index.html
8.48 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" href="style.css">
<meta charset="utf-8">
<meta name="keywords" content="엘사, 안나, 크리스토프, 한스, 울라프, 스벤, 브루니">
<link href="https://fonts.googleapis.com/css2?family=Jua&display=swap" rel="stylesheet">
</head>
<body>
<script class="jsbin" src="https://ajax.googleapis.com/ajax/libs/jquery/1/jquery.min.js"></script>
<h1 contenteditable data-heading="Frozen">
Frozen
</h1>
<div class="file-upload">
<div class="image-upload-wrap">
<input class="file-upload-input" type='file' onchange="readURL(this);" accept="image/*" />
<div class="drag-text">
<h3>얼굴 사진을 업로드 하세요</h3>
</div>
</div>
<div class="file-upload-content">
<img class="file-upload-image" id="face-image" src="#" alt="your image" />
<div id="loading" class="animated bounce">
<div class="spinner-border" role="status">
<span class="sr-only">Loading...</span>
</div>
<p class="text-center">AI가 당신과 닮은 캐릭터를 분석중입니다.</p>
</div>
<p class="result-message"></p>
<div id="label-container" class="d-flex flex-column justify-content-around"></div>
<div id="addThis" class="addthis_inline_share_toolbox_6lz1"></div>
<div class="pt-3 image-title-wrap">
<button type="button" onclick="removeUpload()" class="remove-image">Remove
<span class="image-title">Uploaded Image</span>
</button>
</div>
</div>
</div>
<div id="webcam-container"></div>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.3.1/dist/tf.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@teachablemachine/image@0.8/dist/teachablemachine-image.min.js"></script>
<footer class="footer pt-5 container d-flex justify-content-center">
</footer>
<svg class="svg-snowscene" xmlns="http://www.w3.org/2000/svg">
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
<circle class="snow" />
</svg>
<script>
function readURL(input) {
if (input.files && input.files[0]) {
var reader = new FileReader();
reader.onload = function(e) {
$('.image-upload-wrap').hide();
$('.file-upload-image').attr('src', e.target.result);
$('.file-upload-content').show();
$('.image-title').html(input.files[0].name);
};
reader.readAsDataURL(input.files[0]);
init().then(function() {
predict();
$('#loading').hide();
});
} else {
removeUpload();
}
}
function removeUpload() {
$('.file-upload-input').replaceWith($('.file-upload-input').clone());
$('.file-upload-content').hide();
$('.image-upload-wrap').show();
}
$('.image-upload-wrap').bind('dragover', function() {
$('.image-upload-wrap').addClass('image-dropping');
});
$('.image-upload-wrap').bind('dragleave', function() {
$('.image-upload-wrap').removeClass('image-dropping');
});
</script>
<script type="text/javascript">
// More API functions here:
// https://github.com/googlecreativelab/teachablemachine-community/tree/master/libraries/image
// the link to your model provided by Teachable Machine export panel
const URL = "https://teachablemachine.withgoogle.com/models/wXBDodJuF/";
let model, webcam, labelContainer, maxPredictions;
// Load the image model and setup the webcam
async function init() {
const modelURL = URL + "model.json";
const metadataURL = URL + "metadata.json";
model = await tmImage.load(modelURL, metadataURL);
maxPredictions = model.getTotalClasses();
labelContainer = document.getElementById("label-container");
for (let i = 0; i < maxPredictions; i++) {
var element = document.createElement("div")
element.classList.add("d-flex");
labelContainer.appendChild(element);
}
}
// run the webcam image through the image model
async function predict() {
var image = document.getElementById("face-image")
const prediction = await model.predict(image, false);
prediction.sort((a, b) => parseFloat(b.probability) - parseFloat(a.probability));
var resultMessage, resultExplain;
switch (prediction[0].className) {
case "엘사":
resultMessage = "엘사"
resultExplain = "당신은 얼음공주 엘사!"
break;
case "안나":
resultMessage = "안나"
resultExplain = "당신은 밝고 명랑한 안나!"
break;
case "크리스토프":
resultMessage = "크리스토프"
resultExplain = "당신은 코가 큰 크리스토프!"
break;
case "한스":
resultMessage = "한스"
resultExplain = "당신은 잘생겼지만 찌질한 한스!"
break;
case "울라프":
resultMessage = "울라프"
resultExplain = "당신은 최강 귀요미 울라프!"
break;
case "스벤":
resultMessage = "스벤"
resultExplain = "당신은 순록?!"
break;
case "브루니":
resultMessage = "브루니"
resultExplain = "당신은 귀엽고 미간이 넓은 브루니!"
break;
default:
resultMessage = "알수없음"
resultExplain = ""
}
var title = "<div class='" + prediction[0].className + "-frozen-title'>" + resultMessage + "</div>"
var explain = "<div class='frozen-explain pt-2'>" + resultExplain + "</div>"
$('.result-message').html(title + explain);
var barWidth;
for (let i = 0; i < maxPredictions; i++) {
if (prediction[i].probability.toFixed(2) > 0.1) {
barWidth = Math.round(prediction[i].probability.toFixed(2) * 100) + "%";
} else if (prediction[i].probability.toFixed(2) >= 0.01) {
barWidth = "4%"
} else {
barWidth = "2%"
}
var labelTitle;
switch (prediction[i].className) {
case "엘사":
labelTitle = "엘사"
break;
case "안나":
labelTitle = "안나"
break;
case "크리스토프":
labelTitle = "크리스토프"
break;
case "한스":
labelTitle = "한스"
break;
case "울라프":
labelTitle = "울라프"
break;
case "스벤":
labelTitle = "스벤"
break;
case "브루니":
labelTitle = "브루니"
break;
default:
labelTitle = "알수없음"
}
var label = "<div class='frozen-label d-flex align-items-center'>" + labelTitle + "</div>"
var bar = "<div class='bar-container position-relative container'><div class='" + prediction[i].className + "-box'></div><div class='d-flex justify-content-center align-items-center " + prediction[i].className + "-bar' style='width: " + barWidth + "'><span class='d-block percent-text'>" + Math.round(prediction[i].probability.toFixed(2) * 100) + "%</span></div></div>"
labelContainer.childNodes[i].innerHTML = label + bar;
console.log(prediction);
}
}
</script>
<script>
function getRandom(min, max) {
return Math.random() * (max - min) + min;
}
(function letItSnow() {
var snowflakes = document.querySelectorAll('.snow');
for (var i = 0; i < snowflakes.length; i++) {
var snowflake = snowflakes[i];
snowflake.setAttribute('cx', getRandom(1, 100) + '%');
snowflake.setAttribute('cy', '-' + getRandom(1, 100));
snowflake.setAttribute('r', getRandom(1, 3));
}
})();
</script>
</body>
</html>