AttributeError：模块“mediapipe.python.solutions.holistic”没有属性“FACE_CONNECTIONS”答案

【问题标题】：AttributeError: module 'mediapipe.python.solutions.holistic' has no attribute 'FACE_CONNECTIONS'AttributeError：模块“mediapipe.python.solutions.holistic”没有属性“FACE_CONNECTIONS”
【发布时间】：2021-11-04 18:33:25
【问题描述】：

需要帮助，这是我的代码：

import mediapipe as mp 

mp_drawing = mp.solutions.drawing_utils # Drawing helpers
mp_holistic = mp.solutions.holistic # Mediapipe Solutions

cap = cv2.VideoCapture(0)

# Initiate holistic model
with mp_holistic.Holistic(min_detection_confidence=0.5, min_tracking_confidence=0.5) as holistic:
    
    while cap.isOpened():
        ret, frame = cap.read()
        
        # Recolor Feed
        image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        image.flags.writeable = False        
        
        # Make Detections
        results = holistic.process(image)
        # print(results.face_landmarks)
        
        # face_landmarks, pose_landmarks, left_hand_landmarks, right_hand_landmarks
        
        # Recolor image back to BGR for rendering
        image.flags.writeable = True   
        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
        
        # 1. Draw face landmarks
        mp_drawing.draw_landmarks(image, results.face_landmarks, mp_holistic.FACE_CONNECTIONS, 
                                 mp_drawing.DrawingSpec(color=(80,110,10), thickness=1, circle_radius=1),
                                 mp_drawing.DrawingSpec(color=(80,256,121), thickness=1, circle_radius=1)
                                 )
        
        # 2. Right hand
        mp_drawing.draw_landmarks(image, results.right_hand_landmarks, mp_holistic.HAND_CONNECTIONS, 
                                 mp_drawing.DrawingSpec(color=(80,22,10), thickness=2, circle_radius=4),
                                 mp_drawing.DrawingSpec(color=(80,44,121), thickness=2, circle_radius=2)
                                 )

        # 3. Left Hand
        mp_drawing.draw_landmarks(image, results.left_hand_landmarks, mp_holistic.HAND_CONNECTIONS, 
                                 mp_drawing.DrawingSpec(color=(121,22,76), thickness=2, circle_radius=4),
                                 mp_drawing.DrawingSpec(color=(121,44,250), thickness=2, circle_radius=2)
                                 )

        # 4. Pose Detections
        mp_drawing.draw_landmarks(image, results.pose_landmarks, mp_holistic.POSE_CONNECTIONS, 
                                 mp_drawing.DrawingSpec(color=(245,117,66), thickness=2, circle_radius=4),
                                 mp_drawing.DrawingSpec(color=(245,66,230), thickness=2, circle_radius=2)
                                 )
                        
        cv2.imshow('Raw Webcam Feed', image)

        if cv2.waitKey(10) & 0xFF == ord('q'):
            break

cap.release()
cv2.destroyAllWindows()

【问题讨论】：

请注意帖子的格式。代码的样式可以很容易地看起来像代码。
这有什么问题？请阅读How to Ask。（标题中的单行错误消息是不够的。错误应该带有完整的回溯。）
请澄清您的具体问题或提供其他详细信息以准确突出您的需求。正如目前所写的那样，很难准确地说出你在问什么。

标签： python face-detection mediapipe

【解决方案1】：

我刚刚查看了https://github.com/google/mediapipe/blob/master/mediapipe/python/solutions/holistic.py的源代码

FACE_CONNECTIONS 似乎被FACEMESH_TESSELATION 重命名/替换。

只需在代码中更改该名称即可。

PS：如果你只想要脸部轮廓，现在是FACEMESH_CONTOURS

【讨论】：