39 lines
1.5 KiB
Python
39 lines
1.5 KiB
Python
import cv2
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import mediapipe as mp
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# def is_thigh_visible(image_path):
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# # 初始化MediaPipe Pose模型
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# mp_pose = mp.solutions.pose
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# pose = mp_pose.Pose(static_image_mode=True, min_detection_confidence=0.5)
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# # 读取图像
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# image = cv2.imread(image_path)
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# image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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# # 进行姿态估计
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# results = pose.process(image_rgb)
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# if not results.pose_landmarks:
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# return False # 未检测到人体
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# # 获取关键点
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# landmarks = results.pose_landmarks.landmark
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# # 检查髋部和膝盖之间的关键点（大腿部分）
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# # MediaPipe关键点索引：
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# # 23: 左髋, 24: 右髋
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# # 25: 左膝, 26: 右膝
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# # 检查左大腿是否可见（髋部和膝盖之间）
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# left_hip_visible = landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].visibility > 0.6
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# left_knee_visible = landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].visibility > 0.6
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# left_thigh_visible = left_hip_visible and left_knee_visible
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# # 检查右大腿是否可见
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# right_hip_visible = landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].visibility > 0.6
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# right_knee_visible = landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].visibility > 0.6
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# right_thigh_visible = right_hip_visible and right_knee_visible
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# return left_thigh_visible and right_thigh_visible
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# print(is_thigh_visible("/home/xsl/code/ComfyUI/change_cloth/static/imgs/fc74eded_00001_.jpg")) |