yolov8_

from ultralytics import YOLO
from ultralytics.yolo.v8.detect.predict import DetectionPredictor
import cv2


model_path = '/Desktop/FYP/weights/last.pt'

image_path = '/Desktop/1be566eccffe9561.png'


model = YOLO(model_path)
results = model.predict(source="0", show=True)
print(results)

# img = cv2.imread(image_path)
# H, W, _ = img.shape

# 

# results = model(img)

# for result in results:
#     for j, mask in enumerate(result.masks.data):

#         mask = mask.numpy() * 255

#         mask = cv2.resize(mask, (W, H))

#         cv2.imwrite('./output.png', mask)