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cff-version: 2.1.0 | ||
message: "If you use this software, please cite it as below." | ||
authors: | ||
- family-names: "Settimi" | ||
given-names: "Andrea" | ||
orcid: "https://orcid.org/0000-0001-5020-7331" | ||
- family-names: "Naravich" | ||
given-names: "Chutisilp" | ||
orcid: "https://orcid.org/0009-0005-8782-732X" | ||
- family-names: "Nazgul" | ||
given-names: "Zholmagambetova" | ||
title: "Software of TTool: a supervised AI-assisted Visual Pose Detector for AR Wood-working" | ||
version: 2.1.0 | ||
doi: 10.5281/zenodo.10093230 # to replace | ||
date-released: 2024-01-10 | ||
url: "https://github.com/ibois-epfl/TTool" |
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Change Log to SLET in v.2.1.0: | ||
- Model manager that manages different 3D models for 6DoF tracking. This allows user to change the model to be tracked at ease. | ||
- Input pose to manipulate the 3D models for the initial pose. The initial pose is required by the SLET to begin the tracking. With input pose, the user can give a rough pose of the 3D, and have the SLET refine the pose afterward. | ||
- Config manager to read the config YAML and managing I/O for saving the poses of the models for later. | ||
- GLEW's OpenGL for rendering. SLET is using QT5's OpenGL rendering. However, our [augmented carpentry](https://github.com/ibois-epfl/augmented-carpentry) is using GLFW. Hence, we changed the rendering back-end to suit our project. | ||
- RESET, FREEZE, TRACK implementation. We found the correlation between the average score of the search points and the quality of the tracking. We added a thresholding to the SLET to exploit this score. As a consequece, the tracking works better on our setting of a fixed camera mounting on the toolhead. | ||
- ML Tool head classification to detect the type of the tool from the camera. |
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