text: import sys
  sys.path.insert(1, '../pyKinectAzure/')
  
  import numpy as np
  from pyKinectAzure import pyKinectAzure, _k4a
  import cv2
  
  # Path to the module
  # TODO: Modify with the path containing the k4a.dll from the Azure Kinect SDK
  modulePath = 'C:\\Program Files\\Azure Kinect SDK v1.4.1\\sdk\\windows-desktop\\amd64\\release\\bin\\k4a.dll' 
  # under x86_64 linux please use r'/usr/lib/x86_64-linux-gnu/libk4a.so'
  # In Jetson please use r'/usr/lib/aarch64-linux-gnu/libk4a.so'
  
  if __name__ == "__main__":
  
  	# Initialize the library with the path containing the module
  	pyK4A = pyKinectAzure(modulePath)
  
  	# Open device
  	pyK4A.device_open()
  
  	# Modify camera configuration
  	device_config = pyK4A.config
  	device_config.color_resolution = _k4a.K4A_COLOR_RESOLUTION_1080P
  	print(device_config)
  
  	# Start cameras using modified configuration
  	pyK4A.device_start_cameras(device_config)
  
  	k = 0
  	while True:
  		# Get capture
  		pyK4A.device_get_capture()
  
  		# Get the color image from the capture
  		color_image_handle = pyK4A.capture_get_color_image()
  
  		# Check the image has been read correctly
  		if color_image_handle:
  
  			# Read and convert the image data to numpy array:
  			color_image = pyK4A.image_convert_to_numpy(color_image_handle)
  
  			# Plot the image
  			cv2.namedWindow('Color Image',cv2.WINDOW_NORMAL)
  			cv2.imshow("Color Image",color_image)
  			k = cv2.waitKey(1)
  
  			# Release the image
  			pyK4A.image_release(color_image_handle)
  
  		pyK4A.capture_release()
  
  		if k==27:    # Esc key to stop
  			break
  
  	pyK4A.device_stop_cameras()
  	pyK4A.device_close()
  
  
  