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index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>НС</title>
<script src="brain.js/browser.min.js"></script>
<style>
body {
background-color: #333;
}
#canv {
position: absolute;
top: 0;right: 0;bottom: 0;left: 0;
margin: auto;
background-color: white;
}
</style>
</head>
<body>
<canvas id="canv" style="display: block;">Ваш браузер устарел, обновитесь.</canvas>
<script>
function DCanvas(el)
{
const ctx = el.getContext('2d');
const pixel = 20;
let is_mouse_down = false;
canv.width = 700;
canv.height = 700;
this.drawLine = function(x1, y1, x2, y2, color = 'gray') {
ctx.beginPath();
ctx.strokeStyle = color;
ctx.lineJoin = 'miter';
ctx.lineWidth = 1;
ctx.moveTo(x1, y1);
ctx.lineTo(x2, y2);
ctx.stroke();
}
this.drawCell = function(x, y, w, h) {
ctx.fillStyle = 'blue';
ctx.strokeStyle = 'blue';
ctx.lineJoin = 'miter';
ctx.lineWidth = 1;
ctx.rect(x, y, w, h);
ctx.fill();
}
this.clear = function() {
ctx.clearRect(0, 0, canv.width, canv.height);
}
this.drawGrid = function() {
const w = canv.width;
const h = canv.height;
const p = w / pixel;
const xStep = w / p;
const yStep = h / p;
for( let x = 0; x < w; x += xStep )
{
this.drawLine(x, 0, x, h);
}
for( let y = 0; y < h; y += yStep )
{
this.drawLine(0, y, w, y);
}
}
this.calculate = function(draw = false) {
const w = canv.width;
const h = canv.height;
const p = w / pixel;
const xStep = w / p;
const yStep = h / p;
const vector = [];
let __draw = [];
for( let x = 0; x < w; x += xStep )
{
for( let y = 0; y < h; y += yStep )
{
const data = ctx.getImageData(x, y, xStep, yStep);
let nonEmptyPixelsCount = 0;
for( i = 0; i < data.data.length; i += 10 )
{
const isEmpty = data.data[i] === 0;
if( !isEmpty )
{
nonEmptyPixelsCount += 1;
}
}
if( nonEmptyPixelsCount > 1 && draw )
{
__draw.push([x, y, xStep, yStep]);
}
vector.push(nonEmptyPixelsCount > 1 ? 1 : 0);
}
}
if( draw )
{
this.clear();
this.drawGrid();
for( _d in __draw )
{
this.drawCell( __draw[_d][0], __draw[_d][1], __draw[_d][2], __draw[_d][3] );
}
}
return vector;
}
el.addEventListener('mousedown', function(e) {
is_mouse_down = true;
ctx.beginPath();
})
el.addEventListener('mouseup', function(e) {
is_mouse_down = false;
})
el.addEventListener('mousemove', function(e) {
if( is_mouse_down )
{
ctx.fillStyle = 'red';
ctx.strokeStyle = 'red';
ctx.lineWidth = pixel;
ctx.lineTo(e.offsetX, e.offsetY);
ctx.stroke();
ctx.beginPath();
ctx.arc(e.offsetX, e.offsetY, pixel / 2, 0, Math.PI * 2);
ctx.fill();
ctx.beginPath();
ctx.moveTo(e.offsetX, e.offsetY);
}
})
}
let vector = [];
let net = null;
let train_data = [];
const d = new DCanvas(document.getElementById('canv'));
document.addEventListener('keypress', function(e) {
if( e.key.toLowerCase() == 'c' )
{
d.clear();
}
if( e.key.toLowerCase() == 'v' )
{
vector = d.calculate(true);
//train
if( confirm('Positive?') )
{
train_data.push({
input: vector,
output: {positive: 1}
});
} else
{
train_data.push({
input: vector,
output: {negative: 1}
});
}
}
if( e.key.toLowerCase() == 'b' )
{
net = new brain.NeuralNetwork();
net.train(train_data, {log: true});
const result = brain.likely(d.calculate(), net);
alert(result);
}
});
</script>
</body>
</html>