ONNX YOLOv9 MIT Object Detection Python scripts performing object detection using the YOLOv9 MIT model in ONNX.

This paper presents techniques for tracking non-line-of-sight (NLOS) objects using speckle imaging. We develop a novel speckle formation and motion model where both the sensor and the source view ...

Is there an existing issue for this feature request? I have searched the existing issues Is your feature request related to a problem? I want to switch printing by layer and by object in any order ...

From printing thousands of drone “bodies” to hundreds of vehicle components, the land service sees a host of opportunities from additive manufacturing.

This article considers an approach to the recognition of explosive objects using a custom object detection model with Tensorflow framework and OpenCV. The approach to creating a customer's own SSD ...

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors.

This study specifically explores the application of melt extrusion deposition (MED) 3D printing technology as a rapid prototyping platform for creating extended-release (ER) oral dosage forms tailored ...