yolov8边框坐标

使用yolov8获取边框坐标时无论有没有检测到物体都显示no objects detected

import time
import cv2
from ultralytics import YOLO
from ultralytics.utils.plotting import save_one_box as crop
import imutils
import numpy as np
import os
import shutil

model = YOLO('best.pt')

video_path ="D:/WIN_20230907_21_08_23_Pro.mp4"
cap = cv2.VideoCapture(video_path)
confi=0.2
while cap.isOpened():
    success, frame = cap.read()

    confi = round(confi, 2)
    if confi <= 0.2:
        confi = 0.2
    elif confi >= 0.8:
        confi = 0.8

    if success:
        Results = model(frame,  conf=confi, save=False, show=False)
        annotated_frame = Results[0].plot()
        cv2.imshow("YOLOv8 Tracking", annotated_frame)
        r=Results[0]

        if Results:
            if r.boxes is not None:
                obbs = r.boxes.xywhr.tolist()
                for i, obb in enumerate(obbs):
                    xc, yc, w, h, angle = obb  # Unpack the OBB
                    print(xc,yc,w,h,angle)
            else:
                print("No objects detected")

        else:
            bkg = np.ones((256, 1280, 3), dtype=np.uint8)
            bkg *= 200
            annotated_frame = np.vstack((annotated_frame, bkg))

        if cv2.waitKey(1) & 0xFF == ord("q"):
            break
    else:
        # Break the loop if the end of the video is reached
        break

    # Release the video capture object and close the display window
cap.release()
cv2.destroyAllWindows()