vrxacs

var wait = ms => new Promise((r, j)=>setTimeout(r, ms));

async function main() {
    const model = await tf.loadModel('./model/model.json');

    document.getElementById('image_upload').onchange = function(ev) {
        var f = ev.target.files[0];
        var fr = new FileReader();

        var makePrediction = async function(img) {

vrxacs

model = Sequential()
model.add(Conv2D(32, (3, 3), input_shape=input_shape))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))

model.add(Conv2D(32, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))

model.add(Conv2D(64, (3, 3)))