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index.html
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index.html
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<!DOCTYPE html>
<html>
<head>
<title>#hackthehub</title>
<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
<link rel="stylesheet" href="https://assets.ubuntu.com/v1/vanilla-framework-version-1.6.7.min.css" />
<style>
h1 {
font-size: 8rem;
margin-bottom: 0;
border-bottom: 1px solid #ccc;
}
h4 {
text-transform: capitalize;
}
textarea {
min-height: 300px;
}
#imageDiv img {
width: 100%;
}
#imgConfidence {
display: block;
margin-bottom: 1rem;
}
.rating {
font-size: 3rem;
text-align: center;
unicode-bidi: bidi-override;
direction: rtl;
}
.rating>span {
display: inline-block;
position: relative;
width: 1.1em;
}
.rating>span.selected:before,
.rating>span.selected ~ span:before {
content: "\2605";
position: absolute;
}
</style>
</head>
<body>
<script type="text/javascript">
function processImage() {
// Replace the subscriptionKey string value with your valid subscription key.
var subscriptionKey = "7f57349ebfcf40e69e1ea117820dd5f9";
var uriBase =
"https://northeurope.api.cognitive.microsoft.com/vision/v1.0/analyze";
// Request parameters.
var params = {
visualFeatures: "Categories,Description,Color,Faces,Adult",
details: "Celebrities,Landmarks",
language: "en"
};
// Display the image.
var sourceImageUrl = document.getElementById("inputImage").value;
document.querySelector("#sourceImage").src = sourceImageUrl;
// Perform the REST API call.
$.ajax({
url: uriBase + "?" + $.param(params),
// Request headers.
beforeSend: function(xhrObj) {
xhrObj.setRequestHeader("Content-Type", "application/json");
xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key", subscriptionKey);
},
type: "POST",
// Request body.
data: '{"url": ' + '"' + sourceImageUrl + '"}'
})
.done(function(data) {
// clear data
document.querySelector("#imgConfidence").innerHTML = "";
document.querySelector("#face").innerHTML = "No";
document.querySelector("#face-age").innerHTML = "n/a";
document.querySelector("#face-gender").innerHTML = "n/a";
document.querySelector("#celebrity").innerHTML = "No";
document.querySelector("#adult").innerHTML = "No";
// Show formatted JSON on webpage.
const dataObj = JSON.stringify(data, null, 2);
$("#responseTextArea").val(dataObj);
// Update title
document.querySelector("#imageDesc").innerHTML =
data.description.captions[0].text;
// Add confidence score
confidenceFloat = data.description.captions[0].confidence;
if (confidenceFloat) {
const confidenceScore = confidenceFloat * 100;
document.querySelector("#imgConfidence").innerHTML =
"(" + parseInt(confidenceScore) + "% confidence)";
// Set star rating
const confidenceRating = Math.round(confidenceScore / 20);
$(".one").removeClass("selected");
$(".two").removeClass("selected");
$(".three").removeClass("selected");
$(".four").removeClass("selected");
$(".five").removeClass("selected");
switch (confidenceRating) {
case 0:
console.log("Rating is 1");
$(".one").addClass("selected");
break;
case 1:
console.log("Rating is 1");
$(".one").addClass("selected");
break;
case 2:
console.log("Rating is 2");
$(".two").addClass("selected");
break;
case 3:
console.log("Rating is 3");
$(".three").addClass("selected");
break;
case 4:
console.log("Rating is 4");
$(".four").addClass("selected");
break;
case 5:
console.log("Rating is 5");
$(".five").addClass("selected");
break;
default:
console.log("Sorry, no star rating available");
}
}
// Add face bool
const isFacePresent = data.faces[0];
if (isFacePresent) {
document.querySelector("#face").innerHTML = "Yes";
document.querySelector("#face-age").innerHTML = data.faces[0].age;
document.querySelector("#face-gender").innerHTML = data.faces[0].gender;
if (data.categories[0] && data.categories[0].detail.celebrities[0]) {
document.querySelector("#celebrity").innerHTML = "Yes";
}
}
isAdult = data.adult.isAdultContent;
if (isAdult) {
document.querySelector("#adult").innerHTML = "Yes";
}
})
.fail(function(jqXHR, textStatus, errorThrown) {
// Display error message.
var errorString =
errorThrown === ""
? "Error. "
: errorThrown + " (" + jqXHR.status + "): ";
errorString +=
jqXHR.responseText === ""
? ""
: jQuery.parseJSON(jqXHR.responseText).message;
alert(errorString);
});
// Run machine learning
// execute([{ s: 0.92, b: 0.96, c: 0.93 }]);
}
</script>
<div class="p-strip u-no-padding--top">
<div class="row">
<div class="col-12 u-align--center" style="margin-top:-1rem">
<h1><img src="https://www.hackthehub2018.com/wp-content/uploads/2018/01/hackthehublogo.png" alt="Hack the hub logo"/> + <img src="https://assets.ubuntu.com/v1/9a081ec9-bazaarvoice.svg" alt="Bazaar voice"></h1>
</div>
</div>
<div class="row p-divider">
<div class="col-6 p-divider__block">
<p>
<input required type="text" name="inputImage" id="inputImage" placeholder="Add image URL" value="" />
</p>
<p class="u-align--right">
<button class="p-button--positive" onclick="processImage()">Analyze image</button>
</p>
<hr />
<div id="jsonOutput">
<textarea id="responseTextArea" class="UIInput" height="500"></textarea>
</div>
<table>
<tbody>
<tr>
<th scope="row">Recognised brands</th>
<td>None</td>
</tr>
<tr>
<th scope="row">Emotion displayed</th>
<td>Undetermined</td>
</tr>
</tbody>
</table>
</div>
<div class="col-6 p-divider__block">
<div>
<h4 id="imageDesc"></h4>
<span id="imgConfidence"></span>
</div>
<div id="imageDiv" class="u-no-margin--top">
<img id="sourceImage" width="400" src="http://via.placeholder.com/350x150?text=hackthehub" />
</div>
<div class="rating u-no-margin--top">
<span class="five">☆</span><span class="four">☆</span><span class="three">☆</span><span class="two">☆</span><span class="one">☆</span>
</div>
<table>
<tbody>
<tr>
<th scope="row">Face</th>
<td id="face">No</td>
</tr>
<tr>
<th scope="row">Face age</th>
<td id="face-age">n/a</td>
</tr>
<tr>
<th scope="row">Face gender</th>
<td id="face-gender">n/a</td>
</tr>
<tr>
<th scope="row">Celebrity</th>
<td id="celebrity">n/a</td>
</tr>
<tr>
<th scope="row">Adult Content</th>
<td id="adult">n/a</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
<script src="./js/training-data.js"></script>
<script src="./js/brain.js"></script>
<script src="./js/scripts.js"></script>
</body>
</html>