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No annotation for imageviewer5/3/2023 ![]() I'm using ROS Noetic on Ubuntu 20.04, running in a virtual machine. This post assumes you have a working ROS 1 installation on your computer. (If you're not yet familiar with ROS nodes and topics, try reading The Building Blocks of ROS first - we'll be using them in this tutorial.) Setting up a camera node In this post, we'll set up a camera, run a face detection algorithm on the images, and use image markers in Studio to visualize the results. Studio even enables you to easily turn them on or off in your layout's Image panel. ![]() ![]() You can tackle these issues by using image markers, a kind of vector graphics that Studio can draw on top of the image. However, there are several limitations to drawing directly on the image – markers can cover pixels in the original image, appear blurry on small images, and be costly to store. A common approach for camera images is to produce an image that has been annotated with relevant markers. When analyzing your sensor data, it can be helpful to see your outputs visually. Teaching a robot to understand what it's seeing through a camera might sound complicated, but it doesn't have to be! As machine learning has become popular, it's also become much more accessible to non-experts, and there are now plenty of off-the-shelf toolkits that make it simple to analyze data and detect patterns. Whether you just got started with ROS or have a robotic duck roaming around your house, giving your robot more sensor inputs can be a great next step to take in your robotics journey, and adding a camera to your robot can be a simple and powerful way to do just that. Jacob Bandes-Storch ♱0 min readPublished July 14, 2021
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