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?
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?
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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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?
Transcribed Image Text: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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