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face gesture.py
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face gesture.py
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import cv2
import mediapipe as mp
import time
NUM_FACE = 2
class FaceLandMarks():
def __init__(self, staticMode=False,maxFace=NUM_FACE, minDetectionCon=0.5, minTrackCon=0.5):
self.staticMode = staticMode
self.maxFace = maxFace
self.minDetectionCon = minDetectionCon
self.minTrackCon = minTrackCon
self.mpDraw = mp.solutions.drawing_utils
self.mpFaceMesh = mp.solutions.face_mesh
self.faceMesh = self.mpFaceMesh.FaceMesh(self.staticMode, self.maxFace, self.minDetectionCon, self.minTrackCon)
self.drawSpec = self.mpDraw.DrawingSpec(thickness=1, circle_radius=1)
def findFaceLandmark(self, img, draw=True):
self.imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
self.results = self.faceMesh.process(self.imgRGB)
faces = []
if self.results.multi_face_landmarks:
for faceLms in self.results.multi_face_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, faceLms, self.mpFaceMesh.FACE_CONNECTIONS, 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)
#cv2.putText(img, str(id), (x,y), cv2.FONT_HERSHEY_SIMPLEX, 0.3, (0,255,0), 1)
#print(id, x, y)
face.append([x,y])
faces.append(face)
return img, faces
def main():
cap = cv2.VideoCapture(0)
pTime = 0
detector = FaceLandMarks()
while True:
success, img = cap.read()
img, faces = detector.findFaceLandmark(img)
if len(faces)!=0:
print(len(faces))
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)
if __name__ == "__main__":
main()