Replacing visualisation by visualization.

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-Visualize pipeline steps
-========================
-
-Visualisation is not a pipeline step but each [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) pipeline steps outputs can be drawn in real-time or afterward, depending of application purpose.
-
-![ArFrame visualisation](../../img/visualisation.png)
-
-## Add image parameters to ArFrame JSON configuration file
-
-[ArFrame.image](../../argaze.md/#argaze.ArFeatures.ArFrame.image) method parameters can be configured thanks to a dedicated JSON entry.
-
-Here is an extract from the JSON ArFrame configuration file with a sample where image parameters are added:
-
-```json
-{
-    "name": "My FullHD screen",
-    "size": [1920, 1080],
-    ...
-    "image_parameters": {
-        "draw_gaze_positions": {
-            "color": [0, 255, 255],
-            "size": 2
-        },
-        "draw_fixations": {
-            "deviation_circle_color": [255, 255, 255],
-            "duration_border_color": [127, 0, 127],
-            "duration_factor": 1e-2,
-            "draw_positions": {
-                "position_color": [0, 255, 255],
-                "line_color": [0, 0, 0]
-            }
-        }, 
-        "draw_saccades": {
-            "line_color": [255, 0, 255]
-        },
-        "draw_scan_path": {
-            "draw_fixations": {
-                "deviation_circle_color": [255, 0, 255],
-                "duration_border_color": [127, 0, 127],
-                "duration_factor": 1e-2
-            }, 
-            "draw_saccades": {
-                "line_color": [255, 0, 255]
-            }
-        },
-        "draw_layers": {
-            "MyLayer": {
-                "draw_aoi_scene": {
-                    "draw_aoi": {
-                        "color": [255, 255, 255],
-                        "border_size": 1
-                    }
-                },
-                "draw_aoi_matching": {
-                    "draw_matched_fixation": {
-                        "deviation_circle_color": [255, 255, 255],
-                        "draw_positions": {
-                            "position_color": [0, 255, 0],
-                            "line_color": [0, 0, 0]
-                        }
-                    },
-                    "draw_matched_region": {
-                        "color": [0, 255, 0],
-                        "border_size": 4
-                    }, 
-                    "draw_looked_aoi": {
-                        "color": [0, 255, 0],
-                        "border_size": 2
-                    },
-                    "looked_aoi_name_color": [255, 255, 255],
-                    "looked_aoi_name_offset": [0, -10]
-                }
-            }
-        }
-    }
-}
-```
-
-!!! warning
-    Most of *image_parameters* entries work if related ArFrame/ArLayer pipeline steps are enabled.  
-    For example, JSON *draw_scan_path* entry needs GazeMovementIdentifier and ScanPath steps to be enabled.
-
-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 [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) image thanks to [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()
-```
-
-!!! note "Export to video file"
-
-    Video exportation is detailed in [gaze analysis recording chapter](recording.md).
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