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predict.js
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predict.js
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$("#image-selector").change(function () {
let reader = new FileReader();
reader.onload = function () {
let dataURL = reader.result;
$("#selected-image").attr("src", dataURL);
$("#prediction-list").empty();
}
let file = $("#image-selector").prop("files")[0];
reader.readAsDataURL(file);
});
$("#model-selector").change(function () {
loadModel($("#model-selector").val());
});
let model;
async function loadModel(name) {
$(".progress-bar").show();
model = undefined;
model = await tf.loadModel(`tfjs-models/Cancer/model.json`);
$(".progress-bar").hide();
}
$("#predict-button").click(async function () {
let image = $("#selected-image").get(0);
let modelName = $("#model-selector").val();
let tensor = tf.fromPixels(image)
.resizeNearestNeighbor([224,224])
.toFloat();
let offset = tf.scalar(127.5);
tensor = tensor.sub(offset)
.div(offset)
.expandDims();
let predictions = await model.predict(tensor).data();
let top5 = Array.from(predictions)
.map(function (p, i) {
return {
probability: p,
className: CANCER_CLASSES[i]
};
}).sort(function (a, b) {
return b.probability - a.probability;
}).slice(0, 3);
$("#prediction-list").empty();
top5.forEach(function (p) {
$("#prediction-list").append(`<li>${p.className}: ${p.probability.toFixed(6)}</li>`);
});
});
//function preprocessImage(image, modelName) {
// let tensor = tf.fromPixels(image)
// .resizeNearestNeighbor([224, 224])
// .toFloat();
//
// if (modelName === "Cancer") {
// return tensor.expandDims();
// }
//
// else {
// throw new Error("Unknown model name");
// }
//}