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Visualize pipeline steps
========================
Visualization is not a pipeline step, but each [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) pipeline step output can be drawn in real-time or afterward, depending on the application purposes.
## 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
{
"argaze.ArFeatures.ArFrame": {
"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, a 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 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()
```
!!! note "Export to video file"
Video exportation is detailed in [gaze analysis recording chapter](recording.md).
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