帮我用python写识别焦虑表情的代码

很高兴为您服务。这里有一些关于用Python来识别焦虑表情的代码示例，希望能够帮助您：import cv2
import numpy as np # Load the cascade
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') # Read the input image
img = cv2.imread('test.jpg') # Convert into grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # Detect faces
faces = face_cascade.detectMultiScale(gray, 1.1, 4) # Draw rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)

# Detect facial features
eyes = eye_cascade.detectMultiScale(gray, 1.3, 5) # Draw rectangle around the eyes
for (ex, ey, ew, eh) in eyes:
cv2.rectangle(img, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2)

# Detect mouth
mouth = mouth_cascade.detectMultiScale(gray, 1.3, 5) # Draw rectangle around the mouth
for (mx, my, mw, mh) in mouth:
cv2.rectangle(img, (mx, my), (mx+mw, my+mh), (0, 0, 255), 2) # Detect anxiety
anxiety = anxiety_cascade.detectMultiScale(gray, 1.3, 5) # Draw rectangle around the anxiety
for (ax, ay, aw, ah) in anxiety:
cv2.rectangle(img, (ax, ay), (ax+aw, ay+ah), (255, 255, 0), 2)

# Display the output
cv2.imshow('img', img)
cv2.waitKey()