Added base app structure (face detector->not working)
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# photo_mem
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Outil web de sauvegarde des noms des personnes sur les photos et d'identification automatique des visages.
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Outil web de sauvegarde des noms des personnes sur les photos et d'identification automatique des visages.
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## Détection de visage
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La détection de visage utilise la librairie OpenCV.js avec [*"Haar Feature-based Cascade Classifier"*](https://docs.opencv.org/3.4/d2/d99/tutorial_js_face_detection.html).
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16
index.html
16
index.html
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@ -12,7 +12,7 @@ License: GNU AGPL v3
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>photo_mem v1.0.0</title>
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<!--v1.0.0 is not actual, it is set in script.js-->
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<link rel="stylesheet" href="style.css">
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<link rel="stylesheet" href="styles/style.css">
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</head>
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<body>
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@ -20,10 +20,12 @@ License: GNU AGPL v3
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<h1>photo_mem v<span class="version">1.0.0</span></h1>
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</header>
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<main>
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<input id="file" multiple type="file" class=cotecote onChange="lecfic(this.files);" />
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<input id="file" type="button" class=cotecote value="Enregistrer xml" onclick="enregistrer_fichier(enreg_xml)" />
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<input id="file" type="button" class=cotecote value="Enregistrer image " onclick="image_finale()" />
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<div class="actions">
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<input id="file" multiple type="file" class=cotecote onChange="lecfic(this.files);" />
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<input id="file" type="button" class=cotecote value="Enregistrer xml" onclick="enregistrer_fichier(enreg_xml)" />
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<input id="file" type="button" class=cotecote value="Enregistrer image " onclick="image_finale()" />
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<input type="button" id="detect" value="detect">
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</div>
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<div style="position: relative; ">
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<img src="" id="ima_fond" style="position: absolute; left: 0; top: 0; z-index: 0;">
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</div>
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@ -59,7 +61,9 @@ License: GNU AGPL v3
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🄯 Liness <em>et al.</em>
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</div>
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</footer>
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<script src="script.js"></script>
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<script src="https://docs.opencv.org/4.5.2/opencv.js"></script>
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<script src="scripts/script.js"></script>
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<script src="scripts/detector.js"></script>
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</body>
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</html>
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Before Width: | Height: | Size: 898 KiB After Width: | Height: | Size: 898 KiB |
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@ -0,0 +1,35 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<photo>
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<titre titx="350px" tity="55px">Coupe du monde 1998 </titre>
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<date/>
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<lieu/>
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<auteur/>
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<commentaire/>
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<personne>
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<nom>Zizou</nom>
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<nom_jeune_fille>
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</nom_jeune_fille>
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<prenom>
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</prenom>
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<surnom>
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</surnom>
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<annee_naiss>
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</annee_naiss>
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<note>
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</note>
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<position posx="104" posy="132" etx="74px" ety="192px"/>
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</personne>
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<personne>
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<nom>Deschamps </nom>
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<nom_jeune_fille>
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</nom_jeune_fille>
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<prenom>Didier</prenom>
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<surnom>
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</surnom>
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<annee_naiss>
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</annee_naiss>
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<note>
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</note>
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<position posx="399" posy="323" etx="369px" ety="383px"/>
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</personne>
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</photo>
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Load Diff
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Load Diff
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let img = document.getElementById('ima_fond');
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let mat;
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img.onload = function() {
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mat = cv.imread(img);
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document.getElementById('detect').addEventListener('click', function() {
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console.log(mat);
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let gray = new cv.Mat();
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cv.cvtColor(mat, gray, cv.COLOR_RGBA2GRAY, 0);
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let faces = new cv.RectVector();
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let profiles = new cv.RectVector();
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let faceCascade = new cv.CascadeClassifier();
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let profileCascade = new cv.CascadeClassifier();
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// Load pretrained classifier
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faceCascade.load("../models/haarcascade_frontalcatface.xml");
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profileCascade.load("../models/haarcascade_profileface.xml");
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// Detect faes
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let msize = new cv.Size(0, 0);
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faceCascade.detectMultiScale(gray, faces, 1.05, 0);
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profileCascade.detectMultiScale(gray, profiles, 1.1, 3, 0, msize, msize);
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// Show detected faces
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faces = faces.concat(profiles);
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for (let i = 0; i < faces.length; i++) {
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let point1 = new cv.Point(faces.get(i).x, faces.get(i).y);
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let point2 = new cv.Point(faces.get(i).x + faces.get(i).width,
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faces.get(i).y + faces.get(i).height);
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cv.rectangle(mat, point1, point2, [255, 0, 0, 255]);
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}
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});
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}
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