Started working on splitOn empty/qr-/barcode

public/functions/shared/detectEmptyPages.js

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+export async function detectEmptyPages(snapshot, whiteThreashold, PDFJS, OpenCV) {
+    const pdfDoc = await PDFJS.getDocument(snapshot).promise;
+
+    const emptyPages = [];
+    for (let i = 1; i <= pdfDoc.numPages; i++) {
+        const page = await pdfDoc.getPage(i);
+        console.log("Checking page " + i);
+
+        if(!await hasText(page)) {
+            console.log(`Found text on Page ${i}, page is not empty`);
+            continue;
+        }
+
+        if(!await areImagesBlank(page, whiteThreashold)) {
+            console.log(`Found non white image on Page ${i}, page is not empty`);
+            continue;
+        }
+
+        console.log(`Page ${i} is empty.`);
+        emptyPages.push(i - 1);
+    }
+    return emptyPages;
+
+    async function hasText(page) {
+        const textContent = await page.getTextContent();
+        return textContent.items.length === 0;
+    }
+
+    async function areImagesBlank(page, threshold) {
+        const ops = await page.getOperatorList();
+    
+        for (var j=0; j < ops.fnArray.length; j++) {
+            if (ops.fnArray[j] == PDFJS.OPS.paintJpegXObject || ops.fnArray[j] == PDFJS.OPS.paintImageXObject) {
+                const image = page.objs.get(ops.argsArray[j][0]);
+                if(image.data) {
+                    return isImageBlank(image, threshold);
+                }
+            }
+        }
+        return true;
+    }
+    
+    async function isImageBlank(image, threshold) {
+        const src = new OpenCV.cv.Mat(image.width, image.height, OpenCV.cv.CV_8UC4);
+        src.data.set(image.data);
+        // Convert the image to grayscale
+        const gray = new OpenCV.cv.Mat();
+        OpenCV.cv.cvtColor(src, gray, OpenCV.cv.COLOR_RGBA2GRAY);
+    
+        // Calculate the mean value of the grayscale image
+        const meanValue = OpenCV.cv.mean(gray);
+    
+        // Free memory
+        src.delete();
+        gray.delete();
+    
+        // Check if the mean value is below the threshold
+        if (meanValue[0] <= threshold) {
+            return true;
+        } else {
+            return false;
+        }
+    }
+}