Follow Along!

The program launching process along with parameter settings are all simplified and set up on the Jupyter Notebook Environment.

(The Jetson Board used for these examples are => Jetson Nano)

• 1-1. Detect oranges in images - googlenet.ipynb

• Running the cell code

  Ctrl + Enter

• Import the subprocess module to run the example scripts (i.e. show.sh, kill.sh)

import subprocess

• Check the input image

  # Check the original image
  run_command_before = 'bash ~/ai_example/show.sh orange before'
  subprocess.call((run_command_before.split('\n')), shell=True)
  

  

• After confirming that the Input image is correct, terminate the image window

  # terminating the process
  kill_command_before = 'bash ~/ai_example/kill.sh display'
  subprocess.call((kill_command_before.split('\n')), shell=True)
  

• Guess what the image is!

  # Detect objects
  detect_command_orange = 'bash ~/ai_example/detect.sh orange_googlenet'
  subprocess.call((detect_command_orange.split('\n')), shell=True)
  

• Output the result on the image window

  # Check the detected image
  run_command_after = 'bash ~/ai_example/show.sh orange after googlenet'
  subprocess.call((run_command_after.split('\n')), shell=True)
  

  

• Terminate the process

  # terminating the process
  kill_command_after = 'bash ~/ai_example/kill.sh display'
  subprocess.call((kill_command_after.split('\n')), shell=True)