| <!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> |
