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| author | Théo de la Hogue | 2024-01-17 15:17:24 +0100 |
|---|---|---|
| committer | Théo de la Hogue | 2024-01-17 15:17:24 +0100 |
| commit | 2c1956de549bbc98144c0c81864a30b59d745435 (patch) | |
| tree | 64a9a5dcf46fb29f5c7d8ce7650c6c595de22ba3 /docs | |
| parent | c9fcffb79e442c2554f028a64e59fca7042b1886 (diff) | |
| parent | 7d76d3b9728696fa8c98a3336a9d0642db7476b7 (diff) | |
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Merge branch 'dev/video_thread'
Diffstat (limited to 'docs')
3 files changed, 6 insertions, 18 deletions
diff --git a/docs/user_guide/aruco_markers_pipeline/advanced_topics/scripting.md b/docs/user_guide/aruco_markers_pipeline/advanced_topics/scripting.md index 892d6dd..c79c8b5 100644 --- a/docs/user_guide/aruco_markers_pipeline/advanced_topics/scripting.md +++ b/docs/user_guide/aruco_markers_pipeline/advanced_topics/scripting.md @@ -75,11 +75,11 @@ for name, aruco_scene in aruco_camera.scenes.items(): [ArUcoCamera.watch](../../../argaze.md/#argaze.ArFeatures.ArCamera.watch) method returns data about pipeline execution. ```python -# Assuming that images are available +# Assuming that timestamped images are available ...: # Watch image with ArUco camera - detection_time, projection_time, exception = aruco_camera.watch(image) + detection_time, projection_time, exception = aruco_camera.watch(timestamp, image) # Do something with pipeline times ... 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() diff --git a/docs/user_guide/aruco_markers_pipeline/configuration_and_execution.md b/docs/user_guide/aruco_markers_pipeline/configuration_and_execution.md index 329a137..43bb64e 100644 --- a/docs/user_guide/aruco_markers_pipeline/configuration_and_execution.md +++ b/docs/user_guide/aruco_markers_pipeline/configuration_and_execution.md @@ -98,17 +98,11 @@ The usual [ArFrame visualisation parameters](../gaze_analysis_pipeline/visualisa Pass each camera image to [ArUcoCamera.watch](../../argaze.md/#argaze.ArFeatures.ArCamera.watch) method to execute the whole pipeline dedicated to ArUco markers detection, scene pose estimation and 3D AOI projection. ```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) # Display ArUcoCamera frame image to display detected ArUco markers, scene pose, 2D AOI projection and ArFrame visualisation. ... aruco_camera.image() |