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Copy pathimagereader.js
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328 lines (261 loc) · 8.35 KB
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function guessImageDatas(imgDatas){
var outp = [];
var minConfidence = 2;
for (var i = 0; i < imgDatas.length; ++i) {
var guess = anonymous(imgDatas[i]);
//find most likely guess
var max = {txt: "", val: 0};
for (var k in guess) {
if (guess[k] > max.val) {
max = {txt: k, val: guess[k]};
}
}
if(max.val < minConfidence) {
minConfidence = max.val;
}
outp.push(max.txt);
// console.log("most confident: ", max.txt, max.val);
}
return {output: outp[0], confidence: minConfidence};
}
function ImageParser(img, options) {
var self = this;
$('.temp').remove();
// merge defaults into options
for (var k in this.defaults) {
options[k] = options[k] || this.defaults[k];
}
this.opts = options;
// create canvas for processing
this.c = document.createElement("canvas");
this.ctx = this.c.getContext("2d");
this.c.width = img.naturalWidth;
this.c.height= img.naturalHeight;
this.ctx.drawImage(img, 0,0);
this.tempCanvas = $('<canvas class="temp"></canvas>');
this.tempCanvas[0].width = img.naturalWidth;
this.tempCanvas[0].height = img.naturalHeight
this.tempCtx = this.tempCanvas[0].getContext('2d');
this.tempCtx.drawImage(img, 0,0);
$('body').append(this.tempCanvas);
var blurred = StackBlur.imageDataRGB(this.ctx.getImageData(0,0,this.c.width,this.c.height), 0, 0, this.c.width, this.c.height, this.opts.blur);
var greyscale = self.greyscale(blurred);
// var brightnessContrast = this.ctx.getImageData(0,0,this.c.width,this.c.height) ;
var brightness = self.brightnessContrast(greyscale, self.opts.brightness, self.opts.contrast);
// var contrast = self.contrast(brightness, 85);
this.tempCtx.putImageData(brightness, 0,0);
this.calculateThreshold(brightness);
var threshold = this.thresholder(brightness);
this.tempCtx.putImageData(threshold, 0,0);
// console.log("treshold", threshold);
var extract = this.extract(threshold);
for(var i=0; i<extract.length; i++) {
this.tempCtx.putImageData(extract[0], 0,0);
}
// console.log("extract", extract);
var downscale = this.downscale(extract);
for(var i=0; i<downscale.length; i++) {
this.tempCtx.putImageData(downscale[i], i*24,0);
}
// console.log("downscale", downscale);
var forBrain = downscale.map(function(imgData){ return self.formatForBrain(imgData) });
return forBrain;
// console.log("forBrain", forBrain);
}
ImageParser.prototype.defaults = {
threshold: 60,
downscaledSize: 24,
debug: false,
blur: 2,
brightness: 35,
contrast: 75,
chars: 0,
};
//To greyscale
ImageParser.prototype.greyscale = function(imageData) {
var self = this;
var px = imageData.data;
var len = px.length;
for (var i = 0; i < len; i+=4) {
var redPx = px[i];
var greenPx = px[i+1];
var bluePx = px[i+2];
var alphaPx = px[i+3];
var greyScale = redPx * .3 + greenPx * .59 + bluePx * .11;
px[i] = greyScale;
px[i+1] = greyScale;
px[i+2] = greyScale;
}
return imageData;
}
//brightness effect
// imageData, brightness [0-100], contrast [0-100]
ImageParser.prototype.brightnessContrast = function(imageData, b, c){
var data = imageData;//get pixel data
var pixels = data.data;
for(var i = 0; i < pixels.length; i+=4){//loop through all data
/*
pixels[i] is the red component
pixels[i+1] is the green component
pixels[i+2] is the blue component
pixels[i+3] is the alpha component
*/
pixels[i] += b;
pixels[i+1] += b;
pixels[i+2] += b;
var brightness = (pixels[i]+pixels[i+1]+pixels[i+2])/3; //get the brightness
pixels[i] += brightness > 127 ? c : -c;
pixels[i+1] += brightness > 127 ? c : -c;
pixels[i+2] += brightness > 127 ? c : -c;
}
data.data = pixels;
return data;
}
ImageParser.prototype.calculateThreshold = function CalculateThreshold(imgData) {
var self = this;
var data = imgData.data;
var r,g,b,avg;
var colorSum = 0;
for(var x = 0, len = data.length; x < len; x+=4) {
r = data[x];
g = data[x+1];
b = data[x+2];
avg = Math.floor((r+g+b)/3);
colorSum += avg;
}
var brightness = Math.floor(colorSum / (self.c.width*self.c.height));
console.log("Brightness", brightness);
if(brightness > 105) { // was 150
brightness = brightness/1.2;
}
if(brightness <= 105) {
brightness = brightness/1.5;
}
if(brightness < 70) {
birghtness = brightness/2;
}
this.opts.threshold = brightness;
// only for spesific case
// this.opts.threshold = 200;
console.log("threshold: ", this.opts.threshold);
}
// Image functions
ImageParser.prototype.thresholder = function Threshold(imgData){
// for every pixels red channel value
for (var i = 0, j = imgData.data.length; i<j; i+=4) {
// threshold it
if (imgData.data[i] > this.opts.threshold) {
imgData.data[i] = 0;
} else {
imgData.data[i] = 255;
}
}
return imgData;
};
ImageParser.prototype.extract = function ExtractLetters(imgData){
var self = this;
this.ctx.putImageData(imgData,0,0); // for easy cropping
var letters = [];
var letterRaw = [];
var currentLetter = {};
var foundLetter = false;
var pixelsInLetter = 0;
for (var x = 0, j = imgData.width; x < j; ++x) { // for every column
var foundLetterInColumn = false;
for (var y = 0, k = imgData.height; y < k; ++y) { // for every pixel
var pixIndex = (y*imgData.width+x)*4;
if (imgData.data[pixIndex] === 255) { // if we're dealing with a letter pixel
foundLetterInColumn = foundLetter = true;
pixelsInLetter++;
// set data for this letter
currentLetter.minX = Math.min(x, currentLetter.minX || Infinity);
currentLetter.maxX = Math.max(x, currentLetter.maxX || -1);
currentLetter.minY = Math.min(y, currentLetter.minY || Infinity);
currentLetter.maxY = Math.max(y, currentLetter.maxY || -1);
}
}
// if we've reached the end of this letter, push it to letters array
if (!foundLetterInColumn && foundLetter) {
// get letter pixels
// if(currentLetter.maxX-currentLetter.minX > 0 && currentLetter.maxY-currentLetter.minY > 0) {
if (pixelsInLetter > 200) {
letters.push(this.ctx.getImageData(
currentLetter.minX,
currentLetter.minY,
currentLetter.maxX - currentLetter.minX,
currentLetter.maxY - currentLetter.minY
));
letterRaw.push(currentLetter);
}
// reset
foundLetter = foundLetterInColumn = false;
currentLetter = {};
pixelsInLetter = 0;
}
else {
}
}
if(letters.length > 0) {
if(self.opts.chars === 1) {
var maxX = -1;
var maxY = -1;
var minX = Infinity;
var minY = Infinity;
for(var i=0; i<letterRaw.length; i++) {
var l = letterRaw[i];
if(l.minX < minX) {
minX = l.minX;
}
if(l.minY < minY) {
minY = l.minY;
}
if(l.maxX > maxX) {
maxX = l.maxX;
}
if(l.maxY > maxY) {
maxY = l.maxY;
}
}
letters = [];
letters.push(self.ctx.getImageData(minX, minY, maxX-minX, maxY-minY));
}
}
return letters;
};
ImageParser.prototype.formatForBrain = function FormatForBrain(imgData){
var outp = [];
for (var i = 0, j = imgData.data.length; i < j; i+=4) {
outp[i/4] = imgData.data[i] / 255;
}
return outp;
}
ImageParser.prototype.downscale = function Downscale(imgDatas){
if(Array.isArray(imgDatas) && imgDatas.length === 0) {
return [];
}
if(!imgDatas.length) {
imgDatas = [imgDatas];
}
var letters = [];
for (var i = 0, j = imgDatas.length; i < j; ++i) {
var s = this.opts.downscaledSize,
imgData = imgDatas[i],
square = new ImageData(s,s);
// loop through every pixel in our small square
for (var x = 0; x < s; ++x) {
for (var y = 0; y < s; ++y) {
// find index in large imgData
var bigX = Math.floor(x/s * imgData.width),
bigY = Math.floor(y/s * imgData.height),
bigIndex = (bigY*imgData.width+bigX)*4,
index = (y*s+x)*4;
// set pixel in square to pixel in image data
square.data[index] = imgData.data[bigIndex];
// set alpha too, for display purposes
square.data[index+3] = 255;
}
}
letters.push(square);
}
return letters;
};