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explore.html
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<!DOCTYPE html>
<html lang="en" xmlns="http://www.w3.org/1999/xhtml">
<!--
CODEPROJECT.AI SERVER MODULE EXPLORER
This page provides the means to test this module using the same infrastructure as
the CodeProject.AI Server explorer. This page also provides the UI elements that
the explorer will parse and use to build up the UI of the main explorer itself.
RULES AND CONVENTIONS
1. This page should provide sufficient functionality to test and explore this
module.
2. This page should use the functionality in the explorer.js file so that when
the elements of this page are inserted into the main explorer, it all works
seamlessly. Specifically, you will probably use
- clearImagePreview: Clears the image preview area.
- previewImage: Displays an image in the shared image preview area and takes a
input[type=file] as parameter.
- submitRequest: Sends a request to the AI server.
- setResultsHtml: Sets the HTML in the shared 'results' element. Parameter is the HTML
to display.
- getProcessingMetadataHtml: Gets HTML representing the common data returned from a call to a
module.
- displayBaseResults: Displays the common data returned from a call to a module.
- showPredictionSummary: Displays in the shared HTML results pane the list of predictions
returned from an inference operation.
- clearImageResult: Clears the image result area
- showResultsImageData: Displays an image in the shared image results area using the data
returned from a call to a module, and overlays bounding boxes if
present in the data
- showResultsBoundingBoxes: Displays bounding boxes on the shared image results area based on
the boxes returned in the predictions parameter. The first param is
an array of predictions returned from a computer vision operation.
3. There are 3 parts of this page that will be pulled into the main explorer
during runtime: The HTML, the script, and the CSS. These sections are bounded by
- HTML: START EXPLORER MARKUP / END EXPLORER MARKUP pair, each within HTML comment brackets
- Script: START EXPLORER SCRIPT / END EXPLORER SCRIPT pair, each as a // comment on its own line
- CSS: START EXPLORER STYLE / END EXPLORER STYLE pair, each inside /* ... */ comments
These delimiters should be on a line by themselves
4. **Please provide output elements to display the results of operations** if
you wish to use the standard HTML / Image results elements in the main explorer
- For HTML output, include a DIV with id 'results'
- For Image preview, include an IMG element with id imgPreview
- For image results, include an IMG with element imgPreview and a DIV with
id 'imageMask'.
- You can use a single image for both preview and results if you wish by only
including a imgPreview image. Make sure you have the imageMask DIV though.
- For Sound preview, include an AUDIO element with id 'snd' that contains a
SOURCE tag
5. When this file is parsed and injected into the larger explorer, the HTML is
injected first, then the script, then the CSS.
6. **To ensure uniqueness of elements** you can include the _MID_ macro in any
name. This will be expanded to be [ModuleId]_ where [ModuleId] is the literal
ID of this module. For instance <div id="_MID_TextBox"> becomes <div id="MyModuleId_TextBox">
-->
<head>
<meta charset="utf-8" />
<title>Face Processing Module Test</title>
<link id="bootstrapCss" rel="stylesheet" type="text/css" href="http://localhost:32168/assets/bootstrap-dark.min.css">
<link rel="stylesheet" type="text/css" href="http://localhost:32168/assets/server.css?v=2.5.0.0">
<script type="text/javascript" src="http://localhost:32168/assets/server.js"></script>
<script type="text/javascript" src="http://localhost:32168/assets/explorer.js"></script>
<style>
/* START EXPLORER STYLE */
/* END EXPLORER STYLE */
</style>
</head>
<body class="dark-mode">
<div class="mx-auto" style="max-width: 800px;">
<h2 class="mb-3">Face Processing Module Test</h2>
<form method="post" action="" enctype="multipart/form-data" id="myform">
<!-- START EXPLORER MARKUP -->
<h4>Face Detection</h4>
<div class="form-group row">
<label class="col-form-label col-2">Image</label>
<input class="col form-control btn-light" id="_MID_face_image" type="file" style="width:17rem"
onchange="return previewImage(this)" />
<input class="form-control btn-success" type="button" value="Detect Faces"
style="width:11rem" id="_MID_face"
onclick="_MID_onDetectFaces(_MID_face_image)" />
</div>
<h4 class="mt-5">Face Comparison</h4>
<div class="d-flex align-items-center">
<div class="w-75">
<div class="form-group row">
<label class="col-form-label col-3">Image 1</label>
<input class="col form-control btn-light" id="_MID_face1" type="file" onchange="return previewImage(this)" />
</div>
<div class="form-group row">
<label class="col-form-label col-3">Image 2</label>
<input class="col form-control btn-light" id="_MID_face2" type="file" onchange="return previewImage(this)" />
</div>
</div>
<div style="width:10rem" class="text-end">
<input type="button" value="Compare" class="btn btn-success" onclick="_MID_onCompareFaces(_MID_face1, _MID_face2)" />
</div>
</div>
<h4 class="mt-5">Face Registration</h4>
<div class="form-group row">
<label class="col-form-label col-4">1. Person's name</label>
<input class="form-control" style="width:12rem" id="_MID_userId" type="text"
placeholder="Enter name" />
</div>
<div class="form-group row my-3">
<label class="col-form-label col-4">2. Select images</label>
<input class="btn-light col form-control" style="width:8rem" id="_MID_faces" multiple="multiple" type="file" />
</div>
<div class="form-group row">
<label class="col-form-label col-4">3. Final step</label>
<input class="form-control btn-success" style="width:12rem;" id="_MID_register" type="button"
value="Register Faces" onclick="_MID_onRegisterFaces(_MID_userId.value, _MID_faces)" />
</div>
<div class="mt-4 text-center">
<input style="width:12rem" id="_MID_listfaces" type="button" class="btn btn-primary ml-3"
value="List Registered Faces" onclick="_MID_onListRegisteredFaces()" />
<input style="width:12rem;" class="btn btn-danger" id="_MID_deleteFaces" type="button"
value="Delete Person's Images" onclick="_MID_onDeleteFace(_MID_userId.value)" />
</div>
<h4 class="mt-5">Face Recognition</h4>
<div class="form-group row">
<label class="col-form-label col-2">Image</label>
<input class="col form-control btn-light" id="_MID_faceInput" type="file" style="width:17rem"
onchange="return previewImage(this)" />
<input class="form-control btn-success" type="button" value="Recognise" style="width:7rem"
id="_MID_recognise" onclick="_MID_onRecogniseFace(_MID_faceInput, _MID_minRecogConfidence.value)" />
</div>
<div class="form-group row mt-1">
<label class="col-7 col-form-label text-end">Minimum Recognition Confidence</label>
<input class="form-control" value="0.6" id="_MID_minRecogConfidence" type="text"
style="width:5rem" />
</div>
<!-- END EXPLORER MARKUP -->
<div class="w-100 position-relative form-control my-4 p-0">
<div id="imgMask" class="position-absolute"
style="left:0;top:0;pointer-events:none;z-index:10"></div>
<img src="" id="imgPreview" class="w-100" style="height:250px;visibility:hidden">
</div>
<div>
<h2>Results</h2>
<div id="results" name="results" class="bg-light p-3" style="min-height: 100px;"></div>
</div>
</form>
<script type="text/javascript">
// START EXPLORER SCRIPT
async function _MID_onDetectFaces(fileChooser) {
clearImagePreview();
if (fileChooser.files.length == 0) {
alert("No file was selected for face detection");
return;
}
showPreviewImage(fileChooser.files[0]);
let images = [fileChooser.files[0]];
setResultsHtml("Detecting faces...");
let data = await submitRequest('vision', 'face', images, null);
if (data) {
showResultsBoundingBoxes(data.predictions);
showPredictionSummary(data)
};
}
async function _MID_onCompareFaces(face1Ctrl, face2Ctrl) {
clearImagePreview();
if (face1Ctrl.files.length == 0 || face2Ctrl.files.length == 0) {
alert("Please supply two faces for face comparison");
return;
}
showPreviewImage(face1Ctrl.files[0]);
let images = [face1Ctrl.files[0], face2Ctrl.files[0]];
setResultsHtml("Comparing faces...");
let data = await submitRequest('vision', 'face/match', images, null);
if (data) {
_MID_displayMatchResults(data);
};
}
async function _MID_onRegisterFaces(userId, faceCtrl) {
clearImagePreview();
if (faceCtrl.files.length == 0) {
alert("No files were selected for face registration");
return;
}
if (!userId) {
alert("No name supplied");
return;
}
showPreviewImage(faceCtrl.files[0]);
let images = [];
for (let i = 0; i < faceCtrl.files.length; i++)
images.push(faceCtrl.files[i]);
setResultsHtml("Registering face...");
let data = await submitRequest('vision', 'face/register', images, [["userid", userId]]);
if (data)
displayBaseResults(data);
else
setResultsHtml("Unable to register faces");
}
async function _MID_onListRegisteredFaces() {
clearImagePreview();
setResultsHtml("Listing faces...");
let data = await submitRequest('vision', 'face/list', null, null);
if (data) {
_MID_displayRegisteredFaces(data)
};
}
async function _MID_onDeleteFace(userId) {
clearImagePreview();
setResultsHtml("Deleting face info...");
let data = await submitRequest('vision', 'face/delete', null, [["userid", userId]]);
if (data) {
setResultsHtml("Face deleted");
};
}
async function _MID_onRecogniseFace(fileChooser, minimumConfidence) {
clearImagePreview();
if (fileChooser.files.length == 0) {
alert("No file was selected for face recognition");
return;
}
showPreviewImage(fileChooser.files[0]);
let images = [fileChooser.files[0]];
let params = []
let minConfidence = parseFloat(minimumConfidence);
if (!isNaN(minConfidence))
params = [["min_confidence", minConfidence]]
setResultsHtml("Recognizing face...");
let data = await submitRequest('vision', 'face/recognize', images, params);
if (data) {
showResultsBoundingBoxes(data.predictions);
_MID_displayRecognitionResults(data)
};
}
function _MID_displayRecognitionResults(data) {
if (!(data.predictions && data.predictions.length > 0)) {
setResultsHtml("No recognitions returned");
return;
}
// Sort descending
data.predictions.sort(function (a, b) {
return b.confidence - a.confidence;
});
let html = "<table style='width:100%'><tr><th>#</th><th>Name</th><th>Confidence</th></tr>";
for (let i = 0; i < data.predictions.length; i++) {
let recog = data.predictions[i];
html += "<tr><td>" + i + "</td><td>" + (recog.userid || "Face")
+ "</td><td>" + confidence(recog.confidence) + "</td></tr>";
}
html += "</table>";
html += getProcessingMetadataHtml(data);
setResultsHtml(html);
}
function _MID_displayMatchResults(match) {
if (!match) {
setResultsHtml("No matches returned");
return;
}
let html = "Match: " + confidence(match.similarity);
html += getProcessingMetadataHtml(match);
setResultsHtml(html);
}
function _MID_displayRegisteredFaces(data) {
if (!data || data.faces == null || data.faces.length <= 0) {
setResultsHtml("No faces registered");
return;
}
let html = "";
for (let name of data.faces)
html += name + "<br>";
setResultsHtml(html);
}
// END EXPLORER SCRIPT
</script>
</div>
</body>
</html>