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faceMesh.py
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import cv2 as cv
import mediapipe as mp
import os
class faceMeshDetector():
def __init__(self,mode = False, maxFaces = 2, trackingCon = 0.5,detectionCon = 0.5 ):
self.detectionCon = detectionCon
self.trackingCon = trackingCon
self.maxFaces = maxFaces
self.mode = mode
self.mpDraw = mp.solutions.drawing_utils
self.mpFaceMesh = mp.solutions.face_mesh
self.faceMesh = self.mpFaceMesh.FaceMesh(maxFaces)
self.drawSpec = self.mpDraw.DrawingSpec(color = (255, 0 ,0),
thickness = 1, circle_radius = 1)
def findFaceMesh(self, img, draw = True):
imgRGB = cv.cvtColor(img, cv.COLOR_BGR2RGB)
self.results = self.faceMesh.process(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.FACEMESH_TESSELATION,
# self.drawSpec,self.drawSpec)
self.mpDraw.draw_landmarks(img, faceLms, self.mpFaceMesh.FACEMESH_CONTOURS,
self.drawSpec,self.drawSpec)
face = []
for id, lm in enumerate(faceLms.landmark):
ih, iw, ic = img.shape
x,y = int(lm.x*iw), int(lm.y*ih)
face.append([id,x,y])
faces.append(face)
return img, faces
def displayFaceMesh():
cap = cv.VideoCapture(0)
detector = faceMeshDetector()
faces = []
while True:
success, img = cap.read()
if success:
img, faces = detector.findFaceMesh(img)
#print(faces)
cv.imshow("Image", img)
k = cv.waitKey(1) & 0xFF
if k == 27:
break
else:
print("No VideoCapture Detected :C")
break;