import cv2 import numpy as np # Load the pre-trained model for face detection face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') # Load the pre-trained model for face recognition recognizer = cv2.face.LBPHFaceRecognizer_create() recognizer.read("trained_model.yml") # Load the list of people and their IDs people = ["person1", "person2", "person3"] ids = [1, 2, 3] # Open the video stream cap = cv2.VideoCapture(0) while True: # Read the frame from the video stream ret, frame = cap.read() # Convert the frame to grayscale gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # Detect faces in the grayscale frame faces = face_cascade.detectMultiScale(gray, 1.3, 5) for (x,y,w,h) in faces: # Get the ROI of the face roi_gray = gray[y:y+h, x:x+w] # Recognize the face using the pre-trained model id, confidence = recognizer.predict(roi_gray) # Draw a rectangle around the face cv2.rectangle(frame, (x,y), (x+w,y+h), (0,255,0), 2) # Add the name of the recognized person to the rectangle if confidence < 100: name = people[ids.index(id)] cv2.putText(frame, name, (x+5,y-5), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,255,0), 2) # Show the frame cv2.imshow('frame',frame) # Exit if the 'q' key is pressed if cv2.waitKey(1) & 0xFF == ord('q'): break # Release the video stream and close all windows cap.release() cv2.destroyAllWindows() Running with above coding for face recognition with opencv+python at visual code and i got error as per attached. please help how to solved it?

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter12: Points, Classes, Virtual Functions And Abstract Classes

Section: Chapter Questions

Problem 17SA

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Question

import cv2

import numpy as np

# Load the pre-trained model for face detection

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

# Load the pre-trained model for face recognition

recognizer = cv2.face.LBPHFaceRecognizer_create()

recognizer.read("trained_model.yml")

# Load the list of people and their IDs

people = ["person1", "person2", "person3"]

ids = [1, 2, 3]

# Open the video stream

cap = cv2.VideoCapture(0)

while True:

# Read the frame from the video stream

ret, frame = cap.read()

# Convert the frame to grayscale

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

# Detect faces in the grayscale frame

faces = face_cascade.detectMultiScale(gray, 1.3, 5)

for (x,y,w,h) in faces:

# Get the ROI of the face

roi_gray = gray[y:y+h, x:x+w]

# Recognize the face using the pre-trained model

id, confidence = recognizer.predict(roi_gray)

# Draw a rectangle around the face

cv2.rectangle(frame, (x,y), (x+w,y+h), (0,255,0), 2)

# Add the name of the recognized person to the rectangle

if confidence < 100:

name = people[ids.index(id)]

cv2.putText(frame, name, (x+5,y-5), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,255,0), 2)

# Show the frame

cv2.imshow('frame',frame)

# Exit if the 'q' key is pressed

if cv2.waitKey(1) & 0xFF == ord('q'):

break

# Release the video stream and close all windows

cap.release()

cv2.destroyAllWindows()

Running with above coding for face recognition with opencv+python at visual code and i got error as per attached.

please help how to solved it?

Traceback (most recent call last):
File "c:\Users\LENOVO\Desktop\facedetection1\percobaan2.py", line 9, in <module>
recognizer = cv2. face. LBPHFaceRecognizer_create()
AttributeError: module 'cv2' has no attribute 'face'

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