old_contents: ## License: Apache 2.0. See LICENSE file in root directory.
  ## Copyright(c) 2015-2021 Intel Corporation. All Rights Reserved.
  
  ###############################################
  ##      Network viewer                       ##
  ###############################################
  
  import sys
  import numpy as np
  import cv2
  import pyrealsense2 as rs
  import pyrealsense2_net as rsnet
  
  
  if len(sys.argv) == 1:
      print( 'syntax: python net_viewer <server-ip-address>' )
      sys.exit(1)
  
  ip = sys.argv[1]
  
  ctx = rs.context()
  print ('Connecting to ' + ip)
  dev = rsnet.net_device(ip)
  print ('Connected')
  print ('Using device 0,', dev.get_info(rs.camera_info.name), ' Serial number: ', dev.get_info(rs.camera_info.serial_number))
  dev.add_to(ctx)
  pipeline = rs.pipeline(ctx)
  
  
  # Start streaming
  print ('Start streaming, press ESC to quit...')
  pipeline.start()
  
  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())
  
          # Apply colormap on depth image (image must be converted to 8-bit per pixel first)
          depth_colormap = cv2.applyColorMap(cv2.convertScaleAbs(depth_image, alpha=0.03), cv2.COLORMAP_JET)
  
          depth_colormap_dim = depth_colormap.shape
          color_colormap_dim = color_image.shape
  
          # If depth and color resolutions are different, resize color image to match depth image for display
          if depth_colormap_dim != color_colormap_dim:
              resized_color_image = cv2.resize(color_image, dsize=(depth_colormap_dim[1], depth_colormap_dim[0]), interpolation=cv2.INTER_AREA)
              images = np.hstack((resized_color_image, depth_colormap))
          else:
              images = np.hstack((color_image, depth_colormap))
  
          # Show images
          cv2.namedWindow('RealSense', cv2.WINDOW_AUTOSIZE)
          cv2.imshow('RealSense', images)
          k = cv2.waitKey(1) & 0xFF
          if k == 27:         
           cv2.destroyAllWindows()
           break
  
  finally:
  
      # Stop streaming
      pipeline.stop()
  
  print ("Finished")
  
new_contents: ## License: Apache 2.0. See LICENSE file in root directory.
  ## Copyright(c) 2021 Intel Corporation. All Rights Reserved.
  
  ###############################################
  ##      Network viewer                       ##
  ###############################################
  
  import sys
  import numpy as np
  import cv2
  import pyrealsense2 as rs
  import pyrealsense2_net as rsnet
  
  
  if len(sys.argv) == 1:
      print( 'syntax: python net_viewer <server-ip-address>' )
      sys.exit(1)
  
  ip = sys.argv[1]
  
  ctx = rs.context()
  print ('Connecting to ' + ip)
  dev = rsnet.net_device(ip)
  print ('Connected')
  print ('Using device 0,', dev.get_info(rs.camera_info.name), ' Serial number: ', dev.get_info(rs.camera_info.serial_number))
  dev.add_to(ctx)
  pipeline = rs.pipeline(ctx)
  
  
  # Start streaming
  print ('Start streaming, press ESC to quit...')
  pipeline.start()
  
  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())
  
          # Apply colormap on depth image (image must be converted to 8-bit per pixel first)
          depth_colormap = cv2.applyColorMap(cv2.convertScaleAbs(depth_image, alpha=0.03), cv2.COLORMAP_JET)
  
          depth_colormap_dim = depth_colormap.shape
          color_colormap_dim = color_image.shape
  
          # If depth and color resolutions are different, resize color image to match depth image for display
          if depth_colormap_dim != color_colormap_dim:
              resized_color_image = cv2.resize(color_image, dsize=(depth_colormap_dim[1], depth_colormap_dim[0]), interpolation=cv2.INTER_AREA)
              images = np.hstack((resized_color_image, depth_colormap))
          else:
              images = np.hstack((color_image, depth_colormap))
  
          # Show images
          cv2.namedWindow('RealSense', cv2.WINDOW_AUTOSIZE)
          cv2.imshow('RealSense', images)
          k = cv2.waitKey(1) & 0xFF
          if k == 27:    # Escape
              cv2.destroyAllWindows()
              break
  
  finally:
      # Stop streaming
      pipeline.stop()
  
  print ("Finished")
  
subject: Update net_viewer.py