change to NAS

This commit is contained in:
Victor Phan
2026-02-15 19:47:58 +07:00
parent 3fe1944b98
commit 3d145f9d54
5 changed files with 1315 additions and 257 deletions
+278 -87
View File
@@ -12,8 +12,9 @@
}
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', sans-serif;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
background-attachment: fixed;
min-height: 100vh;
padding: 20px;
}
@@ -21,45 +22,85 @@
.container {
max-width: 1200px;
margin: 0 auto;
background: white;
border-radius: 15px;
box-shadow: 0 20px 60px rgba(0,0,0,0.3);
background: rgba(255, 255, 255, 0.95);
backdrop-filter: blur(20px);
border-radius: 24px;
box-shadow: 0 25px 80px rgba(0,0,0,0.2), 0 0 0 1px rgba(255,255,255,0.1);
overflow: hidden;
}
.header {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
padding: 30px;
padding: 40px 30px;
text-align: center;
position: relative;
overflow: hidden;
}
.header::before {
content: '';
position: absolute;
top: -50%;
right: -50%;
width: 200%;
height: 200%;
background: radial-gradient(circle, rgba(255,255,255,0.1) 0%, transparent 70%);
animation: headerGlow 8s ease-in-out infinite;
}
@keyframes headerGlow {
0%, 100% { transform: translate(0, 0); }
50% { transform: translate(-20%, -20%); }
}
.header h1 {
font-size: 2.5em;
margin-bottom: 10px;
font-size: 2.8em;
margin-bottom: 12px;
font-weight: 700;
position: relative;
z-index: 1;
text-shadow: 0 2px 20px rgba(0,0,0,0.2);
}
.header p {
font-size: 1.1em;
opacity: 0.9;
font-size: 1.15em;
opacity: 0.95;
position: relative;
z-index: 1;
font-weight: 400;
}
.nav {
background: #f8f9fa;
padding: 15px 30px;
border-bottom: 2px solid #e9ecef;
background: rgba(255,255,255,0.8);
backdrop-filter: blur(10px);
padding: 18px 30px;
border-bottom: 1px solid rgba(0,0,0,0.08);
box-shadow: 0 2px 10px rgba(0,0,0,0.03);
display: flex;
gap: 12px;
flex-wrap: wrap;
justify-content: center;
}
.nav a {
color: #667eea;
padding: 12px 24px;
color: white;
text-decoration: none;
margin-right: 20px;
font-weight: 500;
transition: color 0.3s;
border-radius: 12px;
font-weight: 600;
transition: all 0.3s;
box-shadow: 0 4px 12px rgba(102, 126, 234, 0.2);
}
.nav a:nth-child(1) { background: linear-gradient(135deg, #667eea, #764ba2); }
.nav a:nth-child(2) { background: linear-gradient(135deg, #f093fb, #f5576c); }
.nav a:nth-child(3) { background: linear-gradient(135deg, #4facfe, #00f2fe); }
.nav a:nth-child(4) { background: linear-gradient(135deg, #43e97b, #38f9d7); }
.nav a:hover {
color: #764ba2;
transform: translateY(-2px);
box-shadow: 0 6px 20px rgba(102, 126, 234, 0.3);
}
.content {
@@ -68,44 +109,72 @@
.section {
margin-bottom: 30px;
padding: 28px;
background: linear-gradient(135deg, #f8f9fa 0%, #ffffff 100%);
border-radius: 16px;
border: 1px solid rgba(0,0,0,0.06);
box-shadow: 0 4px 20px rgba(0,0,0,0.04);
transition: all 0.3s ease;
}
.section:hover {
box-shadow: 0 8px 30px rgba(102, 126, 234, 0.12);
transform: translateY(-2px);
}
.section-title {
font-size: 1.5em;
color: #333;
margin-bottom: 15px;
padding-bottom: 10px;
border-bottom: 3px solid #667eea;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
font-size: 1.6em;
font-weight: 700;
margin-bottom: 20px;
display: flex;
align-items: center;
gap: 10px;
}
.card {
background: #f8f9fa;
border-radius: 10px;
padding: 20px;
background: linear-gradient(135deg, #f8f9fa 0%, #ffffff 100%);
border-radius: 12px;
padding: 24px;
margin-bottom: 20px;
border-left: 4px solid #667eea;
border: 1px solid rgba(0,0,0,0.05);
box-shadow: 0 2px 8px rgba(0,0,0,0.04);
}
.form-group {
margin-bottom: 20px;
position: relative;
}
label {
display: block;
font-weight: 600;
margin-bottom: 8px;
color: #333;
color: #374151;
font-size: 0.95em;
letter-spacing: 0.01em;
}
input[type="text"],
input[type="number"],
select {
width: 100%;
padding: 12px;
border: 2px solid #e9ecef;
border-radius: 8px;
padding: 12px 16px;
border: 2px solid #e5e7eb;
border-radius: 12px;
font-size: 1em;
transition: border-color 0.3s;
transition: all 0.3s ease;
background: white;
font-family: inherit;
}
input[type="text"]:hover,
input[type="number"]:hover,
select:hover {
border-color: #d1d5db;
}
input[type="text"]:focus,
@@ -113,54 +182,98 @@
select:focus {
outline: none;
border-color: #667eea;
box-shadow: 0 0 0 4px rgba(102, 126, 234, 0.1);
transform: translateY(-1px);
}
.checkbox-group {
display: flex;
align-items: center;
gap: 10px;
align-items: flex-start;
gap: 12px;
cursor: pointer;
}
input[type="checkbox"] {
width: 20px;
height: 20px;
cursor: pointer;
margin-top: 2px;
}
.btn {
padding: 12px 30px;
padding: 14px 32px;
border: none;
border-radius: 8px;
border-radius: 12px;
font-size: 1em;
font-weight: 600;
cursor: pointer;
transition: all 0.3s;
transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1);
margin-right: 10px;
position: relative;
overflow: hidden;
font-family: inherit;
}
.btn::before {
content: '';
position: absolute;
top: 50%;
left: 50%;
width: 0;
height: 0;
border-radius: 50%;
background: rgba(255,255,255,0.3);
transform: translate(-50%, -50%);
transition: width 0.6s, height 0.6s;
}
.btn:hover::before {
width: 300px;
height: 300px;
}
.btn-primary {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
box-shadow: 0 4px 15px rgba(102, 126, 234, 0.3);
}
.btn-primary:hover {
transform: translateY(-2px);
box-shadow: 0 5px 15px rgba(102, 126, 234, 0.4);
transform: translateY(-3px);
box-shadow: 0 8px 25px rgba(102, 126, 234, 0.5);
}
.btn-secondary {
background: #6c757d;
background: linear-gradient(135deg, #6b7280 0%, #4b5563 100%);
color: white;
box-shadow: 0 4px 15px rgba(107, 114, 128, 0.3);
}
.btn-secondary:hover {
transform: translateY(-3px);
box-shadow: 0 8px 25px rgba(107, 114, 128, 0.5);
}
.btn-danger {
background: #dc3545;
background: linear-gradient(135deg, #dc3545 0%, #c82333 100%);
color: white;
box-shadow: 0 4px 15px rgba(220, 53, 69, 0.3);
}
.btn-danger:hover {
transform: translateY(-3px);
box-shadow: 0 8px 25px rgba(220, 53, 69, 0.5);
}
.btn-success {
background: #28a745;
background: linear-gradient(135deg, #10b981 0%, #059669 100%);
color: white;
box-shadow: 0 4px 15px rgba(16, 185, 129, 0.3);
}
.btn-success:hover {
transform: translateY(-3px);
box-shadow: 0 8px 25px rgba(16, 185, 129, 0.5);
}
.model-list {
@@ -170,87 +283,122 @@
}
.model-card {
background: white;
border: 2px solid #e9ecef;
border-radius: 10px;
padding: 20px;
transition: all 0.3s;
background: linear-gradient(135deg, #ffffff 0%, #f9fafb 100%);
border: 1px solid rgba(0,0,0,0.08);
border-radius: 14px;
padding: 24px;
transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1);
box-shadow: 0 2px 8px rgba(0,0,0,0.04);
}
.model-card:hover {
border-color: #667eea;
box-shadow: 0 5px 15px rgba(0,0,0,0.1);
box-shadow: 0 8px 25px rgba(102, 126, 234, 0.15);
transform: translateY(-5px);
}
.model-card h3 {
color: #667eea;
margin-bottom: 10px;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
margin-bottom: 12px;
font-size: 1.2em;
}
.model-info {
font-size: 0.9em;
color: #6c757d;
margin: 5px 0;
color: #6b7280;
margin: 6px 0;
line-height: 1.5;
}
.status-badge {
display: inline-block;
padding: 5px 15px;
padding: 6px 16px;
border-radius: 20px;
font-size: 0.9em;
font-size: 0.85em;
font-weight: 600;
margin-top: 10px;
margin-top: 12px;
}
.status-success {
background: #d4edda;
background: linear-gradient(135deg, #d4edda 0%, #c3e6cb 100%);
color: #155724;
box-shadow: 0 2px 8px rgba(21, 87, 36, 0.2);
}
.status-training {
background: #fff3cd;
background: linear-gradient(135deg, #fff3cd 0%, #ffeaa7 100%);
color: #856404;
box-shadow: 0 2px 8px rgba(133, 100, 4, 0.2);
}
.status-error {
background: #f8d7da;
background: linear-gradient(135deg, #f8d7da 0%, #f5c6cb 100%);
color: #721c24;
box-shadow: 0 2px 8px rgba(114, 28, 36, 0.2);
}
.progress-bar {
width: 100%;
height: 30px;
background: #e9ecef;
border-radius: 15px;
height: 32px;
background: linear-gradient(to right, #e5e7eb, #f3f4f6);
border-radius: 16px;
overflow: hidden;
margin: 20px 0;
box-shadow: inset 0 2px 8px rgba(0,0,0,0.08);
border: 1px solid rgba(0,0,0,0.05);
}
.progress-fill {
height: 100%;
background: linear-gradient(90deg, #667eea 0%, #764ba2 100%);
background: linear-gradient(90deg, #667eea 0%, #764ba2 50%, #667eea 100%);
background-size: 200% 100%;
animation: shimmer 2s infinite;
transition: width 0.3s;
display: flex;
align-items: center;
justify-content: center;
color: white;
font-weight: 600;
font-weight: 700;
font-size: 0.9em;
box-shadow: 0 2px 8px rgba(102, 126, 234, 0.4);
}
@keyframes shimmer {
0% { background-position: 200% 0; }
100% { background-position: -200% 0; }
}
.info-box {
background: #e7f3ff;
border-left: 4px solid #2196F3;
padding: 15px;
border-radius: 5px;
background: linear-gradient(135deg, #e3f2fd 0%, #f0f7ff 100%);
border-left: 5px solid #2196F3;
padding: 20px;
border-radius: 12px;
margin-bottom: 20px;
box-shadow: 0 4px 15px rgba(33, 150, 243, 0.1);
transition: all 0.3s ease;
}
.info-box:hover {
box-shadow: 0 6px 25px rgba(33, 150, 243, 0.15);
transform: translateX(3px);
}
.warning-box {
background: #fff3cd;
border-left: 4px solid #ffc107;
padding: 15px;
border-radius: 5px;
background: linear-gradient(135deg, #fff3cd 0%, #ffeaa7 100%);
border-left: 5px solid #ffc107;
padding: 20px;
border-radius: 12px;
margin-bottom: 20px;
box-shadow: 0 4px 15px rgba(255, 193, 7, 0.1);
transition: all 0.3s ease;
}
.warning-box:hover {
box-shadow: 0 6px 25px rgba(255, 193, 7, 0.15);
transform: translateX(3px);
}
.grid-2 {
@@ -273,16 +421,18 @@
background: #1e1e1e;
color: #d4d4d4;
padding: 20px;
border-radius: 8px;
border-radius: 12px;
font-family: 'Courier New', monospace;
font-size: 0.9em;
max-height: 400px;
overflow-y: auto;
margin-top: 20px;
box-shadow: inset 0 2px 10px rgba(0,0,0,0.3);
}
.logs .log-entry {
margin: 5px 0;
padding: 4px 0;
}
.logs .log-info {
@@ -332,9 +482,18 @@
<form id="trainingForm">
<div class="grid-2">
<div class="form-group">
<label>📂 Data Directory</label>
<input type="text" id="dataDir" value="winter_dataset" required>
<small style="color: #6c757d;">Thư mục chứa dữ liệu SEN12MS-CR</small>
<label>🏗️ Model Architecture</label>
<select id="modelArchitecture" required>
<option value="unet">U-Net (Classic CNN)</option>
<option value="crgan">CR-GAN (Cloud Removal GAN)</option>
<option value="spagan">SpA-GAN (Spatial Attention GAN)</option>
<option value="glfcr">GLF-CR (Global-Local Fusion)</option>
<option value="sen12mscr">SEN12MS-CR (Multi-modal)</option>
<option value="rsdehazenet">RSDehazeNet (Remote Sensing)</option>
<option value="cloudnet">Cloud-Net (Encoder-Decoder)</option>
<option value="dsen2cr">DSen2-CR (Deep Sentinel-2)</option>
</select>
<small style="color: #6c757d;">Chọn kiến trúc deep learning cho cloud removal</small>
</div>
<div class="form-group">
@@ -343,6 +502,12 @@
<small style="color: #6c757d;">Tên model để lưu</small>
</div>
<div class="form-group">
<label>📂 Data Directory</label>
<input type="text" id="dataDir" value="winter_dataset" required>
<small style="color: #6c757d;">Thư mục chứa dữ liệu SEN12MS-CR</small>
</div>
<div class="form-group">
<label>📦 Batch Size</label>
<input type="number" id="batchSize" value="8" min="1" max="32" required>
@@ -412,30 +577,54 @@
<!-- Methods Info -->
<div class="section">
<h2 class="section-title">📖 Cloud Removal Methods</h2>
<h2 class="section-title">📖 Cloud Removal Deep Learning Architectures</h2>
<div class="grid-2">
<div class="card">
<h3>🔹 Classic (Default)</h3>
<p>3-step approach: temporal → median → spatial interpolation</p>
<div class="status-badge status-success">Fast</div>
<h3>🔹 U-Net</h3>
<p>Classic encoder-decoder with skip connections. Fast training, good baseline performance.</p>
<div class="status-badge status-success">Recommended for beginners</div>
</div>
<div class="card">
<h3>🔹 Hybrid</h3>
<p>Classical + ML KNN - balanced speed & quality</p>
<div class="status-badge status-success">Recommended</div>
<h3>🔹 CR-GAN</h3>
<p>Cloud Removal GAN - adversarial training cho kết quả chân thực hơn.</p>
<div class="status-badge status-training">Advanced</div>
</div>
<div class="card">
<h3>🔹 ML KNN</h3>
<p>K-Nearest Neighbors inpainting - good quality</p>
<div class="status-badge status-training">Medium Speed</div>
<h3>🔹 SpA-GAN</h3>
<p>Spatial Attention GAN - attention mechanism tập trung vào vùng có mây.</p>
<div class="status-badge status-success">Best quality</div>
</div>
<div class="card">
<h3>🔹 Deep Learning</h3>
<p>U-Net CNN - best quality for large gaps</p>
<div class="status-badge status-error">Requires Model</div>
<h3>🔹 GLF-CR</h3>
<p>Global-Local Fusion - kết hợp features global và local cho chi tiết tốt hơn.</p>
<div class="status-badge status-training">High accuracy</div>
</div>
<div class="card">
<h3>🔹 SEN12MS-CR</h3>
<p>Multi-modal fusion - kết hợp Sentinel-1 radar và Sentinel-2 optical.</p>
<div class="status-badge status-success">Multi-sensor</div>
</div>
<div class="card">
<h3>🔹 RSDehazeNet</h3>
<p>Remote Sensing Dehaze Network - chuyên cho ảnh viễn thám.</p>
<div class="status-badge status-training">RS specialized</div>
</div>
<div class="card">
<h3>🔹 Cloud-Net</h3>
<p>Encoder-Decoder architecture với residual connections.</p>
<div class="status-badge status-success">Balanced</div>
</div>
<div class="card">
<h3>🔹 DSen2-CR</h3>
<p>Deep Sentinel-2 Cloud Removal - tận dụng temporal information.</p>
<div class="status-badge status-training">Temporal fusion</div>
</div>
</div>
</div>
@@ -456,6 +645,7 @@
const config = {
data_dir: document.getElementById('dataDir').value,
model_name: document.getElementById('modelName').value,
architecture: document.getElementById('modelArchitecture').value,
use_s1: document.getElementById('useS1').checked,
batch_size: parseInt(document.getElementById('batchSize').value),
num_epochs: parseInt(document.getElementById('numEpochs').value),
@@ -505,6 +695,7 @@
modelsList.innerHTML = data.models.map(model => `
<div class="model-card">
<h3>📦 ${model.filename}</h3>
<div class="model-info">🏗️ Architecture: ${model.architecture || 'U-Net'}</div>
<div class="model-info">📊 Epoch: ${model.epoch}</div>
<div class="model-info">📉 Train Loss: ${model.train_loss.toFixed(6)}</div>
<div class="model-info">📉 Val Loss: ${model.val_loss.toFixed(6)}</div>