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grayScale.js
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225 lines (111 loc) · 4.13 KB
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var Jimp = require('jimp');
async function getImages(fileName,frameCount){
await require('dcp-client').init();
const compute = require('dcp/compute');
var rowArray = [];
//var imageArray = [];
var tempImage;
var bitArray = [];
for(var i = 1; i <= frameCount; i++){
await Jimp.read(fileName + '_frames/' + fileName + '_' + i.toString().padStart(frameCount.toString().length,"0") + '.jpg').then( image =>{
/*
for(let j = 0; j < image.bitmap.data.length; j = j + image.bitmap.width){
var tempRow = Array.from(image.bitmap.data.slice(j, j + image.bitmap.width));
var tempObject = {
width: image.bitmap.width,
height: 1,
data: JSON.stringify(tempRow)
}
rowArray.push(tempObject);
}
*/
var tempArr = Array.from(image.bitmap.data);
//console.log(tempArr.length);
var tempObject = {
width: image.bitmap.width,
height: image.bitmap.height,
data: JSON.stringify(tempArr)
}
//image.bitmap.data = null;
//imageArray.push(image);
tempImage = image;
bitArray.push(tempObject);
});
}
//console.log(baseArray[0].length);
var job = compute.for(bitArray,grayScale);
job.debug = true;
job.public.name = "Joe's code" ;
job.computeGroups = [ { joinKey: 'hackathon', joinSecret: 'dcp2021' } ];
job.on('accepted', () => {
console.log(` - Job accepted with id: ${job.id}`);
bitArray = null;
});
job.on('result', (ev) => {
console.log("Result", ev);
});
job.on('readystatechange', (state) => {
console.log("Ready", state);
});
job.on('error', (state) => {
console.log("Error" , state);
});
job.on('console', (state) => {
console.log("Console " , state);
});
job.on('status', (state) => {
console.log("Status " ,state);
});
var results = Array.from(await job.exec(0.00001));
console.log("Jobs done:", results);
//let height = imageArray[0].bitmap.height;
for(var i = 0; i < frameCount; i++){
/*
var tempBitmapData = new Array();
for(var j = 0; j < height; j++){
tempBitmapData.concat(results[i*height + j].data);
}
imageArray[i].bitmap.data = tempBitmapData;
*/
/*
imageArray[i].bitmap.data = results[i].data;
await imageArray[i].writeAsync("pointer_frames/pointer_" + (i+1).toString().padStart(3,"0") + ".jpg");
*/
console.log(i, "slice done");
tempImage.bitmap = results[i];
await tempImage.writeAsync(fileName + '_frames/' + fileName + '_' + (i+1).toString().padStart(frameCount.toString().length,"0") + ".jpg");
/*
imageArray[i].write("bricktest.jpg");
*/
}
return;
}
//GrayScale function which takes in image's bitmap
function grayScale(bitmap){
try{
progress();
bitmap.data = JSON.parse(bitmap.data);
//console.log("Worker started ", bitmap.data.length, bitmap.data[0]);
//console.log(bitmap.data.slice(0,3));
//Loops through all rows
for(let i = 0; i < bitmap.height;i++){
//Loops through all columns
for(let j = 0; j < bitmap.width; j++){
//Calculate index using row and column offset
let index = (i*4) * bitmap.width + j*4;
//Calculate average RGB value
let average = Math.floor(( bitmap.data[index] + bitmap.data[index+1] + bitmap.data[index + 2])/3);
//Assign average rgb value
bitmap.data[index] = average;
bitmap.data[index + 1] = average;
bitmap.data[index + 2] = average;
}
progress(1/bitmap.height);
}
//Return new bitmap
return bitmap;
}catch(e){
console.log(e);
}
}
module.exports = {grayScale,getImages};