Skip to Content
ROS Programming: Building Powerful Robots
book

ROS Programming: Building Powerful Robots

by Anil Mahtani, Luis Sanchez, Enrique Fernandez, Aaron Martinez, Lentin Joseph
March 2018
Intermediate to advanced content levelIntermediate to advanced
1396 pages
42h 14m
English
Packt Publishing
Content preview from ROS Programming: Building Powerful Robots

Running the ROS image recognition node

Let's go through how we can run the image recognition node.

First, you have to plug a UVC webcam, which we used in Chapter 20Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos Run roscore:

    $ roscore

Run the webcam driver:

    $ rosrun cv_camera cv_camera_node

Run the image recognition node, simply using the following command:

    $ python image_recognition.py image:=/cv_camera/image_raw

When we run the recognition node, it will download the inception model and extract it into the /tmp/imagenet folder. You can do it manually by downloading inception-v3 from the following link:

http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz

You can copy this file into the /tmp/imagenet ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Programming Robots with ROS

Programming Robots with ROS

Morgan Quigley, Brian Gerkey, William D. Smart
Machine Learning Design Patterns

Machine Learning Design Patterns

Valliappa Lakshmanan, Sara Robinson, Michael Munn

Publisher Resources

ISBN: 9781788627436Supplemental Content