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FaceMeshModule.py
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65 lines (57 loc) · 2.26 KB
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import cv2
import mediapipe as mp
import time
class FaceMeshDetector:
def __init__(self, static_image_mode=True, max_num_faces=1,
refine_landmarks=True, min_detection_confidence=0.5):
self.static_image_mode = static_image_mode
self.max_num_faces = max_num_faces
self.refine_landmarks = refine_landmarks
self.min_detection_confidence = min_detection_confidence
self.mpDraw = mp.solutions.drawing_utils
self.mpFaceMesh = mp.solutions.face_mesh
self.faceMesh = self.mpFaceMesh.FaceMesh(
static_image_mode=self.static_image_mode,
max_num_faces=self.max_num_faces,
refine_landmarks=self.refine_landmarks,
min_detection_confidence=self.min_detection_confidence
)
self.drawSpec = self.mpDraw.DrawingSpec(thickness=1, circle_radius=2)
def findFaceMesh(self, img, draw=True):
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
results = self.faceMesh.process(imgRGB)
faces = []
if results.multi_face_landmarks:
for faceLms in results.multi_face_landmarks:
if draw:
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([x, y])
faces.append(face)
return img, faces
def main():
cap = cv2.VideoCapture("D:/Codes/ComputerVision/Poses/muslimface.mp4")
pTime = 0
detector = FaceMeshDetector()
while True:
success, img = cap.read()
img, faces = detector.findFaceMesh(img)
if len(faces) != 0:
print(faces[0])
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(1)
if __name__ == "__main__":
main()