├── _config.yml
├── .gitignore
├── favicon.ico
├── License.txt
├── hand-dataset.js
├── README.md
├── index.html
├── webcam.js
├── model.js
├── style.css
└── LICENSE


/_config.yml:
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1 | theme: jekyll-theme-hacker


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/.gitignore:
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1 | # Mac OS files
2 | .DS_Store
3 | 


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/favicon.ico:
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https://raw.githubusercontent.com/oscar-defelice/handgesture.github.io/main/favicon.ico


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/License.txt:
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 1 | Licensed under the Apache License, Version 2.0 (the \"License\");
 2 | you may not use this file except in compliance with the License.
 3 | You may obtain a copy of the License at
 4 | 
 5 | https://www.apache.org/licenses/LICENSE-2.0
 6 | 
 7 | Unless required by applicable law or agreed to in writing, software
 8 | distributed under the License is distributed on an \"AS IS\" BASIS,
 9 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
10 | See the License for the specific language governing permissions and
11 | limitations under the License.
12 | 


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/hand-dataset.js:
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 1 | class HandDataset {
 2 |   constructor() {
 3 |     this.labels = []
 4 |   }
 5 | 
 6 |   addExample(example, label) {
 7 |     if (this.xs == null) {
 8 |       this.xs = tf.keep(example);
 9 |       this.labels.push(label);
10 |     } else {
11 |       const oldX = this.xs;
12 |       this.xs = tf.keep(oldX.concat(example, 0));
13 |       this.labels.push(label);
14 |       oldX.dispose();
15 |     }
16 |   }
17 | 
18 |   encodeLabels(numClasses) {
19 |     for (var i = 0; i < this.labels.length; i++) {
20 |       if (this.ys == null) {
21 |         this.ys = tf.keep(tf.tidy(
22 |           () => {
23 |             return tf.oneHot(
24 |               tf.tensor1d([this.labels[i]]).toInt(), numClasses)
25 |           }));
26 |       } else {
27 |         const y = tf.tidy(
28 |           () => {
29 |             return tf.oneHot(
30 |               tf.tensor1d([this.labels[i]]).toInt(), numClasses)
31 |           });
32 |         const oldY = this.ys;
33 |         this.ys = tf.keep(oldY.concat(y, 0));
34 |         oldY.dispose();
35 |         y.dispose();
36 |       }
37 |     }
38 |   }
39 | }
40 | 


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/README.md:
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 1 | # handgesture.github.io
 2 | Repository for a browser based tensorflow model to classify hand gestures.
 3 | 
 4 | ## Introduction
 5 | 
 6 | We make use of trasfer learning and of [MobileNet](https://arxiv.org/abs/1704.04861), a set of light and efficient CNNs designed specifically for mobile and embedded computer vision applications. MobileNets are based on a streamlined architecture that uses depth-wise separable convolutions to build light weight deep neural networks.
 7 | 
 8 | ## How to use
 9 | 
10 | Simply, go to the [webpage](https://oscar-defelice.github.io/handgesture.github.io/). 
11 | It might be required to allow the browser to access your webcam.
12 | Hence, you build a little dataset (50/60 images per class should be enough).
13 | 
14 | ### Example of dataset construction
15 | 
16 | You put your hand in front of the camera, indicating for instance 2.
17 | Click on the `two` button would add the image and the corresponding label to the dataset.
18 | 
19 | ### Training
20 | Once you are happy with the examples you have added, train your network.
21 | A browser alert would notify when training is done, allowing you starting the predictions.
22 | 
23 | ### Predictions
24 | Again, you put your hand in front of the camera, miming the gesture of three, and you should visualise the message _I see three_.
25 | 


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/index.html:
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 1 | <!DOCTYPE html>
 2 | <html>
 3 | 
 4 | <head>
 5 | 	<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest"> </script>
 6 | 	<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-vis"></script>
 7 | 	<script src="webcam.js"></script>
 8 | 	<script src="hand-dataset.js"></script>
 9 | 	<meta charset="UTF-8">
10 | 	<title>Train and Predict Hand gestures</title>
11 | 	<link href='https://fonts.googleapis.com/css?family=Pacifico' rel='stylesheet' type='text/css'>
12 | 	<link href='https://fonts.googleapis.com/css?family=Arimo' rel='stylesheet' type='text/css'>
13 | 	<link href='https://fonts.googleapis.com/css?family=Hind:300' rel='stylesheet' type='text/css'>
14 | 	<link href='https://fonts.googleapis.com/css?family=Open+Sans+Condensed:300' rel='stylesheet' type='text/css'>
15 | 	<link type="text/css" rel="stylesheet" href="style.css">
16 | 	<link rel="shortcut icon" href="favicon.ico">
17 | 
18 | </head>
19 | 
20 | <body>
21 | 	<h1>Train and Predict Hand Gestures</h1>
22 | 	<div>
23 | 		<div class="center">
24 | 			<video autoplay playsinline muted id="wc" width="224" height="224"></video>
25 | 		</div>
26 | 	</div>
27 | 	<button type="button" id="0" onclick="handleButton(this)">Zero</button>
28 | 	<button type="button" id="1" onclick="handleButton(this)">One</button>
29 | 	<button type="button" id="2" onclick="handleButton(this)">Two</button>
30 | 	<button type="button" id="3" onclick="handleButton(this)">Three</button>
31 | 	<button type="button" id="4" onclick="handleButton(this)">Four</button>
32 | 	<button type="button" id="5" onclick="handleButton(this)">Five</button>
33 | 	<div id="zeroSamples">Zero Samples:</div>
34 | 	<div id="oneSamples">One Samples:</div>
35 | 	<div id="twoSamples">Two Samples:</div>
36 | 	<div id="threeSamples">Three Samples:</div>
37 | 	<div id="fourSamples">Four Samples:</div>
38 | 	<div id="fiveSamples">Five Samples:</div>
39 | 	<button type="button" id="train" onclick="doTraining()">Train Network</button>
40 | 	<div id="dummy">Once training is complete, click 'Start Predicting' to see predictions, and 'Stop Predicting' to end. Once you are happy with your model, click 'Download Model' to save the model (and its weights) to your local disk.</div>
41 | 	<button type="button" id="startPredicting" onclick="startPredicting()">Start Predicting</button>
42 | 	<button type="button" id="stopPredicting" onclick="stopPredicting()">Stop Predicting</button>
43 | 	<button type="button" id="saveModel" onclick="saveModel()">Download Model</button>
44 | 	<div id="prediction"></div>
45 | 	<p><br></p>
46 | 	<p><br></p>
47 | 	<div id="powered_by" style="font-size:11px">
48 | 		<a href="https://oscar-defelice.github.io">
49 | 			<img src="https://user-images.githubusercontent.com/49638680/98257158-a2594880-1f7f-11eb-95c8-11e438336175.png" height="100" /><br>
50 | 		</a>
51 | 		Powered by
52 | 		<a href="https://oscar-defelice.github.io" style="color:white;font-size:11px">Oscar de Felice</a>
53 | 	</div>
54 | </body>
55 | 
56 | <script src="model.js"></script>
57 | 
58 | </html>
59 | 


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/webcam.js:
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  1 | // Copyright 2019 The TensorFlow Authors. 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 | 
 16 | /**
 17 |  * A class that wraps webcam video elements to capture Tensor4Ds.
 18 |  */
 19 | 
 20 | 
 21 | class Webcam {
 22 |   /**
 23 |    * @param {HTMLVideoElement} webcamElement A HTMLVideoElement representing the
 24 |    *     webcam feed.
 25 |    */
 26 |   constructor(webcamElement) {
 27 |     this.webcamElement = webcamElement;
 28 |   }
 29 | 
 30 |   /**
 31 |    * Captures a frame from the webcam and normalizes it between -1 and 1.
 32 |    * Returns a batched image (1-element batch) of shape [1, w, h, c].
 33 |    */
 34 | 
 35 | 
 36 |   capture() {
 37 |     return tf.tidy(() => {
 38 |       // Reads the image as a Tensor from the webcam <video> element.
 39 |       const webcamImage = tf.browser.fromPixels(this.webcamElement);
 40 | 
 41 |       const reversedImage = webcamImage.reverse(1);
 42 | 
 43 |       // Crop the image so we're using the center square of the rectangular
 44 |       // webcam.
 45 |       const croppedImage = this.cropImage(reversedImage);
 46 | 
 47 |       // Expand the outer most dimension so we have a batch size of 1.
 48 |       const batchedImage = croppedImage.expandDims(0);
 49 | 
 50 |       // Normalize the image between -1 and 1. The image comes in between 0-255,
 51 |       // so we divide by 127 and subtract 1.
 52 |       return batchedImage.toFloat().div(tf.scalar(127)).sub(tf.scalar(1));
 53 |     });
 54 |   }
 55 | 
 56 |   /**
 57 |    * Crops an image tensor so we get a square image with no white space.
 58 |    * @param {Tensor4D} img An input image Tensor to crop.
 59 |    */
 60 | 
 61 | 
 62 |   cropImage(img) {
 63 |     const size = Math.min(img.shape[0], img.shape[1]);
 64 |     const centerHeight = img.shape[0] / 2;
 65 |     const beginHeight = centerHeight - (size / 2);
 66 |     const centerWidth = img.shape[1] / 2;
 67 |     const beginWidth = centerWidth - (size / 2);
 68 |     return img.slice([beginHeight, beginWidth, 0], [size, size, 3]);
 69 |   }
 70 | 
 71 |   /**
 72 |    * Adjusts the video size so we can make a centered square crop without
 73 |    * including whitespace.
 74 |    * @param {number} width The real width of the video element.
 75 |    * @param {number} height The real height of the video element.
 76 |    */
 77 | 
 78 | 
 79 |   adjustVideoSize(width, height) {
 80 |     const aspectRatio = width / height;
 81 |     if (width >= height) {
 82 |       this.webcamElement.width = aspectRatio * this.webcamElement.height;
 83 |     } else if (width < height) {
 84 |       this.webcamElement.height = this.webcamElement.width / aspectRatio;
 85 |     }
 86 |   }
 87 | 
 88 |   async setup() {
 89 |     return new Promise((resolve, reject) => {
 90 |       navigator.getUserMedia = navigator.getUserMedia ||
 91 |           navigator.webkitGetUserMedia || navigator.mozGetUserMedia ||
 92 |           navigator.msGetUserMedia;
 93 |       if (navigator.getUserMedia) {
 94 |         navigator.getUserMedia(
 95 |             {video: {width: 224, height: 224}},
 96 |             stream => {
 97 |               this.webcamElement.srcObject = stream;
 98 |               this.webcamElement.addEventListener('loadeddata', async () => {
 99 |                 this.adjustVideoSize(
100 |                     this.webcamElement.videoWidth,
101 |                     this.webcamElement.videoHeight);
102 |                 resolve();
103 |               }, false);
104 |             },
105 |             error => {
106 |               reject(error);
107 |             });
108 |       } else {
109 |         reject();
110 |       }
111 |     });
112 |   }
113 | }
114 | 


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/model.js:
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  1 | let mobilenet;
  2 | let model;
  3 | const webcam = new Webcam(document.getElementById('wc'));
  4 | const dataset = new HandDataset();
  5 | var zeroSamples = 0,
  6 |   oneSamples = 0,
  7 |   twoSamples = 0,
  8 |   threeSamples = 0,
  9 |   fourSamples = 0,
 10 |   fiveSamples = 0;
 11 | let isPredicting = false;
 12 | let numClasses = 6
 13 | 
 14 | async function loadMobilenet() {
 15 |   const mobilenet = await tf.loadLayersModel('https://storage.googleapis.com/tfjs-models/tfjs/mobilenet_v1_1.0_224/model.json');
 16 |   const layer = mobilenet.getLayer('conv_pw_13_relu');
 17 |   return tf.model({
 18 |     inputs: mobilenet.inputs,
 19 |     outputs: layer.output
 20 |   });
 21 | }
 22 | 
 23 | async function train() {
 24 |   dataset.ys = null;
 25 |   dataset.encodeLabels(numClasses);
 26 | 
 27 |   // In the space below create a neural network that can classify hand gestures
 28 |   // corresponding to zero, one, two, three, four and five. The first layer
 29 |   // of your network should be a flatten layer that takes as input the output
 30 |   // from the pre-trained MobileNet model. Since we have 6 classes, your output
 31 |   // layer should have 6 units and a softmax activation function. You are free
 32 |   // to use as many hidden layers and neurons as you like.
 33 |   model = tf.sequential({
 34 |     layers: [
 35 |       tf.layers.flatten({
 36 |         inputShape: mobilenet.outputs[0].shape.slice(1)
 37 |       }),
 38 |       tf.layers.dense({
 39 |         units: 128,
 40 |         activation: 'relu'
 41 |       }),
 42 |       tf.layers.dense({
 43 |         units: 64,
 44 |         activation: 'relu'
 45 |       }),
 46 |       tf.layers.dense({
 47 |         units: numClasses,
 48 |         activation: 'softmax'
 49 |       })
 50 |     ]
 51 |   });
 52 | 
 53 | 
 54 |   // Set the optimizer to be tf.train.adam() with a learning rate of 0.0001.
 55 |   const optimizer = tf.train.adam(0.0001)
 56 | 
 57 | 
 58 |   // Compile the model using the categoricalCrossentropy loss, and
 59 |   // the optimizer you defined above.
 60 |   model.compile({
 61 |     optimizer: optimizer,
 62 |     loss: 'categoricalCrossentropy'
 63 |   });
 64 | 
 65 |   let loss = 0;
 66 |   model.fit(dataset.xs, dataset.ys, {
 67 |     epochs: 10,
 68 |     callbacks: {
 69 |       onBatchEnd: async (batch, logs) => {
 70 |         loss = logs.loss.toFixed(6);
 71 |         console.log('LOSS: ' + loss);
 72 |       }
 73 |     }
 74 |   });
 75 |   tfvis.show.modelSummary({
 76 |     name: 'Model Architecture'
 77 |   }, model);
 78 | }
 79 | 
 80 | 
 81 | function handleButton(elem) {
 82 |   switch (elem.id) {
 83 |     case "0":
 84 |       zeroSamples++;
 85 |       document.getElementById("zeroSamples").innerText = "Zero samples:" + zeroSamples;
 86 |       break;
 87 |     case "1":
 88 |       oneSamples++;
 89 |       document.getElementById("oneSamples").innerText = "One samples:" + oneSamples;
 90 |       break;
 91 |     case "2":
 92 |       twoSamples++;
 93 |       document.getElementById("twoSamples").innerText = "Two samples:" + twoSamples;
 94 |       break;
 95 |     case "3":
 96 |       threeSamples++;
 97 |       document.getElementById("threeSamples").innerText = "Three samples:" + threeSamples;
 98 |       break;
 99 |     case "4":
100 |       fourSamples++;
101 |       document.getElementById("fourSamples").innerText = "Four samples" + fourSamples;
102 |       break;
103 |     case "5":
104 |       fiveSamples++;
105 |       document.getElementById("fiveSamples").innerText = "Five samples" + fiveSamples;
106 |       break;
107 |   }
108 |   label = parseInt(elem.id);
109 |   const img = webcam.capture();
110 |   dataset.addExample(mobilenet.predict(img), label);
111 | 
112 | }
113 | 
114 | async function predict() {
115 |   while (isPredicting) {
116 |     const predictedClass = tf.tidy(() => {
117 |       const img = webcam.capture();
118 |       const activation = mobilenet.predict(img);
119 |       const predictions = model.predict(activation);
120 |       return predictions.as1D().argMax();
121 |     });
122 |     const classId = (await predictedClass.data())[0];
123 |     var predictionText = "";
124 |     switch (classId) {
125 |       case 0:
126 |         predictionText = "I see Zero";
127 |         break;
128 |       case 1:
129 |         predictionText = "I see One";
130 |         break;
131 |       case 2:
132 |         predictionText = "I see Two";
133 |         break;
134 |       case 3:
135 |         predictionText = "I see Three";
136 |         break;
137 |       case 4:
138 |         predictionText = "I see Four";
139 |         break;
140 |       case 5:
141 |         predictionText = "I see Five";
142 |         break;
143 |     }
144 |     document.getElementById("prediction").innerText = predictionText;
145 | 
146 | 
147 |     predictedClass.dispose();
148 |     await tf.nextFrame();
149 |   }
150 | }
151 | 
152 | 
153 | function doTraining() {
154 |   train();
155 |   alert("Training Done!")
156 | }
157 | 
158 | function startPredicting() {
159 |   isPredicting = true;
160 |   predict();
161 | }
162 | 
163 | function stopPredicting() {
164 |   isPredicting = false;
165 |   predict();
166 | }
167 | 
168 | 
169 | function saveModel() {
170 |   model.save('downloads://my_model');
171 | }
172 | 
173 | 
174 | async function init() {
175 |   await webcam.setup();
176 |   mobilenet = await loadMobilenet();
177 |   tf.tidy(() => mobilenet.predict(webcam.capture()));
178 | 
179 | }
180 | 
181 | 
182 | init();
183 | 


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/style.css:
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  1 | @import url(https://fonts.googleapis.com/css?family=Open+Sans);
  2 | 
  3 | .btn {
  4 |   display: inline-block;
  5 |   *display: inline;
  6 |   *zoom: 1;
  7 |   padding: 4px 10px 4px;
  8 |   margin-bottom: 0;
  9 |   font-size: 13px;
 10 |   line-height: 18px;
 11 |   color: #333333;
 12 |   text-align: center;
 13 |   text-shadow: 0 1px 1px rgba(255, 255, 255, 0.75);
 14 |   vertical-align: middle;
 15 |   background-color: #f5f5f5;
 16 |   background-image: -moz-linear-gradient(top, #ffffff, #e6e6e6);
 17 |   background-image: -ms-linear-gradient(top, #ffffff, #e6e6e6);
 18 |   background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ffffff), to(#e6e6e6));
 19 |   background-image: -webkit-linear-gradient(top, #ffffff, #e6e6e6);
 20 |   background-image: -o-linear-gradient(top, #ffffff, #e6e6e6);
 21 |   background-image: linear-gradient(top, #ffffff, #e6e6e6);
 22 |   background-repeat: repeat-x;
 23 |   filter: progid:dximagetransform.microsoft.gradient(startColorstr=#ffffff, endColorstr=#e6e6e6, GradientType=0);
 24 |   border-color: #e6e6e6 #e6e6e6 #e6e6e6;
 25 |   border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
 26 |   border: 1px solid #e6e6e6;
 27 |   -webkit-border-radius: 4px;
 28 |   -moz-border-radius: 4px;
 29 |   border-radius: 4px;
 30 |   -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
 31 |   -moz-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
 32 |   box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
 33 |   cursor: pointer;
 34 |   *margin-left: .3em;
 35 | }
 36 | 
 37 | .btn:hover, .btn:active, .btn.active, .btn.disabled, .btn[disabled] {
 38 |   background-color: #e6e6e6;
 39 | }
 40 | 
 41 | .btn-large {
 42 |   padding: 9px 14px;
 43 |   font-size: 15px;
 44 |   line-height: normal;
 45 |   -webkit-border-radius: 5px;
 46 |   -moz-border-radius: 5px;
 47 |   border-radius: 5px;
 48 | }
 49 | 
 50 | .btn:hover {
 51 |   color: #333333;
 52 |   text-decoration: none;
 53 |   background-color: #e6e6e6;
 54 |   background-position: 0 -15px;
 55 |   -webkit-transition: background-position 0.1s linear;
 56 |   -moz-transition: background-position 0.1s linear;
 57 |   -ms-transition: background-position 0.1s linear;
 58 |   -o-transition: background-position 0.1s linear;
 59 |   transition: background-position 0.1s linear;
 60 | }
 61 | 
 62 | .btn-primary, .btn-primary:hover {
 63 |   text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
 64 |   color: #ffffff;
 65 | }
 66 | 
 67 | .btn-primary.active {
 68 |   color: rgba(255, 255, 255, 0.75);
 69 | }
 70 | 
 71 | .btn-primary {
 72 |   background-color: #4a77d4;
 73 |   background-image: -moz-linear-gradient(top, #6eb6de, #4a77d4);
 74 |   background-image: -ms-linear-gradient(top, #6eb6de, #4a77d4);
 75 |   background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#6eb6de), to(#4a77d4));
 76 |   background-image: -webkit-linear-gradient(top, #6eb6de, #4a77d4);
 77 |   background-image: -o-linear-gradient(top, #6eb6de, #4a77d4);
 78 |   background-image: linear-gradient(top, #6eb6de, #4a77d4);
 79 |   background-repeat: repeat-x;
 80 |   filter: progid:dximagetransform.microsoft.gradient(startColorstr=#6eb6de, endColorstr=#4a77d4, GradientType=0);
 81 |   border: 1px solid #3762bc;
 82 |   text-shadow: 1px 1px 1px rgba(0, 0, 0, 0.4);
 83 |   box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.5);
 84 | }
 85 | 
 86 | .btn-primary:hover, .btn-primary:active, .btn-primary.active, .btn-primary.disabled, .btn-primary[disabled] {
 87 |   filter: none;
 88 |   background-color: #4a77d4;
 89 | }
 90 | 
 91 | .btn-block {
 92 |   width: 100%;
 93 |   display: block;
 94 | }
 95 | 
 96 | * {
 97 |   -webkit-box-sizing: border-box;
 98 |   -moz-box-sizing: border-box;
 99 |   -ms-box-sizing: border-box;
100 |   -o-box-sizing: border-box;
101 |   box-sizing: border-box;
102 | }
103 | 
104 | html {
105 |   width: 100%;
106 |   height: 100%;
107 |   overflow: hidden;
108 | }
109 | 
110 | body {
111 |   width: 100%;
112 |   height: 100%;
113 |   font-family: 'Open Sans', sans-serif;
114 |   background: #092756;
115 |   color: #fff;
116 |   font-size: 18px;
117 |   text-align: center;
118 |   letter-spacing: 1.2px;
119 |   background: -moz-radial-gradient(0% 100%, ellipse cover, rgba(104, 128, 138, .4) 10%, rgba(138, 114, 76, 0) 40%), -moz-linear-gradient(top, rgba(57, 173, 219, .25) 0%, rgba(42, 60, 87, .4) 100%), -moz-linear-gradient(-45deg, #670d10 0%, #092756 100%);
120 |   background: -webkit-radial-gradient(0% 100%, ellipse cover, rgba(104, 128, 138, .4) 10%, rgba(138, 114, 76, 0) 40%), -webkit-linear-gradient(top, rgba(57, 173, 219, .25) 0%, rgba(42, 60, 87, .4) 100%), -webkit-linear-gradient(-45deg, #670d10 0%, #092756 100%);
121 |   background: -o-radial-gradient(0% 100%, ellipse cover, rgba(104, 128, 138, .4) 10%, rgba(138, 114, 76, 0) 40%), -o-linear-gradient(top, rgba(57, 173, 219, .25) 0%, rgba(42, 60, 87, .4) 100%), -o-linear-gradient(-45deg, #670d10 0%, #092756 100%);
122 |   background: -ms-radial-gradient(0% 100%, ellipse cover, rgba(104, 128, 138, .4) 10%, rgba(138, 114, 76, 0) 40%), -ms-linear-gradient(top, rgba(57, 173, 219, .25) 0%, rgba(42, 60, 87, .4) 100%), -ms-linear-gradient(-45deg, #670d10 0%, #092756 100%);
123 |   background: -webkit-radial-gradient(0% 100%, ellipse cover, rgba(104, 128, 138, .4) 10%, rgba(138, 114, 76, 0) 40%), linear-gradient(to bottom, rgba(57, 173, 219, .25) 0%, rgba(42, 60, 87, .4) 100%), linear-gradient(135deg, #670d10 0%, #092756 100%);
124 |   filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#3E1D6D', endColorstr='#092756', GradientType=1);
125 | }
126 | 
127 | .login {
128 |   position: absolute;
129 |   top: 40%;
130 |   left: 50%;
131 |   margin: -150px 0 0 -150px;
132 |   width: 400px;
133 |   height: 400px;
134 | }
135 | 
136 | .login h1 {
137 |   color: #fff;
138 |   text-shadow: 0 0 10px rgba(0, 0, 0, 0.3);
139 |   letter-spacing: 1px;
140 |   text-align: center;
141 | }
142 | 
143 | input {
144 |   width: 100%;
145 |   margin-bottom: 10px;
146 |   background: rgba(0, 0, 0, 0.3);
147 |   border: none;
148 |   outline: none;
149 |   padding: 10px;
150 |   font-size: 13px;
151 |   color: #fff;
152 |   text-shadow: 1px 1px 1px rgba(0, 0, 0, 0.3);
153 |   border: 1px solid rgba(0, 0, 0, 0.3);
154 |   border-radius: 4px;
155 |   box-shadow: inset 0 -5px 45px rgba(100, 100, 100, 0.2), 0 1px 1px rgba(255, 255, 255, 0.2);
156 |   -webkit-transition: box-shadow .5s ease;
157 |   -moz-transition: box-shadow .5s ease;
158 |   -o-transition: box-shadow .5s ease;
159 |   -ms-transition: box-shadow .5s ease;
160 |   transition: box-shadow .5s ease;
161 | }
162 | 
163 | input:focus {
164 |   box-shadow: inset 0 -5px 45px rgba(100, 100, 100, 0.4), 0 1px 1px rgba(255, 255, 255, 0.2);
165 | }
166 | 


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
  1 |                     GNU GENERAL PUBLIC LICENSE
  2 |                        Version 3, 29 June 2007
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527 | to the third party based on the extent of your activity of conveying
528 | the work, and under which the third party grants, to any of the
529 | parties who would receive the covered work from you, a discriminatory
530 | patent license (a) in connection with copies of the covered work
531 | conveyed by you (or copies made from those copies), or (b) primarily
532 | for and in connection with specific products or compilations that
533 | contain the covered work, unless you entered into that arrangement,
534 | or that patent license was granted, prior to 28 March 2007.
535 | 
536 |   Nothing in this License shall be construed as excluding or limiting
537 | any implied license or other defenses to infringement that may
538 | otherwise be available to you under applicable patent law.
539 | 
540 |   12. No Surrender of Others' Freedom.
541 | 
542 |   If conditions are imposed on you (whether by court order, agreement or
543 | otherwise) that contradict the conditions of this License, they do not
544 | excuse you from the conditions of this License.  If you cannot convey a
545 | covered work so as to satisfy simultaneously your obligations under this
546 | License and any other pertinent obligations, then as a consequence you may
547 | not convey it at all.  For example, if you agree to terms that obligate you
548 | to collect a royalty for further conveying from those to whom you convey
549 | the Program, the only way you could satisfy both those terms and this
550 | License would be to refrain entirely from conveying the Program.
551 | 
552 |   13. Use with the GNU Affero General Public License.
553 | 
554 |   Notwithstanding any other provision of this License, you have
555 | permission to link or combine any covered work with a work licensed
556 | under version 3 of the GNU Affero General Public License into a single
557 | combined work, and to convey the resulting work.  The terms of this
558 | License will continue to apply to the part which is the covered work,
559 | but the special requirements of the GNU Affero General Public License,
560 | section 13, concerning interaction through a network will apply to the
561 | combination as such.
562 | 
563 |   14. Revised Versions of this License.
564 | 
565 |   The Free Software Foundation may publish revised and/or new versions of
566 | the GNU General Public License from time to time.  Such new versions will
567 | be similar in spirit to the present version, but may differ in detail to
568 | address new problems or concerns.
569 | 
570 |   Each version is given a distinguishing version number.  If the
571 | Program specifies that a certain numbered version of the GNU General
572 | Public License "or any later version" applies to it, you have the
573 | option of following the terms and conditions either of that numbered
574 | version or of any later version published by the Free Software
575 | Foundation.  If the Program does not specify a version number of the
576 | GNU General Public License, you may choose any version ever published
577 | by the Free Software Foundation.
578 | 
579 |   If the Program specifies that a proxy can decide which future
580 | versions of the GNU General Public License can be used, that proxy's
581 | public statement of acceptance of a version permanently authorizes you
582 | to choose that version for the Program.
583 | 
584 |   Later license versions may give you additional or different
585 | permissions.  However, no additional obligations are imposed on any
586 | author or copyright holder as a result of your choosing to follow a
587 | later version.
588 | 
589 |   15. Disclaimer of Warranty.
590 | 
591 |   THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
592 | APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
596 | PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
597 | IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
599 | 
600 |   16. Limitation of Liability.
601 | 
602 |   IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
610 | SUCH DAMAGES.
611 | 
612 |   17. Interpretation of Sections 15 and 16.
613 | 
614 |   If the disclaimer of warranty and limitation of liability provided
615 | above cannot be given local legal effect according to their terms,
616 | reviewing courts shall apply local law that most closely approximates
617 | an absolute waiver of all civil liability in connection with the
618 | Program, unless a warranty or assumption of liability accompanies a
619 | copy of the Program in return for a fee.
620 | 
621 |                      END OF TERMS AND CONDITIONS
622 | 
623 |             How to Apply These Terms to Your New Programs
624 | 
625 |   If you develop a new program, and you want it to be of the greatest
626 | possible use to the public, the best way to achieve this is to make it
627 | free software which everyone can redistribute and change under these terms.
628 | 
629 |   To do so, attach the following notices to the program.  It is safest
630 | to attach them to the start of each source file to most effectively
631 | state the exclusion of warranty; and each file should have at least
632 | the "copyright" line and a pointer to where the full notice is found.
633 | 
634 |     <one line to give the program's name and a brief idea of what it does.>
635 |     Copyright (C) <year>  <name of author>
636 | 
637 |     This program is free software: you can redistribute it and/or modify
638 |     it under the terms of the GNU General Public License as published by
639 |     the Free Software Foundation, either version 3 of the License, or
640 |     (at your option) any later version.
641 | 
642 |     This program is distributed in the hope that it will be useful,
643 |     but WITHOUT ANY WARRANTY; without even the implied warranty of
644 |     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
645 |     GNU General Public License for more details.
646 | 
647 |     You should have received a copy of the GNU General Public License
648 |     along with this program.  If not, see <https://www.gnu.org/licenses/>.
649 | 
650 | Also add information on how to contact you by electronic and paper mail.
651 | 
652 |   If the program does terminal interaction, make it output a short
653 | notice like this when it starts in an interactive mode:
654 | 
655 |     <program>  Copyright (C) <year>  <name of author>
656 |     This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
657 |     This is free software, and you are welcome to redistribute it
658 |     under certain conditions; type `show c' for details.
659 | 
660 | The hypothetical commands `show w' and `show c' should show the appropriate
661 | parts of the General Public License.  Of course, your program's commands
662 | might be different; for a GUI interface, you would use an "about box".
663 | 
664 |   You should also get your employer (if you work as a programmer) or school,
665 | if any, to sign a "copyright disclaimer" for the program, if necessary.
666 | For more information on this, and how to apply and follow the GNU GPL, see
667 | <https://www.gnu.org/licenses/>.
668 | 
669 |   The GNU General Public License does not permit incorporating your program
670 | into proprietary programs.  If your program is a subroutine library, you
671 | may consider it more useful to permit linking proprietary applications with
672 | the library.  If this is what you want to do, use the GNU Lesser General
673 | Public License instead of this License.  But first, please read
674 | <https://www.gnu.org/licenses/why-not-lgpl.html>.
675 | 


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