pyKinectAzureで関節（joint）の情報をとってくる

getJointData.py

import numpy as np
import cv2
import pykinect_azure as pykinect
if __name__ == “__main__“:
    # Initialize the library, if the library is not found, add the library path as argument
    pykinect.initialize_libraries(track_body=True)
    # Modify camera configuration
    device_config = pykinect.default_configuration
    device_config.color_resolution = pykinect.K4A_COLOR_RESOLUTION_OFF
    device_config.depth_mode = pykinect.K4A_DEPTH_MODE_WFOV_2X2BINNED
    #print(device_config)
    # Start device
    device = pykinect.start_device(config=device_config)
    # Start body tracker
    bodyTracker = pykinect.start_body_tracker()
    cv2.namedWindow(‘Depth image with skeleton’,cv2.WINDOW_NORMAL)
    while True:
        # Get capture
        capture = device.update()
        # Get body tracker frame
        body_frame = bodyTracker.update()
        # Get the color depth image from the capture
        ret_depth, depth_color_image = capture.get_colored_depth_image()
        # Get the colored body segmentation
        ret_color, body_image_color = body_frame.get_segmentation_image()
        if not ret_depth or not ret_color:
            continue
        # Combine both images
        combined_image = cv2.addWeighted(depth_color_image, 0.6, body_image_color, 0.4, 0)
        # Draw the skeletons
        combined_image = body_frame.draw_bodies(combined_image)
        # Get body information
        bodies = body_frame.get_bodies()
        # Get body information
        bodies = body_frame.get_bodies()
        # Access joint positions
        for body in bodies:
            for joint in body.joints:
                nose_joint = body.joints[pykinect.K4ABT_JOINT_NOSE]
                position = joint.position
                # Use position.x, position.y, position.z to access the x, y, z coordinates of the joint
                print(“nose positionだよ“, position.x,position.y)
        # Overlay body segmentation on depth image
        cv2.imshow(‘Depth image with skeleton’,combined_image)
        # Press q key to stop
        if cv2.waitKey(1) == ord(‘q’):
            break