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+Script the pipeline
+===================
+
+All gaze analysis pipeline objects are accessible from Python script.
+This could be particularly useful for realtime gaze interaction applications.
+
+## Load ArFrame configuration from dictionary
+
+First of all, [ArFrame](../../../argaze.md/#argaze.ArFeatures.ArFrame) configuration can be loaded from a python dictionary.
+
+```python
+from argaze import ArFeatures
+
+# Edit a dict with ArFrame configuration
+configuration = {
+	"name": "My FullHD screen",
+    "size": (1920, 1080),
+    ...
+    "gaze_movement_identifier": {
+        ...
+    },
+    "scan_path": {
+        ...
+    },
+    "scan_path_analyzers": {
+        ...
+    },
+    "heatmap": {
+        ...
+    },
+    "layers": {
+        "MyLayer": {
+            ...
+        },
+        ...
+    },
+    "image_parameters": {
+        ...
+    }
+}
+
+# Load ArFrame
+ar_frame = ArFeatures.ArFrame.from_dict(configuration)
+
+# Do something with ArFrame
+...
+```
+
+## Access to ArFrame and ArLayers attributes
+
+Then, once the configuration is loaded, it is possible to access to its attributes: [read ArFrame code reference](../../../argaze.md/#argaze.ArFeatures.ArFrame) to get a complete list of what is available.
+
+Thus, the [ArFrame.layers](../../../argaze.md/#argaze.ArFeatures.ArFrame) attribute allows to access each loaded layer and so, access to their attributes: [read ArLayer code reference](../../../argaze.md/#argaze.ArFeatures.ArLayer) to get a complete list of what is available.
+
+```python
+from argaze import ArFeatures
+
+# Assuming the ArFrame is loaded
+...
+
+# Iterate over each ArFrame layers
+for name, ar_layer in ar_frame.layers.items():
+    ...
+```
+
+## Pipeline execution outputs
+
+[ArFrame.look](../../../argaze.md/#argaze.ArFeatures.ArFrame.look) method returns many data about pipeline execution.
+
+```python
+# Assuming that timestamped gaze positions are available
+...
+
+    # Look ArFrame at a timestamped gaze position
+    gaze_movement, scan_path_analysis, layers_analysis, execution_times, exception = ar_frame.look(timestamp, gaze_position)
+
+    # Check if a gaze movement has been identified
+    if gaze_movement.valid and gaze_movement.finished:
+
+        # Do something with identified fixation
+        if GazeFeatures.is_fixation(gaze_movement):
+            ...
+
+        # Do something with identified saccade
+        elif GazeFeatures.is_saccade(gaze_movement):
+            ...
+
+        # Do something with scan path analysis
+        for module, analysis in scan_path_analysis.items():
+            for data, value in analysis.items():
+                ...
+
+        # Do something with each layer AOI scan path analysis
+        for layer_name, layer_aoi_scan_path_analysis in layers_analysis.items():
+            for module, analysis in layer_aoi_scan_path_analysis.items():
+                for data, value in analysis.items():
+                    ...
+
+    # Do something with pipeline execution times
+    ...
+
+    # Do something with pipeline exception
+    if exception:
+        ...
+```
+
+Let's understand the meaning of each returned data.
+
+### Gaze movement
+
+A [GazeMovement](../../../argaze.md/#argaze.GazeFeatures.GazeMovement) once it have been identified by [ArFrame.gaze_movement_identifier](../../../argaze.md/#argaze.ArFeatures.ArFrame) object from incoming consecutive timestamped gaze positions. If no gaze movement have been identified, it returns an [UnvalidGazeMovement](../../../argaze.md/#argaze.GazeFeatures.UnvalidGazeMovement). 
+
+This could also be the current gaze movement if [ArFrame.filter_in_progress_fixation](../../../argaze.md/#argaze.ArFeatures.ArFrame) attribute is false.
+In that case, the returned gaze movement *finished* flag is false.
+
+Then, the returned gaze movement type can be tested thanks to [GazeFeatures.is_fixation](../../../argaze.md/#argaze.GazeFeatures.is_fixation) and [GazeFeatures.is_saccade](../../../argaze.md/#argaze.GazeFeatures.is_saccade) functions.
+
+### Scan path analysis
+
+A dictionary with all last scan path analysis if new scan step have been added to the [ArFrame.scan_path](../../../argaze.md/#argaze.ArFeatures.ArFrame) object.
+
+### Layers analysis
+
+A dictionary with all layers AOI scan path analysis if new AOI scan step have been added to an [ArLayer.aoi_scan_path](../../../argaze.md/#argaze.ArFeatures.ArLayer) object.
+
+### Execution times
+
+A dictionary with each pipeline step execution time.
+
+### Exception
+
+A [python Exception](https://docs.python.org/3/tutorial/errors.html#exceptions) object raised during pipeline execution.
+
+## Setup ArFrame image parameters
+
+[ArFrame.image](../../argaze.md/#argaze.ArFeatures.ArFrame.image) method parameters can be configured thanks to a python dictionary.
+
+```python
+# Assuming ArFrame is loaded
+...
+
+# Edit a dict with ArFrame image parameters
+image_parameters = {
+    "draw_scan_path": {
+        ...
+    },
+    "draw_layers": {
+        "MyLayer": {
+            ...
+        }
+    },
+    ...
+}
+
+# Pass image parameters to ArFrame
+ar_frame_image = ar_frame.image(**image_parameters)
+
+# Do something with ArFrame image
+...
+```