metya
/
symetria.emotions
tükrözi: https://github.com/metya/symetria.emotions.git


			
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							<!doctype html>
<html lang="en">

<head>
    <!-- Required meta tags -->
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
    <script src="https://cdn.jsdelivr.net/npm/@vladmandic/human/dist/human.js"></script>
    <script src="https://code.jquery.com/jquery-3.7.0.min.js"></script>

</head>

<body>
    <div id="data-container"></div>
    {# <form id="data-form" action="/send_data" method="post"> #}
        {# <input type="hidden" name="data" id="data-input"> #}
        {# <input type="submit" value="Отправить данные"> #}
        <canvas id="canvas" style="margin: 0 auto; width: 100%"></canvas>
        <pre id="log" style="padding: 8px; position: fixed; bottom: 0"></pre>
        <script>
            console.log("start", Human);


            const humanConfig = { // user configuration for human, used to fine-tune behavior
                modelBasePath: 'https://cdn.jsdelivr.net/npm/@vladmandic/human/models/', // models can be loaded directly from cdn as well
                filter: { enabled: true, equalization: true, flip: false },
                face: { enabled: true, detector: { rotation: false }, mesh: { enabled: false }, attention: { enabled: true }, iris: { enabled: true }, description: { enabled: true }, emotion: { enabled: true } },
                body: { enabled: false },
                hand: { enabled: false },
                gesture: { enabled: false },
                object: { enabled: false },
                segmentation: { enabled: false },
            };

            const human = new Human.Human(humanConfig);
            //console.log("continue", human);

            const canvas = document.getElementById('canvas');
            //const dataForm = document.getElementById('data-form');
            //const dataInput = document.getElementById('data-input');
            //const canvas = $('#canvas').get(0)

            var interpolated
            var need_generation = true
            var need_playing = true
            var text

            function splitTextIntoLines(text, wordsPerLine) {
                const words = text.split(' ');
                let line = '';
                let j = 0;
                for (let i = 0; i < words.length; i++) {
                    if (j < wordsPerLine) {
                        line += words[i] + ' '; 
                        j += 1;
                    } else {
                        line += '\n'; 
                        j = 0;
                    }
                }
                return line;
            }

            async function drawLoop() { // main screen refresh loop
                interpolated = human.next(); // get smoothened result using last-known results which are continously updated based on input webcam video
                human.draw.canvas(human.webcam.element, canvas); // draw webcam video to screen canvas // better than using procesed image as this loop happens faster than processing loop
                await human.draw.all(canvas, interpolated);
                document.getElementById('log').innerHTML =
                    `human version: ${human.version} | ` +
                    `tfjs version: ${human.tf.version['tfjs-core']}<br>` +
                    `platform: ${human.env.platform} | ` +
                    `agent ${human.env.agent}<br>` +
                    `need_generation ${need_generation}<br>` + // draw labels, boxes, lines, etc.
                    `text: ${text}`;
            }

            async function playAudio(audioSrc) {
                console.log('playing audio')
                const audioPlayer = new Audio(audioSrc);
                audioPlayer.addEventListener('ended', function () {
                    need_generation = true;
                    need_playing = true;
                    console.log('playing done');
                });
                audioPlayer.play();
            }

            async function checkForNewAudio() {
                $.ajax({
                    url: '/generate_audio',
                    method: 'GET',
                    success: function (response) {
                        need_generation = response.need_generation;
                        if (response.newAudio && need_playing) {
                            console.log(response.newAudio)
                            // Если есть новый аудиофайл, проигрывайте его на странице
                            text = splitTextIntoLines(response.text, 20);
                            need_generation = false;
                            need_playing = false;
                            playAudio(response.filename);
                        }
                    },
                    error: function (error) {
                        console.error('Ошибка при проверке наличия нового аудиофайла:', error);
                    }
                });
            }

            async function send_data() {
                $.ajax({
                    url: '/send_data',
                    type: 'POST',
                    data: { data: JSON.stringify(interpolated), state: need_generation },
                    success: function (response) {
                        console.log('face data sent!');
                    }
                });
            };


            async function main() { // main entry point
                document.getElementById('log').innerHTML =
                    `human version: ${human.version} | ` +
                    `tfjs version: ${human.tf.version['tfjs-core']} <br>` +
                    `platform: ${human.env.platform} | ` +
                    `agent ${human.env.agent}<br>` +
                    `need_generation ${need_generation}<br>` +
                    `text: ${text}`;

                await human.webcam.start({ crop: true }); // find webcam and start it
                human.video(human.webcam.element); // instruct human to continously detect video frames
                canvas.width = human.webcam.width; // set canvas resolution to input webcam native resolution
                canvas.height = human.webcam.height;
                canvas.onclick = async () => { // pause when clicked on screen and resume on next click
                    if (human.webcam.paused) await human.webcam.play();
                    else human.webcam.pause();
                };
                await setInterval(drawLoop, 30); // start draw loop
                await setInterval(send_data, 2000);
                await setInterval(checkForNewAudio, 5000)
            };


            window.onload = main;


        </script>
</body>

</html>