yolov8 iou
时间: 2023-09-07 07:11:21 浏览: 236
Yolov8中的IOU(Intersection over Union)方法有三种选择:GIoU(Generalized IoU)、DIoU(Distance IoU)和CIoU(Complete IoU)。其中,默认选择的是CIoU。除此之外,还有一种名为Wise-IoU的IOU方法。
在使用OpenCV和YOLOv8进行视频推理时,可以使用以下代码:
import cv2
from ultralytics import YOLO
# 加载YOLOv8模型
model = YOLO('yolov8n.pt')
# 打开视频文件
video_path = "path/to/your/video/file.mp4"
cap = cv2.VideoCapture(video_path)
# 循环遍历视频帧
while cap.isOpened():
# 从视频中读取一帧
success, frame = cap.read()
if success:
# 在帧上运行YOLOv8推理
results = model(frame)
# 在帧上可视化结果
annotated_frame = results.plot()
# 显示可视化的帧
cv2.imshow("YOLOv8 Inference", annotated_frame)
# 如果按下键盘上的'q'键,则退出循环
if cv2.waitKey(1) & 0xFF == ord("q"):
break
else:
# 如果视频播放结束,则退出循环
break
# 释放视频捕获对象并关闭显示窗口
cap.release()
cv2.destroyAllWindows()
以上是关于使用OpenCV和YOLOv8在视频帧上运行推理的代码示例。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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