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我正在打哈欠檢測項目,我正在使用dlib和opencv來檢測視頻中的臉部和地標。如何使用dlib獲取眼睛和嘴巴的長度
我想要得到眼睛和嘴巴的長度。
這是我做了什麼至今
import sys
import os
import dlib
import glob
from skimage import io
import cv2
import time
if len(sys.argv) != 3:
print("")
exit()
predictor_path = sys.argv[1]
faces_folder_path = sys.argv[2]
vidcap = cv2.VideoCapture('video.avi')
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(predictor_path)
win = dlib.image_window()
while vidcap.isOpened():
success, image = vidcap.read()
if success:
win.clear_overlay()
win.set_image(image)
# Ask the detector to find the bounding boxes of each face. The 1 in the
# second argument indicates that we should upsample the image 1 time. This
# will make everything bigger and allow us to detect more faces.
dets = detector(image, 1)
print("Number of faces detected: {}".format(len(dets)))
for k, d in enumerate(dets):
print("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format(
k, d.left(), d.top(), d.right(), d.bottom()))
# Get the landmarks/parts for the face in box d.
shape = predictor(image, d)
print(shape)
print("Part 0: {}, Part 1: {},Part 2: {} ...".format(shape.part(0),shape.part(1),shape.part(2)))
# Draw the face landmarks on the screen.
win.add_overlay(shape)
win.add_overlay(dets)
time.sleep(0.01)
cv2.destroyAllWindows()
vidcap.release()
請幫我怎麼去開眼睛和嘴的長度。
爲什麼不衡量shape.part的之間的距離? – Evgeniy