OcanPredict / templates /index.html
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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>OSMF Detection</title>
<link rel="stylesheet" href="{{ url_for('static', filename='style.css') }}">
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;500;600&display=swap" rel="stylesheet">
</head>
<body>
<div class="container">
<h1>OSMF Classification : OcanPredict</h1>
<div class="main-content">
<div class="left-panel">
<div class="upload-section">
<h2>Upload Image</h2>
<div class="file-upload">
<input type="file" id="fileInput" accept="image/*">
<label for="fileInput">Choose File</label>
</div>
<button id="uploadPredict" disabled>Analyze Upload</button>
</div>
<div class="separator">
<span>OR</span>
</div>
<div class="camera-section">
<h2>Capture Image</h2>
<video id="video" autoplay playsinline></video>
<canvas id="canvas" style="display: none;"></canvas>
<button id="capture">Capture Image</button>
</div>
</div>
<div class="right-panel">
<div class="preview-section">
<h2>Preview</h2>
<img id="preview" style="display: none;">
<button id="predict" disabled>Analyze Capture</button>
</div>
<div id="result" class="result-container"></div>
</div>
</div>
</div>
<script>
const video = document.getElementById('video');
const canvas = document.getElementById('canvas');
const preview = document.getElementById('preview');
const captureBtn = document.getElementById('capture');
const predictBtn = document.getElementById('predict');
const result = document.getElementById('result');
const fileInput = document.getElementById('fileInput');
const uploadPredict = document.getElementById('uploadPredict');
// Access webcam
navigator.mediaDevices.getUserMedia({ video: true })
.then(stream => {
video.srcObject = stream;
});
// File upload handling
fileInput.addEventListener('change', (e) => {
const file = e.target.files[0];
if (file) {
const reader = new FileReader();
reader.onload = (e) => {
preview.src = e.target.result;
preview.style.display = 'block';
uploadPredict.disabled = false;
predictBtn.disabled = true;
};
reader.readAsDataURL(file);
}
});
captureBtn.addEventListener('click', () => {
canvas.width = video.videoWidth;
canvas.height = video.videoHeight;
canvas.getContext('2d').drawImage(video, 0, 0);
preview.src = canvas.toDataURL('image/png');
preview.style.display = 'block';
predictBtn.disabled = false;
uploadPredict.disabled = true;
fileInput.value = '';
});
async function predict(formData) {
try {
const response = await fetch('/predict', {
method: 'POST',
body: formData
});
const data = await response.json();
result.innerHTML = `
<h2>Results:</h2>
<p>Classification: ${data.class}</p>
`;
} catch (error) {
result.innerHTML = 'Error during prediction';
}
}
predictBtn.addEventListener('click', async () => {
const blob = await (await fetch(preview.src)).blob();
const formData = new FormData();
formData.append('image', blob, 'capture.png');
await predict(formData);
});
uploadPredict.addEventListener('click', async () => {
const formData = new FormData();
formData.append('image', fileInput.files[0]);
await predict(formData);
});
</script>
</body>
</html>