u0431\u0440\u0430\u0443\u0437\u0435\u0440\u0435 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0443 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430 WebGL. \u0412\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u0430\u0433\u0440\u0443\u0437\u0438\u0442\u044c \u043a\u043e\u0434 \u0438 \u0444\u0430\u0439\u043b\u044b<\/u><\/a> \u0434\u043b\u044f \u044d\u0442\u043e\u0439 \u0441\u0435\u0440\u0438\u0438. \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u0430\u0433\u0430\u0435\u0442\u0441\u044f, \u0447\u0442\u043e \u0432\u044b \u0437\u043d\u0430\u043a\u043e\u043c\u044b \u0441 JavaScript \u0438 HTML \u0438 \u0438\u043c\u0435\u0435\u0442\u0435 \u0445\u043e\u0442\u044f \u0431\u044b \u0431\u0430\u0437\u043e\u0432\u043e\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u043e \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u0445 \u0441\u0435\u0442\u044f\u0445. <\/p>\n

\u0421\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0432\u043e\u043b\u0448\u0435\u0431\u043d\u043e\u0439 \u0448\u043b\u044f\u043f\u044b<\/h2>\n

\u041f\u043e\u043c\u043d\u0438\u0442\u0435, \u043a\u0430\u043a \u043c\u044b \u0440\u0430\u043d\u0435\u0435 \u0432 \u044d\u0442\u043e\u0439 \u0441\u0435\u0440\u0438\u0438 \u0441\u0442\u0430\u0442\u0435\u0439 \u0441\u043e\u0437\u0434\u0430\u0432\u0430\u043b\u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u044d\u043c\u043e\u0446\u0438\u0439 \u043d\u0430 \u043b\u0438\u0446\u0435 \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438? \u0422\u0435\u043f\u0435\u0440\u044c \u0434\u0430\u0432\u0430\u0439\u0442\u0435 \u0434\u043e\u0431\u0430\u0432\u0438\u043c \u043d\u0435\u043c\u043d\u043e\u0433\u043e \u0433\u0440\u0430\u0444\u0438\u043a\u0438 \u0432 \u044d\u0442\u043e\u0442 \u043f\u0440\u043e\u0435\u043a\u0442 \u2013 \u043f\u0440\u0438\u0434\u0430\u0434\u0438\u043c \u0435\u043c\u0443, \u0442\u0430\u043a \u0441\u043a\u0430\u0437\u0430\u0442\u044c, \u00ab\u043b\u0438\u0446\u043e\u00bb.<\/p>\n

\u0427\u0442\u043e\u0431\u044b \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043d\u0430\u0448\u0443 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u0443\u044e \u0448\u043b\u044f\u043f\u0443, \u043c\u044b \u0441\u043e\u0431\u0438\u0440\u0430\u0435\u043c\u0441\u044f \u0434\u043e\u0431\u0430\u0432\u0438\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b \u043d\u0430 \u0432\u0435\u0431-\u0441\u0442\u0440\u0430\u043d\u0438\u0446\u0443 \u043a\u0430\u043a \u0441\u043a\u0440\u044b\u0442\u044b\u0435 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b img<\/code>:<\/p>\n

<img id=\"hat-angry\" src=\"web\/hats\/angry.png\" style=\"visibility: hidden;\" \/> <img id=\"hat-disgust\" src=\"web\/hats\/disgust.png\" style=\"visibility: hidden;\" \/> <img id=\"hat-fear\" src=\"web\/hats\/fear.png\" style=\"visibility: hidden;\" \/> <img id=\"hat-happy\" src=\"web\/hats\/happy.png\" style=\"visibility: hidden;\" \/> <img id=\"hat-neutral\" src=\"web\/hats\/neutral.png\" style=\"visibility: hidden;\" \/> <img id=\"hat-sad\" src=\"web\/hats\/sad.png\" style=\"visibility: hidden;\" \/> <img id=\"hat-surprise\" src=\"web\/hats\/surprise.png\" style=\"visibility: hidden;\" \/><\/code><\/pre>\n
\u041a\u043b\u044e\u0447\u0435\u0432\u043e\u0435 \u0441\u0432\u043e\u0439\u0441\u0442\u0432\u043e \u044d\u0442\u043e\u0433\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0430 \u0437\u0430\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0441\u044f \u0432 \u0442\u043e\u043c, \u0447\u0442\u043e \u0448\u043b\u044f\u043f\u0430 \u0434\u043e\u043b\u0436\u043d\u0430 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0442\u044c\u0441\u044f \u0432\u0441\u0451 \u0432\u0440\u0435\u043c\u044f, \u0432 \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e\u043c \u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0438 \u0438 \u0441 \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u044b\u043c \u0440\u0430\u0437\u043c\u0435\u0440\u043e\u043c, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u043c\u044b \u0441\u043e\u0445\u0440\u0430\u043d\u0438\u043c \u00ab\u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u044f\u00bb \u0448\u043b\u044f\u043f\u044b \u0432 \u0433\u043b\u043e\u0431\u0430\u043b\u044c\u043d\u043e\u0439 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439:<\/p>\n
let currentEmotion = \"neutral\"; let hat = { scale: { x: 0, y: 0 }, position: { x: 0, y: 0 } };<\/code><\/pre>\n
\u0420\u0438\u0441\u043e\u0432\u0430\u0442\u044c \u0448\u043b\u044f\u043f\u0443 \u044d\u0442\u043e\u0433\u043e \u0440\u0430\u0437\u043c\u0435\u0440\u0430 \u0438 \u0432 \u044d\u0442\u043e\u043c \u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0438 \u043c\u044b \u0431\u0443\u0434\u0435\u043c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e 2D-\u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u043f\u043e\u043b\u043e\u0442\u043d\u0430 \u0432 \u043a\u0430\u0436\u0434\u043e\u043c \u043a\u0430\u0434\u0440\u0435.<\/p>\n
async function trackFace() {     ...      output.drawImage(         video,         0, 0, video.width, video.height,         0, 0, video.width, video.height     );     let hatImage = document.getElementById( `hat-${currentEmotion}` );     output.save();     output.translate( -hatImage.width \/ 2, -hatImage.height \/ 2 );     output.translate( hat.position.x, hat.position.y );     output.drawImage(         hatImage,         0, 0, hatImage.width, hatImage.height,         0, 0, hatImage.width * hat.scale, hatImage.height * hat.scale     );     output.restore();      ... }<\/code><\/pre>\n
\u041f\u043e \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u043c \u0442\u043e\u0447\u043a\u0430\u043c \u043b\u0438\u0446\u0430, \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u043c\u044b\u043c TensorFlow, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0440\u0430\u0437\u043c\u0435\u0440 \u0438 \u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u0448\u043b\u044f\u043f\u044b \u043e\u0442\u043d\u043e\u0441\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u043b\u0438\u0446\u0430, \u0447\u0442\u043e\u0431\u044b \u0437\u0430\u0434\u0430\u0442\u044c \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u044b\u0435 \u0432\u044b\u0448\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f. <\/p>\n
\u0420\u0430\u0437\u043c\u0435\u0440 \u0433\u043e\u043b\u043e\u0432\u044b \u043c\u043e\u0436\u043d\u043e \u043e\u0446\u0435\u043d\u0438\u0442\u044c \u043f\u043e \u0440\u0430\u0441\u0441\u0442\u043e\u044f\u043d\u0438\u044e \u043c\u0435\u0436\u0434\u0443 \u0433\u043b\u0430\u0437\u0430\u043c\u0438. \u0412\u0435\u043a\u0442\u043e\u0440 \u00ab\u0432\u0432\u0435\u0440\u0445\u00bb \u0430\u043f\u043f\u0440\u043e\u043a\u0441\u0438\u043c\u0438\u0440\u0443\u0435\u043c \u043f\u043e \u0442\u043e\u0447\u043a\u0435 midwayBetweenEyes<\/code> \u0438 \u0442\u043e\u0447\u043a\u0435 noseBottom<\/code>, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u043c\u0435\u0449\u0435\u043d\u0438\u044f \u0448\u043b\u044f\u043f\u044b \u0432\u0432\u0435\u0440\u0445 \u0431\u043b\u0438\u0436\u0435 \u043a \u0432\u0435\u0440\u0445\u043d\u0435\u0439 \u0447\u0430\u0441\u0442\u0438 \u043b\u0438\u0446\u0430 (\u0432 \u043e\u0442\u043b\u0438\u0447\u0438\u0435 \u043e\u0442 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0445 \u043e\u0447\u043a\u043e\u0432 \u0438\u0437 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0435\u0439 \u0441\u0442\u0430\u0442\u044c\u0438<\/a>). <\/p>\n
const eyeDist = Math.sqrt(     ( face.annotations.leftEyeUpper1[ 3 ][ 0 ] - face.annotations.rightEyeUpper1[ 3 ][ 0 ] ) ** 2 +     ( face.annotations.leftEyeUpper1[ 3 ][ 1 ] - face.annotations.rightEyeUpper1[ 3 ][ 1 ] ) ** 2 +     ( face.annotations.leftEyeUpper1[ 3 ][ 2 ] - face.annotations.rightEyeUpper1[ 3 ][ 2 ] ) ** 2 );  const faceScale = eyeDist \/ 80; let upX = face.annotations.midwayBetweenEyes[ 0 ][ 0 ] - face.annotations.noseBottom[ 0 ][ 0 ]; let upY = face.annotations.midwayBetweenEyes[ 0 ][ 1 ] - face.annotations.noseBottom[ 0 ][ 1 ]; const length = Math.sqrt( upX ** 2 + upY ** 2 ); upX \/= length; upY \/= length;  hat = {     scale: faceScale,     position: {         x: face.annotations.midwayBetweenEyes[ 0 ][ 0 ] + upX * 100 * faceScale,         y: face.annotations.midwayBetweenEyes[ 0 ][ 1 ] + upY * 100 * faceScale,     } };<\/code><\/pre>\n
\u041f\u043e\u0441\u043b\u0435 \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u044f \u0441\u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u044d\u043c\u043e\u0446\u0438\u0438 \u0432 currentEmotion<\/code> \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442\u0441\u044f \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u0448\u043b\u044f\u043f\u044b, \u0438 \u043c\u044b \u0433\u043e\u0442\u043e\u0432\u044b \u0435\u0451 \u043f\u0440\u0438\u043c\u0435\u0440\u0438\u0442\u044c!<\/p>\n
if( points ) {     let emotion = await predictEmotion( points );     setText( `Detected: ${emotion}` );     currentEmotion = emotion; } else {     setText( \"No Face\" ); }<\/code><\/pre>\n
\n\u0412\u043e\u0442 \u043f\u043e\u043b\u043d\u044b\u0439 \u043a\u043e\u0434 \u044d\u0442\u043e\u0433\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0430<\/summary>\n
\n
<html>     <head>         <title>Building a Magical Emotion Detection Hat<\/title>         <script src=\"https:\/\/cdn.jsdelivr.net\/npm\/@tensorflow\/tfjs@2.4.0\/dist\/tf.min.js\"><\/script>         <script src=\"https:\/\/cdn.jsdelivr.net\/npm\/@tensorflow-models\/face-landmarks-detection@0.0.1\/dist\/face-landmarks-detection.js\"><\/script>     <\/head>     <body>         <canvas id=\"output\"><\/canvas>         <video id=\"webcam\" playsinline style=\"             visibility: hidden;             width: auto;             height: auto;             \">         <\/video>         <h1 id=\"status\">Loading...<\/h1>         <img id=\"hat-angry\" src=\"web\/hats\/angry.png\" style=\"visibility: hidden;\" \/>         <img id=\"hat-disgust\" src=\"web\/hats\/disgust.png\" style=\"visibility: hidden;\" \/>         <img id=\"hat-fear\" src=\"web\/hats\/fear.png\" style=\"visibility: hidden;\" \/>         <img id=\"hat-happy\" src=\"web\/hats\/happy.png\" style=\"visibility: hidden;\" \/>         <img id=\"hat-neutral\" src=\"web\/hats\/neutral.png\" style=\"visibility: hidden;\" \/>         <img id=\"hat-sad\" src=\"web\/hats\/sad.png\" style=\"visibility: hidden;\" \/>         <img id=\"hat-surprise\" src=\"web\/hats\/surprise.png\" style=\"visibility: hidden;\" \/>         <script>         function setText( text ) {             document.getElementById( \"status\" ).innerText = text;         }          function drawLine( ctx, x1, y1, x2, y2 ) {             ctx.beginPath();             ctx.moveTo( x1, y1 );             ctx.lineTo( x2, y2 );             ctx.stroke();         }          async function setupWebcam() {             return new Promise( ( resolve, reject ) => {                 const webcamElement = document.getElementById( \"webcam\" );                 const navigatorAny = navigator;                 navigator.getUserMedia = navigator.getUserMedia ||                 navigatorAny.webkitGetUserMedia || navigatorAny.mozGetUserMedia ||                 navigatorAny.msGetUserMedia;                 if( navigator.getUserMedia ) {                     navigator.getUserMedia( { video: true },                         stream => {                             webcamElement.srcObject = stream;                             webcamElement.addEventListener( \"loadeddata\", resolve, false );                         },                     error => reject());                 }                 else {                     reject();                 }             });         }          const emotions = [ \"angry\", \"disgust\", \"fear\", \"happy\", \"neutral\", \"sad\", \"surprise\" ];         let emotionModel = null;          let output = null;         let model = null;          let currentEmotion = \"neutral\";         let hat = { scale: { x: 0, y: 0 }, position: { x: 0, y: 0 } };          async function predictEmotion( points ) {             let result = tf.tidy( () => {                 const xs = tf.stack( [ tf.tensor1d( points ) ] );                 return emotionModel.predict( xs );             });             let prediction = await result.data();             result.dispose();             \/\/ Get the index of the maximum value             let id = prediction.indexOf( Math.max( ...prediction ) );             return emotions[ id ];         }          async function trackFace() {             const video = document.querySelector( \"video\" );             const faces = await model.estimateFaces( {                 input: video,                 returnTensors: false,                 flipHorizontal: false,             });             output.drawImage(                 video,                 0, 0, video.width, video.height,                 0, 0, video.width, video.height             );             let hatImage = document.getElementById( `hat-${currentEmotion}` );             output.save();             output.translate( -hatImage.width \/ 2, -hatImage.height \/ 2 );             output.translate( hat.position.x, hat.position.y );             output.drawImage(                 hatImage,                 0, 0, hatImage.width, hatImage.height,                 0, 0, hatImage.width * hat.scale, hatImage.height * hat.scale             );             output.restore();              let points = null;             faces.forEach( face => {                 const x1 = face.boundingBox.topLeft[ 0 ];                 const y1 = face.boundingBox.topLeft[ 1 ];                 const x2 = face.boundingBox.bottomRight[ 0 ];                 const y2 = face.boundingBox.bottomRight[ 1 ];                 const bWidth = x2 - x1;                 const bHeight = y2 - y1;                  \/\/ Add just the nose, cheeks, eyes, eyebrows & mouth                 const features = [                     \"noseTip\",                     \"leftCheek\",                     \"rightCheek\",                     \"leftEyeLower1\", \"leftEyeUpper1\",                     \"rightEyeLower1\", \"rightEyeUpper1\",                     \"leftEyebrowLower\", \/\/\"leftEyebrowUpper\",                     \"rightEyebrowLower\", \/\/\"rightEyebrowUpper\",                     \"lipsLowerInner\", \/\/\"lipsLowerOuter\",                     \"lipsUpperInner\", \/\/\"lipsUpperOuter\",                 ];                 points = [];                 features.forEach( feature => {                     face.annotations[ feature ].forEach( x => {                         points.push( ( x[ 0 ] - x1 ) \/ bWidth );                         points.push( ( x[ 1 ] - y1 ) \/ bHeight );                     });                 });                  const eyeDist = Math.sqrt(                     ( face.annotations.leftEyeUpper1[ 3 ][ 0 ] - face.annotations.rightEyeUpper1[ 3 ][ 0 ] ) ** 2 +                     ( face.annotations.leftEyeUpper1[ 3 ][ 1 ] - face.annotations.rightEyeUpper1[ 3 ][ 1 ] ) ** 2 +                     ( face.annotations.leftEyeUpper1[ 3 ][ 2 ] - face.annotations.rightEyeUpper1[ 3 ][ 2 ] ) ** 2                 );                 const faceScale = eyeDist \/ 80;                 let upX = face.annotations.midwayBetweenEyes[ 0 ][ 0 ] - face.annotations.noseBottom[ 0 ][ 0 ];                 let upY = face.annotations.midwayBetweenEyes[ 0 ][ 1 ] - face.annotations.noseBottom[ 0 ][ 1 ];                 const length = Math.sqrt( upX ** 2 + upY ** 2 );                 upX \/= length;                 upY \/= length;                  hat = {                     scale: faceScale,                     position: {                         x: face.annotations.midwayBetweenEyes[ 0 ][ 0 ] + upX * 100 * faceScale,                         y: face.annotations.midwayBetweenEyes[ 0 ][ 1 ] + upY * 100 * faceScale,                     }                 };             });              if( points ) {                 let emotion = await predictEmotion( points );                 setText( `Detected: ${emotion}` );                 currentEmotion = emotion;             }             else {                 setText( \"No Face\" );             }                          requestAnimationFrame( trackFace );         }          (async () => {             await setupWebcam();             const video = document.getElementById( \"webcam\" );             video.play();             let videoWidth = video.videoWidth;             let videoHeight = video.videoHeight;             video.width = videoWidth;             video.height = videoHeight;              let canvas = document.getElementById( \"output\" );             canvas.width = video.width;             canvas.height = video.height;              output = canvas.getContext( \"2d\" );             output.translate( canvas.width, 0 );             output.scale( -1, 1 ); \/\/ Mirror cam             output.fillStyle = \"#fdffb6\";             output.strokeStyle = \"#fdffb6\";             output.lineWidth = 2;              \/\/ Load Face Landmarks Detection             model = await faceLandmarksDetection.load(                 faceLandmarksDetection.SupportedPackages.mediapipeFacemesh             );             \/\/ Load Emotion Detection             emotionModel = await tf.loadLayersModel( 'web\/model\/facemo.json' );              setText( \"Loaded!\" );              trackFace();         })();         <\/script>     <\/body> <\/html><\/code><\/pre>\n<\/div>\n<\/details>\n
\u0427\u0442\u043e \u0434\u0430\u043b\u044c\u0448\u0435? \u0412\u043e\u0437\u043c\u043e\u0436\u0435\u043d \u043b\u0438 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044c \u043f\u043e \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u044e \u0433\u043b\u0430\u0437 \u0438 \u0440\u0442\u0430?<\/h3>\n
\u0412 \u044d\u0442\u043e\u043c \u043f\u0440\u043e\u0435\u043a\u0442\u0435 \u0441\u043e\u0431\u0440\u0430\u043d\u044b \u0432\u043e\u0435\u0434\u0438\u043d\u043e \u0432\u0441\u0435 \u043a\u0443\u0441\u043a\u0438, \u0441\u043e\u0437\u0434\u0430\u043d\u043d\u044b\u0435 \u0440\u0430\u043d\u0435\u0435 \u0432 \u044d\u0442\u043e\u0439 \u0441\u0435\u0440\u0438\u0438 \u0441\u0442\u0430\u0442\u0435\u0439 \u0432 \u0446\u0435\u043b\u044f\u0445 \u0440\u0430\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u044f \u0441 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u043e\u0431\u0440\u0430\u0437\u0430\u043c\u0438. \u0410 \u0447\u0442\u043e, \u0435\u0441\u043b\u0438 \u0431\u044b \u043c\u043e\u0436\u043d\u043e \u0431\u044b\u043b\u043e \u0440\u0435\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u0442\u044c \u0432 \u043d\u0451\u043c \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435 \u0441 \u043b\u0438\u0446\u043e\u043c?<\/p>\n
\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0439, \u0437\u0430\u043a\u043b\u044e\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u0441\u0442\u0430\u0442\u044c\u0435 \u044d\u0442\u043e\u0439 \u0441\u0435\u0440\u0438\u0438 \u043c\u044b \u0440\u0435\u0430\u043b\u0438\u0437\u0443\u0435\u043c \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u0435 \u043c\u043e\u0440\u0433\u0430\u043d\u0438\u044f \u0433\u043b\u0430\u0437 \u0438 \u043e\u0442\u043a\u0440\u044b\u0432\u0430\u043d\u0438\u044f \u0440\u0442\u0430, \u0447\u0442\u043e\u0431\u044b \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u0443\u044e \u0441\u0446\u0435\u043d\u0443. \u041e\u0441\u0442\u0430\u0432\u0430\u0439\u0442\u0435\u0441\u044c \u0441 \u043d\u0430\u043c\u0438 \u0438 \u0434\u043e \u0432\u0441\u0442\u0440\u0435\u0447\u0438 \u0437\u0430\u0432\u0442\u0440\u0430, \u0432 \u044d\u0442\u043e \u0436\u0435 \u0432\u0440\u0435\u043c\u044f.<\/p>\n