python使用realsense2库进行人体姿态识别代码

我可以回答这个问题。您可以使用realsense2库中的姿态跟踪器来进行人体姿态识别。以下是一个使用realsense2库进行人体姿态识别的Python代码示例：

import pyrealsense2 as rs
import numpy as np

# Configure depth and color streams
pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)

# Start streaming
pipeline.start(config)

# Create pose tracker
pose_tracker = rs.pose.Pose()

try:
    while True:
        # Wait for a coherent pair of frames: depth and color
        frames = pipeline.wait_for_frames()
        depth_frame = frames.get_depth_frame()
        color_frame = frames.get_color_frame()
        if not depth_frame or not color_frame:
            continue

        # Convert images to numpy arrays
        depth_image = np.asanyarray(depth_frame.get_data())
        color_image = np.asanyarray(color_frame.get_data())

        # Process pose
        pose_data = pose_tracker.process(depth_frame).get_pose_data()

        # Print pose data
        print("Position: ", pose_data.translation)
        print("Rotation: ", pose_data.rotation)

finally:
    # Stop streaming
    pipeline.stop()

这个代码示例使用realsense2库中的姿态跟踪器来获取人体的位置和旋转信息。您可以根据您的需求进行修改和扩展。