YOLO11解决方案之VisonEye对象映射

概述

Ultralytics提供了一系列的解决方案，利用YOLO11解决现实世界的问题，包括物体计数、模糊处理、热力图、安防系统、速度估计、物体追踪等多个方面的应用。

VisionEye 可让计算机模拟人眼的观察角度，识别并精确定位物体。这一功能使计算机能够辨别并聚焦于特定物体，就像人眼从特定视角观察细节一样。

演示代码

Ultralytics提供了演示代码，展示如何使用VsionEye解决方案。

import cv2from ultralytics import solutionscap = cv2.VideoCapture("path/to/video.mp4")
assert cap.isOpened(), "Error reading video file"# Video writer
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
video_writer = cv2.VideoWriter("visioneye_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))# Initialize vision eye object
visioneye = solutions.VisionEye(show=True,  # display the outputmodel="yolo11n.pt",  # use any model that Ultralytics support, i.e, YOLOv10classes=[0, 2],  # generate visioneye view for specific classesvision_point=(50, 50),  # the point, where vision will view objects and draw tracks
)# Process video
while cap.isOpened():success, im0 = cap.read()if not success:print("Video frame is empty or video processing has been successfully completed.")breakresults = visioneye(im0)print(results)  # access the outputvideo_writer.write(results.plot_im)  # write the video filecap.release()
video_writer.release()
cv2.destroyAllWindows()  # destroy all opened windows

VisionEye参数

基本参数