|
|
<!DOCTYPE html> |
|
|
<html lang="en"> |
|
|
<head> |
|
|
<meta charset="UTF-8"> |
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
|
|
<title>Tulsi Analytics — DETR & YOLO12</title> |
|
|
<style> |
|
|
:root { |
|
|
--primary-orange: #EA782D; |
|
|
--accent-orange: #FF7A5A; |
|
|
--dark-bg: #121212; |
|
|
--surface: #1E1E2E; |
|
|
--text: #E0E0E0; |
|
|
--border: rgba(255, 255, 255, 0.1); |
|
|
} |
|
|
|
|
|
body { |
|
|
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; |
|
|
background: var(--dark-bg); |
|
|
color: var(--text); |
|
|
margin: 0; |
|
|
padding: 20px; |
|
|
} |
|
|
|
|
|
.container { |
|
|
max-width: 1400px; |
|
|
margin: 0 auto; |
|
|
background: var(--surface); |
|
|
border-radius: 12px; |
|
|
border: 1px solid var(--border); |
|
|
overflow: hidden; |
|
|
} |
|
|
|
|
|
header { |
|
|
padding: 25px; |
|
|
text-align: center; |
|
|
border-bottom: 1px solid var(--border); |
|
|
background: rgba(0,0,0,0.2); |
|
|
} |
|
|
|
|
|
h1 { color: var(--primary-orange); margin: 0; font-weight: 500; } |
|
|
|
|
|
.layout { |
|
|
display: grid; |
|
|
grid-template-columns: 1fr 1fr; |
|
|
gap: 20px; |
|
|
padding: 20px; |
|
|
} |
|
|
|
|
|
@media (max-width: 1000px) { |
|
|
.layout { grid-template-columns: 1fr; } |
|
|
} |
|
|
|
|
|
.panel { |
|
|
background: rgba(0,0,0,0.15); |
|
|
padding: 20px; |
|
|
border-radius: 10px; |
|
|
} |
|
|
|
|
|
.image-view { |
|
|
width: 100%; |
|
|
height: 450px; |
|
|
background: #000; |
|
|
border-radius: 8px; |
|
|
display: flex; |
|
|
align-items: center; |
|
|
justify-content: center; |
|
|
margin-bottom: 15px; |
|
|
border: 1px solid var(--border); |
|
|
overflow: hidden; |
|
|
} |
|
|
|
|
|
img { max-width: 100%; max-height: 100%; object-fit: contain; } |
|
|
|
|
|
.controls { |
|
|
display: flex; |
|
|
flex-direction: column; |
|
|
gap: 15px; |
|
|
} |
|
|
|
|
|
.control-row { |
|
|
display: flex; |
|
|
align-items: center; |
|
|
justify-content: space-between; |
|
|
padding: 10px; |
|
|
background: rgba(255,255,255,0.03); |
|
|
border-radius: 6px; |
|
|
} |
|
|
|
|
|
.slider-group { padding: 10px; } |
|
|
input[type="range"] { width: 100%; accent-color: var(--primary-orange); } |
|
|
|
|
|
|
|
|
.switch { |
|
|
position: relative; |
|
|
display: inline-block; |
|
|
width: 44px; |
|
|
height: 22px; |
|
|
} |
|
|
.switch input { opacity: 0; width: 0; height: 0; } |
|
|
.slider { |
|
|
position: absolute; |
|
|
cursor: pointer; |
|
|
top: 0; left: 0; right: 0; bottom: 0; |
|
|
background-color: #444; |
|
|
transition: .4s; |
|
|
border-radius: 34px; |
|
|
} |
|
|
.slider:before { |
|
|
position: absolute; |
|
|
content: ""; |
|
|
height: 16px; width: 16px; |
|
|
left: 3px; bottom: 3px; |
|
|
background-color: white; |
|
|
transition: .4s; |
|
|
border-radius: 50%; |
|
|
} |
|
|
input:checked + .slider { background-color: var(--primary-orange); } |
|
|
input:checked + .slider:before { transform: translateX(22px); } |
|
|
|
|
|
.predict-btn { |
|
|
background: var(--primary-orange); |
|
|
color: white; |
|
|
border: none; |
|
|
padding: 15px; |
|
|
border-radius: 8px; |
|
|
font-weight: 600; |
|
|
cursor: pointer; |
|
|
transition: 0.2s; |
|
|
width: 100%; |
|
|
} |
|
|
.predict-btn:hover { background: var(--accent-orange); } |
|
|
.predict-btn:disabled { opacity: 0.5; cursor: not-allowed; } |
|
|
|
|
|
.upload-box { |
|
|
border: 2px dashed var(--border); |
|
|
padding: 20px; |
|
|
text-align: center; |
|
|
cursor: pointer; |
|
|
margin-bottom: 15px; |
|
|
} |
|
|
</style> |
|
|
</head> |
|
|
<body> |
|
|
|
|
|
<div class="container"> |
|
|
<header> |
|
|
<h1>Tulsi Disease Analysis</h1> |
|
|
</header> |
|
|
|
|
|
<div class="layout"> |
|
|
<div class="panel"> |
|
|
<div class="upload-box" id="drop-zone">Click/Drop Image</div> |
|
|
<input type="file" id="file-input" hidden accept="image/*"> |
|
|
|
|
|
<div class="image-view"> |
|
|
<img id="input-preview" src="" style="display:none;"> |
|
|
</div> |
|
|
|
|
|
<div class="controls"> |
|
|
<div class="control-row"> |
|
|
<span>Enable Segmentation</span> |
|
|
<label class="switch"><input type="checkbox" id="seg-enable" checked><span class="slider"></span></label> |
|
|
</div> |
|
|
<div class="slider-group"> |
|
|
<label>Seg. Confidence: <span id="seg-val">0.25</span></label> |
|
|
<input type="range" id="seg-conf" min="5" max="95" value="25"> |
|
|
</div> |
|
|
<div class="control-row"> |
|
|
<span>Show Seg. Confidence</span> |
|
|
<label class="switch"><input type="checkbox" id="seg-show-conf"><span class="slider"></span></label> |
|
|
</div> |
|
|
|
|
|
<div class="control-row"> |
|
|
<span>Enable Classification</span> |
|
|
<label class="switch"><input type="checkbox" id="cls-enable" checked><span class="slider"></span></label> |
|
|
</div> |
|
|
<div class="control-row"> |
|
|
<span>Show Label</span> |
|
|
<label class="switch"><input type="checkbox" id="cls-show-label" checked><span class="slider"></span></label> |
|
|
</div> |
|
|
<div class="control-row"> |
|
|
<span>Show Cls. Confidence</span> |
|
|
<label class="switch"><input type="checkbox" id="cls-show-conf" checked><span class="slider"></span></label> |
|
|
</div> |
|
|
|
|
|
<button id="predict-btn" class="predict-btn" disabled>Run Analysis</button> |
|
|
</div> |
|
|
</div> |
|
|
|
|
|
<div class="panel"> |
|
|
<h3 style="margin-top:0;">Overlay Result</h3> |
|
|
<div class="image-view"> |
|
|
<img id="output-preview" src=""> |
|
|
</div> |
|
|
<div id="status">Status: Waiting for input</div> |
|
|
</div> |
|
|
</div> |
|
|
</div> |
|
|
|
|
|
<script> |
|
|
const fileInput = document.getElementById('file-input'); |
|
|
const dropZone = document.getElementById('drop-zone'); |
|
|
const inputImg = document.getElementById('input-preview'); |
|
|
const outputImg = document.getElementById('output-preview'); |
|
|
const predictBtn = document.getElementById('predict-btn'); |
|
|
const segConf = document.getElementById('seg-conf'); |
|
|
const segVal = document.getElementById('seg-val'); |
|
|
|
|
|
segConf.oninput = () => segVal.innerText = (segConf.value / 100).toFixed(2); |
|
|
|
|
|
dropZone.onclick = () => fileInput.click(); |
|
|
fileInput.onchange = (e) => handleFile(e.target.files[0]); |
|
|
|
|
|
function handleFile(file) { |
|
|
if (!file) return; |
|
|
const reader = new FileReader(); |
|
|
reader.onload = (e) => { |
|
|
inputImg.src = e.target.result; |
|
|
inputImg.style.display = 'block'; |
|
|
predictBtn.disabled = false; |
|
|
}; |
|
|
reader.readAsDataURL(file); |
|
|
} |
|
|
|
|
|
predictBtn.onclick = async () => { |
|
|
predictBtn.disabled = true; |
|
|
predictBtn.innerText = "Processing..."; |
|
|
|
|
|
const payload = { |
|
|
image: inputImg.src, |
|
|
seg_enabled: document.getElementById('seg-enable').checked, |
|
|
seg_conf: segConf.value / 100, |
|
|
seg_show_conf: document.getElementById('seg-show-conf').checked, |
|
|
cls_enabled: document.getElementById('cls-enable').checked, |
|
|
cls_show_conf: document.getElementById('cls-show-conf').checked, |
|
|
cls_show_label: document.getElementById('cls-show-label').checked |
|
|
}; |
|
|
|
|
|
try { |
|
|
const resp = await fetch('/predict', { |
|
|
method: 'POST', |
|
|
headers: {'Content-Type': 'application/json'}, |
|
|
body: JSON.stringify(payload) |
|
|
}); |
|
|
const data = await resp.json(); |
|
|
outputImg.src = data.annotated; |
|
|
document.getElementById('status').innerText = `Status: Detected ${data.count} leaves`; |
|
|
} catch (e) { |
|
|
alert("Error running inference"); |
|
|
} finally { |
|
|
predictBtn.disabled = false; |
|
|
predictBtn.innerText = "Run Analysis"; |
|
|
} |
|
|
}; |
|
|
</script> |
|
|
</body> |
|
|
</html> |
