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-Script the pipeline
-===================
-
-All aruco markers pipeline objects are accessible from Python script.
-This could be particularly useful for realtime AR interaction applications.
-
-## Load ArUcoCamera configuration from dictionary
-
-First of all, [ArUcoCamera](../../../argaze.md/#argaze.ArUcoMarkers.ArUcoCamera) configuration can be loaded from a python dictionary.
-
-```python
-from argaze.ArUcoMarkers import ArUcoCamera
-
-# Edit a dict with ArUcoCamera configuration
-configuration = {
-	"name": "My FullHD camera",
-    "size": (1920, 1080),
-    ...
-    "aruco_detector": {
-        ...
-    },
-    "scenes": {
-        "MyScene" : {
-             "aruco_markers_group": {
-                ...
-            },
-            "layers": {
-                "MyLayer": {
-                    "aoi_scene": {
-                    ...
-                    }
-                },
-                ...
-            }
-        },
-        ...
-    }
-    "layers": {
-        "MyLayer": {
-            ...
-        },
-        ...
-    },
-    "image_parameters": {
-        ...
-    }
-}
-
-# Load ArUcoCamera
-aruco_camera = ArUcoCamera.ArUcoCamera.from_dict(configuration)
-
-# Do something with ArUcoCamera
-...
-```
-
-## Access to ArUcoCamera and ArScenes attributes
-
-Then, once the configuration is loaded, it is possible to access to its attributes: [read ArUcoCamera code reference](../../../argaze.md/#argaze.ArUcoMarkers.ArUcoCamera) to get a complete list of what is available.
-
-Thus, the [ArUcoCamera.scenes](../../../argaze.md/#argaze.ArFeatures.ArCamera) attribute allows to access each loaded aruco scene and so, access to their attributes: [read ArUcoScene code reference](../../../argaze.md/#argaze.ArUcoMarkers.ArUcoScene) to get a complete list of what is available.
-
-```python
-from argaze import ArFeatures
-
-# Assuming the ArUcoCamera is loaded
-...
-
-# Iterate over each ArUcoCamera scene
-for name, aruco_scene in aruco_camera.scenes.items():
-    ...
-```
-
-## Pipeline execution outputs
-
-[ArUcoCamera.watch](../../../argaze.md/#argaze.ArFeatures.ArCamera.watch) method returns data about pipeline execution.
-
-```python
-# Assuming that timestamped images are available
-...:
-
-    try:
-
-        # Watch image with ArUco camera
-        aruco_camera.watch(image, timestamp=timestamp)
-
-    # Do something with pipeline exception
-    except Exception as e:
-
-        ...
-
-    # Do something with detected_markers
-    ... aruco_camera.aruco_detector.detected_markers()
-    
-```
-
-Let's understand the meaning of each returned data.
-
-### *aruco_camera.aruco_detector.detected_markers()*
-
-A dictionary containing all detected markers provided by [ArUcoDetector](../../../argaze.md/#argaze.ArUcoMarkers.ArUcoDetector) class.
-
-## Setup ArUcoCamera image parameters
-
-Specific [ArUcoCamera.image](../../../argaze.md/#argaze.ArFeatures.ArFrame.image) method parameters can be configured thanks to a python dictionary.
-
-```python
-# Assuming ArUcoCamera is loaded
-...
-
-# Edit a dict with ArUcoCamera image parameters
-image_parameters = {
-    "draw_detected_markers": {
-        ...
-    },
-    "draw_scenes": {
-        ...   
-    },
-    "draw_optic_parameters_grid": {
-        ...
-    },
-    ...
-}
-
-# Pass image parameters to ArUcoCamera
-aruco_camera_image = aruco_camera.image(**image_parameters)
-
-# Do something with ArUcoCamera image
-...
-```
-
-!!! note
-    [ArUcoCamera](../../../argaze.md/#argaze.ArUcoMarkers.ArUcoCamera) inherits from [ArFrame](../../../argaze.md/#argaze.ArFeatures.ArFrame) and so, benefits from all image parameters described in [gaze analysis pipeline visualisation section](../../gaze_analysis_pipeline/visualisation.md).
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