ka4tik · April 7, 2014 15:13
diff --git a/script.js b/script.js
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    ],

 setListener : function () {
    var canvas = document.getElementById('inCanvas'),
 context = canvas.getContext('2d'),
 stroke = false;

    context.lineWidth = 25;
    context.fillStyle="#7F7F7F";
    context.fillRect(0,0,canvas.width,canvas.height);
    context.strokeStyle="#FFFFFF";

    canvas.onmousedown = function (e) {
        context.beginPath();
        context.moveTo(e.clientX, e.clientY);
        stroke = true;
    }

    canvas.onmouseup = function (e) {
        stroke = false;
    }

    canvas.onmouseout = function (e) {
        stroke = false;
    }

    canvas.onmousemove = function (e) {
        if (stroke) {
            context.lineTo(e.clientX, e.clientY);
            context.stroke();
        }
    }
 },

    stat : {
        sum : function(arr) {
            var s = 0;
            arr.forEach(function (e) { s += e; });
            return s;
        },

        sumSquares : function(arr) {
            var s = 0;
            arr.forEach(function (e) { s += e*e; });
            return s;
        },

        stdDev : function(arr) {
            var mean = this.sum(arr)/arr.length;
            var stdev = Math.sqrt( this.sumSquares(arr)/arr.length - mean*mean );
            return stdev;
        },

        avg : function(arr) {
            return this.sum(arr)/arr.length;
        },

        normalize : function(arr) {
            var avg = this.avg(arr);
            var stddev = this.stdDev(arr);
            return arr.map(function(e) { return (stddev)?(e-avg)/stddev:0; });
        }

    },

    predictNumber : function () {
        function clearImages(ids) {
            var i, id, canvas, context;
            for (i = 0; i < ids.length; i += 1) {
                id = ids[i];
                canvas = document.getElementById(id);
                context = canvas.getContext('2d');
                context.lineWidth = 10;
                context.fillStyle="#7F7F7F";
                context.fillRect(0,0,canvas.width,canvas.height);
                context.strokeStyle="#FFFFFF";
            }
        }

        function copyImage(from, to) {
            var fromCanvas, toCanvas, toContext;
            fromCanvas = document.getElementById(from);
            toCanvas = document.getElementById(to);
            toContext = toCanvas.getContext('2d');
            toContext.drawImage(fromCanvas, 0, 0, toCanvas.width, toCanvas.height);
        }

        function predict(X, theta) {
            X = [1].concat(X);
            var m = X.length,
                n = theta.length,
                r, c, p = [],
                max, i;
            for (r = 0; r < n; r += 1) {
                p[r] = 0;
                for (c = 0; c < m; c += 1) {
                    p[r] += X[c] * theta[r][c];
                }
            }
            max = Math.max.apply(null, p);
            i = p.indexOf(max);
            if (i > -1) {
                i += 1;
            } else {
                console.log("not found: " + max + " in " + p);
            }
            if (i > 9) {
                i = 0;
            }
            return i;
        }

        function getBrightnessFromSmallImage() {
            var canvas = document.getElementById('smallCanvas');
            var context = canvas.getContext('2d');

            var imageData = context.getImageData(0, 0, canvas.width, canvas.height);
            var data = Array.prototype.slice.apply(imageData.data, []);

            var arrBrightness = [];
            var greyData = [];

            for (i = 0; i < data.length; i += 4) {
                //b = (data[i]+data[i+1]+data[i+2])/3;
                b = 0.2126*data[i] + 0.7152*data[i+1] + 0.0722*data[i+2];
                greyData.push(b);
            }

            var i, j, N = canvas.width;
            for (i = 0; i < greyData.length; i += 1) {
                //greyData is an array which contains pixels in order of
                //rows, but predict function needs pixels in order of columns
                j = (i % N) * N + Math.floor(i / N);
                arrBrightness[j] = greyData[i];
            }

            return arrBrightness;
        }

        clearImages(['smallCanvas']);
        copyImage('inCanvas', 'smallCanvas');

        var arrBrightness = getBrightnessFromSmallImage();
        var X = this.stat.normalize(arrBrightness);
        var p = predict(X, this.theta);
        var span = document.getElementById('number');
        span.innerHTML = p;
        console.log("Number:" + p);

        clearImages(['inCanvas']);
    }

 }

 RECOGNIZER.setListener();
 });
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