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HTML

              
                <html>
    <head>
        <meta charset="UTF-8">
        <title>Webcam Image Classification using MobileNet and p5.js</title>
        <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.7.3/p5.min.js"></script>
        <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.7.3/addons/p5.dom.min.js"></script>
        <script src="https://unpkg.com/ml5@0.1.2/dist/ml5.min.js" type="text/javascript"></script> 
    </head>

    <body>
        <h1>Clasificador de imaganes por webcam usando MobileNet and p5.js</h1>
        <p id='estado'>Carga modelo...</p>
        <p>
            Esto es un <strong> <span id="resultado">...</span></strong><br/>
            Con una certeza del <strong><span id="probabilidad">...</span></strong>.
        </p>
        <script>
            let clasificador;
            let video;
            function setup() {
                noCanvas();
                // Inicializa la camara
                video = createCapture(VIDEO);
                // Inicializa le clasificador de imagenes con el video
                clasificador = ml5.imageClassifier('MobileNet', video, modeloListo);
            }
            //Cuando el modelo este listo
            function modeloListo() {
                // Cambiamos el estado a Modelo cargado
                select('#estado').html('Modelo cargado');
                // Llama al la funcion para comenzar a clasificar el video
                clasificarVideo();
            }
            // Predecimos que imagen es la que se muestra en el video
            function clasificarVideo() {
                clasificador.predict(tomaResultado);
            }
            // Cuando obtenemos el resultado
            function tomaResultado(err, resultado) {
                console.log(resultado);
                // Escribimos el nombre de la imagen detectada
                select('#resultado').html(resultado[0].className);
                select('#probabilidad').html(nf(resultado[0].probability, 0, 2));
                // Llamamos de nuevo al clasificador
                clasificarVideo();
            }
        </script>
    </body>

</html>
              
            
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