Update density calculation in image processing and enhance detection info format

app.py

@@ -158,14 +158,15 @@ def process_image(image, show_boxes=True):
     area_cm2 = (width * height * 0.0264 * 0.0264)
     density = total_knots / area_cm2 if area_cm2 > 0 else 0
     
-    cv2.putText(padded_img, f"{int(total_knots)} knots/sqcm",
+    cv2.putText(padded_img, f"{density:.2f} knots/sqcm",
                 (padding + width//2 - 100, height + padding + padding//2 + 30),
                 cv2.FONT_HERSHEY_DUPLEX, 0.7, (0, 0, 0), 2)
     
     # Prepare detection information
+    detection_info = f"Total Knots: {int(total_knots)}\n"
     detection_info += f"Rows: {len(rows)}\n"
     detection_info += f"Columns: {len(cols)}\n"
-    detection_info += f"Density: {int(total_knots)} knots/cm²"
+    detection_info += f"Density: {int(total_knots)} knots/sqcm"
     
     return padded_img, detection_info