From 02c931780e08bd21bc6b48136a5430a405478047 Mon Sep 17 00:00:00 2001
From: Théo de la Hogue
Date: Thu, 1 Feb 2024 02:04:36 +0100
Subject: Adding VideoWriter class. Using it in demo. Documenting its use.

---
 .../gaze_analysis_pipeline/visualisation.md        | 41 +++-------------------
 1 file changed, 4 insertions(+), 37 deletions(-)

(limited to 'docs/user_guide/gaze_analysis_pipeline/visualisation.md')

diff --git a/docs/user_guide/gaze_analysis_pipeline/visualisation.md b/docs/user_guide/gaze_analysis_pipeline/visualisation.md
index 5f06fac..e046ddf 100644
--- a/docs/user_guide/gaze_analysis_pipeline/visualisation.md
+++ b/docs/user_guide/gaze_analysis_pipeline/visualisation.md
@@ -82,43 +82,6 @@ Here is an extract from the JSON ArFrame configuration file with a sample where
 
 Then, [ArFrame.image](../../argaze.md/#argaze.ArFeatures.ArFrame.image) method can be called in various situations.
 
-## Export to PNG file
-
-Once timestamped gaze positions have been processed by [ArFrame.look](../../argaze.md/#argaze.ArFeatures.ArFrame.look) method, it is possible to write [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) image into a file thanks to [OpenCV package](https://pypi.org/project/opencv-python/).
-
-```python
-import cv2
-
-# Assuming that timestamped gaze positions have been processed by ArFrame.look method
-...
-
-# Export ArFrame image
-cv2.imwrite('./ar_frame.png', ar_frame.image())
-```
-
-## Export to MP4 file
-
-While timestamped gaze positions are processed by [ArFrame.look](../../argaze.md/#argaze.ArFeatures.ArFrame.look) method, it is possible to write [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) image into a video file thanks to [OpenCV package](https://pypi.org/project/opencv-python/).
-
-```python
-import cv2
-
-# Assuming ArFrame is loaded
-...
-
-# Create a video file to save ArFrame
-video = cv2.VideoWriter('ar_frame.avi', cv2.VideoWriter_fourcc(*'MJPG'), 10, ar_frame.size)
-
-# Assuming that timestamped gaze positions are being processed by ArFrame.look method
-...
-
-    # Write ArFrame image into video file
-    video.write(ar_frame.image())
-
-# Close video file
-video.release()
-```
-
 ## 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/).
@@ -147,3 +110,7 @@ if __name__ == '__main__':
 
     main()
 ```
+
+!!! note "Export to video file"
+
+    Video exportation is detailed in [gaze analysis logging chapter](logging.md).
\ No newline at end of file
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