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# ----------------- Face Detection ----------------- def test_face_detection(): print("\n--- Testing Face Detection ---") mp_face = mp.solutions.face_detection face = mp_face.FaceDetection() img = random_image() results = face.process(cv2.cvtColor(img, cv2.COLOR_BGR2RGB)) if results.detections: print("Faces detected:", len(results.detections)) else: print("No faces detected") cv2.imshow("Face Detection", img) cv2.waitKey(1000) cv2.destroyAllWindows() #Create Face detection #576

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# ----------------- Face Detection ----------------- def test_face_detection(): print("\n--- Testing Face Detection ---") mp_face = mp.solutions.face_detection face = mp_face.FaceDetection() img = random_image() results = face.process(cv2.cvtColor(img, cv2.COLOR_BGR2RGB)) if results.detections: print("Faces detected:", len(results.detections)) else: print("No faces detected") cv2.imshow("Face Detection", img) cv2.waitKey(1000) cv2.destroyAllWindows() #Create Face detection #576

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12 changes: 12 additions & 0 deletions Face detection
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pip install mediapipe opencv-python
import cv2
import mediapipe as mp
face_detection = mp_face_detection.FaceDetection(
model_selection=0, # 0 = short range (~2m), 1 = long range (~5m)
min_detection_confidence=0.5 # threshold for accuracy
)
cap = cv2.VideoCapture(0)
while cap.isOpened():
success, frame = cap.read()
if not success:
break