import cv2
import mediapipe as mp

def is_thigh_visible(image_path):
    # 初始化MediaPipe Pose模型
    mp_pose = mp.solutions.pose
    pose = mp_pose.Pose(static_image_mode=True, min_detection_confidence=0.5)
    
    # 读取图像
    image = cv2.imread(image_path)
    image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    
    # 进行姿态估计
    results = pose.process(image_rgb)
    
    if not results.pose_landmarks:
        return False  # 未检测到人体
    
    # 获取关键点
    landmarks = results.pose_landmarks.landmark
    
    # 检查髋部和膝盖之间的关键点（大腿部分）
    # MediaPipe关键点索引：
    # 23: 左髋, 24: 右髋
    # 25: 左膝, 26: 右膝
    
    # 检查左大腿是否可见（髋部和膝盖之间）
    left_hip_visible = landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].visibility > 0.6
    left_knee_visible = landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].visibility > 0.6
    left_thigh_visible = left_hip_visible and left_knee_visible
    
    # 检查右大腿是否可见
    right_hip_visible = landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].visibility > 0.6
    right_knee_visible = landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].visibility > 0.6
    right_thigh_visible = right_hip_visible and right_knee_visible
    
    return left_thigh_visible and right_thigh_visible

print(is_thigh_visible("/home/szlc/code/ComfyUI/change_cloth/static/imgs/fc74eded_00001_.jpg"))