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macmacal
requested changes
Feb 24, 2025
macmacal
requested changes
Feb 24, 2025
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Description
This PR integrates the YOLOv5 neural network for the spatial detection of polygonal bases, enabling real-time object identification, classification, and 3D localization.
Motivation and context
In this project, the robot's task is to identify and place prismatic objects into designated holes. To achieve this, a robust vision system is required for detecting, classifying, and localizing objects in 3D space. YOLOv5 has been chosen for its speed, accuracy, and efficiency in real-time object detection, making it an ideal solution for this application.
Screenshots
How has this been tested?
Manually, on the Geonosis PC.
Checklist