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FacialLandmarkDetection.py
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FacialLandmarkDetection.py
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import cv2
import mediapipe as mp
import time
cap = cv2.VideoCapture(0)
pTime = 0
NUM_FACE = 2
mpDraw = mp.solutions.drawing_utils
mpFaceMesh = mp.solutions.face_mesh
faceMesh = mpFaceMesh.FaceMesh(max_num_faces=NUM_FACE)
drawSpec = mpDraw.DrawingSpec(thickness=1, circle_radius=1)
while True:
success, img = cap.read()
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
results = faceMesh.process(imgRGB)
if results.multi_face_landmarks:
for faceLms in results.multi_face_landmarks:
mpDraw.draw_landmarks(img, faceLms,mpFaceMesh.FACE_CONNECTIONS, drawSpec, drawSpec)
for id,lm in enumerate(faceLms.landmark):
#print(lm)
ih, iw, ic = img.shape
x,y = int(lm.x*iw), int(lm.y*ih)
print(id, x,y)
cTime = time.time()
fps = 1/(cTime-pTime)
pTime = cTime
cv2.putText(img, f'FPS:{int(fps)}', (20,70), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,255,0), 2)
cv2.imshow("Test", img)
cv2.waitKey(1)