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-rw-r--r--docs/user_guide/aruco_marker_pipeline/aoi_3d_frame.md8
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/user_guide/aruco_marker_pipeline/aoi_3d_frame.md b/docs/user_guide/aruco_marker_pipeline/aoi_3d_frame.md
index da8f15c..69d0617 100644
--- a/docs/user_guide/aruco_marker_pipeline/aoi_3d_frame.md
+++ b/docs/user_guide/aruco_marker_pipeline/aoi_3d_frame.md
@@ -7,7 +7,7 @@ When an 3D AOI of the scene contains other coplanar 3D AOI, like a screen with G
## Add ArFrame to ArUcoScene
-The [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) class defines a rectangular area where timestamped gaze positions are projected in and inside which they need to be analyzed.
+The [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) class defines a rectangular area where timestamped gaze positions are projected and inside which they need to be analyzed.
Here is the previous extract where "Left_Screen" and "Right_Screen" AOI are defined as a frame into [ArUcoScene](../../argaze.md/#argaze.ArUcoMarker.ArUcoScene) configuration:
@@ -100,16 +100,16 @@ The names of 3D AOI **and** their related [ArFrames](../../argaze.md/#argaze.ArF
### Map ArUcoCamera image into ArUcoScenes frames
-After the camera image is passed to the [ArUcoCamera.watch](../../argaze.md/#argaze.ArFeatures.ArCamera.watch) method, it is possible to apply a perspective transformation in order to project the watched image into each [ArUcoScene](../../argaze.md/#argaze.ArUcoMarker.ArUcoScene) [frame's background](../../argaze.md/#argaze.ArFeatures.ArFrame) image.
+After the timestamped camera image is passed to the [ArUcoCamera.watch](../../argaze.md/#argaze.ArFeatures.ArCamera.watch) method, it is possible to apply a perspective transformation in order to project the watched image into each [ArUcoScene](../../argaze.md/#argaze.ArUcoMarker.ArUcoScene) [frame's background](../../argaze.md/#argaze.ArFeatures.ArFrame) image.
```python
# Assuming that Full HD (1920x1080) timestamped images are available
...:
# Detect ArUco markers, estimate scene pose then, project 3D AOI into camera frame
- aruco_camera.watch(image, timestamp=timestamp)
+ aruco_camera.watch(timestamped_image)
- # Map watched image into ArUcoScenes frames background
+ # Map watched image into ArUcoScene frames background
aruco_camera.map(timestamp=timestamp)
```