Classes/Spring 2025/ENGR 490/11/3_smile_eye_detection.py

56 lines
1.9 KiB
Python

from picamera2 import Picamera2
import cv2
import os
camera = Picamera2()
preview_config = camera.create_preview_configuration(main={'size': (640, 480)})
camera.configure(preview_config)
camera.start()
if not os.path.exists("haarcascade_frontalface_default.xml"):
import urllib.request
url = "https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_default.xml"
urllib.request.urlretrieve(url, "haarcascade_frontalface_default.xml")
if not os.path.exists("haarcascade_eye.xml"):
import urllib.request
url = "https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_eye.xml"
urllib.request.urlretrieve(url, "haarcascade_eye.xml")
if not os.path.exists("haarcascade_smile.xml"):
import urllib.request
url = "https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_smile.xml"
urllib.request.urlretrieve(url, "haarcascade_smile.xml")
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
smile_cascade = cv2.CascadeClassifier('haarcascade_smile.xml')
while(1):
frame = camera.capture_array()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
gray = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
eyes = eye_cascade.detectMultiScale(gray, 1.3, 5)
smiles = smile_cascade.detectMultiScale(gray, 1.8, 20)
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
for (x, y, w, h) in eyes:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
for (x, y, w, h) in smiles:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 0, 255), 2)
cv2.imshow("Real-Time Face Detection", frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()