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author | Théo de la Hogue | 2023-06-21 09:03:41 +0200 |
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committer | Théo de la Hogue | 2023-06-21 09:03:41 +0200 |
commit | a594afb5bb17798cd138f1632dcfc53f4eaac09f (patch) | |
tree | ac3527627e4171e6fd545c73e0cc81f49dfe6a94 /docs/user_guide/utils | |
parent | 0354377903fbc8a828b5735b2d25e1c5bc02c768 (diff) | |
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Replacing frame word by image when it is about drawing or detecting.
Diffstat (limited to 'docs/user_guide/utils')
-rw-r--r-- | docs/user_guide/utils/demonstrations_scripts.md | 2 | ||||
-rw-r--r-- | docs/user_guide/utils/ready-made_scripts.md | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/docs/user_guide/utils/demonstrations_scripts.md b/docs/user_guide/utils/demonstrations_scripts.md index adcc8b3..5de2927 100644 --- a/docs/user_guide/utils/demonstrations_scripts.md +++ b/docs/user_guide/utils/demonstrations_scripts.md @@ -11,7 +11,7 @@ Collection of command-line scripts for demonstration purpose. ## AR environment demonstration -Load AR environment from **setup.json** file, detect ArUco markers into camera device (-d DEVICE) frames and estimate envirnoment pose. +Load AR environment from **setup.json** file, detect ArUco markers into camera device (-d DEVICE) images and estimate envirnoment pose. ```shell python ./src/argaze/utils/demo_ar_features_run.py -d DEVICE diff --git a/docs/user_guide/utils/ready-made_scripts.md b/docs/user_guide/utils/ready-made_scripts.md index 035d697..afc5749 100644 --- a/docs/user_guide/utils/ready-made_scripts.md +++ b/docs/user_guide/utils/ready-made_scripts.md @@ -36,7 +36,7 @@ python ./src/argaze/utils/camera_calibrate.py 7 5 5 3 DICT_APRILTAG_16h5 -d DEVI ## ArUco scene exporter -Load a MOVIE with ArUco markers inside and select a frame into it, detect ArUco markers belonging to DICT_APRILTAG_16h5 dictionary with 5cm size into the selected frame thanks to given OPTIC_PARAMETERS and DETECTOR_PARAMETERS then, export detected ArUco markers scene as .obj file into an *./src/argaze/utils/_export/scenes* folder. +Load a MOVIE with ArUco markers inside and select image into it, detect ArUco markers belonging to DICT_APRILTAG_16h5 dictionary with 5cm size into the selected image thanks to given OPTIC_PARAMETERS and DETECTOR_PARAMETERS then, export detected ArUco markers scene as .obj file into an *./src/argaze/utils/_export/scenes* folder. ```shell python ./src/argaze/utils/aruco_markers_scene_export.py MOVIE DICT_APRILTAG_16h5 5 OPTIC_PARAMETERS DETECTOR_PARAMETERS -o ./src/argaze/utils/_export/scenes |