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faceMeshModule.py
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67 lines (57 loc) · 2.26 KB
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import mediapipe as mp
import cv2
import time
class FaceMeshDetector():
def __init__(self,staticMode=False, maxfaces=10, minDetectionCon=0.5, minTrackCon=0.1):
self.staticMode= staticMode
self.maxFaces=maxfaces
self.minDetectionCon=minDetectionCon
self.mintrackCon = minTrackCon
self.mpDraw = mp.solutions.drawing_utils
self.mpFaceMesh=mp.solutions.face_mesh
self.faceMesh = self.mpFaceMesh.FaceMesh(
static_image_mode=self.staticMode,
max_num_faces=self.maxFaces,
min_detection_confidence=self.minDetectionCon,
min_tracking_confidence=self.mintrackCon
)
self.drawSpec = self.mpDraw.DrawingSpec(color=(0,255,0),thickness=1, circle_radius=1)
def findFaceMesh(self, img, draw=True):
self.imgRGB= cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
self.result = self.faceMesh.process(self.imgRGB)
faces=[]
if self.result.multi_face_landmarks:
for faceLms in self.result.multi_face_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, faceLms, self.mpFaceMesh.FACEMESH_TESSELATION,self.drawSpec,self.drawSpec)
face=[]
for id,lm in enumerate (faceLms.landmark):
#print(lm)
ih, iw, ic=img.shape
x,y=int(lm.x*iw),int(lm.y*ih)
face.append([x,y])
faces.append(face)
return img, faces
def main():
cap=cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1440)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)
cap.set(cv2.CAP_PROP_FPS, 30)
pTime=0
detector = FaceMeshDetector()
while True:
success, img = cap.read()
img,faces = detector.findFaceMesh(img,True)
if len(faces)!=0:
print(f'Faces detected: {len(faces)}')
for face in faces:
for point in face[:1]:
print(f'Landmark: {point}')
cTime = time.time()
fps = 1/(cTime-pTime)
pTime=cTime
cv2.putText(img,f'FPS:{(int(fps))}',(0,35),cv2.FONT_HERSHEY_PLAIN,3,(0,255,0),2)
cv2.imshow("Image",img)
cv2.waitKey(1)
if __name__=="__main__":
main()