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<html lang="en"> <head> <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.9.0/p5.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.9.0/addons/p5.sound.min.js"></script> <script async src="https://docs.opencv.org/master/opencv.js" onload="cv.onRuntimeInitialized = doOpenCVOperations;"></script> <link rel="stylesheet" type="text/css" href="style.css"> <meta charset="utf-8" /> </head> <body> <main> <input type="file" onchange="handleFile(this.files[0])"> </main> <script > let correctImages = []; // Array to store correct imageslet uploadedImage; // Variable to store uploaded imagefunction preload() { // Preload correct images, for example: correctImages.push(loadImage('drill.jpg')); correctImages.push(loadImage('stand.jpg')); // Add as many as you have}// Assuming correctImages are loaded/preloaded elsewhere in your setupfunction handleFile(file) { if (file.type === 'image') { let uploadedImage = loadImage(file.data, () => { compareWithCorrectImages(uploadedImage); }); } else { console.log('Not an image file!'); }}function setup() { createCanvas(400, 400); // Set up any necessary p5.js settings}function draw() { // Optionally, draw something related to your app}function handleFile(file) { // Function to handle the uploaded file if (file.type === 'image') { uploadedImage = loadImage(file.data, () => { image(uploadedImage, 0, 0, width, height); // You can now compare this image with the correctImages array compareWithCorrectImages(uploadedImage); }); } else { console.log('Not an image file!'); }}function compareWithCorrectImages(uploadedImage) { // Convert uploadedImage and each correct image into OpenCV Mat let uploadedImgMat = cv.imread(uploadedImage); correctImages.forEach((correctImage, index) => { let correctImgMat = cv.imread(correctImage); // Convert images to grayscale for comparison let uploadedGray = new cv.Mat(); let correctGray = new cv.Mat(); cv.cvtColor(uploadedImgMat, uploadedGray, cv.COLOR_RGBA2GRAY, 0); cv.cvtColor(correctImgMat, correctGray, cv.COLOR_RGBA2GRAY, 0); // You might calculate histograms here and compare them using cv.compareHist() // Or use another comparison method based on your criteria for "manipulation" // Example: Calculate and compare histograms (highly simplified) let histUploaded = calculateHistogram(uploadedGray); let histCorrect = calculateHistogram(correctGray); let similarity = cv.compareHist(histUploaded, histCorrect, cv.HISTCMP_CORREL); console.log(`Similarity with image ${index}:`, similarity); // Clean up resources to avoid memory leaks uploadedGray.delete(); correctGray.delete(); }); // Cleanup uploadedImgMat.delete();}function calculateHistogram(imageMat) { // Placeholder for histogram calculation // You would need to implement histogram calculation here return new cv.Mat(); // Simplified return, implement accordingly}</script> </body></html>