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Diffstat (limited to 'docs/user_guide/aruco_markers_pipeline/aoi_3d_frame.md')
| -rw-r--r-- | docs/user_guide/aruco_markers_pipeline/aoi_3d_frame.md | 10 |
1 files changed, 2 insertions, 8 deletions
diff --git a/docs/user_guide/aruco_markers_pipeline/aoi_3d_frame.md b/docs/user_guide/aruco_markers_pipeline/aoi_3d_frame.md index 8c13bf2..4f9af7c 100644 --- a/docs/user_guide/aruco_markers_pipeline/aoi_3d_frame.md +++ b/docs/user_guide/aruco_markers_pipeline/aoi_3d_frame.md @@ -101,17 +101,11 @@ The names of 3D AOI **and** their related [ArFrames](../../argaze.md/#argaze.ArF After camera image is passed to [ArUcoCamera.watch](../../argaze.md/#argaze.ArFeatures.ArCamera.watch) method, it is possible to apply a perpective transformation in order to project watched image into each [ArUcoScenes](../../argaze.md/#argaze.ArUcoMarkers.ArUcoScene) [frames background](../../argaze.md/#argaze.ArFeatures.ArFrame) image. ```python -# Assuming that Full HD (1920x1080) video stream or file is opened -... - -# Assuming that the video reading is handled in a looping code block +# Assuming that Full HD (1920x1080) timestamped images are available ...: - # Capture image from video stream of file - image = video_capture.read() - # Detect ArUco markers, estimate scene pose then, project 3D AOI into camera frame - aruco_camera.watch(image) + aruco_camera.watch(timestamp, image) # Map watched image into ArUcoScenes frames background aruco_camera.map() |