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<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
<title>Tulsi Leaf Segmentation — RF-DETR</title>
<style>
:root {
--primary: #E73562;
--secondary: #EA782D;
--dark-bg: #121212;
--surface-bg: #1E1E2E;
--text-primary: #E0E0E0;
--text-secondary: #BDB2C6;
--border-color: rgba(255, 255, 255, 0.06);
--accent-green: #33ff99;
}
* { margin: 0; padding: 0; box-sizing: border-box; }
body {
min-height: 100vh;
}
.container {
max-width: 1200px;
margin: 0 auto;
background: var(--surface-bg);
border-radius: 14px;
box-shadow: 0 10px 30px rgba(0,0,0,0.35);
border: 1px solid var(--border-color);
overflow: hidden;
}
header {
text-align: center;
padding: 30px;
background: rgba(0,0,0,0.18);
border-bottom: 1px solid var(--border-color);
}
h1 {
color: var(--primary);
font-size: 2.2em;
font-weight: 600;
margin-bottom: 8px;
}
.header-note {
font-size: 0.92rem;
background-color: rgba(255, 59, 48, 0.06);
color: var(--secondary);
padding: 8px 12px;
border-radius: 6px;
display: inline-block;
border: 1px solid rgba(255,59,48,0.08);
}
.main-content {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 26px;
padding: 30px;
}
.column {
background: rgba(0,0,0,0.15);
border-radius: 12px;
padding: 22px;
display: flex;
flex-direction: column;
}
.column h2 {
color: var(--primary);
margin-bottom: 16px;
font-size: 1.4em;
font-weight: 500;
text-align: center;
}
.upload-area {
border: 2px dashed var(--primary);
border-radius: 8px;
padding: 28px;
text-align: center;
margin-bottom: 18px;
transition: all 0.2s ease;
cursor: pointer;
user-select: none;
}
.upload-area.dragover {
background: rgba(255, 77, 166, 0.06);
transform: translateY(-2px);
}
.upload-area p { color: var(--text-secondary); font-size: 1.05em; }
.canvas-container {
background: #000;
border-radius: 8px;
margin-bottom: 18px;
display: flex;
justify-content: center;
align-items: center;
min-height: 420px;
border: 1px solid var(--border-color);
position: relative;
overflow: hidden;
}
canvas, img {
max-width: 100%;
max-height: 520px;
object-fit: contain;
border-radius: 4px;
}
.controls-panel {
background: rgba(0,0,0,0.18);
border-radius: 8px;
padding: 14px;
margin-top: 6px;
}
.control-group { margin-bottom: 14px; }
label { display:block; margin-bottom:6px; color:var(--text-secondary); font-size:0.95em; }
.confidence-display { display:flex; justify-content:space-between; align-items:center; margin-bottom:8px; }
.confidence-value { color: var(--primary); font-weight:700; font-size:1.05em; }
input[type="range"] { width:100%; height:8px; border-radius:4px; background: rgba(255,255,255,0.06); outline:none; }
input[type="range"]::-webkit-slider-thumb { -webkit-appearance:none; width:18px; height:18px; border-radius:50%; background:var(--primary); cursor:pointer; }
input[type="range"]::-moz-range-thumb { width:18px; height:18px; border-radius:50%; background:var(--primary); cursor:pointer; }
/* Toggle switches */
.toggle-group {
display: flex;
gap: 16px;
margin-bottom: 14px;
padding: 10px;
background: rgba(0,0,0,0.2);
border-radius: 6px;
}
.toggle-item {
flex: 1;
display: flex;
align-items: center;
justify-content: space-between;
}
.toggle-label {
color: var(--text-secondary);
font-size: 0.9em;
font-weight: 500;
}
.toggle-switch {
position: relative;
display: inline-block;
width: 44px;
height: 24px;
}
.toggle-switch input {
opacity: 0;
width: 0;
height: 0;
}
.slider {
position: absolute;
cursor: pointer;
top: 0;
left: 0;
right: 0;
bottom: 0;
background-color: rgba(255, 255, 255, 0.1);
transition: .3s;
border-radius: 24px;
}
.slider:before {
position: absolute;
content: "";
height: 18px;
width: 18px;
left: 3px;
bottom: 3px;
background-color: white;
transition: .3s;
border-radius: 50%;
}
input:checked + .slider {
background-color: var(--accent-green);
}
input:checked + .slider:before {
transform: translateX(20px);
}
.action-btn {
background: linear-gradient(135deg, var(--secondary), #FF7A5A);
color: white;
border: none;
padding: 12px 20px;
font-size: 1.02em;
width: 100%;
border-radius: 8px;
cursor: pointer;
transition: all 0.22s ease;
margin-top: 6px;
font-weight:600;
}
.action-btn:hover:not(:disabled) {
transform: translateY(-2px);
box-shadow: 0 6px 20px rgba(234, 120, 45, 0.4);
}
.action-btn:disabled { background: linear-gradient(135deg,#444,#666); cursor:not-allowed; opacity:0.6; }
.info-panel { background: rgba(0,0,0,0.14); border-radius:8px; padding:14px; margin-top:10px; }
.detection-info { color: var(--text-secondary); font-size:0.95em; }
.detection-count { color: var(--primary); font-weight:700; font-size:1.1em; margin-top:8px; }
.download-btn {
background: linear-gradient(135deg,#D63384,#8E2B57);
color: white;
border: none;
padding: 10px 16px;
border-radius: 8px;
cursor: pointer;
width: 100%;
font-weight:600;
transition: all 0.22s ease;
}
.download-btn:hover:not(:disabled) {
transform: translateY(-2px);
box-shadow: 0 6px 20px rgba(214, 51, 132, 0.4);
}
.download-btn:disabled { opacity: 0.5; cursor: not-allowed; }
@media (max-width: 900px) {
.main-content { grid-template-columns: 1fr; }
h1 { font-size: 1.8em; }
.toggle-group { flex-direction: column; gap: 10px; }
}
.visually-hidden { position:absolute; left:-9999px; width:1px; height:1px; overflow:hidden; }
</style>
</head>
<body>
<div class="container">
<header>
<h1>Tulsi Leaf Segmentation — RF-DETR</h1>
<p class="header-note">The model predicts leaves that are in focus and clearly visible in the input. <strong>Recommended:</strong>For best performance, provide a high-quality image</p>
</header>
<div class="main-content">
<!-- Left column: upload & controls -->
<div class="column">
<h2>Input & Controls</h2>
<div id="upload-area" class="upload-area">
<p>Click or drop an image here (jpg, png)</p>
</div>
<input id="file-input" class="visually-hidden" type="file" accept="image/*" />
<div class="canvas-container">
<canvas id="input-canvas"></canvas>
</div>
<div class="controls-panel">
<div class="control-group">
<div class="confidence-display">
<label>Confidence Threshold</label>
<span class="confidence-value" id="conf-display">0.05</span>
</div>
<input id="conf-slider" type="range" min="0" max="100" value="5" step="1">
</div>
<div class="toggle-group">
<div class="toggle-item">
<span class="toggle-label">Show Labels</span>
<label class="toggle-switch">
<input type="checkbox" id="show-labels" checked>
<span class="slider"></span>
</label>
</div>
<div class="toggle-item">
<span class="toggle-label">Show Confidence</span>
<label class="toggle-switch">
<input type="checkbox" id="show-confidence" checked>
<span class="slider"></span>
</label>
</div>
</div>
<button id="predict-btn" class="action-btn" disabled>Detect Leaves</button>
</div>
</div>
<!-- Right column: output & info -->
<div class="column">
<h2>Detection Results</h2>
<div class="canvas-container">
<img id="annotated-img" src="" />
</div>
<div class="info-panel">
<div class="detection-info">
<p><strong>Status:</strong> <span id="status-text">Ready</span></p>
<p class="detection-count">Leaves Detected: <span id="leaf-count">0</span></p>
<p class="detection-info">Highest confidence: <strong id="best-conf">0.00</strong></p>
<button id="download-btn" class="download-btn" disabled>Download Annotated Image</button>
</div>
</div>
</div>
</div>
<script>
(function(){
const uploadArea = document.getElementById('upload-area');
const fileInput = document.getElementById('file-input');
const inputCanvas = document.getElementById('input-canvas');
const inputCtx = inputCanvas.getContext('2d');
const predictBtn = document.getElementById('predict-btn');
const confSlider = document.getElementById('conf-slider');
const confDisplay = document.getElementById('conf-display');
const showLabelsToggle = document.getElementById('show-labels');
const showConfidenceToggle = document.getElementById('show-confidence');
const annotatedImg = document.getElementById('annotated-img');
const statusText = document.getElementById('status-text');
const leafCountEl = document.getElementById('leaf-count');
const bestConfEl = document.getElementById('best-conf');
const downloadBtn = document.getElementById('download-btn');
let currentImage = null;
let lastAnnotatedDataUrl = null;
function setStatus(text) { statusText.textContent = text; }
uploadArea.addEventListener('click', ()=> fileInput.click());
uploadArea.addEventListener('dragover', (e)=>{ e.preventDefault(); uploadArea.classList.add('dragover'); });
uploadArea.addEventListener('dragleave', ()=> uploadArea.classList.remove('dragover'));
uploadArea.addEventListener('drop', (e)=>{
e.preventDefault(); uploadArea.classList.remove('dragover');
const f = e.dataTransfer.files && e.dataTransfer.files[0];
if (f) handleFile(f);
});
fileInput.addEventListener('change', (e)=> {
const f = e.target.files && e.target.files[0];
if (f) handleFile(f);
});
function handleFile(file) {
const reader = new FileReader();
reader.onload = (ev) => {
const img = new Image();
img.onload = () => {
currentImage = img;
drawToCanvas(img);
predictBtn.disabled = false;
annotatedImg.src = "";
downloadBtn.disabled = true;
setStatus("Image ready");
};
img.src = ev.target.result;
};
reader.readAsDataURL(file);
}
function drawToCanvas(img) {
const maxW = 600, maxH = 520;
let w = img.width, h = img.height;
const ratio = Math.min(maxW/w, maxH/h, 1);
w = Math.round(w*ratio); h = Math.round(h*ratio);
inputCanvas.width = w; inputCanvas.height = h;
inputCtx.clearRect(0,0,w,h);
inputCtx.drawImage(img, 0,0,w,h);
}
confSlider.addEventListener('input', ()=> {
const val = confSlider.value / 100;
confDisplay.textContent = val.toFixed(2);
});
predictBtn.addEventListener('click', async ()=>{
if (!currentImage) return;
predictBtn.disabled = true;
setStatus("Processing...");
const dataUrl = inputCanvas.toDataURL('image/jpeg', 0.9);
const conf = confSlider.value / 100;
const showLabels = showLabelsToggle.checked;
const showConfidence = showConfidenceToggle.checked;
try {
const res = await fetch('/predict', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
image: dataUrl,
conf: conf,
show_labels: showLabels,
show_confidence: showConfidence
})
});
if (!res.ok) throw new Error('Server error: ' + res.status);
const j = await res.json();
lastAnnotatedDataUrl = j.annotated;
annotatedImg.src = lastAnnotatedDataUrl;
leafCountEl.textContent = j.count || 0;
const best = j.confidences && j.confidences.length ? Math.max(...j.confidences) : 0;
bestConfEl.textContent = (best).toFixed(2);
downloadBtn.disabled = false;
setStatus("Done");
} catch (err) {
console.error(err);
setStatus("Error: " + (err.message || err));
alert('Prediction failed. See console for details.');
} finally {
predictBtn.disabled = false;
}
});
downloadBtn.addEventListener('click', ()=>{
if (!lastAnnotatedDataUrl) return;
const a = document.createElement('a');
a.href = lastAnnotatedDataUrl;
a.download = `tulsi_segment_${Date.now()}.png`;
document.body.appendChild(a);
a.click();
a.remove();
});
// Initialize
setStatus('Ready');
})();
</script>
</body>
</html> |