2 files changed, 56 insertions, 4 deletions

diff --git a/docs/user_guide/gaze_analysis_pipeline/advanced_topics/gaze_position_calibration.md b/docs/user_guide/gaze_analysis_pipeline/advanced_topics/gaze_position_calibration.md
index 4970dba..effee18 100644
--- a/docs/user_guide/gaze_analysis_pipeline/advanced_topics/gaze_position_calibration.md
+++ b/docs/user_guide/gaze_analysis_pipeline/advanced_topics/gaze_position_calibration.md
@@ -7,7 +7,7 @@ The calibration algorithm can be selected by instantiating a particular [GazePos
 
 ## Enable ArFrame calibration
 
-Gaze position calibration can be enabled thanks to a dedicated JSON entry.
+Gaze position calibration can be enabled with a dedicated JSON entry.
 
 Here is an extract from the JSON ArFrame configuration file where a [Linear Regression](../../../argaze.md/#argaze.GazeAnalysis.LinearRegression) calibration algorithm is selected with no parameters:
 
diff --git a/docs/user_guide/gaze_analysis_pipeline/advanced_topics/scripting.md b/docs/user_guide/gaze_analysis_pipeline/advanced_topics/scripting.md
index 026cb3f..843274a 100644
--- a/docs/user_guide/gaze_analysis_pipeline/advanced_topics/scripting.md
+++ b/docs/user_guide/gaze_analysis_pipeline/advanced_topics/scripting.md
@@ -66,7 +66,28 @@ from argaze import ArFeatures
         ...
 ```
 
-## Pipeline execution updates
+## Pipeline execution
+
+Timestamped [GazePositions](../../../argaze.md/#argaze.GazeFeatures.GazePosition) have to be passed one by one to the [ArFrame.look](../../../argaze.md/#argaze.ArFeatures.ArFrame.look) method to execute the whole instantiated pipeline. 
+
+!!! warning "Mandatory"
+
+    The [ArFrame.look](../../../argaze.md/#argaze.ArFeatures.ArFrame.look) method must be called from a *try* block to catch pipeline exceptions.
+
+```python
+# Assuming that timestamped gaze positions are available
+...
+
+    try:
+
+        # Look ArFrame at a timestamped gaze position
+        ar_frame.look(timestamped_gaze_position)
+
+    # Do something with pipeline exception
+    except Exception as e:
+        
+        ...
+```
 
 Calling [ArFrame.look](../../../argaze.md/#argaze.ArFeatures.ArFrame.look) method leads to update many data into the pipeline.
 
@@ -137,7 +158,7 @@ Last [GazeMovement](../../../argaze.md/#argaze.GazeFeatures.GazeMovement) identi
 This could also be the current gaze movement if [ArFrame.filter_in_progress_identification](../../../argaze.md/#argaze.ArFeatures.ArFrame) attribute is false.
 In that case, the last gaze movement *finished* flag is false.
 
-Then, the last 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.
+Then, the last gaze movement type can be tested with [GazeFeatures.is_fixation](../../../argaze.md/#argaze.GazeFeatures.is_fixation) and [GazeFeatures.is_saccade](../../../argaze.md/#argaze.GazeFeatures.is_saccade) functions.
 
 ### *ar_frame.is_analysis_available()*
 
@@ -161,7 +182,7 @@ This an iterator to access to all aoi scan path analysis. Notice that each aoi s
 
 ## Setup ArFrame image parameters
 
-[ArFrame.image](../../../argaze.md/#argaze.ArFeatures.ArFrame.image) method parameters can be configured thanks to a Python dictionary.
+[ArFrame.image](../../../argaze.md/#argaze.ArFeatures.ArFrame.image) method parameters can be configured with a Python dictionary.
 
 ```python
 # Assuming ArFrame is loaded
@@ -186,3 +207,34 @@ ar_frame_image = ar_frame.image(**image_parameters)
 # Do something with ArFrame image
 ...
 ```
+
+Then, [ArFrame.image](../../../argaze.md/#argaze.ArFeatures.ArFrame.image) method can be called in various situations.
+
+### Live window display
+
+While timestamped gaze positions are processed by [ArFrame.look](../../../argaze.md/#argaze.ArFeatures.ArFrame.look) method, it is possible to display the [ArFrame](../../../argaze.md/#argaze.ArFeatures.ArFrame) image thanks to the [OpenCV package](https://pypi.org/project/opencv-python/).
+
+```python
+import cv2
+
+def main():
+
+    # Assuming ArFrame is loaded
+    ...
+
+        # Create a window to display ArFrame
+        cv2.namedWindow(ar_frame.name, cv2.WINDOW_AUTOSIZE)
+
+        # Assuming that timestamped gaze positions are being processed by ArFrame.look method
+        ...
+
+            # Update ArFrame image display
+            cv2.imshow(ar_frame.name, ar_frame.image())
+
+            # Wait 10 ms
+            cv2.waitKey(10)
+
+if __name__ == '__main__':
+
+    main()
+```
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