I have generated a .npz file which Have the face embeddings and I can recognise faces from images but I can't implement in real time.
Here is the code that I'm trying :
`import cv2 import numpy as np from mtcnn import MTCNN import tensorflow as tf
detector = MTCNN()`
Load the FaceNet model
model = tf.keras.applications.ResNet50(weights='imagenet')
Load the .npz file containing the embeddings
npzfile = np.load('test-embeddings.npz') embeddings = npzfile['embeddings']
Create a video capture object
cap = cv2.VideoCapture(0)
`while True: # Get the next frame from the video ret, frame = cap.read()
# Detect faces in the frame
faces = detector.detect_faces(frame)
# Loop over the detected faces
for face in faces:
x,y,w,h = face['box']
# Extract the face region from the frame
face = frame[y:y + h, x:x + w]
# Preprocess the face image
face = cv2.resize(face, (224, 224))
face = face.astype('float32') / 255.0
face = np.expand_dims(face, axis=0)
# Extract the embedding of the face
embedding = model.predict(face)
# Find the closest match to the embedding in the .npz file
best_match = np.argmin(np.linalg.norm(embeddings-embedding, axis=1))
# Display the name of the person corresponding to the closest match on the screen
cv2.putText(frame, npzfile['names'][best_match], (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
# Display the frame on the screen
cv2.imshow('Face Recognition', frame)
# If the user presses the `q` key, stop the loop
if cv2.waitKey(1) == ord('q'):
break`
Release the video capture object
cap.release()
Close all open windows
cv2.destroyAllWindows()
but ist's showing errors like:
File "c:\Users\User\Desktop\MTCNN_Face_Detection-in-real_time-and-images-with-fecial-land-marks--main\real-time-facenet.py", line 13, in <module> embeddings = npzfile['embeddings'] ~~~~~~~^^^^^^^^^^^^^^ File "C:\Users\User\AppData\Roaming\Python\Python311\site-packages\numpy\lib\npyio.py", line 260, in __getitem__ raise KeyError("%s is not a file in the archive" % key) KeyError: 'embeddings is not a file in the archive'
