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author | Théo de la Hogue | 2023-06-06 17:46:49 +0200 |
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committer | Théo de la Hogue | 2023-06-06 17:46:49 +0200 |
commit | 8352274b19ae10cecbdb87f96606bc28157427c8 (patch) | |
tree | 919d144421e7479990a7e357bbd57ee0aadd3a83 | |
parent | b109578ec1e8635aeb9f12c3a913108232347935 (diff) | |
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Working on documentation architecture.
-rw-r--r-- | README.md | 14 | ||||
-rw-r--r-- | mkdocs.yml | 15 |
2 files changed, 22 insertions, 7 deletions
@@ -1,13 +1,17 @@ -# Welcome to ArGaze's documentation +# ArGaze documentation + +**Useful links**: [Installation](getting_started#installation) | [Source Repository](https://git.recherche.enac.fr/projects/argaze/repository) | [Issue Tracker](https://git.recherche.enac.fr/projects/argaze/issues) | [Contact](mailto:achil-contact@recherche.enac.fr) + +![Logo](logo-large.png){ width=640px } **ArGaze** is a python toolkit to deal with gaze tracking in **Augmented Reality (AR) environment**. -The ArGaze toolkit provides solutions to build 3D modeled AR environment defining **Areas Of Interest (AOI)** mapped on **<a href="https://docs.opencv.org/4.x/d5/dae/tutorial_aruco_detection.html" target="_blank">OpenCV ArUco markers</a>** and so ease experimentation design with wearable eye tracker device. +The ArGaze toolkit provides solutions to build 3D modeled AR environment defining **Areas Of Interest (AOI)** mapped on <a href="https://docs.opencv.org/4.x/d5/dae/tutorial_aruco_detection.html" target="_blank">OpenCV ArUco markers</a> and so ease experimentation design with wearable eye tracker device. Further, tracked gaze can be projected onto AR environment for live or post **gaze analysis** thanks to **timestamped data** features. ArGaze can be combined with any wearable eye tracking device python library like Tobii or Pupil glasses. -Check out the [installation](getting_started#installation) section to start. - -Check out the [Code reference](argaze) section to get deeper into library architecture. +!!! note + + *This work is greatly inspired by [Andrew T. Duchowski, Vsevolod Peysakhovich and Krzysztof Krejtz article](https://git.recherche.enac.fr/attachments/download/1942/Using_Pose_Estimation_to_Map_Gaze_to_Detected_Fidu.pdf) about using pose estimation to map gaze to detected fiducial markers.* @@ -1,15 +1,25 @@ site_name: ArGaze documentation nav: - index.md -- getting_started.md +- Getting Started: + - getting_started/installation.md + - getting_started/ready-made.md + - getting_started/demos.md - Code Reference: - - argaze.md + - argaze.md +- Contributor's Guide: + - contributor_guide/build_documentation.md + - contributor_guide/unitary_test.md theme: name: readthedocs + palette: + primary: #0299D2 extra_css: - css/extra.css plugins: - search + - autorefs + - include-markdown - mkdocstrings: handlers: # See: https://mkdocstrings.github.io/python/usage/ @@ -28,4 +38,5 @@ watch: markdown_extensions: - markdown_include.include: base_path: . + - attr_list - admonition |