Talaba: Abdisalomov Avazbek

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Talaba: Abdisalomov Avazbek
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Sana | 24.05.2024 | Hajmi | 243,23 Kb. | | #252242 |
Bog'liq 8-practice
O‘ZBEKISTON RESPUBLIKASI
RAQAMLI TEXNOLOGIYALAR VAZIRLIGI
MUHAMMAD AL‑XORAZMIY NOMIDAGI
TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI
“VIDEOMA’LUMOTLARGA RAQAMLI ISHLOV BERISH”
FANIDAN
№ 8-AMALIY MASHG‘ULOT ISHLARI
HISOBOTI
Guruh: 811-20
Talaba: Abdisalomov Avazbek
O‘qituvchi: Norkobilov Salim
Toshkent – 2024
Sun’iy intellekt yordamida yuzni hududlarga ajratish
Dastur kodi:
import cv2
import mediapipe as mp
mp_face_detection = mp.solutions.face_detection
mp_drawing = mp.solutions.drawing_utils
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_face_mesh = mp.solutions.face_mesh
drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)
cap = cv2.VideoCapture(0)
face_mesh= mp_face_mesh.FaceMesh(
max_num_faces=1,
refine_landmarks=True,
min_detection_confidence=0.5,
min_tracking_confidence=0.5)
while cap.isOpened():
success, image = cap.read()
if not success: continue
image.flags.writeable = False
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
results = face_mesh.process(image)
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
if results.multi_face_landmarks:
for face_landmarks in results.multi_face_landmarks:
mp_drawing.draw_landmarks(
image=image, landmark_list=face_landmarks,
connections=mp_face_mesh.FACEMESH_TESSELATION,
landmark_drawing_spec=None,
connection_drawing_spec=mp_drawing_styles
.get_default_face_mesh_tesselation_style())
mp_drawing.draw_landmarks(
image=image, landmark_list=face_landmarks,
connections=mp_face_mesh.FACEMESH_CONTOURS,
landmark_drawing_spec=None,
connection_drawing_spec=mp_drawing_styles
.get_default_face_mesh_contours_style())
mp_drawing.draw_landmarks(
image=image, landmark_list=face_landmarks,
connections=mp_face_mesh.FACEMESH_IRISES,
landmark_drawing_spec=None,
connection_drawing_spec=mp_drawing_styles
.get_default_face_mesh_iris_connections_style())
cv2.imshow('MediaPipe Face Mesh', cv2.flip(image, 1))
if cv2.waitKey(5) & 0xFF == 27: break
cap.release()
Dastur kodi natijasi:
Xulosa
Ushbu dastur "MediaPipe" kutubxonasidan foydalanib yuzni aniq hududlarga ajratishni amalga oshiradi.
Dasturda quyidagi ishlar bajariladi:
1. Dastur kutubxonalarni import qiladi: cv2, mediapipe.
2. "mediapipe" kutubxonasi orqali yuz aniqlash uchun kerakli funksiyalar va obyektlar import qilinadi.
3. Sozlamalar va o'lchamlar belgilanadi. Bu quyidagi obyektlarni o'z ichiga oladi:
- mp_face_detection: yuz aniqlash uchun obyekt.
- mp_drawing va mp_drawing_styles: yuzni chizish uchun obyekt va usullar.
- mp_face_mesh: yuz maydondan foydalanish uchun obyekt.
4. Kamera bilan bog'lanish (VideoCapture) amalga oshiriladi.
5. Dastur to'g'rilanib qaytadi toki kamera ochiq bo'lsa:
- success, image = cap.read() qatorida kameradan yangi rasm o'qiladi.
- Rasmni 'RGB' dan 'BGR' ga o'tkazib, yuz aniqlash uchun "face_mesh" obyekti orqali ishlatish uchun tayyorlab boriladi.
- Agar yuz topilsa, uning maydonlari va konturlari chizib yuboriladi.
- Chizish natijasini ekran ustida ko'rsatish uchun 'imshow' metodi ishlatiladi.
- 'Esc' tugmasi bosilganda dastur to'xtatiladi.
Bularning natijasida, dastur o'z ishini bajaradi va ekran ustida kamera orqali yuzni aniqlaydi, uning maydonlarini va konturlarini chizadi. Dastur tugaganda ekran yopiladi.
Ushbu dastur yuzni aniqlash va yuz maydonlarini chizish uchun "MediaPipe" kutubxonasini qo'llaydi.
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