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__init__.py
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__init__.py
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# ©2023 PyJs
import os
try:
import cv2
except:
os.system("pip3 install opencv-python")
import cv2
print("THIS USES CV2. RUN \"pip uninstall opencv-python\" TO UNINSTALL.")
# Initialize a list to store enrolled faces
enrolled_faces = []
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
def scan_face():
cap = cv2.VideoCapture(0)
ret, frame = cap.read()
return frame
def enroll_face():
frame=scan_face()
global enrolled_faces
# Convert the frame to grayscale for face detection
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Detect faces in the frame
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
if len(faces) > 0:
for (x, y, w, h) in faces:
# Crop and store each enrolled face
enrolled_faces.append(frame[y:y+h, x:x+w])
return True
else:
return False
# Function to match a face
def is_match():
global enrolled_faces
frame=scan_face()
# Convert the frame to grayscale for face detection
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Detect faces in the frame
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
if len(faces) > 0:
for (x, y, w, h) in faces:
# Crop the detected face for comparison
detected_face = frame[y:y+h, x:x+w]
# Check if the detected face matches any of the enrolled faces
for enrolled_face in enrolled_faces:
if reuowg_w(enrolled_face, detected_face):
return True
return False
# Function to compare faces (a basic image comparison)
def reuowg_w(face1, face2):
# Resize the images to the same size
face1 = cv2.resize(face1, (200, 200))
face2 = cv2.resize(face2, (200, 200))
diff = cv2.absdiff(face1, face2)
mean_diff = diff.mean()
return mean_diff < 50