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FaceMeshModule.py
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FaceMeshModule.py
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import cv2
import mediapipe as mp
import time
import numpy
class FaceMeshDetector():
def __init__(self,staticMode=False,maxFaces=10,minDetectionCon=0.5,
minTrackCon=0.5):
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(self.staticMode,self.maxFaces,
self.minDetectionCon,
self.minTrackCon)
self.drawSpec = self.mpDraw.DrawingSpec(thickness=1, circle_radius=1)
def findFaceMesh(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_PLAIN,
# 0.6, (0, 255, 0), 1)
# print(id, x, y)
face.append([x,y])
faces.append(face)
return img,faces
def main():
cap = cv2.VideoCapture("PoseVideos/kgf_Trim (5).mp4") # "PoseVideos/kgf_Trim (5).mp4"
pTime = 0
detector=FaceMeshDetector()
while True:
success, img = cap.read()
img,faces=detector.findFaceMesh(img)
if len(faces)!=0:
print((faces))
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, f'FPS:{int(fps)}', (20, 70),
cv2.FONT_HERSHEY_PLAIN,
3, (0, 255, 0), 3)
cv2.imshow("Image", img)
cv2.waitKey(10)
if __name__=="__main__":
main()