Created
April 17, 2016 22:17
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'use strict'; | |
let firebase = require('firebase'); | |
let fs = require('fs'); | |
let spawn = require('child_process').spawn; | |
let throttle = require('lodash.throttle'); | |
let request = require('superagent'); | |
let AWS = require('aws-sdk'); | |
let ref = new Firebase('https://neural.firebaseio.com/'); | |
let lock = false; | |
let queue = []; | |
fs.watch('out', throttle((evt, file) => { | |
let name = Math.random().toString(36).substring(7) + '.png'; | |
let s3obj = new AWS.S3({params: {Bucket: 'neuralstyle', Key: name, ContentType: 'image/png'}}); | |
s3obj.upload({Body: fs.createReadStream('out/' + file)}) | |
.send(err => { | |
if (err) | |
return; | |
console.log('http://neuralstyle.s3-website-eu-west-1.amazonaws.com/' + name); | |
ref.child('output').push({ | |
url: 'http://neuralstyle.s3-website-eu-west-1.amazonaws.com/' + name, | |
iter: file.split('.')[0].substr(4) | |
}) | |
}); | |
console.log(evt, file); | |
}, 2000, {leading: false})); | |
ref.child('input').on('child_added', snap => { | |
let data = snap.val(); | |
let styles = Promise.all(data.styleUrls.map((image, i) => new Promise(accept => { | |
let path = 'in/style' + i; | |
request.get(image.url) | |
.pipe(fs.createWriteStream(path)) | |
.on('close', () => accept(path)); | |
}))); | |
let content = new Promise(accept => request.get(data.contentUrl) | |
.pipe(fs.createWriteStream('in/content')) | |
.on('close', () => accept('in/content'))); | |
content.then(console.log.bind(console)) | |
styles.then(console.log.bind(console)) | |
Promise.all([styles, content]).then(images => { | |
console.log(images); | |
data.style = images[0].join(','); | |
data.content = images[1]; | |
data.weights = data.styleUrls.map(image => image.weight).join(','); | |
job(data); | |
ref.child('input').child(snap.key()).remove(); | |
}); | |
}); | |
let job = data => { | |
if (lock) { | |
console.log('Got job while working. Enqueue!'); | |
queue.unshift(data); | |
return; | |
} | |
lock = true; | |
console.log('Starting job!'); | |
data.size = data.size || 512; | |
data.smooth = data.smooth || 0.001; | |
data.iterations = data.iterations || 100; | |
data.numPics = data.numPics || 5; | |
data.random = data.random ? 'random' : 'image'; | |
data.scale = data.scale || 1; | |
data.contentWeight = data.contentWeight || 5; | |
data.styleWeight = data.styleWeight || 100; | |
let neural = spawn('th', [ | |
'neural_style.lua', | |
'-gpu', '0', | |
'-backend', 'cudnn', '-cudnn_autotune', | |
'-output_image', 'out/out.png', | |
'-style_image', data.style, | |
'-content_image', data.content, | |
'-style_blend_weights', data.weights, | |
'-image_size', data.size, | |
'-num_iterations', data.iterations * data.numPics, | |
'-save_iter', data.iterations, | |
'-init', data.random, | |
'-style_scale', data.scale, | |
'-content_weight', data.contentWeight, | |
'-style_weight', data.styleWeight, | |
], {cwd: process.cwd()}) | |
neural.stderr.on('data', data => console.log(data.toString())); | |
neural.on('close', code => { | |
console.log(code); | |
lock = false; | |
let nextData = queue.pop(); | |
if (nextData) { | |
console.log('Picking up job from queue!'); | |
return job(nextData); | |
} | |
}); | |
} |
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