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Brandon Lei
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Brandon Lei
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Oct 3, 2024
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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>Line Detection</title> | ||
<style> | ||
body { font-family: Arial, sans-serif; text-align: center; } | ||
#outputImage { max-width: 100%; height: auto; border: 1px solid #ddd; } | ||
#controls { margin: 20px 0; } | ||
#ipInput { padding: 5px; width: 200px; } | ||
button { padding: 5px 10px; cursor: pointer; } | ||
</style> | ||
<script> | ||
const port = { camera: 8000 }; | ||
const endpoint = { video: 'video_feed' }; | ||
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class LineDetector { | ||
constructor(raspberryPiIp, width = 640, height = 480) { | ||
this.raspberryPiIp = raspberryPiIp; | ||
this.width = width; | ||
this.height = height; | ||
this.canvas = document.createElement('canvas'); | ||
this.canvas.width = width; | ||
this.canvas.height = height; | ||
this.ctx = this.canvas.getContext('2d'); | ||
this.lastDetectedLine = []; | ||
} | ||
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async detectLine() { | ||
try { | ||
const image = await this.loadImage(`http://${this.raspberryPiIp}:${port.camera}/${endpoint.video}?t=${Date.now()}`); | ||
this.ctx.drawImage(image, 0, 0, this.width, this.height); | ||
const imageData = this.ctx.getImageData(0, 0, this.width, this.height); | ||
const lineCoordinates = this.processImageData(imageData); | ||
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if (lineCoordinates.length > 0) { | ||
this.lastDetectedLine = lineCoordinates; | ||
} | ||
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this.drawLine(this.lastDetectedLine); | ||
return this.canvas.toDataURL(); | ||
} catch (error) { | ||
console.error('Error detecting line:', error); | ||
return null; | ||
} | ||
} | ||
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loadImage(src) { | ||
return new Promise((resolve, reject) => { | ||
const img = new Image(); | ||
img.crossOrigin = "Anonymous"; | ||
img.onload = () => resolve(img); | ||
img.onerror = reject; | ||
img.src = src; | ||
}); | ||
} | ||
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processImageData(imageData) { | ||
const lineCoordinates = []; | ||
const threshold = 50; | ||
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for (let y = 0; y < this.height; y++) { | ||
for (let x = 0; x < this.width; x++) { | ||
const index = (y * this.width + x) * 4; | ||
const [r, g, b] = imageData.data.slice(index, index + 3); | ||
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if (r < threshold && g < threshold && b < threshold) { | ||
lineCoordinates.push([x, y]); | ||
} | ||
} | ||
} | ||
return lineCoordinates.sort((a, b) => a[1] - b[1]); | ||
} | ||
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drawLine(coordinates) { | ||
this.ctx.beginPath(); | ||
this.ctx.strokeStyle = 'red'; | ||
this.ctx.lineWidth = 2; | ||
coordinates.forEach(([x, y], i) => { | ||
i === 0 ? this.ctx.moveTo(x, y) : this.ctx.lineTo(x, y); | ||
}); | ||
this.ctx.stroke(); | ||
} | ||
} | ||
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let detector; | ||
let updateInterval; | ||
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function initializeDetector() { | ||
const raspberryPiIp = document.getElementById('ipInput').value; | ||
if (!raspberryPiIp) { | ||
alert('Please enter a valid IP address'); | ||
return; | ||
} | ||
detector = new LineDetector(raspberryPiIp); | ||
clearInterval(updateInterval); | ||
updateImage(); | ||
updateInterval = setInterval(updateImage, 500); | ||
} | ||
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async function updateImage() { | ||
if (detector) { | ||
const imageDataUrl = await detector.detectLine(); | ||
if (imageDataUrl) { | ||
document.getElementById('outputImage').src = imageDataUrl; | ||
} | ||
} | ||
} | ||
</script> | ||
</head> | ||
<body> | ||
<h1>Line Detection</h1> | ||
<div id="controls"> | ||
<input type="text" id="ipInput" placeholder="Enter Raspberry Pi IP"> | ||
<button onclick="initializeDetector()">Start Detection</button> | ||
</div> | ||
<img id="outputImage" alt="Processed Image"> | ||
</body> | ||
</html> | ||
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