jupyter调用摄像头识别摄像头视频中图像人脸和眼睛,分别用矩形和圆形框出来
时间: 2024-02-18 12:59:14 浏览: 37
好的,这个问题需要用到一些Python库,包括OpenCV、numpy和matplotlib。下面是代码实现:
```python
import cv2
import numpy as np
import matplotlib.pyplot as plt
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
cv2.rectangle(frame, (x,y), (x+w,y+h), (255,0,0), 2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,eh) in eyes:
cv2.circle(roi_color, (ex+int(ew/2), ey+int(eh/2)), int(eh/2), (0,255,0), 2)
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
```
这段代码实现了从摄像头中读取视频流,检测其中的人脸和眼睛,并用矩形和圆形框出来。其中,`face_cascade`和`eye_cascade`是通过Haar特征的级联分类器,用于检测人脸和眼睛的模型。`cv2.rectangle`和`cv2.circle`分别用于绘制矩形和圆形框。最后,通过`cv2.imshow`将带有框的视频流显示出来。