Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -903,170 +903,382 @@ async def read_root():
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<link rel="stylesheet" href="https://code.jquery.com/ui/1.12.1/themes/base/jquery-ui.css">
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<link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/all.min.css" rel="stylesheet">
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<style>
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body {
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#loadingSpinner {
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position: fixed;
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top: 50%;
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left: 50%;
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transform: translate(-50%, -50%);
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z-index: 9999;
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}
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</style>
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</head>
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<body>
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<div id="loadingSpinner" style="display: none;">
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</div>
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<div class="container">
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<h1><i class="fas fa-image"></i>
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</div>
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</div>
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<script src="https://code.jquery.com/jquery-3.5.1.min.js"></script>
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<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/js/bootstrap.min.js"></script>
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<script src="https://code.jquery.com/ui/1.12.1/jquery-ui.js"></script>
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<script>
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});
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};
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}
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reader.readAsDataURL(fileInput.files[0]);
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}
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}
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}
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}
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.then(response => {
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if (!response.ok) {
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throw new Error("Network response was not ok");
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}
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document.getElementById('loadingSpinner').style.display = 'none';
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});
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}
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</script>
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</body>
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</html>
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"""
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return HTMLResponse(content=html_content)
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<link rel="stylesheet" href="https://code.jquery.com/ui/1.12.1/themes/base/jquery-ui.css">
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<link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/all.min.css" rel="stylesheet">
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<style>
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body {
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background-color: #f0f0f5;
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color: #333;
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padding: 40px 20px;
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}
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h1 {
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color: #555;
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margin-bottom: 30px;
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font-weight: bold;
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text-align: center;
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}
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.image-preview, .processed-preview {
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max-width: 100%;
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height: auto;
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border-radius: 10px;
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box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
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margin-top: 20px;
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}
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#result {
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margin-top: 40px;
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display: none;
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}
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.slider-container {
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text-align: left;
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margin-top: 20px;
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}
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.slider-label {
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font-size: 1.2rem;
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color: #333;
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}
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.btn-primary {
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background-color: #007bff;
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border-color: #007bff;
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font-size: 1.2rem;
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padding: 10px 20px;
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border-radius: 50px;
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}
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.btn-primary:hover {
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background-color: #0056b3;
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border-color: #004085;
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}
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.form-control, .custom-select {
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border-radius: 20px;
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box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1);
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}
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.nav-tabs {
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margin-bottom: 30px;
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border-bottom: 2px solid #007bff;
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}
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.nav-tabs .nav-link {
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border: none;
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color: #555;
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font-size: 1.1rem;
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padding: 12px 25px;
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border-radius: 10px 10px 0 0;
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}
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.nav-tabs .nav-link.active {
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background-color: #007bff;
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color: white;
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}
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.tab-content {
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padding: 20px;
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background: white;
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border-radius: 0 0 10px 10px;
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box-shadow: 0 2px 10px rgba(0,0,0,0.1);
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}
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#loadingSpinner {
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position: fixed;
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top: 50%;
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left: 50%;
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transform: translate(-50%, -50%);
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background: rgba(255,255,255,0.9);
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padding: 20px;
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border-radius: 10px;
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box-shadow: 0 0 15px rgba(0,0,0,0.2);
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z-index: 9999;
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}
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</style>
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</head>
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<body>
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<div id="loadingSpinner" style="display: none;">
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<i class="fas fa-spinner fa-spin fa-3x"></i>
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<p>画像を処理中です。少々お待ちください...</p>
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</div>
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<div class="container">
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<h1><i class="fas fa-image"></i> 画像処理アプリ</h1>
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<ul class="nav nav-tabs" role="tablist">
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<li class="nav-item">
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<a class="nav-link active" id="general-tab" data-toggle="tab" href="#general" role="tab">
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<i class="fas fa-magic"></i> 一般処理モード
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</a>
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</li>
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<li class="nav-item">
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<a class="nav-link" id="face-tab" data-toggle="tab" href="#face" role="tab">
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<i class="fas fa-user-circle"></i> 顔照合モード
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</a>
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</li>
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</ul>
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<div class="tab-content">
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<!-- 一般処理モード -->
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<div class="tab-pane fade show active" id="general" role="tabpanel">
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<div class="form-group">
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<label for="uploadImage1">画像をアップロード:</label>
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<input type="file" id="uploadImage1" class="form-control-file" accept="image/*" onchange="previewAndResizeImage('uploadImage1', 'uploadedImage1')">
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</div>
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<img id="uploadedImage1" class="image-preview" src="#" alt="アップロードされた画像" style="display: none;">
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<div class="form-group mt-4">
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<label for="processingType">処理方法を選択:</label>
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<select id="processingType" class="custom-select">
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<option value="opencv">OpenCVインペイント</option>
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<option value="simple_lama">Simple Lamaインペイント</option>
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<option value="stamp">stampインペイント</option>
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<option value="mosaic">mosaicインペイント</option>
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</select>
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</div>
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<div class="slider-container">
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<label for="riskLevel1" class="slider-label">リスクレベル (0-100): <span id="riskLevelLabel1">50</span></label>
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<div id="slider1"></div>
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</div>
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<button class="btn btn-primary mt-4" onclick="processGeneralImage()">処理開始</button>
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</div>
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<!-- 顔照合モード -->
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<div class="tab-pane fade" id="face" role="tabpanel">
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<div class="form-group">
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<label for="uploadImage2">処理する画像をアップロード:</label>
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<input type="file" id="uploadImage2" class="form-control-file" accept="image/*" onchange="previewAndResizeImage('uploadImage2', 'uploadedImage2')">
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</div>
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<img id="uploadedImage2" class="image-preview" src="#" alt="アップロードされた画像" style="display: none;">
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<div class="form-group mt-4">
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<label for="faceOption">自分の顔の入力方法を選択:</label>
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<select id="faceOption" class="custom-select" onchange="toggleFaceInput()">
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<option value="upload">ファイルからアップロード</option>
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<option value="camera">カメラで撮影</option>
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</select>
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</div>
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<div class="form-group" id="uploadFaceGroup">
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<label for="uploadFace">顔画像をアップロード:</label>
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<input type="file" id="uploadFace" class="form-control-file" accept="image/*" onchange="previewFaceImage()">
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<img id="facePreview" class="image-preview" src="#" alt="顔画像のプレビュー" style="display: none;">
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</div>
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<div class="form-group" id="cameraFaceGroup" style="display: none;">
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<video id="cameraStream" width="100%" autoplay></video>
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<button class="btn btn-secondary mt-2" onclick="captureFaceImage()">顔をキャプチャ</button>
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<canvas id="cameraCanvas" style="display: none;"></canvas>
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</div>
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<div class="slider-container">
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<label for="riskLevel2" class="slider-label">リスクレベル (0-100): <span id="riskLevelLabel2">50</span></label>
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<div id="slider2"></div>
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</div>
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<button class="btn btn-primary mt-4" onclick="processFaceImage()">処理開始</button>
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</div>
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<!-- 処理結果(共通) -->
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<div id="result" class="mt-5">
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<h2>��理結果:</h2>
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<img id="processedImage" class="processed-preview" src="" alt="">
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<a id="downloadLink" class="btn btn-success mt-3" href="#" download="processed_image.jpg">処理された画像をダウンロード</a>
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</div>
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</div>
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</div>
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<script src="https://code.jquery.com/jquery-3.5.1.min.js"></script>
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<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/js/bootstrap.min.js"></script>
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<script src="https://code.jquery.com/ui/1.12.1/jquery-ui.js"></script>
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<script>
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// スライダーの初期化
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$(function() {
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$("#slider1, #slider2").slider({
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range: "min",
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value: 50,
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min: 0,
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max: 100,
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slide: function(event, ui) {
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const labelId = $(this).attr('id') === 'slider1' ? 'riskLevelLabel1' : 'riskLevelLabel2';
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$("#" + labelId).text(ui.value);
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}
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});
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});
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let resizedImageBlob1 = null;
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let resizedImageBlob2 = null;
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let faceImageBlob = null;
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function previewAndResizeImage(inputId, imageId) {
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const fileInput = document.getElementById(inputId);
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const uploadedImage = document.getElementById(imageId);
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if (fileInput.files && fileInput.files[0]) {
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const reader = new FileReader();
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reader.onload = function(e) {
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const img = new Image();
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img.onload = function() {
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1110 |
+
const maxWidth = 1200;
|
1111 |
+
const maxHeight = 1200;
|
1112 |
+
let width = img.width;
|
1113 |
+
let height = img.height;
|
1114 |
+
|
1115 |
+
if (width > maxWidth || height > maxHeight) {
|
1116 |
+
const ratio = Math.min(maxWidth / width, maxHeight / height);
|
1117 |
+
width *= ratio;
|
1118 |
+
height *= ratio;
|
1119 |
+
}
|
1120 |
+
|
1121 |
+
const canvas = document.createElement('canvas');
|
1122 |
+
canvas.width = width;
|
1123 |
+
canvas.height = height;
|
1124 |
+
const ctx = canvas.getContext('2d');
|
1125 |
+
ctx.drawImage(img, 0, 0, width, height);
|
1126 |
+
|
1127 |
+
uploadedImage.src = canvas.toDataURL('image/jpeg');
|
1128 |
+
uploadedImage.style.display = 'block';
|
1129 |
+
|
1130 |
+
canvas.toBlob((blob) => {
|
1131 |
+
if (inputId === 'uploadImage1') {
|
1132 |
+
resizedImageBlob1 = blob;
|
1133 |
+
} else {
|
1134 |
+
resizedImageBlob2 = blob;
|
1135 |
+
}
|
1136 |
+
}, 'image/jpeg');
|
1137 |
+
};
|
1138 |
+
img.src = e.target.result;
|
1139 |
};
|
1140 |
+
reader.readAsDataURL(fileInput.files[0]);
|
1141 |
+
}
|
|
|
1142 |
}
|
1143 |
+
|
1144 |
+
function previewFaceImage() {
|
1145 |
+
const fileInput = document.getElementById('uploadFace');
|
1146 |
+
if (fileInput.files && fileInput.files[0]) {
|
1147 |
+
const reader = new FileReader();
|
1148 |
+
reader.onload = function(e) {
|
1149 |
+
document.getElementById('facePreview').src = e.target.result;
|
1150 |
+
document.getElementById('facePreview').style.display = 'block';
|
1151 |
+
};
|
1152 |
+
reader.readAsDataURL(fileInput.files[0]);
|
1153 |
+
faceImageBlob = fileInput.files[0];
|
1154 |
+
}
|
1155 |
}
|
1156 |
+
|
1157 |
+
function toggleFaceInput() {
|
1158 |
+
const faceOption = document.getElementById('faceOption').value;
|
1159 |
+
document.getElementById('uploadFaceGroup').style.display = faceOption === 'upload' ? 'block' : 'none';
|
1160 |
+
document.getElementById('cameraFaceGroup').style.display = faceOption === 'camera' ? 'block' : 'none';
|
1161 |
+
if (faceOption === 'camera') {
|
1162 |
+
startCamera();
|
1163 |
+
} else {
|
1164 |
+
stopCamera();
|
1165 |
+
}
|
1166 |
+
}
|
1167 |
+
|
1168 |
+
function startCamera() {
|
1169 |
+
const video = document.getElementById('cameraStream');
|
1170 |
+
navigator.mediaDevices.getUserMedia({ video: true })
|
1171 |
+
.then(stream => video.srcObject = stream)
|
1172 |
+
.catch(error => console.error('カメラの起動に失敗しました:', error));
|
1173 |
+
}
|
1174 |
+
|
1175 |
+
function stopCamera() {
|
1176 |
+
const video = document.getElementById('cameraStream');
|
1177 |
+
const stream = video.srcObject;
|
1178 |
+
if (stream) {
|
1179 |
+
stream.getTracks().forEach(track => track.stop());
|
1180 |
+
video.srcObject = null;
|
1181 |
+
}
|
1182 |
+
}
|
1183 |
+
|
1184 |
+
function captureFaceImage() {
|
1185 |
+
const video = document.getElementById('cameraStream');
|
1186 |
+
const canvas = document.getElementById('cameraCanvas');
|
1187 |
+
const context = canvas.getContext('2d');
|
1188 |
+
canvas.width = video.videoWidth;
|
1189 |
+
canvas.height = video.videoHeight;
|
1190 |
+
context.drawImage(video, 0, 0, canvas.width, canvas.height);
|
1191 |
+
canvas.toBlob(blob => faceImageBlob = blob, 'image/jpeg');
|
1192 |
+
stopCamera();
|
1193 |
+
}
|
1194 |
+
|
1195 |
+
function processGeneralImage() {
|
1196 |
+
if (!resizedImageBlob1) {
|
1197 |
+
alert("画像を選択してください。");
|
1198 |
+
return;
|
1199 |
+
}
|
1200 |
+
|
1201 |
+
const processingType = document.getElementById('processingType').value;
|
1202 |
+
const riskLevel = $("#slider1").slider("value");
|
1203 |
+
showLoadingSpinner();
|
1204 |
+
|
1205 |
+
const formData = new FormData();
|
1206 |
+
formData.append('image', resizedImageBlob1, 'resized_image.jpg');
|
1207 |
+
formData.append('risk_level', riskLevel);
|
1208 |
+
|
1209 |
+
let apiEndpoint;
|
1210 |
+
if (processingType === "opencv") {
|
1211 |
+
apiEndpoint = "/create-mask-and-inpaint-opencv";
|
1212 |
+
} else if (processingType === "simple_lama") {
|
1213 |
+
apiEndpoint = "/create-mask-and-inpaint-simple-lama";
|
1214 |
+
} else if (processingType === "stamp") {
|
1215 |
+
apiEndpoint = "/create-mask-and-inpaint-stamp";
|
1216 |
+
} else if (processingType === "mosaic") {
|
1217 |
+
apiEndpoint = "/create-mask-and-inpaint-mosaic";
|
1218 |
+
}
|
1219 |
+
|
1220 |
+
processImageRequest(formData, "https://rein0421-aidentify.hf.space" + apiEndpoint);
|
1221 |
}
|
1222 |
+
|
1223 |
+
function processFaceImage() {
|
1224 |
+
if (!resizedImageBlob2 || !faceImageBlob) {
|
1225 |
+
alert("処理する画像と顔画像の両方を設定してください。");
|
1226 |
+
return;
|
|
|
|
|
|
|
1227 |
}
|
1228 |
+
|
1229 |
+
const riskLevel = $("#slider2").slider("value");
|
1230 |
+
showLoadingSpinner();
|
1231 |
+
|
1232 |
+
const formData = new FormData();
|
1233 |
+
formData.append('reference_image', faceImageBlob, 'reference_image.jpg');
|
1234 |
+
formData.append('test_image', resizedImageBlob2, 'test_image.jpg');
|
1235 |
+
formData.append('risk_level', riskLevel);
|
1236 |
+
|
1237 |
+
processImageRequest(formData, "https://rein0421-aidentify.hf.space/mosaic_faces");
|
1238 |
+
}
|
1239 |
+
|
1240 |
+
function processImageRequest(formData, url) {
|
1241 |
+
fetch(url, {
|
1242 |
+
method: 'POST',
|
1243 |
+
body: formData
|
1244 |
+
})
|
1245 |
+
.then(response => {
|
1246 |
+
if (!response.ok) throw new Error("Network response was not ok");
|
1247 |
+
return response.blob();
|
1248 |
+
})
|
1249 |
+
.then(blob => {
|
1250 |
+
const objectURL = URL.createObjectURL(blob);
|
1251 |
+
document.getElementById('processedImage').src = objectURL;
|
1252 |
+
document.getElementById('downloadLink').href = objectURL;
|
1253 |
+
document.getElementById('result').style.display = "block";
|
1254 |
+
})
|
1255 |
+
.catch(error => {
|
1256 |
+
console.error("画像処理に失敗しました。", error);
|
1257 |
+
alert("画像処理に失敗しました。");
|
1258 |
+
})
|
1259 |
+
.finally(() => {
|
1260 |
+
hideLoadingSpinner();
|
1261 |
+
});
|
1262 |
+
}
|
1263 |
+
|
1264 |
+
function showLoadingSpinner() {
|
1265 |
+
document.getElementById('loadingSpinner').style.display = 'block';
|
1266 |
+
}
|
1267 |
+
|
1268 |
+
function hideLoadingSpinner() {
|
1269 |
document.getElementById('loadingSpinner').style.display = 'none';
|
1270 |
+
}
|
1271 |
+
|
1272 |
+
// タブ切り替え時の処理
|
1273 |
+
$('.nav-tabs a').on('shown.bs.tab', function (e) {
|
1274 |
+
// 結果表示をリセット
|
1275 |
+
document.getElementById('result').style.display = 'none';
|
1276 |
+
document.getElementById('processedImage').src = '';
|
1277 |
+
document.getElementById('downloadLink').href = '#';
|
1278 |
});
|
|
|
1279 |
</script>
|
1280 |
</body>
|
1281 |
</html>
|
|
|
1282 |
"""
|
1283 |
return HTMLResponse(content=html_content)
|
1284 |
|