student_data = {"Alice": {"age": 22, "major": "Computer Science"},
"Bob": {"age": 23, "major": "Information Technology"}}
def get_student_info(name):
if name in student_data:
return f"Name: {name}, Age: {student_data[name]['age']}, Major: {student_data[name]['major']}"
else:
return "Student not found."
print(get_student_info("Alice"))
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
img = cv2.imread('students.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.1, 4)
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
cv2.imshow('img', img)
cv2.waitKey()