本文整理匯總了Python中face_recognition.face_landmarks方法的典型用法代碼示例。如果您正苦於以下問題：Python face_recognition.face_landmarks方法的具體用法？Python face_recognition.face_landmarks怎麽用？Python face_recognition.face_landmarks使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類face_recognition的用法示例。
在下文中一共展示了face_recognition.face_landmarks方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: detect_landmarks
# 需要導入模塊: import face_recognition [as 別名]
# 或者: from face_recognition import face_landmarks [as 別名]
def detect_landmarks(face_img):
landmakrs = face_recognition.face_landmarks(face_img)
return landmakrs[0] if len(landmakrs) > 0 else None 示例2: show_facial_features
# 需要導入模塊: import face_recognition [as 別名]
# 或者: from face_recognition import face_landmarks [as 別名]
def show_facial_features(image_path):
# Load the jpg file into an array
image = face_recognition.load_image_file(image_path)
# these are the features that will be detected and shown
facial_features = [
'chin',
'left_eyebrow',
'right_eyebrow',
'nose_bridge',
'nose_tip',
'left_eye',
'right_eye',
'top_lip',
'bottom_lip']
blue = ImageColor.getcolor('blue', 'RGB')
# Find all facial landmarks for all the faces in the image
face_landmarks_list = face_recognition.face_landmarks(image)
img_obj = Image.fromarray(image)
# draw lines upon facial features
for face_landmarks in face_landmarks_list:
drawing = ImageDraw.Draw(img_obj)
for facial_feature in facial_features:
drawing.line(face_landmarks[facial_feature], width=2, fill=blue)
# show image
img_obj.show() 示例3: main
# 需要導入模塊: import face_recognition [as 別名]
# 或者: from face_recognition import face_landmarks [as 別名]
def main():
closed_count = 0
video_capture = cv2.VideoCapture(0)
ret, frame = video_capture.read(0)
# cv2.VideoCapture.release()
small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
rgb_small_frame = small_frame[:, :, ::-1]
face_landmarks_list = face_recognition.face_landmarks(rgb_small_frame)
process = True
while True:
ret, frame = video_capture.read(0)
# get it into the correct format
small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
rgb_small_frame = small_frame[:, :, ::-1]
# get the correct face landmarks
if process:
face_landmarks_list = face_recognition.face_landmarks(rgb_small_frame)
# get eyes
for face_landmark in face_landmarks_list:
left_eye = face_landmark['left_eye']
right_eye = face_landmark['right_eye']
color = (255,0,0)
thickness = 2
cv2.rectangle(small_frame, left_eye[0], right_eye[-1], color, thickness)
cv2.imshow('Video', small_frame)
cv2.waitKey(1)
ear_left = get_ear(left_eye)
ear_right = get_ear(right_eye)
closed = ear_left < 0.2 and ear_right < 0.2
if (closed):
closed_count += 1
else:
closed_count = 0
if (closed_count >= EYES_CLOSED_SECONDS):
asleep = True
while (asleep): #continue this loop until they wake up and acknowledge music
print("EYES CLOSED")
if (kb.is_pressed('space')):
asleep = False
closed_count = 0
process = not process