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author | Theo De La Hogue | 2023-09-25 10:32:10 +0200 |
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committer | Theo De La Hogue | 2023-09-25 10:32:10 +0200 |
commit | a6561584fa398b2626389f558ce59ce8d73e9dab (patch) | |
tree | 5302928b9f28cd93dfe3f662d7101856ec214e58 /docs | |
parent | 61df29ded4a1ffef3f9677f0d13f07821f07fcb7 (diff) | |
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Adding AOI frame chapter link.
Diffstat (limited to 'docs')
-rw-r--r-- | docs/user_guide/aruco_markers_pipeline/introduction.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/user_guide/aruco_markers_pipeline/introduction.md b/docs/user_guide/aruco_markers_pipeline/introduction.md index f781fe8..dd82900 100644 --- a/docs/user_guide/aruco_markers_pipeline/introduction.md +++ b/docs/user_guide/aruco_markers_pipeline/introduction.md @@ -7,7 +7,7 @@ The OpenCV library provides a module to detect fiducial markers into a picture a ![OpenCV ArUco markers](https://pyimagesearch.com/wp-content/uploads/2020/12/aruco_generate_tags_header.png) -The ArGaze [ArUcoMarkers submodule](../../argaze.md/#argaze.ArUcoMarkers) eases markers creation, optic calibration, markers detection and 3D scene pose estimation through a set of high level classes. +The ArGaze [ArUcoMarkers submodule](../../argaze.md/#argaze.ArUcoMarkers) eases markers creation, markers detection and 3D scene pose estimation through a set of high level classes. First, let's look at the schema below: it gives an overview of the main notions involved in the following chapters. @@ -19,8 +19,8 @@ To build your own ArUco markers pipeline, you need to know: * [How to describe scene's AOI](aoi_description.md), * [How to load and execute ArUco markers pipeline](configuration_and_execution.md), * [How to estimate scene pose](pose_estimation.md), -* [How to project AOI into camera frame](aoi_projection.md) -<!-- * [How to visualize ArUcoCamera and ArUcoScenes](visualisation.md) --> +* [How to project AOI into camera frame](aoi_projection.md), +* [How to define an AOI as a frame](aoi_frame.md) More advanced features are also explained like: |