Cam.py

import cv2
import os
import numpy as np

detector=cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
cap=cv2.VideoCapture(0)
name=input("enter your name= ")
frames=[]
outputs=[]

while True:

    ret, frame = cap.read()

    if ret:
        faces = detector.detectMultiScale(frame)

        for face in faces:
            x, y, w, h = face

            cut = frame[y:y+h, x:x+w]

            fix = cv2.resize(cut, (100, 100))
            gray = cv2.cvtColor(fix, cv2.COLOR_BGR2GRAY)

        cv2.imshow("My Screen", frame)
        cv2.imshow("My Face", gray)

    key = cv2.waitKey(1)

    if key == ord("q"):
        break
    if key == ord("c"):
        # cv2.imwrite(name + ".jpg", frame)
        frames.append(gray.flatten())
        outputs.append([name])

X = np.array(frames)
y = np.array(outputs)

data = np.hstack([y, X])

f_name = "face_data.npy"

if os.path.exists(f_name):
    old = np.load(f_name)
    data = np.vstack([old, data])

np.save(f_name, data)

cap.release()
cv2.destroyAllWindows()