Image Identifier Scanner Tool

async function processImage(originalImg, maxPredictions = "3", overlayStyle = "scifi") {
    const numPredictions = parseInt(maxPredictions, 10) || 3;
    
    // Create the primary output canvas
    const canvas = document.createElement('canvas');
    canvas.width = originalImg.width;
    canvas.height = originalImg.height;
    const ctx = canvas.getContext('2d');

    // Draw the original image onto the canvas
    ctx.drawImage(originalImg, 0, 0);

    // Helper function to dynamically load external scripts safely
    const loadScript = (src, globalVar) => new Promise((resolve, reject) => {
        if (window[globalVar]) {
            return resolve();
        }
        const script = document.createElement('script');
        script.src = src;
        script.crossOrigin = 'anonymous';
        script.onload = () => resolve();
        script.onerror = () => reject(new Error(`Failed to load ${src}`));
        document.head.appendChild(script);
    });

    try {
        // Load TensorFlow.js and MobileNet for image identification
        await loadScript('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.11.0/dist/tf.min.js', 'tf');
        await loadScript('https://cdn.jsdelivr.net/npm/@tensorflow-models/mobilenet@2.1.0/dist/mobilenet.min.js', 'mobilenet');

        // Initialize model computationally
        const model = await window.mobilenet.load({ version: 2, alpha: 1.0 });
        
        // Pass the untainted canvas drawn with the image for classification
        const predictions = await model.classify(canvas);
        const topPredictions = predictions.slice(0, numPredictions);

        // Apply "Scanner" Visual HUD Filter
        const primaryColor = overlayStyle === 'scifi' ? '#00FF00' : '#00AAFF';
        const darkHazeColor = overlayStyle === 'scifi' ? 'rgba(0, 20, 0, 0.75)' : 'rgba(0, 0, 20, 0.75)';
        const scanHazeColor = overlayStyle === 'scifi' ? 'rgba(0, 255, 0, 0.05)' : 'rgba(0, 170, 255, 0.05)';
        
        // 1. Subtle overall screen tint
        ctx.fillStyle = scanHazeColor;
        ctx.fillRect(0, 0, canvas.width, canvas.height);

        // 2. Scanline effect
        ctx.beginPath();
        ctx.moveTo(0, canvas.height * 0.45);
        ctx.lineTo(canvas.width, canvas.height * 0.45);
        ctx.strokeStyle = primaryColor;
        ctx.globalAlpha = 0.5;
        ctx.lineWidth = Math.max(2, canvas.height * 0.005);
        ctx.stroke();
        ctx.globalAlpha = 1.0; // Reset alpha

        // 3. HUD Target Crosshairs
        ctx.strokeStyle = primaryColor;
        ctx.lineWidth = Math.max(2, Math.min(canvas.width, canvas.height) * 0.015);
        const cw = canvas.width;
        const ch = canvas.height;
        const length = Math.min(cw, ch) * 0.1;
        const offset = Math.min(cw, ch) * 0.03;

        ctx.beginPath();
        // Top Left
        ctx.moveTo(offset, offset + length); 
        ctx.lineTo(offset, offset); 
        ctx.lineTo(offset + length, offset);
        // Top Right
        ctx.moveTo(cw - offset - length, offset); 
        ctx.lineTo(cw - offset, offset); 
        ctx.lineTo(cw - offset, offset + length);
        // Bottom Right
        ctx.moveTo(cw - offset, ch - offset - length); 
        ctx.lineTo(cw - offset, ch - offset); 
        ctx.lineTo(cw - offset - length, ch - offset);
        // Bottom Left
        ctx.moveTo(offset + length, ch - offset); 
        ctx.lineTo(offset, ch - offset); 
        ctx.lineTo(offset, ch - offset - length);
        ctx.stroke();

        // 4. Data Overlay Backdrop
        const fontSizeTitle = Math.max(16, ch * 0.035);
        const fontSizeText = Math.max(14, ch * 0.03);
        const padding = Math.max(10, ch * 0.02);
        const overlayHeight = padding * 3 + fontSizeTitle + topPredictions.length * (fontSizeText + 8) + 10;

        ctx.fillStyle = darkHazeColor;
        ctx.fillRect(0, ch - overlayHeight, cw, overlayHeight);
        ctx.strokeStyle = primaryColor;
        ctx.lineWidth = 2;
        ctx.beginPath();
        ctx.moveTo(0, ch - overlayHeight);
        ctx.lineTo(cw, ch - overlayHeight);
        ctx.stroke();

        // 5. Draw Title and Target Labels
        ctx.fillStyle = primaryColor;
        ctx.font = `bold ${fontSizeTitle}px monospace`;
        ctx.fillText('SCANNER IDENTIFICATION RESULTS:', padding, ch - overlayHeight + padding + fontSizeTitle);

        ctx.font = `${fontSizeText}px monospace`;
        topPredictions.forEach((p, i) => {
            ctx.fillStyle = '#FFFFFF';
            const accuracy = (p.probability * 100).toFixed(1);
            const textY = ch - overlayHeight + padding * 2 + fontSizeTitle + i * (fontSizeText + 8) + 10;
            
            // Draw bullet point / bar
            ctx.fillStyle = primaryColor;
            ctx.fillRect(padding, textY - fontSizeText * 0.75, 5, fontSizeText);
            
            ctx.fillStyle = '#FFFFFF';
            ctx.fillText(` [${accuracy}% MATCH] ${p.className.toUpperCase()}`, padding + 10, textY);
        });

    } catch (err) {
        // Fallback drawing if Neural Network fails to load due to network/CORS
        console.error("Scanner Error:", err);
        ctx.fillStyle = 'rgba(255, 0, 0, 0.8)';
        ctx.fillRect(0, canvas.height - 60, canvas.width, 60);
        ctx.fillStyle = '#FFFFFF';
        ctx.font = 'bold 16px monospace';
        ctx.fillText('ERROR: SCANNER NETWORK OFFLINE OR CORS BLOCKED', 15, canvas.height - 25);
    }

    return canvas;
}