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06_face_mask.py
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06_face_mask.py
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###############################################################################
### Simple demo with video input of face
### Input : Live video of face
### Output: Overlay 3D face mesh on image
###############################################################################
import cv2
import time
from utils_display import DisplayFaceMask
from utils_mediapipe import MediaPipeFace
# Load mediapipe class
pipe = MediaPipeFace(static_image_mode=False, max_num_faces=1)
# Start video capture
cap = cv2.VideoCapture(0) # By default webcam is index 0
# Load display class
ret, img = cap.read(0) # Read in a sample image
disp = DisplayFaceMask(img=img, draw3d=True, max_num_faces=1)
prev_time = time.time()
while cap.isOpened():
ret, img = cap.read()
if not ret:
break
# Preprocess image if necessary
# img = cv2.flip(img, 1) # Flip image for 3rd person view
# img = cv2.resize(img, None, fx=0.5, fy=0.5)
# To improve performance, optionally mark image as not writeable to pass by reference
img.flags.writeable = False
# Feedforward to extract keypoint
param = pipe.forward(img)
# Compute FPS
curr_time = time.time()
fps = 1/(curr_time-prev_time)
param[0]['fps'] = fps
prev_time = curr_time
img.flags.writeable = True
cv2.imshow('img', img)
# Display 3D
img = disp.draw3d(param, img)
key = cv2.waitKey(1)
if key==27:
break
pipe.pipe.close()
cap.release()