YoloV8 Segmentation mask problem (masks looks 2 parts but outputs only first part)

Question

My code is as shown below:

import numpy as np
from ultralytics import YOLO
from PIL import Image
import cv2
from google.colab.patches import cv2_imshow


model = YOLO("yolov8n-seg.pt")
results = model.predict("payload.jpeg")

masks = results[0].masks  # Masks object

H,W,_ = cv2.imread("payload.jpeg").shape

x = (results[0].masks.segments[0][:,0]*W).astype("int")
y = (results[0].masks.segments[0][:,1]*H).astype("int")
blk=np.zeros((H,W))
blk[y,x] =255
cv2_imshow(blk.astype("uint8"))

here is: payload.jpeg

this is the output

As you can see tree splits mask into 2 parts but I can only access first part.

cv2_imshow result:

How can I get the second part of the mask?

I tried getting length of masks but always get 1. I think it should be 2 or my approach is wrong.