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| author | Théo de la Hogue | 2022-09-21 15:43:40 +0200 |
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| committer | Théo de la Hogue | 2022-09-21 15:43:40 +0200 |
| commit | 57b43e855725f6be8d9cad36bf858807915ebd12 (patch) | |
| tree | 3fd2a244f49818a9323e3a45c699334bc5c87cfd | |
| parent | 414e0d231e6f251c084063719238dde3500562e1 (diff) | |
| download | argaze-57b43e855725f6be8d9cad36bf858807915ebd12.zip argaze-57b43e855725f6be8d9cad36bf858807915ebd12.tar.gz argaze-57b43e855725f6be8d9cad36bf858807915ebd12.tar.bz2 argaze-57b43e855725f6be8d9cad36bf858807915ebd12.tar.xz | |
Updating readme
| -rw-r--r-- | src/argaze/utils/README.md | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/src/argaze/utils/README.md b/src/argaze/utils/README.md index 32056d9..58a892d 100644 --- a/src/argaze/utils/README.md +++ b/src/argaze/utils/README.md @@ -60,7 +60,7 @@ python ./src/argaze/utils/tobii_sdcard_explore.py -r RECORDING_PATH python ./src/argaze/utils/tobii_sdcard_explore.py -s SEGMENT_PATH ``` -- Replay a time range selection (-r IN OUT) Tobii Glasses Pro 2 session (-s SEGMENT_PATH) synchronizing video and gaze data together: +- Replay a time range selection (-r IN OUT) Tobii Glasses Pro 2 session (-s SEGMENT_PATH) synchronizing video and some data together: ``` python ./src/argaze/utils/tobii_segment_display.py -s SEGMENT_PATH -r IN OUT @@ -72,8 +72,7 @@ python ./src/argaze/utils/tobii_segment_display.py -s SEGMENT_PATH -r IN OUT python ./src/argaze/utils/tobii_segment_gaze_movements_export.py -s SEGMENT_PATH -r IN OUT ``` -- Track ArUco markers into a Tobii camera video segment (-s SEGMENT_PATH) into a time range selection (-r IN OUT). Load aoi scene .obj file related to each marker (-mi MARKER_ID, PATH_TO_AOI_SCENE), position each scene virtually relatively to its detected ArUco markers then project the scene into camera frame. Then, detect if Tobii gaze point is focusing onto AOIs to build the segment visual scan and export it as a visual_scan.csv, visual_scan.jpg, visual_scan.mp4 files: - +- Track ArUco markers into a Tobii camera video segment (-s SEGMENT_PATH) into a time range selection (-r IN OUT). Load aoi scene .obj file related to each marker (-mi MARKER_ID, PATH_TO_AOI_SCENE), position each scene virtually relatively to its detected ArUco markers then project the scene into camera frame. Export aoi video and data as a aruco_aoi.csv, aruco_aoi.mp4 files: ``` python ./src/argaze/utils/tobii_segment_aruco_aoi_export.py -s SEGMENT_PATH -c export/tobii_camera.json -r IN OUT -ms 5 -mi '{"MARKER_ID":"PATH_TO_AOI_SCENE.obj",...}' ``` |