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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Pose Classification</title>
<script src="https://cdn.tailwindcss.com"></script>
</head>
<body class="bg-gradient-to-br from-slate-900 via-slate-800 to-slate-900 min-h-screen">
<div class="min-h-screen flex items-center justify-center px-4 py-12">
<div class="w-full max-w-md">
<!-- Header -->
<div class="text-center mb-8">
<h1 class="text-4xl font-bold text-white mb-2">Pose Classification</h1>
<p class="text-slate-400 text-sm">Upload an image to classify human poses</p>
</div>
<!-- Main Card -->
<div class="bg-slate-800 rounded-lg shadow-xl overflow-hidden border border-slate-700">
<!-- Upload Section -->
<div class="p-8">
<form id="uploadForm" class="space-y-6">
<!-- File Input -->
<div class="relative">
<input
type="file"
id="imageInput"
accept="image/*"
class="hidden"
required
>
<label
for="imageInput"
class="flex items-center justify-center w-full px-4 py-6 border-2 border-dashed border-slate-600 rounded-lg cursor-pointer transition hover:border-blue-400 hover:bg-slate-700/50"
>
<div class="text-center">
<svg class="w-10 h-10 mx-auto mb-2 text-slate-400" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M12 4v16m8-8H4"></path>
</svg>
<p class="text-slate-300 font-medium">Click to upload image</p>
<p class="text-slate-500 text-xs mt-1">PNG, JPG, JPEG up to 10MB</p>
</div>
</label>
</div>
<!-- Image Preview -->
<div id="previewContainer" class="hidden">
<img id="imagePreview" class="w-full h-64 object-cover rounded-lg" alt="Preview">
</div>
<!-- Submit Button -->
<button
type="submit"
id="submitBtn"
class="w-full bg-blue-600 hover:bg-blue-700 text-white font-semibold py-3 rounded-lg transition disabled:opacity-50 disabled:cursor-not-allowed"
disabled
>
Classify Pose
</button>
</form>
</div>
<!-- Results Section -->
<div id="resultsContainer" class="hidden border-t border-slate-700 bg-slate-700/30 p-8">
<h2 class="text-white font-semibold mb-4 text-lg">Classification Results</h2>
<div class="space-y-4">
<!-- Prediction -->
<div class="bg-slate-800/50 rounded-lg p-4">
<p class="text-slate-400 text-sm mb-1">Detected Pose</p>
<p id="predictionLabel" class="text-white text-2xl font-bold">-</p>
</div>
<!-- Confidence -->
<div class="bg-slate-800/50 rounded-lg p-4">
<p class="text-slate-400 text-sm mb-2">Confidence</p>
<div class="flex items-center space-x-3">
<div class="flex-1 bg-slate-700 rounded-full h-2">
<div id="confidenceBar" class="bg-green-500 h-2 rounded-full transition-all" style="width: 0%"></div>
</div>
<p id="confidenceScore" class="text-white font-semibold min-w-fit">0%</p>
</div>
</div>
<!-- Inference Time -->
<div class="bg-slate-800/50 rounded-lg p-4">
<p class="text-slate-400 text-sm mb-1">Inference Time</p>
<p id="inferenceTime" class="text-white text-lg font-semibold">-</p>
</div>
</div>
<!-- Reset Button -->
<button
onclick="resetForm()"
class="w-full mt-6 bg-slate-700 hover:bg-slate-600 text-white font-semibold py-2 rounded-lg transition"
>
Classify Another Image
</button>
</div>
</div>
<!-- Status Messages -->
<div id="loadingContainer" class="hidden mt-4 text-center">
<div class="inline-block">
<div class="animate-spin h-8 w-8 border-4 border-blue-400 border-t-transparent rounded-full"></div>
</div>
<p class="text-slate-400 mt-2">Processing image...</p>
</div>
<div id="errorContainer" class="hidden mt-4 p-4 bg-red-900/30 border border-red-700 rounded-lg">
<p id="errorMessage" class="text-red-300 text-sm"></p>
</div>
</div>
</div>
<script>
const uploadForm = document.getElementById('uploadForm');
const imageInput = document.getElementById('imageInput');
const previewContainer = document.getElementById('previewContainer');
const imagePreview = document.getElementById('imagePreview');
const submitBtn = document.getElementById('submitBtn');
const loadingContainer = document.getElementById('loadingContainer');
const resultsContainer = document.getElementById('resultsContainer');
const errorContainer = document.getElementById('errorContainer');
const errorMessage = document.getElementById('errorMessage');
// Handle image selection
imageInput.addEventListener('change', function(e) {
const file = e.target.files[0];
if (file) {
// Validate file size (10MB)
if (file.size > 10 * 1024 * 1024) {
showError('Image size must be less than 10MB');
imageInput.value = '';
submitBtn.disabled = true;
return;
}
// Show preview
const reader = new FileReader();
reader.onload = function(event) {
imagePreview.src = event.target.result;
previewContainer.classList.remove('hidden');
submitBtn.disabled = false;
errorContainer.classList.add('hidden');
resultsContainer.classList.add('hidden');
};
reader.readAsDataURL(file);
}
});
// Handle form submission
uploadForm.addEventListener('submit', async function(e) {
e.preventDefault();
const file = imageInput.files[0];
if (!file) return;
// Show loading state
submitBtn.disabled = true;
loadingContainer.classList.remove('hidden');
resultsContainer.classList.add('hidden');
errorContainer.classList.add('hidden');
try {
const formData = new FormData();
formData.append('file', file);
const response = await fetch('/api/v1/classify', {
method: 'POST',
body: formData
});
if (!response.ok) {
const error = await response.json();
throw new Error(error.detail || 'Classification failed');
}
const data = await response.json();
displayResults(data);
} catch (error) {
showError(error.message || 'An error occurred during classification');
} finally {
submitBtn.disabled = false;
loadingContainer.classList.add('hidden');
}
});
function displayResults(data) {
const confidence = (data.prediction.score * 100).toFixed(1);
document.getElementById('predictionLabel').textContent = data.prediction.label;
document.getElementById('confidenceScore').textContent = confidence + '%';
document.getElementById('confidenceBar').style.width = confidence + '%';
document.getElementById('inferenceTime').textContent = data.prediction_time_ms + ' ms';
resultsContainer.classList.remove('hidden');
}
function showError(message) {
errorMessage.textContent = message;
errorContainer.classList.remove('hidden');
}
function resetForm() {
imageInput.value = '';
previewContainer.classList.add('hidden');
resultsContainer.classList.add('hidden');
errorContainer.classList.add('hidden');
submitBtn.disabled = true;
}
</script>
</body>
</html> |