Mediapipe姿态检测模块报错：create_bool()参数类型不兼容求助

问题描述 #

开发姿态检测模块时，封装代码后运行触发TypeError: create_bool(): incompatible function arguments错误，怀疑与变量声明或参数传递有关。以下是完整代码：

import cv2
import mediapipe as mp
import time


class poseDetector():

    def __init__(self, mode=False, upBody=False, smooth=True, detectionCon=0.5, trackCon=0.5):
        self.mode = mode
        self.upBody = upBody
        self.smooth = smooth
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpPose = mp.solutions.pose
        self.mpDraw = mp.solutions.drawing_utils
        self.pose = self.mpPose.Pose(self.mode, self.upBody, self.smooth, self.detectionCon, self.trackCon)

    def findPose(self, img, draw=True):
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        results = self.pose.process(imgRGB)
        if results.pose_landmarks:
            if draw:
                self.mpDraw.draw_landmarks(img, results.pose_landmarks, self.mpPose.POSE_CONNECTIONS)
        return img


def main():
    cap = cv2.VideoCapture("squats.mp4")
    ptime = 0
    detector = poseDetector()

    while True:
        success, img = cap.read()
        img = detector.findPose(img)

        ctime = time.time()
        fps = 1 / (ctime - ptime)
        ptime = ctime

        cv2.putText(img, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3)
        cv2.imshow("Image", img)
        cv2.waitKey(1)


if __name__ == "__main__":
    main()

报错信息 #

"C:\Users\213353\Desktop\Ambaka\Coding\Computer Vision\venv\Scripts\python.exe" "C:\Users\213353\Desktop\Ambaka\Coding\Computer Vision\PoseModule.py" 
Traceback (most recent call last):
  File "C:\Users\213353\Desktop\Ambaka\Coding\Computer Vision\PoseModule.py", line 52, in <module>
    main()
  File "C:\Users\213353\Desktop\Ambaka\Coding\Computer Vision\PoseModule.py", line 36, in main
    detector = poseDetector()
  File "C:\Users\213353\Desktop\Ambaka\Coding\Computer Vision\PoseModule.py", line 18, in __init__
    self.pose = self.mpPose.Pose(self.mode, self.upBody, self.smooth, self.detectionCon, self.trackCon, self.modelComplex)
  File "C:\Users\213353\Desktop\Ambaka\Coding\Computer Vision\venv\lib\site-packages\mediapipe\python\solutions\pose.py", line 146, in __init__
    super().__init__(
  File "C:\Users\213353\Desktop\Ambaka\Coding\Computer Vision\venv\lib\site-packages\mediapipe\python\solution_base.py", line 290, in __init__
    self._input_side_packets = {
  File "C:\Users\213353\Desktop\Ambaka\Coding\Computer Vision\venv\lib\site-packages\mediapipe\python\solution_base.py", line 291, in <dictcomp>
    name: self._make_packet(self._side_input_type_info[name], data)
  File "C:\Users\213353\Desktop\Ambaka\Coding\Computer Vision\venv\lib\site-packages\mediapipe\python\solution_base.py", line 593, in _make_packet
    return getattr(packet_creator, 'create_' + packet_data_type.value)(data)
TypeError: create_bool(): incompatible function arguments. The following argument types are supported:
    1. (arg0: bool) -> mediapipe.python._framework_bindings.packet.Packet

Invoked with: 0.5

错误原因 #

报错核心是参数传递位置不匹配：按位置传递的detectionCon=0.5被传入了MediaPipe Pose构造函数中需要布尔值的参数位置（比如enable_segmentation），导致类型转换失败。此外，upBody参数在新版MediaPipe中已被移除，替换为model_complexity，这也是参数混乱的原因之一。

解决方法 #

1. 使用关键字参数传递，避免位置错误 #

直接指定参数名，确保每个值对应正确的参数：

self.pose = self.mpPose.Pose(
    static_image_mode=self.mode,
    model_complexity=1,  # 0=轻量，1=标准，2=高精度，替代原upBody逻辑
    smooth_landmarks=self.smooth,
    min_detection_confidence=self.detectionCon,
    min_tracking_confidence=self.trackCon
)

2. 更新类的初始化参数 #

移除过时的upBody参数，替换为符合新版MediaPipe的参数：

def __init__(self, mode=False, model_complexity=1, smooth=True, detectionCon=0.5, trackCon=0.5):
    self.mode = mode
    self.model_complexity = model_complexity
    self.smooth = smooth
    self.detectionCon = detectionCon
    self.trackCon = trackCon

    self.mpPose = mp.solutions.pose
    self.mpDraw = mp.solutions.drawing_utils
    self.pose = self.mpPose.Pose(
        static_image_mode=self.mode,
        model_complexity=self.model_complexity,
        smooth_landmarks=self.smooth,
        min_detection_confidence=self.detectionCon,
        min_tracking_confidence=self.trackCon
    )

3. 验证参数类型 #

确保所有参数类型与MediaPipe要求一致：

• static_image_mode：布尔值
• model_complexity：整数（0/1/2）
• smooth_landmarks：布尔值
• min_detection_confidence：浮点数（0-1）
• min_tracking_confidence：浮点数（0-1）

修改后的完整代码 #

import cv2
import mediapipe as mp
import time


class poseDetector():

    def __init__(self, mode=False, model_complexity=1, smooth=True, detectionCon=0.5, trackCon=0.5):
        self.mode = mode
        self.model_complexity = model_complexity
        self.smooth = smooth
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpPose = mp.solutions.pose
        self.mpDraw = mp.solutions.drawing_utils
        self.pose = self.mpPose.Pose(
            static_image_mode=self.mode,
            model_complexity=self.model_complexity,
            smooth_landmarks=self.smooth,
            min_detection_confidence=self.detectionCon,
            min_tracking_confidence=self.trackCon
        )

    def findPose(self, img, draw=True):
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        results = self.pose.process(imgRGB)
        if results.pose_landmarks:
            if draw:
                self.mpDraw.draw_landmarks(img, results.pose_landmarks, self.mpPose.POSE_CONNECTIONS)
        return img


def main():
    cap = cv2.VideoCapture("squats.mp4")
    ptime = 0
    detector = poseDetector()

    while True:
        success, img = cap.read()
        if not success:
            break  # 处理视频结束的情况
        img = detector.findPose(img)

        ctime = time.time()
        fps = 1 / (ctime - ptime) if (ctime - ptime) != 0 else 0
        ptime = ctime

        cv2.putText(img, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3)
        cv2.imshow("Image", img)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break  # 按q退出循环

    cap.release()
    cv2.destroyAllWindows()


if __name__ == "__main__":
    main()

内容的提问来源于stack exchange，提问作者Ambaka Le Gregam