Facial recognition script | Large range of recognition angle | CV4

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

face_cascade = cv2.CascadeClassifier(
cv2.data.haarcascades + "haarcascade_frontalface_default.xml")

my_face_saved = False
my_face_position = None
my_face_area = None

while True:
_, frame = cap.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(
gray,
scaleFactor=1.05,
minNeighbors=3,
minSize=(20, 20),
flags=cv2.CASCADE_SCALE_IMAGE
)

if not my_face_saved and len(faces) > 0:
my_face_position = faces[0]
mx, my, mw, mh = my_face_position
my_face_area = mw * mh
my_face_saved = True
print("Ваше лицо сохранено! Нажмите 'r' для сброса.")

owner_found = False

for (x, y, width, height) in faces:
if my_face_saved:
mx, my, mw, mh = my_face_position
current_area = width * height

center_match = (abs((x + width/2) - (mx + mw/2)) < 150 and
abs((y + height/2) - (my + mh/2)) < 150)

area_ratio = current_area / my_face_area
area_match = 0.3 < area_ratio < 2.0

if center_match and area_match:
color = (0, 0, 255)
owner_found = True

alpha = 0.7
new_x = int(alpha * x + (1 - alpha) * mx)
new_y = int(alpha * y + (1 - alpha) * my)
new_w = int(alpha * width + (1 - alpha) * mw)
new_h = int(alpha * height + (1 - alpha) * mh)
my_face_position = (new_x, new_y, new_w, new_h)
my_face_area = new_w * new_h
else:
color = (255, 0, 0)
else:
color = (255, 0, 0)

cv2.rectangle(frame, (x, y), (x + width, y + height), color, 3)

if my_face_saved and not owner_found:
cv2.putText(frame, "Owner not found", (10, 30),
cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)

cv2.imshow("Camera", frame)

key = cv2.waitKey(1)
if key == ord('q'):
break
elif key == ord('r'):
my_face_saved = False
my_face_position = None
my_face_area = None
print("Сохраненное лицо сброшено!")

cap.release()
cv2.destroyAllWindows()

Python

import cv2

import numpy as np



cap = cv2.VideoCapture(0)



face_cascade = cv2.CascadeClassifier(

    cv2.data.haarcascades + "haarcascade_frontalface_default.xml")



my_face_saved = False

my_face_position = None

my_face_area = None



while True:

    _, frame = cap.read()



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

    faces = face_cascade.detectMultiScale(

        gray,

        scaleFactor=1.05,

        minNeighbors=3,

        minSize=(20, 20),

        flags=cv2.CASCADE_SCALE_IMAGE

    )



    if not my_face_saved and len(faces) > 0:

        my_face_position = faces[0]

        mx, my, mw, mh = my_face_position

        my_face_area = mw * mh

        my_face_saved = True

        print("Ваше лицо сохранено! Нажмите 'r' для сброса.")



    owner_found = False



    for (x, y, width, height) in faces:

        if my_face_saved:

            mx, my, mw, mh = my_face_position

            current_area = width * height

            

            center_match = (abs((x + width/2) - (mx + mw/2)) < 150 and

                          abs((y + height/2) - (my + mh/2)) < 150)

            

            area_ratio = current_area / my_face_area

            area_match = 0.3 < area_ratio < 2.0

            

            if center_match and area_match:

                color = (0, 0, 255)

                owner_found = True

                

                alpha = 0.7

                new_x = int(alpha * x + (1 - alpha) * mx)

                new_y = int(alpha * y + (1 - alpha) * my)

                new_w = int(alpha * width + (1 - alpha) * mw)

                new_h = int(alpha * height + (1 - alpha) * mh)

                my_face_position = (new_x, new_y, new_w, new_h)

                my_face_area = new_w * new_h

            else:

                color = (255, 0, 0)

        else:

            color = (255, 0, 0)

            

        cv2.rectangle(frame, (x, y), (x + width, y + height), color, 3)



    if my_face_saved and not owner_found:

        cv2.putText(frame, "Owner not found", (10, 30),

                    cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)



    cv2.imshow("Camera", frame)



    key = cv2.waitKey(1)

    if key == ord('q'):

        break

    elif key == ord('r'):

        my_face_saved = False

        my_face_position = None

        my_face_area = None

        print("Сохраненное лицо сброшено!")



cap.release()

cv2.destroyAllWindows()

Скрипт при запуске берёт ваше лицо и целит распознавание на него
Соррян за кривой код​