├── .gitattributes ├── .gitignore ├── .travis.yml ├── LICENSE ├── README.md ├── bower.json ├── demo_screen.png ├── package.json ├── scripts ├── build-demo ├── deploy-demo ├── dump_checkpoint_vars.py ├── remove_optimizer_variables.py └── watch-demo ├── src ├── ckpts │ ├── la_muse │ │ ├── Variable │ │ ├── Variable_1 │ │ ├── Variable_10 │ │ ├── Variable_11 │ │ ├── Variable_12 │ │ ├── Variable_13 │ │ ├── Variable_14 │ │ ├── Variable_15 │ │ ├── Variable_16 │ │ ├── Variable_17 │ │ ├── Variable_18 │ │ ├── Variable_19 │ │ ├── Variable_2 │ │ ├── Variable_20 │ │ ├── Variable_21 │ │ ├── Variable_22 │ │ ├── Variable_23 │ │ ├── Variable_24 │ │ ├── Variable_25 │ │ ├── Variable_26 │ │ ├── Variable_27 │ │ ├── Variable_28 │ │ ├── Variable_29 │ │ ├── Variable_3 │ │ ├── Variable_30 │ │ ├── Variable_31 │ │ ├── Variable_32 │ │ ├── Variable_33 │ │ ├── Variable_34 │ │ ├── Variable_35 │ │ ├── Variable_36 │ │ ├── Variable_37 │ │ ├── Variable_38 │ │ ├── Variable_39 │ │ ├── Variable_4 │ │ ├── Variable_40 │ │ ├── Variable_41 │ │ ├── Variable_42 │ │ ├── Variable_43 │ │ ├── Variable_44 │ │ ├── Variable_45 │ │ ├── Variable_46 │ │ ├── Variable_47 │ │ ├── Variable_5 │ │ ├── Variable_6 │ │ ├── Variable_7 │ │ ├── Variable_8 │ │ ├── Variable_9 │ │ └── manifest.json │ ├── rain_princess │ │ ├── Variable │ │ ├── Variable_1 │ │ ├── Variable_10 │ │ ├── Variable_11 │ │ ├── Variable_12 │ │ ├── Variable_13 │ │ ├── Variable_14 │ │ ├── Variable_15 │ │ ├── Variable_16 │ │ ├── Variable_17 │ │ ├── Variable_18 │ │ ├── Variable_19 │ │ ├── Variable_2 │ │ ├── Variable_20 │ │ ├── Variable_21 │ │ ├── Variable_22 │ │ ├── Variable_23 │ │ ├── Variable_24 │ │ ├── Variable_25 │ │ ├── Variable_26 │ │ ├── Variable_27 │ │ ├── Variable_28 │ │ ├── Variable_29 │ │ ├── Variable_3 │ │ ├── Variable_30 │ │ ├── Variable_31 │ │ ├── Variable_32 │ │ ├── Variable_33 │ │ ├── Variable_34 │ │ ├── Variable_35 │ │ ├── Variable_36 │ │ ├── Variable_37 │ │ ├── Variable_38 │ │ ├── Variable_39 │ │ ├── Variable_4 │ │ ├── Variable_40 │ │ ├── Variable_41 │ │ ├── Variable_42 │ │ ├── Variable_43 │ │ ├── Variable_44 │ │ ├── Variable_45 │ │ ├── Variable_46 │ │ ├── Variable_47 │ │ ├── Variable_5 │ │ ├── Variable_6 │ │ ├── Variable_7 │ │ ├── Variable_8 │ │ ├── Variable_9 │ │ └── manifest.json │ ├── scream │ │ ├── Variable │ │ ├── Variable_1 │ │ ├── Variable_10 │ │ ├── Variable_11 │ │ ├── Variable_12 │ │ ├── Variable_13 │ │ ├── Variable_14 │ │ ├── Variable_15 │ │ ├── Variable_16 │ │ ├── Variable_17 │ │ ├── Variable_18 │ │ ├── Variable_19 │ │ ├── Variable_2 │ │ ├── Variable_20 │ │ ├── Variable_21 │ │ ├── Variable_22 │ │ ├── Variable_23 │ │ ├── Variable_24 │ │ ├── Variable_25 │ │ ├── Variable_26 │ │ ├── Variable_27 │ │ ├── Variable_28 │ │ ├── Variable_29 │ │ ├── Variable_3 │ │ ├── Variable_30 │ │ ├── Variable_31 │ │ ├── Variable_32 │ │ ├── Variable_33 │ │ ├── Variable_34 │ │ ├── Variable_35 │ │ ├── Variable_36 │ │ ├── Variable_37 │ │ ├── Variable_38 │ │ ├── Variable_39 │ │ ├── Variable_4 │ │ ├── Variable_40 │ │ ├── Variable_41 │ │ ├── Variable_42 │ │ ├── Variable_43 │ │ ├── Variable_44 │ │ ├── Variable_45 │ │ ├── Variable_46 │ │ ├── Variable_47 │ │ ├── Variable_5 │ │ ├── Variable_6 │ │ ├── Variable_7 │ │ ├── Variable_8 │ │ ├── Variable_9 │ │ └── manifest.json │ ├── udnie │ │ ├── Variable │ │ ├── Variable_1 │ │ ├── Variable_10 │ │ ├── Variable_11 │ │ ├── Variable_12 │ │ ├── Variable_13 │ │ ├── Variable_14 │ │ ├── Variable_15 │ │ ├── Variable_16 │ │ ├── Variable_17 │ │ ├── Variable_18 │ │ ├── Variable_19 │ │ ├── Variable_2 │ │ ├── Variable_20 │ │ ├── Variable_21 │ │ ├── Variable_22 │ │ ├── Variable_23 │ │ ├── Variable_24 │ │ ├── Variable_25 │ │ ├── Variable_26 │ │ ├── Variable_27 │ │ ├── Variable_28 │ │ ├── Variable_29 │ │ ├── Variable_3 │ │ ├── Variable_30 │ │ ├── Variable_31 │ │ ├── Variable_32 │ │ ├── Variable_33 │ │ ├── Variable_34 │ │ ├── Variable_35 │ │ ├── Variable_36 │ │ ├── Variable_37 │ │ ├── Variable_38 │ │ ├── Variable_39 │ │ ├── Variable_4 │ │ ├── Variable_40 │ │ ├── Variable_41 │ │ ├── Variable_42 │ │ ├── Variable_43 │ │ ├── Variable_44 │ │ ├── Variable_45 │ │ ├── Variable_46 │ │ ├── Variable_47 │ │ ├── Variable_5 │ │ ├── Variable_6 │ │ ├── Variable_7 │ │ ├── Variable_8 │ │ ├── Variable_9 │ │ └── manifest.json │ ├── wave │ │ ├── Variable │ │ ├── Variable_1 │ │ ├── Variable_10 │ │ ├── Variable_11 │ │ ├── Variable_12 │ │ ├── Variable_13 │ │ ├── Variable_14 │ │ ├── Variable_15 │ │ ├── Variable_16 │ │ ├── Variable_17 │ │ ├── Variable_18 │ │ ├── Variable_19 │ │ ├── Variable_2 │ │ ├── Variable_20 │ │ ├── Variable_21 │ │ ├── Variable_22 │ │ ├── Variable_23 │ │ ├── Variable_24 │ │ ├── Variable_25 │ │ ├── Variable_26 │ │ ├── Variable_27 │ │ ├── Variable_28 │ │ ├── Variable_29 │ │ ├── Variable_3 │ │ ├── Variable_30 │ │ ├── Variable_31 │ │ ├── Variable_32 │ │ ├── Variable_33 │ │ ├── Variable_34 │ │ ├── Variable_35 │ │ ├── Variable_36 │ │ ├── Variable_37 │ │ ├── Variable_38 │ │ ├── Variable_39 │ │ ├── Variable_4 │ │ ├── Variable_40 │ │ ├── Variable_41 │ │ ├── Variable_42 │ │ ├── Variable_43 │ │ ├── Variable_44 │ │ ├── Variable_45 │ │ ├── Variable_46 │ │ ├── Variable_47 │ │ ├── Variable_5 │ │ ├── Variable_6 │ │ ├── Variable_7 │ │ ├── Variable_8 │ │ ├── Variable_9 │ │ └── manifest.json │ └── wreck │ │ ├── Variable │ │ ├── Variable_1 │ │ ├── Variable_10 │ │ ├── Variable_11 │ │ ├── Variable_12 │ │ ├── Variable_13 │ │ ├── Variable_14 │ │ ├── Variable_15 │ │ ├── Variable_16 │ │ ├── Variable_17 │ │ ├── Variable_18 │ │ ├── Variable_19 │ │ ├── Variable_2 │ │ ├── Variable_20 │ │ ├── Variable_21 │ │ ├── Variable_22 │ │ ├── Variable_23 │ │ ├── Variable_24 │ │ ├── Variable_25 │ │ ├── Variable_26 │ │ ├── Variable_27 │ │ ├── Variable_28 │ │ ├── Variable_29 │ │ ├── Variable_3 │ │ ├── Variable_30 │ │ ├── Variable_31 │ │ ├── Variable_32 │ │ ├── Variable_33 │ │ ├── Variable_34 │ │ ├── Variable_35 │ │ ├── Variable_36 │ │ ├── Variable_37 │ │ ├── Variable_38 │ │ ├── Variable_39 │ │ ├── Variable_4 │ │ ├── Variable_40 │ │ ├── Variable_41 │ │ ├── Variable_42 │ │ ├── Variable_43 │ │ ├── Variable_44 │ │ ├── Variable_45 │ │ ├── Variable_46 │ │ ├── Variable_47 │ │ ├── Variable_5 │ │ ├── Variable_6 │ │ ├── Variable_7 │ │ ├── Variable_8 │ │ ├── Variable_9 │ │ └── manifest.json ├── images │ ├── diana.jpg │ ├── face.jpg │ ├── la_muse.jpg │ ├── rain_princess.jpg │ ├── scream.jpg │ ├── stata.jpg │ ├── udnie.jpg │ ├── wave.jpg │ └── wreck.jpg ├── net.ts ├── polymer-spec.ts ├── styletransfer-demo.html ├── styletransfer-demo.ts ├── styletransfer.html └── support.js ├── tsconfig.json └── tslint.json /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/reiinakano/fast-style-transfer-deeplearnjs/bd3a0486e4ed4a02b0b4102a7f12a55e3c935d73/.gitattributes -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | node_modules/ 2 | src/bundle.js 3 | src/*.js.map 4 | build/ 5 | bower_components/ 6 | 7 | npm-debug.log 8 | .DS_Store 9 | dist/ 10 | .idea/ 11 | 12 | *~ 13 | -------------------------------------------------------------------------------- /.travis.yml: -------------------------------------------------------------------------------- 1 | language: node_js 2 | node_js: 3 | - "7" 4 | install: 5 | - "npm install && bower install && mkdir build" 6 | script: 7 | - "./scripts/deploy-demo src/styletransfer-demo.ts src/styletransfer-demo.html build" 8 | - "mv build/styletransfer-demo.html build/index.html" 9 | - "cp src/support.js build/support.js" 10 | - "cp -r src/images build/images" 11 | - "cp -r src/ckpts build/ckpts" 12 | deploy: 13 | provider: pages 14 | skip_cleanup: true 15 | github_token: $GITHUB_TOKEN # Set in travis-ci.org dashboard 16 | on: 17 | branch: master 18 | local_dir: "build" 19 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) [2017] [Reiichiro Nakano] 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Fast Neural Style Transfer in browser with deeplearn.js 2 | 3 | DEPRECATED: This repository has been deprecated and is no longer actively maintained (build instructions no longer work either). There is a much, much better version (where you can use ANY style) at https://github.com/reiinakano/arbitrary-image-stylization-tfjs. If you're *really* interested in this version of fast style transfer, this code has been integrated into the [ml5.js](https://github.com/ml5js/ml5-library) library and the TensorFlow.js version is actively maintained over there. 4 | 5 | This repository contains an implementation of the Fast Neural Style Transfer algorithm running fully inside a browser using the Deeplearn.JS library. 6 | 7 | Demo website: https://reiinakano.github.io/fast-style-transfer-deeplearnjs 8 | 9 | ![demo_screen](demo_screen.png) 10 | 11 | ## FAQ 12 | 13 | ### What is this about? 14 | 15 | This is an implementation of the Fast Neural Style Transfer algorithm running purely on the browser using the Deeplearn.JS library. Basically, a neural network attempts to "draw" one picture, the Content, in the style of another, the Style. 16 | 17 | ### Is my data safe? Can you see my webcam pics? 18 | 19 | Your data and pictures here never leave your computer! In fact, this is one of the main advantages of running neural networks in your browser. Instead of sending us your data, we send *you* both the model *and* the code to run the model. These are then run by your browser. 20 | 21 | ### How big are the models I'm downloading? 22 | 23 | For each available style, your browser will download a model around ~6.6MB in size. Be careful if you have limited bandwidth (mobile data users). 24 | 25 | ### The web page is ugly. 26 | 27 | I know. Sorry, I'm not really a UI designer. I have about a 10 minute tolerance for tweaking HTML and CSS until I give up. The good news is, it's all open source on Github! If you want to help improve the page's design, please send a pull request! :) 28 | 29 | ## Development 30 | 31 | To run this locally, clone the project and prepare the development environment: 32 | 33 | ```bash 34 | $ git clone https://github.com/reiinakano/fast-style-transfer-deeplearnjs.git 35 | $ cd fast-style-transfer-deeplearnjs 36 | $ npm install && bower install # Install node modules and bower components 37 | ``` 38 | 39 | To interactively develop the application 40 | 41 | ```bash 42 | $ ./scripts/watch-demo src/styletransfer-demo.ts 43 | >> Waiting for initial compile... 44 | >> 1023189 bytes written to src/bundle.js (0.71 seconds) at 2:20:06 AM 45 | >> Starting up http-server, serving ./ 46 | >> Available on: 47 | >> http://127.0.0.1:8080 48 | >> Hit CTRL-C to stop the server 49 | ``` 50 | 51 | The application will be available at `http://localhost:8080/src/styletransfer-demo.html` and will watch for changes of typescript code. 52 | 53 | ## Adding your own styles 54 | 55 | The way Fast Neural Style Transfer works is, one has to train a new neural network for each "Style" image and upload it to the server. Training takes 4-6 hours on a relatively powerful GPU (Maxwell Titan X). 56 | 57 | To train your own style model from scratch, please follow the instructions from this [Github repository](https://github.com/lengstrom/fast-style-transfer) to get your own .ckpt file. You will need Python, Tensorflow, and a decent GPU. 58 | 59 | Once you have the `model.ckpt` file for your style, run the following: 60 | 61 | ```bash 62 | $ python scripts/dump_checkpoint_vars.py --output_dir=src/ckpts/my-new-style --checkpoint_file=/path/to/model.ckpt 63 | $ python scripts/remove_optimizer_variables.py --output_dir=src/ckpts/my-new-style 64 | ``` 65 | 66 | If all goes well, `src/ckpts/my-new-style` should contain ~6.7MB of 49 items including a `manifest.json` file. 67 | 68 | Adding the style to the application is then as simple as modifying the `STYLE_MAPPINGS` variable in `src/styletransfer-demo.ts`. 69 | 70 | If you're able to successfully achieve cool new styles, I'd be glad to add them to this demo! 71 | 72 | ## Credits 73 | 74 | Credits belong to the following: 75 | 76 | * The authors of the original [Neural Style Transfer paper](https://arxiv.org/abs/1508.06576). 77 | * The authors of the paper introducing [Real-Time Style Transfer](https://arxiv.org/abs/1603.08155). 78 | * The author of the [fast-style-transfer](https://github.com/lengstrom/fast-style-transfer) Github repository. 79 | * The authors of [Deeplearn.JS](https://github.com/PAIR-code/deeplearnjs) 80 | -------------------------------------------------------------------------------- /bower.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "fast-style-transfer-deeplearnjs", 3 | "description": "", 4 | "main": "", 5 | "authors": [], 6 | "license": "MIT", 7 | "homepage": "", 8 | "private": true, 9 | "ignore": [ 10 | "**/.*", 11 | "node_modules", 12 | "bower_components", 13 | "test", 14 | "tests" 15 | ], 16 | "dependencies": { 17 | "paper-dialog-scrollable": "1.*.*", 18 | "paper-icon-button": "1.*.*", 19 | "paper-tooltip": "1.*.*", 20 | "paper-toggle-button": "1.*.*", 21 | "paper-radio-group": "1.*.*", 22 | "paper-radio-button": "1.*.*", 23 | "paper-dialog": "1.*.*", 24 | "paper-button": "1.*.*", 25 | "paper-item": "1.*.*", 26 | "paper-dropdown-menu": "1.*.*", 27 | "paper-listbox": "1.*.*", 28 | "iron-icons": "1.*.*", 29 | "paper-slider": "1.*.*", 30 | "polymer": "1.*.*", 31 | "paper-spinner": "1.*.*", 32 | "paper-progress": "1.*.*" 33 | } 34 | } 35 | -------------------------------------------------------------------------------- /demo_screen.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/reiinakano/fast-style-transfer-deeplearnjs/bd3a0486e4ed4a02b0b4102a7f12a55e3c935d73/demo_screen.png -------------------------------------------------------------------------------- /package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "fast-style-transfer-deeplearnjs", 3 | "version": "1.0.0", 4 | "description": "", 5 | "main": "index.js", 6 | "scripts": { 7 | "test": "echo \"Error: no test specified\" && exit 1" 8 | }, 9 | "author": "", 10 | "license": "MIT", 11 | "devDependencies": { 12 | "@types/jasmine": "~2.5.53", 13 | "@types/polymer": "~1.1.31", 14 | "bower": "~1.8.0", 15 | "browserify": "~14.4.0", 16 | "cross-spawn": "~5.1.0", 17 | "deeplearn": "0.3.11", 18 | "http-server": "~0.10.0", 19 | "jasmine-core": "~2.6.4", 20 | "polymer-bundler": "~3.0.1", 21 | "tsify": "~3.0.1", 22 | "tslint": "~5.6.0", 23 | "typedoc": "~0.8.0", 24 | "typescript": "2.4.2", 25 | "uglify-js": "~3.0.28", 26 | "watchify": "~3.9.0" 27 | } 28 | } 29 | -------------------------------------------------------------------------------- /scripts/build-demo: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env node 2 | // Copyright 2017 Google Inc. All Rights Reserved. 3 | // 4 | // Licensed under the Apache License, Version 2.0 (the "License"); 5 | // you may not use this file except in compliance with the License. 6 | // You may obtain a copy of the License at 7 | // 8 | // http://www.apache.org/licenses/LICENSE-2.0 9 | // 10 | // Unless required by applicable law or agreed to in writing, software 11 | // distributed under the License is distributed on an "AS IS" BASIS, 12 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 | // See the License for the specific language governing permissions and 14 | // limitations under the License. 15 | // ============================================================================= 16 | 17 | const path = require('path'); 18 | const spawn = require('cross-spawn'); 19 | 20 | const startTsFilePath = process.argv[2]; 21 | const outDir = process.argv[3]; 22 | 23 | let outputPath; 24 | if (outDir != null) { 25 | outputPath = path.join(outDir, 'bundle.js'); 26 | } else { 27 | outputPath = path.join(path.dirname(startTsFilePath), 'bundle.js') 28 | } 29 | 30 | 31 | const cmd = path.join('node_modules', '.bin', 'browserify'); 32 | const child = spawn(cmd, [startTsFilePath, '-p', '[tsify]', '-o' , outputPath], 33 | {detached: false}); 34 | child.stdout.pipe(process.stdout); 35 | child.stderr.pipe(process.stderr); 36 | child.on('close', () => console.log(`Stored bundle in ${outputPath}`)); 37 | -------------------------------------------------------------------------------- /scripts/deploy-demo: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env node 2 | // Copyright 2017 Google Inc. All Rights Reserved. 3 | // 4 | // Licensed under the Apache License, Version 2.0 (the "License"); 5 | // you may not use this file except in compliance with the License. 6 | // You may obtain a copy of the License at 7 | // 8 | // http://www.apache.org/licenses/LICENSE-2.0 9 | // 10 | // Unless required by applicable law or agreed to in writing, software 11 | // distributed under the License is distributed on an "AS IS" BASIS, 12 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 | // See the License for the specific language governing permissions and 14 | // limitations under the License. 15 | // ============================================================================= 16 | 17 | const path = require('path'); 18 | const spawn = require('cross-spawn'); 19 | 20 | const startTsFilePath = process.argv[2]; 21 | const startHTMLFilePath = process.argv[3]; 22 | const outDir = process.argv[4]; 23 | 24 | const cmd = path.join('scripts', 'build-demo'); 25 | const child = spawn(cmd, [startTsFilePath, outDir], {detached: false}); 26 | child.stdout.pipe(process.stdout); 27 | child.stderr.pipe(process.stderr); 28 | child.on('close', () => { 29 | const bundlePath = path.join(outDir, path.basename(startHTMLFilePath)); 30 | const cmd = path.join('node_modules', '.bin', 'polymer-bundler'); 31 | const child = spawn(cmd, ['--inline-scripts', '--inline-css', 32 | '--out-html', bundlePath, startHTMLFilePath], {detached: false}); 33 | child.stdout.pipe(process.stdout); 34 | child.stderr.pipe(process.stderr); 35 | child.on('close', () => console.log(`Saved bundled demo at ${bundlePath}`)); 36 | }); 37 | -------------------------------------------------------------------------------- /scripts/dump_checkpoint_vars.py: -------------------------------------------------------------------------------- 1 | # Copyright 2017 Google Inc. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | """A script to dump tensorflow checkpoint variables to deeplearnjs. 16 | 17 | This script takes a checkpoint file and writes all of the variables in the 18 | checkpoint to a directory. 19 | """ 20 | 21 | from __future__ import absolute_import 22 | from __future__ import division 23 | from __future__ import print_function 24 | 25 | import argparse 26 | import json 27 | import os 28 | import re 29 | import string 30 | import tensorflow as tf 31 | 32 | FLAGS = None 33 | FILENAME_CHARS = string.ascii_letters + string.digits + '_' 34 | 35 | 36 | def _var_name_to_filename(var_name): 37 | chars = [] 38 | for c in var_name: 39 | if c in FILENAME_CHARS: 40 | chars.append(c) 41 | elif c == '/': 42 | chars.append('_') 43 | return ''.join(chars) 44 | 45 | 46 | def main(): 47 | chk_fpath = os.path.expanduser(FLAGS.checkpoint_file) 48 | reader = tf.train.NewCheckpointReader(chk_fpath) 49 | var_to_shape_map = reader.get_variable_to_shape_map() 50 | output_dir = os.path.expanduser(FLAGS.output_dir) 51 | tf.gfile.MakeDirs(output_dir) 52 | manifest = {} 53 | remove_vars_compiled_re = re.compile(FLAGS.remove_variables_regex) 54 | 55 | var_filenames_strs = [] 56 | for name in var_to_shape_map: 57 | if (FLAGS.remove_variables_regex and 58 | re.match(remove_vars_compiled_re, name)) or name == 'global_step': 59 | print('Ignoring ' + name) 60 | continue 61 | var_filename = _var_name_to_filename(name) 62 | manifest[name] = {'filename': var_filename, 'shape': var_to_shape_map[name]} 63 | 64 | print('Writing variable ' + name + '...') 65 | tensor = reader.get_tensor(name) 66 | with open(os.path.join(output_dir, var_filename), 'wb') as f: 67 | f.write(tensor.tobytes()) 68 | 69 | var_filenames_strs.append("\"" + var_filename + "\"") 70 | 71 | manifest_fpath = os.path.join(output_dir, 'manifest.json') 72 | print('Writing manifest to ' + manifest_fpath) 73 | with open(manifest_fpath, 'w') as f: 74 | f.write(json.dumps(manifest, indent=2, sort_keys=True)) 75 | print('Done!') 76 | 77 | if __name__ == '__main__': 78 | parser = argparse.ArgumentParser() 79 | parser.add_argument( 80 | '--checkpoint_file', 81 | type=str, 82 | required=True, 83 | help='Path to the model checkpoint') 84 | parser.add_argument( 85 | '--output_dir', 86 | type=str, 87 | required=True, 88 | help='The output directory where to store the converted weights') 89 | parser.add_argument( 90 | '--remove_variables_regex', 91 | type=str, 92 | default='', 93 | help='A regular expression to match against variable names that should ' 94 | 'not be included') 95 | FLAGS, unparsed = parser.parse_known_args() 96 | if unparsed: 97 | print('Error, unrecognized flags:', unparsed) 98 | exit(-1) 99 | main() 100 | -------------------------------------------------------------------------------- /scripts/remove_optimizer_variables.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import 2 | from __future__ import division 3 | from __future__ import print_function 4 | 5 | import argparse 6 | import json 7 | import os 8 | import re 9 | import string 10 | 11 | FLAGS = None 12 | FILENAME_CHARS = string.ascii_letters + string.digits + '_' 13 | 14 | 15 | def main(): 16 | vars_dir = os.path.expanduser(FLAGS.output_dir) 17 | manifest_file = os.path.join(FLAGS.output_dir, 'manifest.json') 18 | with open(manifest_file) as f: 19 | manifest = json.load(f) 20 | new_manifest = {key: manifest[key] for key in manifest 21 | if 'Adam' not in key and 'beta' not in key} 22 | with open(manifest_file, 'w') as f: 23 | json.dump(new_manifest, f, indent=2, sort_keys=True) 24 | 25 | for name in os.listdir(FLAGS.output_dir): 26 | if 'Adam' in name or 'beta' in name: 27 | os.remove(os.path.join(FLAGS.output_dir, name)) 28 | 29 | 30 | 31 | if __name__ == '__main__': 32 | parser = argparse.ArgumentParser() 33 | parser.add_argument( 34 | '--output_dir', 35 | type=str, 36 | required=True, 37 | help='The output directory where to store the converted weights') 38 | FLAGS, unparsed = parser.parse_known_args() 39 | if unparsed: 40 | print('Error, unrecognized flags:', unparsed) 41 | exit(-1) 42 | main() 43 | -------------------------------------------------------------------------------- /scripts/watch-demo: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env node 2 | // Copyright 2017 Google Inc. All Rights Reserved. 3 | // 4 | // Licensed under the Apache License, Version 2.0 (the "License"); 5 | // you may not use this file except in compliance with the License. 6 | // You may obtain a copy of the License at 7 | // 8 | // http://www.apache.org/licenses/LICENSE-2.0 9 | // 10 | // Unless required by applicable law or agreed to in writing, software 11 | // distributed under the License is distributed on an "AS IS" BASIS, 12 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 | // See the License for the specific language governing permissions and 14 | // limitations under the License. 15 | // ============================================================================= 16 | 17 | const path = require('path'); 18 | const spawn = require('cross-spawn'); 19 | 20 | const startTsFilePath = process.argv[2]; 21 | const outputPath = path.join(path.dirname(startTsFilePath), 'bundle.js') 22 | 23 | const cmd = path.join('node_modules', '.bin', 'watchify'); 24 | const watchify = spawn(cmd, [startTsFilePath, '-p', '[tsify]', '-v', '--debug', 25 | '-o' , outputPath], {detached: false}); 26 | watchify.stdout.pipe(process.stdout); 27 | watchify.stderr.pipe(process.stderr); 28 | 29 | let httpServerStarted = false; 30 | 31 | console.log('Waiting for initial compile...'); 32 | watchify.stderr.on('data', (data) => { 33 | if (data.toString().includes(`bytes written to`)) { 34 | if (!httpServerStarted) { 35 | const httpCmd = path.join('node_modules', '.bin', 'http-server'); 36 | const httpServer = spawn(httpCmd, ['-c-1'], { detached: false}); 37 | httpServer.stdout.pipe(process.stdout); 38 | httpServer.stderr.pipe(process.stderr); 39 | httpServerStarted = true; 40 | } 41 | } 42 | }); 43 | -------------------------------------------------------------------------------- /src/ckpts/la_muse/Variable: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | import {Scalar, Array1D, Array3D, Array4D, CheckpointLoader, Model, NDArray, NDArrayMathGPU} from 'deeplearn'; 2 | 3 | const GOOGLE_CLOUD_STORAGE_DIR = 4 | // 'https://storage.googleapis.com/learnjs-data/checkpoint_zoo/transformnet/'; 5 | document.URL.substr(0,document.URL.lastIndexOf('/')) + '/ckpts/'; 6 | 7 | export class TransformNet implements Model { 8 | private variables: {[varName: string]: NDArray}; 9 | private variableDictionary: {[styleName: string]: 10 | {[varName: string]: NDArray}}; 11 | private timesScalar: NDArray; 12 | private plusScalar: NDArray; 13 | private epsilonScalar: NDArray; 14 | 15 | constructor(private math: NDArrayMathGPU, private style: string) { 16 | this.variableDictionary = {}; 17 | this.timesScalar = Scalar.new(150); 18 | this.plusScalar = Scalar.new(255./2); 19 | this.epsilonScalar = Scalar.new(1e-3); 20 | } 21 | 22 | setStyle(style: string) { 23 | this.style = style; 24 | } 25 | 26 | /** 27 | * Loads necessary variables for SqueezeNet. Resolves the promise when the 28 | * variables have all been loaded. 29 | */ 30 | async load(): Promise { 31 | if (this.variableDictionary[this.style] == null) { 32 | const checkpointLoader = 33 | new CheckpointLoader(GOOGLE_CLOUD_STORAGE_DIR + this.style + '/'); 34 | this.variableDictionary[this.style] = 35 | await checkpointLoader.getAllVariables(); 36 | } 37 | this.variables = this.variableDictionary[this.style]; 38 | } 39 | 40 | /** 41 | * Infer through TransformNet, assumes variables have been loaded. 42 | * Original Tensorflow version of model can be found at 43 | * https://github.com/lengstrom/fast-style-transfer 44 | * 45 | * @param preprocessedInput preprocessed input Array. 46 | * @return Array3D containing pixels of output img 47 | */ 48 | async predict (preprocessedInput: Array3D): Promise { 49 | 50 | const img = this.math.scope((keep, track) => { 51 | const conv1 = this.convLayer(preprocessedInput, 1, true, 0); 52 | const conv2 = this.convLayer(conv1, 2, true, 3); 53 | const conv3 = this.convLayer(conv2, 2, true, 6); 54 | const resid1 = this.residualBlock(conv3, 9); 55 | const resid2 = this.residualBlock(resid1, 15); 56 | const resid3 = this.residualBlock(resid2, 21); 57 | const resid4 = this.residualBlock(resid3, 27); 58 | const resid5 = this.residualBlock(resid4, 33); 59 | const convT1 = this.convTransposeLayer(resid5, 64, 2, 39); 60 | const convT2 = this.convTransposeLayer(convT1, 32, 2, 42); 61 | const convT3 = this.convLayer(convT2, 1, false, 45); 62 | const outTanh = this.math.tanh(convT3); 63 | const scaled = this.math.scalarTimesArray(this.timesScalar, outTanh); 64 | const shifted = this.math.scalarPlusArray(this.plusScalar, scaled); 65 | const clamped = this.math.clip(shifted, 0, 255); 66 | const normalized = this.math.divide( 67 | clamped, Scalar.new(255.)) as Array3D; 68 | 69 | return normalized; 70 | }); 71 | 72 | return img; 73 | } 74 | 75 | private convLayer(input: Array3D, strides: number, 76 | relu: boolean, varId: number): Array3D { 77 | const y = this.math.conv2d(input, 78 | this.variables[this.varName(varId)] as Array4D, 79 | null, [strides, strides], 'same'); 80 | 81 | const y2 = this.instanceNorm(y, varId + 1); 82 | 83 | if (relu) { 84 | return this.math.relu(y2); 85 | } 86 | 87 | return y2; 88 | } 89 | 90 | private convTransposeLayer(input: Array3D, numFilters: number, 91 | strides: number, varId: number): Array3D { 92 | const [height, width, ]: [number, number, number] = input.shape; 93 | const newRows = height * strides; 94 | const newCols = width * strides; 95 | const newShape: [number, number, number] = [newRows, newCols, numFilters]; 96 | 97 | const y = this.math.conv2dTranspose(input, 98 | this.variables[this.varName(varId)] as Array4D, 99 | newShape, [strides, strides], 'same'); 100 | 101 | const y2 = this.instanceNorm(y, varId + 1); 102 | 103 | const y3 = this.math.relu(y2); 104 | 105 | return y3; 106 | } 107 | 108 | private residualBlock(input: Array3D, varId: number): Array3D { 109 | const conv1 = this.convLayer(input, 1, true, varId); 110 | const conv2 = this.convLayer(conv1, 1, false, varId + 3); 111 | return this.math.addStrict(conv2, input); 112 | } 113 | 114 | private instanceNorm(input: Array3D, varId: number): Array3D { 115 | const [height, width, inDepth]: [number, number, number] = input.shape; 116 | const moments = this.math.moments(input, [0, 1]); 117 | const mu = moments.mean as Array3D; 118 | const sigmaSq = moments.variance as Array3D; 119 | const shift = this.variables[this.varName(varId)] as Array1D; 120 | const scale = this.variables[this.varName(varId + 1)] as Array1D; 121 | const epsilon = this.epsilonScalar; 122 | const normalized = this.math.divide(this.math.sub(input, mu), 123 | this.math.sqrt(this.math.add(sigmaSq, epsilon))); 124 | const shifted = this.math.add(this.math.multiply(scale, normalized), shift); 125 | return shifted.as3D(height, width, inDepth); 126 | } 127 | 128 | private varName(varId: number): string { 129 | if (varId === 0) { 130 | return 'Variable'; 131 | } 132 | else { 133 | return 'Variable_' + varId.toString(); 134 | } 135 | } 136 | 137 | dispose() { 138 | for (const styleName in this.variableDictionary) { 139 | for (const varName in this.variableDictionary[styleName]) { 140 | this.variableDictionary[styleName][varName].dispose(); 141 | } 142 | } 143 | } 144 | } 145 | -------------------------------------------------------------------------------- /src/polymer-spec.ts: -------------------------------------------------------------------------------- 1 | /** 2 | * @license 3 | * Copyright 2017 Google Inc. All Rights Reserved. 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * http://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 | * See the License for the specific language governing permissions and 14 | * limitations under the License. 15 | * ============================================================================= 16 | */ 17 | 18 | /** 19 | * @fileoverview 20 | * 21 | * Defines an interface for creating Polymer elements in Typescript with the 22 | * correct typings. A Polymer element should be defined like this: 23 | * 24 | * ``` 25 | * let MyElementPolymer = PolymerElement({ 26 | * is: 'my-polymer-element', 27 | * properties: { 28 | * foo: string, 29 | * bar: Array 30 | * } 31 | * }); 32 | * 33 | * class MyElement extends MyElementPolymer { 34 | * foo: string; 35 | * bar: number[]; 36 | * 37 | * ready() { 38 | * console.log('MyElement initialized!'); 39 | * } 40 | * } 41 | * 42 | * document.registerElement(MyElement.prototype.is, MyElement); 43 | * ``` 44 | */ 45 | 46 | export type Spec = { 47 | is: string; properties: { 48 | [key: string]: (Function|{ 49 | // tslint:disable-next-line:no-any 50 | type: Function, value?: any; 51 | reflectToAttribute?: boolean; 52 | readonly?: boolean; 53 | notify?: boolean; 54 | computed?: string; 55 | observer?: string; 56 | }) 57 | }; 58 | observers?: string[]; 59 | }; 60 | 61 | export function PolymerElement(spec: Spec) { 62 | // tslint:disable-next-line:no-any 63 | return Polymer.Class(spec as any) as {new (): PolymerHTMLElement}; 64 | } 65 | 66 | export interface PolymerHTMLElement extends HTMLElement, polymer.Base {} 67 | -------------------------------------------------------------------------------- /src/styletransfer-demo.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | deeplearn.js style transfer demo 25 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | -------------------------------------------------------------------------------- /src/styletransfer-demo.ts: -------------------------------------------------------------------------------- 1 | // tslint:disable-next-line:max-line-length 2 | import {Array3D, GPGPUContext, gpgpu_util, render_ndarray_gpu_util, NDArrayMathCPU, NDArrayMathGPU} from 'deeplearn'; 3 | // import * as imagenet_util from '../models/imagenet_util'; 4 | import {TransformNet} from './net'; 5 | import {PolymerElement, PolymerHTMLElement} from './polymer-spec'; 6 | 7 | // tslint:disable-next-line:variable-name 8 | export const StyleTransferDemoPolymer: new () => PolymerHTMLElement = 9 | PolymerElement({ 10 | is: 'styletransfer-demo', 11 | properties: { 12 | contentNames: Array, 13 | selectedContentName: String, 14 | styleNames: Array, 15 | selectedStyleName: String 16 | } 17 | }); 18 | 19 | export enum ApplicationState { 20 | IDLE = 1, 21 | TRAINING = 2 22 | } 23 | 24 | const CONTENT_NAMES = ['stata', 'face', 'diana', 'Upload from file']; 25 | const STYLE_MAPPINGS: {[varName: string]: string} = { 26 | 'Udnie, Francis Picabia': 'udnie', 27 | 'The Scream, Edvard Munch': 'scream', 28 | 'La Muse, Pablo Picasso': 'la_muse', 29 | 'Rain Princess, Leonid Afremov': 'rain_princess', 30 | 'The Wave, Katsushika Hokusai': 'wave', 31 | 'The Wreck of the Minotaur, J.M.W. Turner': 'wreck' 32 | }; 33 | const STYLE_NAMES = Object.keys(STYLE_MAPPINGS); 34 | 35 | export class StyleTransferDemo extends StyleTransferDemoPolymer { 36 | // DeeplearnJS stuff 37 | private math: NDArrayMathGPU; 38 | private mathCPU: NDArrayMathCPU; 39 | private gpgpu: GPGPUContext; 40 | private gl: WebGLRenderingContext; 41 | 42 | private transformNet: TransformNet; 43 | 44 | // DOM Elements 45 | private contentImgElement: HTMLImageElement; 46 | private styleImgElement: HTMLImageElement; 47 | // tslint:disable-next-line:no-any 48 | private sizeSlider: any; 49 | 50 | private canvas: HTMLCanvasElement; 51 | 52 | private startButton: HTMLButtonElement; 53 | 54 | // tslint:disable-next-line:no-any 55 | private camDialog: any; 56 | private stream: MediaStream; 57 | private webcamVideoElement: HTMLVideoElement; 58 | private takePicButton: HTMLButtonElement; 59 | private closeModal: HTMLButtonElement; 60 | 61 | private fileSelect: HTMLButtonElement; 62 | 63 | // Polymer properties 64 | private contentNames: string[]; 65 | private selectedContentName: string; 66 | private styleNames: string[]; 67 | private selectedStyleName: string; 68 | 69 | private status: string; 70 | 71 | private applicationState: ApplicationState; 72 | 73 | ready() { 74 | // Initialize deeplearn.js stuff 75 | this.canvas = this.querySelector('#imageCanvas') as HTMLCanvasElement; 76 | this.gl = gpgpu_util.createWebGLContext(this.canvas); 77 | this.gpgpu = new GPGPUContext(this.gl); 78 | this.math = new NDArrayMathGPU(this.gpgpu); 79 | this.mathCPU = new NDArrayMathCPU(); 80 | 81 | // Initialize polymer properties 82 | this.applicationState = ApplicationState.IDLE; 83 | this.status = ''; 84 | 85 | // Retrieve DOM for images 86 | this.contentImgElement = 87 | this.querySelector('#contentImg') as HTMLImageElement; 88 | this.styleImgElement = 89 | this.querySelector('#styleImg') as HTMLImageElement; 90 | 91 | // Render DOM for images 92 | this.contentNames = CONTENT_NAMES; 93 | this.selectedContentName = 'stata'; 94 | this.contentImgElement.src = 'images/stata.jpg'; 95 | this.contentImgElement.height = 250; 96 | 97 | this.styleNames = STYLE_NAMES; 98 | this.selectedStyleName = 'Udnie, Francis Picabia'; 99 | this.styleImgElement.src = 'images/udnie.jpg'; 100 | this.styleImgElement.height = 250; 101 | 102 | this.transformNet = new TransformNet(this.math, 103 | STYLE_MAPPINGS[this.selectedStyleName]); 104 | 105 | this.initWebcamVariables(); 106 | 107 | // tslint:disable-next-line:no-any 108 | this.sizeSlider = this.querySelector('#sizeSlider') as any; 109 | this.sizeSlider.addEventListener('immediate-value-change', 110 | // tslint:disable-next-line:no-any 111 | (event: any) => { 112 | this.styleImgElement.height = this.sizeSlider.immediateValue; 113 | this.contentImgElement.height = this.sizeSlider.immediateValue; 114 | }); 115 | // tslint:disable-next-line:no-any 116 | this.sizeSlider.addEventListener('change', (event: any) => { 117 | this.styleImgElement.height = this.sizeSlider.immediateValue; 118 | this.contentImgElement.height = this.sizeSlider.immediateValue; 119 | }); 120 | 121 | this.fileSelect = this.querySelector('#fileSelect') as HTMLButtonElement; 122 | // tslint:disable-next-line:no-any 123 | this.fileSelect.addEventListener('change', (event: any) => { 124 | const f: File = event.target.files[0]; 125 | const fileReader: FileReader = new FileReader(); 126 | fileReader.onload = ((e) => { 127 | const target: FileReader = e.target as FileReader; 128 | this.contentImgElement.src = target.result; 129 | }); 130 | fileReader.readAsDataURL(f); 131 | this.fileSelect.value = ''; 132 | }); 133 | 134 | // Add listener to drop downs 135 | const contentDropdown = this.querySelector('#content-dropdown'); 136 | // tslint:disable-next-line:no-any 137 | contentDropdown.addEventListener('iron-activate', (event: any) => { 138 | const selected: string = event.detail.selected as string; 139 | if (selected === 'Use webcam') { 140 | this.openWebcamModal(); 141 | } 142 | else if (selected === 'Upload from file') { 143 | this.fileSelect.click(); 144 | } 145 | else { 146 | this.contentImgElement.src = 'images/' + selected + '.jpg'; 147 | } 148 | }); 149 | 150 | const styleDropdown = this.querySelector('#style-dropdown'); 151 | // tslint:disable-next-line:no-any 152 | styleDropdown.addEventListener('iron-activate', (event: any) => { 153 | this.styleImgElement.src = 154 | 'images/' + STYLE_MAPPINGS[event.detail.selected] + '.jpg'; 155 | }); 156 | 157 | // Add listener to start 158 | this.startButton = this.querySelector('#start') as HTMLButtonElement; 159 | this.startButton.addEventListener('click', () => { 160 | (this.querySelector('#load-error-message') as HTMLElement).style.display = 161 | 'none'; 162 | this.startButton.textContent = 163 | 'Starting style transfer.. Downloading + running model'; 164 | this.startButton.disabled = true; 165 | this.transformNet.setStyle(STYLE_MAPPINGS[this.selectedStyleName]); 166 | 167 | this.transformNet.load() 168 | .then(() => { 169 | this.startButton.textContent = 'Processing image'; 170 | this.runInference(); 171 | this.startButton.textContent = 'Start Style Transfer'; 172 | this.startButton.disabled = false; 173 | }) 174 | .catch((error) => { 175 | console.log(error); 176 | this.startButton.textContent = 'Start Style Transfer'; 177 | this.startButton.disabled = false; 178 | const errMessage = 179 | this.querySelector('#load-error-message') as HTMLElement; 180 | errMessage.textContent = error; 181 | errMessage.style.display = 'block'; 182 | }); 183 | }); 184 | } 185 | 186 | private initWebcamVariables() { 187 | this.camDialog = this.querySelector('#webcam-dialog'); 188 | this.webcamVideoElement = 189 | this.querySelector('#webcamVideo') as HTMLVideoElement; 190 | this.takePicButton = 191 | this.querySelector('#takePicButton') as HTMLButtonElement; 192 | this.closeModal = this.querySelector('#closeModal') as HTMLButtonElement; 193 | 194 | // Check if webcam is even available 195 | // tslint:disable-next-line:no-any 196 | const navigatorAny = navigator as any; 197 | navigator.getUserMedia = navigator.getUserMedia || 198 | navigatorAny.webkitGetUserMedia || navigatorAny.mozGetUserMedia || 199 | navigatorAny.msGetUserMedia; 200 | if (navigator.getUserMedia) { 201 | const contentNames = CONTENT_NAMES.slice(); 202 | contentNames.unshift('Use webcam'); 203 | this.contentNames = contentNames; 204 | } 205 | 206 | this.closeModal.addEventListener('click', () => { 207 | this.stream.getTracks()[0].stop(); 208 | }); 209 | 210 | this.takePicButton.addEventListener('click', () => { 211 | const hiddenCanvas: HTMLCanvasElement = 212 | this.querySelector('#hiddenCanvas') as HTMLCanvasElement; 213 | const hiddenContext: CanvasRenderingContext2D = 214 | hiddenCanvas.getContext('2d'); 215 | hiddenCanvas.width = this.webcamVideoElement.width; 216 | hiddenCanvas.height = this.webcamVideoElement.height; 217 | hiddenContext.drawImage(this.webcamVideoElement, 0, 0, 218 | hiddenCanvas.width, hiddenCanvas.height); 219 | const imageDataURL = hiddenCanvas.toDataURL('image/jpg'); 220 | this.contentImgElement.src = imageDataURL; 221 | this.stream.getTracks()[0].stop(); 222 | }); 223 | } 224 | 225 | private openWebcamModal() { 226 | this.camDialog.open(); 227 | navigator.getUserMedia( 228 | { 229 | video: true 230 | }, 231 | (stream) => { 232 | this.stream = stream; 233 | this.webcamVideoElement.src = window.URL.createObjectURL(stream); 234 | this.webcamVideoElement.play(); 235 | }, 236 | (err) => { 237 | console.error(err); 238 | } 239 | ); 240 | } 241 | 242 | async runInference() { 243 | await this.math.scope(async (keep, track) => { 244 | 245 | const preprocessed = track(Array3D.fromPixels(this.contentImgElement)); 246 | 247 | const inferenceResult = await this.transformNet.predict(preprocessed); 248 | 249 | this.setCanvasShape(inferenceResult.shape); 250 | this.renderShader = render_ndarray_gpu_util.getRenderRGBShader( 251 | this.gpgpu, inferenceResult.shape[1]); 252 | render_ndarray_gpu_util.renderToCanvas( 253 | this.gpgpu, this.renderShader, inferenceResult.getTexture()); 254 | }); 255 | } 256 | 257 | private setCanvasShape(shape: number[]) { 258 | this.canvas.width = shape[1]; 259 | this.canvas.height = shape[0]; 260 | if (shape[1] > shape[0]) { 261 | this.canvas.style.width = '500px'; 262 | this.canvas.style.height = (shape[0]/shape[1]*500).toString() + 'px'; 263 | } 264 | else { 265 | this.canvas.style.height = '500px'; 266 | this.canvas.style.width = (shape[1]/shape[0]*500).toString() + 'px'; 267 | } 268 | } 269 | 270 | } 271 | 272 | document.registerElement(StyleTransferDemo.prototype.is, StyleTransferDemo); 273 | -------------------------------------------------------------------------------- /src/styletransfer.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 133 | 250 | 251 | -------------------------------------------------------------------------------- /src/support.js: -------------------------------------------------------------------------------- 1 | /** 2 | * @license 3 | * Copyright 2017 Google Inc. All Rights Reserved. 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * http://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 | * See the License for the specific language governing permissions and 14 | * limitations under the License. 15 | * ============================================================================= 16 | */ 17 | 18 | function isSafari() { 19 | var ua = navigator.userAgent.toLowerCase(); 20 | if (ua.indexOf('safari') != -1) { 21 | if (ua.indexOf('chrome') > -1) { 22 | return false; 23 | } else { 24 | return true; 25 | } 26 | } 27 | } 28 | function isMobile() { 29 | var a = navigator.userAgent || navigator.vendor || window.opera; 30 | return /(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i 31 | .test(a) || 32 | /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i 33 | .test(a.substr(0, 4)); 34 | } 35 | 36 | function isWebGLEnabled() { 37 | var canvas = document.createElement('canvas'); 38 | 39 | var attributes = { 40 | alpha: false, 41 | antialias: false, 42 | premultipliedAlpha: false, 43 | preserveDrawingBuffer: false, 44 | depth: false, 45 | stencil: false, 46 | failIfMajorPerformanceCaveat: true 47 | }; 48 | return null != (canvas.getContext('webgl', attributes) || 49 | canvas.getContext('experimental-webgl', attributes)); 50 | } 51 | 52 | function isNotSupported() { 53 | return isMobile() || isSafari(); 54 | } 55 | 56 | function buildAndShowDialog(title, content) { 57 | var dialogContainer = document.createElement('div'); 58 | dialogContainer.innerHTML = ` 59 | 60 |

${title}

61 |
62 |

${content}

63 |
64 | 65 | `; 66 | document.body.appendChild(dialogContainer); 67 | var dialog = document.getElementById('dialog'); 68 | dialog.style.width = '430px'; 69 | dialogPolyfill.registerDialog(dialog); 70 | dialog.showModal(); 71 | } 72 | 73 | function inializePolymerPage() { 74 | document.addEventListener('WebComponentsReady', function(event) { 75 | if (isNotSupported()) { 76 | const title = `This device is not yet supported`; 77 | const content = ` 78 | We do not yet support your device, please try to load this demo on a desktop computer with Chrome. 79 | We are working hard to add support for other devices. Check back soon! 80 | `; 81 | buildAndShowDialog(title, content); 82 | } else if (!isWebGLEnabled()) { 83 | const title = `Check if hardware acceleration is enabled`; 84 | const content = ` 85 | Looks like your device is supported but settings aren't in place. 86 | Please check if WebGL is enabled for your browser. 87 | See: How can I enable WebGL in my browser? 88 | `; 89 | buildAndShowDialog(title, content); 90 | } else { 91 | var bundleScript = document.createElement('script'); 92 | bundleScript.src = 'bundle.js'; 93 | document.head.appendChild(bundleScript); 94 | } 95 | }); 96 | } 97 | inializePolymerPage(); 98 | -------------------------------------------------------------------------------- /tsconfig.json: -------------------------------------------------------------------------------- 1 | { 2 | "compilerOptions": { 3 | "module": "commonjs", 4 | "noImplicitAny": true, 5 | "sourceMap": true, 6 | "removeComments": true, 7 | "preserveConstEnums": true, 8 | "declaration": true, 9 | "target": "es5", 10 | "lib": ["es2015", "dom"], 11 | "outDir": "./dist", 12 | "noUnusedLocals": true, 13 | "noImplicitReturns": true, 14 | "noImplicitThis": true, 15 | "noUnusedParameters": false, 16 | "pretty": true, 17 | "noFallthroughCasesInSwitch": true, 18 | "allowUnreachableCode": false 19 | } 20 | } 21 | -------------------------------------------------------------------------------- /tslint.json: -------------------------------------------------------------------------------- 1 | { 2 | "rules": { 3 | "array-type": [true, "array-simple"], 4 | "arrow-return-shorthand": true, 5 | "ban": [true, 6 | ["fit"], 7 | ["fdescribe"], 8 | ["xit"], 9 | ["xdescribe"], 10 | ["fitAsync"], 11 | ["xitAsync"], 12 | ["fitFakeAsync"], 13 | ["xitFakeAsync"] 14 | ], 15 | "ban-types": [true, 16 | ["Object", "Use {} instead."], 17 | ["String", "Use 'string' instead."], 18 | ["Number", "Use 'number' instead."], 19 | ["Boolean", "Use 'boolean' instead."] 20 | ], 21 | "class-name": true, 22 | "interface-name": [true, "never-prefix"], 23 | "jsdoc-format": true, 24 | "forin": false, 25 | "label-position": true, 26 | "max-line-length": [true, 80], 27 | "new-parens": true, 28 | "no-angle-bracket-type-assertion": true, 29 | "no-any": true, 30 | "no-construct": true, 31 | "no-debugger": true, 32 | "no-default-export": true, 33 | "no-inferrable-types": true, 34 | "no-namespace": [true, "allow-declarations"], 35 | "no-reference": true, 36 | "no-require-imports": true, 37 | "no-string-throw": true, 38 | "no-unused-expression": true, 39 | "no-unused-variable": true, 40 | "no-var-keyword": true, 41 | "object-literal-shorthand": true, 42 | "only-arrow-functions": [true, "allow-declarations", "allow-named-functions"], 43 | "prefer-const": true, 44 | "radix": true, 45 | "semicolon": [true, "always", "ignore-bound-class-methods"], 46 | "switch-default": true, 47 | "triple-equals": [true, "allow-null-check"], 48 | "use-isnan": true, 49 | "variable-name": [ 50 | true, 51 | "check-format", 52 | "ban-keywords", 53 | "allow-leading-underscore", 54 | "allow-trailing-underscore" 55 | ] 56 | } 57 | } 58 | --------------------------------------------------------------------------------