Updating demonstration.

14 files changed, 112 insertions, 1250 deletions

diff --git a/docs/user_guide/utils/demonstrations_scripts.md b/docs/user_guide/utils/demonstrations_scripts.md
index c3a5c9b..a230678 100644
--- a/docs/user_guide/utils/demonstrations_scripts.md
+++ b/docs/user_guide/utils/demonstrations_scripts.md
@@ -9,37 +9,26 @@ Collection of command-line scripts for demonstration purpose.
 !!! note
       *Use -h option to get command arguments documentation.*
 
-## Gaze analysis pipeline demonstration
+## OpenCV window context
 
 Load ArFrame with a single ArLayer from **demo_gaze_analysis_setup.json** file then, simulate gaze position using mouse pointer to illustrate gaze features.
 
 ```shell
-python ./src/argaze/utils/demo_gaze_analysis_run.py ./src/argaze/utils/demo/gaze_analysis_pipeline.json
+python ./src/argaze/utils/context_run.py ./src/argaze/utils/demo/opencv_window_context_setup.json
 ```
 
-## ArUco markers pipeline demonstration
-
-Load ArUcoCamera from **demo_aruco_markers_setup.json** file then, detect ArUco markers into a demo video source and estimate camera pose.
-
-```shell
-python ./src/argaze/utils/demo_aruco_markers_run.py ./src/argaze/utils/demo/aruco_markers_pipeline.json -s ./src/argaze/utils/demo_data/demo.mov
-```
+## Tobii live stream context demonstration
 
 !!! note
-      To reproduce this demonstration with live video source (-s <DEVICE_ID>), print **A3_demo.pdf** file located in *./src/argaze/utils/demo_data/* folder on A3 paper sheet.
-
-## Worn device stream demonstration
+    this demonstration requires to print **A3_demo.pdf** file located in *./src/argaze/utils/demo_data/* folder on A3 paper sheet.
 
-Load ArUcoCamera from a configuration file then, stream and process gaze positions and image from any worn eye-tracker device.
-
-### With Tobii Pro Glasses 2 device
-
-To use a Tobii Pro Glasses 2 device, you need to edit **eyetracker_setup.json** file as below with your own parameters values:
+Edit **tobii_live_stream_context_setup.json** file as below with your own parameters values:
 
 ```json
 {
-    "argaze.utils.eyetrackers.TobiiProGlasses2.LiveStream" : {
-        "address": "10.34.0.12",
+    "argaze.utils.contexts.TobiiProGlasses2.LiveStream" : {
+        "name": "Tobii Pro Glasses 2 live stream",
+        "address": "10.34.0.17",
         "project": "MyProject",
         "participant": "NewParticipant",
         "configuration": {
@@ -51,11 +40,19 @@ To use a Tobii Pro Glasses 2 device, you need to edit **eyetracker_setup.json**
             "sys_et_freq": 50,
             "sys_mems_freq": 100
         },
-        "pipeline": "demo_aruco_markers_setup.json"
+        "pipeline": "aruco_markers_pipeline.json",
+        "image_parameters": {
+            "draw_something": false,
+            "draw_times": true,
+            "draw_exceptions": true
+        }
     }
 }
 ```
 
+Then, execute this command:
+
 ```shell
-python ./src/argaze/utils/pipeline_run.py ./src/argaze/utils/demo/eyetracker_setup.json
-```
\ No newline at end of file
+python ./src/argaze/utils/context_run.py ./src/argaze/utils/demo/tobii_live_stream_context_setup.json
+```
+
diff --git a/docs/user_guide/utils/ready-made_scripts.md b/docs/user_guide/utils/ready-made_scripts.md
index 262a0ef..4767969 100644
--- a/docs/user_guide/utils/ready-made_scripts.md
+++ b/docs/user_guide/utils/ready-made_scripts.md
@@ -9,12 +9,12 @@ Collection of command-line scripts to provide useful features.
 !!! note
       *Use -h option to get command arguments documentation.*
 
-## Eyetracker pipeline handler
+## ArGaze context handler
 
-Load and execute eyetracker pipeline.
+Load and execute any ArGaze context from a JSON CONFIGURATION file.
 
 ```shell
-python ./src/argaze/utils/pipeline_run.py CONFIGURATION
+python ./src/argaze/utils/context_run.py CONFIGURATION
 ```
 
 ## ArUco markers group exporter
diff --git a/src/argaze/ArFeatures.py b/src/argaze/ArFeatures.py
index d78d80a..6b5589e 100644
--- a/src/argaze/ArFeatures.py
+++ b/src/argaze/ArFeatures.py
@@ -1372,7 +1372,9 @@ class ArContext(DataFeatures.PipelineStepObject):
 		self.__pipeline = None
 		self.__exceptions = DataFeatures.TimestampedExceptions()
 
+		# Init gaze position processing assement
 		self.__process_gaze_position_chrono = UtilsFeatures.TimeProbe()
+		self.__process_gaze_position_frequency = 0
         
 		# Init protected attributes
 		self._image_parameters = DEFAULT_ARCONTEXT_IMAGE_PARAMETERS
@@ -1423,7 +1425,7 @@ class ArContext(DataFeatures.PipelineStepObject):
 		return self
 
 	@DataFeatures.PipelineStepEnter
-	def __exit__(self, type, value, traceback):
+	def __exit__(self, exception_type, exception_value, exception_traceback):
 		"""Exit from ArContext."""
 		pass
 
@@ -1432,12 +1434,13 @@ class ArContext(DataFeatures.PipelineStepObject):
 
 		logging.debug('%s._process_gaze_position', type(self).__name__)
 
-		lap_time, nb_laps, elapsed_time = gaze_position_processing_chrono.lap()
+		# Assess gaze position processing frequency
+		lap_time, nb_laps, elapsed_time = self.__process_gaze_position_chrono.lap()
 
 		if elapsed_time > 1e3:
 
-			gaze_positions_frequency = nb_laps
-			gaze_position_processing_chrono.restart()
+			self.__process_gaze_position_frequency = nb_laps
+			self.__process_gaze_position_chrono.restart()
 
 		if issubclass(type(self.__pipeline), ArFrame):
 
@@ -1537,7 +1540,7 @@ class ArContext(DataFeatures.PipelineStepObject):
 					look_time = math.nan
 
 				info_stack += 1
-				cv2.putText(image, f'Look {look_time:.2f}ms', (20, info_stack * 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
+				cv2.putText(image, f'Look {look_time:.2f}ms at {self.__process_gaze_position_frequency}Hz', (20, info_stack * 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
 
 		if draw_exceptions:
 
diff --git a/src/argaze/DataFeatures.py b/src/argaze/DataFeatures.py
index 674a8d9..6ae0603 100644
--- a/src/argaze/DataFeatures.py
+++ b/src/argaze/DataFeatures.py
@@ -660,22 +660,22 @@ def PipelineStepEnter(method):
 def PipelineStepExit(method):
     """Define a decorator use into PipelineStepObject class to wrap pipeline step __exit__ method."""
 
-    def wrapper(self, exception_type, exception_value, exception_traceback):
+    def wrapper(self, *args):
         """Wrap pipeline step __exit__ method to call super, observers and children __exit__ method."""
 
-        PipelineStepObject.__exit__(self, exception_type, exception_value, exception_traceback)
+        PipelineStepObject.__exit__(self, *args)
 
         # Stop observers
         for observer in self.observers:
 
-            observer.__exit__(exception_type, exception_value, exception_traceback)
+            observer.__exit__(*args)
 
         # Stop children pipeline step objects
         for child in self.children:
 
-            child.__exit__(exception_type, exception_value, exception_traceback)
+            child.__exit__(*args)
 
-        method(self, exception_type, exception_value, exception_traceback)
+        method(self, *args)
 
     return wrapper
 
@@ -787,7 +787,7 @@ class PipelineStepObject():
 
         return self
 
-    def __exit__(self, type, value, traceback):
+    def __exit__(self, exception_type, exception_value, exception_traceback):
         """Define default method to exit from pipeline step object context."""
 
         logging.debug('PipelineStepObject.__exit__')
@@ -1077,7 +1077,7 @@ class PipelineStepObserver():
         """
         return self
 
-    def __exit__(self, type, value, traceback):
+    def __exit__(self, exception_type, exception_value, exception_traceback):
         """
         Define abstract __exit__ method to use observer as a context.
 
diff --git a/src/argaze/utils/aruco_camera_configuration_edit.py b/src/argaze/utils/aruco_camera_configuration_edit.py
deleted file mode 100644
index 686f25e..0000000
--- a/src/argaze/utils/aruco_camera_configuration_edit.py
+++ /dev/null
@@ -1,735 +0,0 @@
-#!/usr/bin/env python
-
-""" 
-
-This program is free software: you can redistribute it and/or modify it under
-the terms of the GNU General Public License as published by the Free Software
-Foundation, either version 3 of the License, or (at your option) any later
-version.
-This program is distributed in the hope that it will be useful, but WITHOUT
-ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
-You should have received a copy of the GNU General Public License along with
-this program. If not, see <http://www.gnu.org/licenses/>.
-"""
-
-__author__ = "Théo de la Hogue"
-__credits__ = []
-__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
-__license__ = "GPLv3"
-
-import argparse
-import time
-import itertools
-
-from argaze import ArFeatures, GazeFeatures
-from argaze.AreaOfInterest import AOIFeatures
-from argaze.ArUcoMarkers import ArUcoCamera
-from argaze.utils import UtilsFeatures
-
-from tobiiproglasses2 import *
-
-import cv2
-import numpy
-
-def main():
-    """
-    Load ArUco camera configuration from .json file, detect ArUco markers into movie images and estimate scene pose.
-    Edit configuration to improve pose estimation.
-    """
-
-    # Manage arguments
-    parser = argparse.ArgumentParser(description=main.__doc__.split('-')[0])
-    parser.add_argument('movie', metavar='MOVIE', type=str, default=None, help='movie path')
-    parser.add_argument('configuration', metavar='CONFIGURATION', type=str, help='argaze configuration filepath')
-
-    parser.add_argument('-s','--start', metavar='START', type=float, default=0., help='start time in second')
-    parser.add_argument('-o', '--output', metavar='OUT', type=str, default='edited_configuration.json', help='edited configuration file path')
-    parser.add_argument('-v', '--verbose', action='store_true', default=False, help='enable verbose mode to print information in console')
-
-    args = parser.parse_args()
-
-    # Load configuration
-    aruco_camera = ArUcoCamera.ArUcoCamera.from_json(args.configuration)
-
-    if args.verbose:
-
-        print(aruco_camera)
-
-    # Select first AR scene
-    ar_scene = list(aruco_camera.scenes.values())[0]
-
-    # Create a window to display AR environment
-    cv2.namedWindow(aruco_camera.name, cv2.WINDOW_AUTOSIZE)
-
-    # Init mouse interaction
-    pointer = (0, 0)
-    left_click = (0, 0)
-    right_click = (0, 0)
-    right_drag = (0, 0)
-    right_button = False
-    edit_trans = False # translate
-    edit_z = False
-    snap = False
-    draw_help = False
-    draw_grid = False
-    draw_cover = False
-    pose_mode = 0
-    z_grid = 100.
-
-    # Update pointer position
-    def on_mouse_event(event, x, y, flags, param):
-
-        nonlocal pointer
-        nonlocal left_click
-        nonlocal right_click
-        nonlocal right_drag
-        nonlocal right_button
-
-        # Update pointer
-        pointer = (x, y)
-
-        # Update left_click
-        if event == cv2.EVENT_LBUTTONUP:
-
-            left_click = pointer
-
-        # Udpate right_button
-        elif event == cv2.EVENT_RBUTTONDOWN and not right_button:
-
-            right_button = True
-            right_click = pointer
-
-        elif event == cv2.EVENT_RBUTTONUP and right_button:
-
-            right_button = False
-
-        # Udpate right_drag
-        if right_button:
-
-            right_drag = (pointer[0] - right_click[0], pointer[1] - right_click[1])
-
-    # Attach mouse callback to window
-    cv2.setMouseCallback(aruco_camera.name, on_mouse_event)
-
-    # Enable movie video capture
-    video_capture = cv2.VideoCapture(args.movie)
-
-    video_fps = video_capture.get(cv2.CAP_PROP_FPS)
-    video_width = int(video_capture.get(cv2.CAP_PROP_FRAME_WIDTH))
-    video_height = int(video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT))
-
-    # Enable exit signal handler
-    exit = UtilsFeatures.ExitSignalHandler()
-
-    # Init image selection
-    current_image_index = -1
-    _, current_image = video_capture.read()
-    next_image_index = int(args.start * video_fps)
-    refresh = False
-
-    # Init marker selection
-    scene_markers = {}
-    selected_marker_id = -1
-    hovered_marker_id = -1
-
-    # Init place edition
-    place_edit = {}
-     
-    while not exit.status():
-
-        # Edit fake gaze position from pointer
-        gaze_position = GazeFeatures.GazePosition(pointer, precision=2)
-
-        # Reset info image
-        info_image = numpy.full((850, 1500, 3), 0, dtype=numpy.uint8)
-
-        # Select a new image and detect markers once
-        if next_image_index != current_image_index or refresh or draw_cover:
-
-            video_capture.set(cv2.CAP_PROP_POS_FRAMES, next_image_index)
-
-            success, video_image = video_capture.read()
-
-            if success:
-
-                # Refresh once
-                refresh = False
-
-                current_image_index = video_capture.get(cv2.CAP_PROP_POS_FRAMES) - 1
-                current_image_time = video_capture.get(cv2.CAP_PROP_POS_MSEC)
-
-                # Keep central square
-                cv2.rectangle(video_image, (0, 0), (int((video_width-video_height)/2), int(video_height)), (0, 0, 0), -1)
-                cv2.rectangle(video_image, (int(video_width-(video_width-video_height)/2), 0), (int(video_width), int(video_height)), (0, 0, 0), -1)
-
-                # Hide zone
-                if draw_cover:
-
-                    # Draw black circle under pointer
-                    cv2.circle(video_image, pointer, 50, (0, 0, 0), -1)
-                
-                # Process video image
-                try:
-
-                    aruco_camera.watch(current_image_time, video_image)
-                    exception = None
-
-                except Exception as e:
-
-                    exception = e
-
-                # Update video image
-                video_image = aruco_camera.image()
-
-                # Write exception
-                if exception is not None:
-                
-                    cv2.rectangle(video_image, (0, video_height-50), (video_width, video_height), (0, 0, 127), -1)
-                    cv2.putText(video_image, f'{exception}', (20, video_height-10), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-
-                # Draw gray panel on top
-                cv2.rectangle(video_image, (0, 0), (video_width, 50), (63, 63, 63), -1)
-
-                # Draw camera calibration
-                if draw_grid:
-
-                    cv2.putText(video_image, f'Grid at {z_grid} cm', (500, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-                    aruco_camera.aruco_detector.optic_parameters.draw(video_image, video_width/10, video_height/10, z_grid, color=(127, 127, 127))
-
-                # Write timing
-                cv2.putText(video_image, f'Time: {int(current_image_time)} ms', (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-                
-                # Copy image
-                current_image = video_image.copy()
-
-        # Keep last image
-        else:
-
-            video_image = current_image.copy()
-        '''
-        # Handle scene marker selection on left click
-        if len(scene_markers) > 0:
-
-            # Update selected and hovered markers id
-            selected_marker_id = -1
-            hovered_marker_id = -1
-            for (marker_id, marker) in scene_markers.items():
-
-                marker_aoi = marker.corners.reshape(4, 2).view(AOIFeatures.AreaOfInterest)
-
-                # Select by left clicking on marker
-                if marker_aoi.contains_point(left_click):
-
-                    selected_marker_id = marker_id
-
-                # Hover by pointing on marker
-                if marker_aoi.contains_point(pointer):
-
-                    hovered_marker_id = marker_id
-
-            # Edit marker's color
-            color_list = list(itertools.permutations([0, 255, 255]))
-
-            for i, m in scene_markers.items():
-
-                m.color = color_list[i%len(color_list)]
-
-                if i == selected_marker_id or i == hovered_marker_id:
-                    continue
-
-                if hovered_marker_id > 0:
-                    m.color = (0, 0, 0)
-                else:
-                    m.color = (127, 127, 127)
-
-                # Draw center
-                cv2.circle(video_image, m.center.astype(int), 5, m.color, -1)
-
-            try:
-
-                # A marker is selected
-                if selected_marker_id >= 0:
-
-                    try:
-                        
-                        # Retreive selected marker
-                        selected_marker = scene_markers[selected_marker_id]
-
-                        # Write selected marker id
-                        cv2.rectangle(info_image, (0, 0), (500, 50), selected_marker.color, -1)
-                        cv2.putText(info_image, f'Selected marker #{selected_marker.identifier}', (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                        cv2.rectangle(info_image, (0, 50), (500, video_height), (255, 255, 255), -1)
-
-                        # Write selected marker rotation matrix
-                        R = ArUcoScene.make_euler_rotation_vector(selected_marker.rotation)
-                        cv2.putText(info_image, f'Rotation (camera axis)', (20, 120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{R[0]:.3f}', (40, 160), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{R[1]:.3f}', (40, 200), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{R[2]:.3f}', (40, 240), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-                        
-                        # Write selected marker translation vector
-                        T = selected_marker.translation
-                        cv2.putText(info_image, f'Translation (camera axis):', (20, 320), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{T[0]:.3f}', (40, 360), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{T[1]:.3f}', (40, 400), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{T[2]:.3f}', (40, 440), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-
-                        # Retreive selected marker place
-                        selected_place = ar_scene.aruco_scene.places[selected_marker_id]
-
-                        # On right click
-                        if right_button:
-
-                            pointer_delta_x, pointer_delta_y = right_drag[0] / video_width, right_drag[1] / video_height
-
-                            place_edit[selected_marker_id] = {'rotation': (0, 0, 0), 'translation': (0, 0, 0)}
-
-                            if edit_trans:
-                            
-                                # Edit place rotation
-                                if edit_z:
-                                    place_edit[selected_marker_id]['rotation'] = (0, 0, -pointer_delta_y)
-                                else:
-                                    place_edit[selected_marker_id]['rotation'] = (pointer_delta_y, pointer_delta_x, 0)
-
-                            else:
-
-                                # Edit place translation
-                                if edit_z:
-                                     place_edit[selected_marker_id]['translation'] = (0, 0, pointer_delta_y)
-                                else:
-                                    place_edit[selected_marker_id]['translation'] = (-pointer_delta_x, pointer_delta_y, 0)
-                                   
-                            # Edit transformations
-                            R = ArUcoScene.make_rotation_matrix(*place_edit[selected_marker_id]['rotation']).T
-                            T = numpy.array(place_edit[selected_marker_id]['translation'])
-
-                            # Apply transformations
-                            edited_place = ArUcoScene.Place(selected_place.translation + T, selected_place.rotation.dot(R), selected_marker)
-
-                        else:
-
-                            edited_place = selected_place
-
-                        # A marker is hovered while another is selected
-                        if hovered_marker_id >= 0 and hovered_marker_id != selected_marker_id:
-
-                            # Retreive hovered marker
-                            hovered_marker = scene_markers[hovered_marker_id]
-
-                            # Write hovered marker id
-                            cv2.rectangle(info_image, (500, 0), (1000, 50), hovered_marker.color, -1)
-                            cv2.putText(info_image, f'Hovered marker #{hovered_marker.identifier}', (520, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                            cv2.rectangle(info_image, (500, 50), (1000, video_height), (255, 255, 255), -1)
-
-                            # Write hovered marker rotation matrix
-                            R = ArUcoScene.make_euler_rotation_vector(hovered_marker.rotation)
-                            cv2.putText(info_image, f'Rotation (camera axis)', (520, 120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[0]:.3f}', (540, 160), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[1]:.3f}', (540, 200), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[2]:.3f}', (540, 240), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-                            
-                            # Write hovered marker translation vector
-                            T = hovered_marker.translation
-                            cv2.putText(info_image, f'Translation (camera axis):', (520, 320), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[0]:.3f}', (540, 360), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[1]:.3f}', (540, 400), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[2]:.3f}', (540, 440), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-
-                            # Retreive hovered marker place
-                            hovered_place = ar_scene.aruco_scene.places[hovered_marker_id]
-
-                            # Write hovered place rotation matrix
-                            R = ArUcoScene.make_euler_rotation_vector(hovered_place.rotation)
-                            cv2.putText(info_image, f'Rotation (scene axis):', (520, 500), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[0]:.3f}', (540, 540), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[1]:.3f}', (540, 580), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[2]:.3f}', (540, 620), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-                            
-                            # Write hovered place translation vector
-                            T = hovered_place.translation
-                            cv2.putText(info_image, f'Translation (scene axis):', (520, 700), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[0]:.3f}', (540, 740), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[1]:.3f}', (540, 780), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[2]:.3f}', (540, 820), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-
-                            # Rotation between markers and places
-                            markers_rotation_matrix = hovered_marker.rotation.dot(selected_marker.rotation.T)
-                            places_rotation_matrix = hovered_place.rotation.dot(selected_place.rotation.T)
-
-                            markers_rotation_vector = ArUcoScene.make_euler_rotation_vector(markers_rotation_matrix)
-                            places_rotation_vector = ArUcoScene.make_euler_rotation_vector(places_rotation_matrix)
-
-                            # Translation info between markers and places
-                            markers_translation = hovered_marker.translation - selected_marker.translation
-                            places_translation = hovered_place.translation - selected_place.translation
-
-                            # Write selected/hovered markers id
-                            cv2.rectangle(info_image, (1000, 0), (1500, 50), (63, 63, 63), -1)
-                            cv2.putText(info_image, f'#{selected_marker.identifier} -> #{hovered_marker.identifier}', (1020, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-                            cv2.rectangle(info_image, (1000, 50), (1500, video_height), (190, 190, 190), -1)
-
-                            # Write selected/hovered markers rotation matrix
-                            R = markers_rotation_vector
-                            cv2.putText(info_image, f'Rotation (camera axis)', (1020, 120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[0]:.3f}', (1040, 160), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[1]:.3f}', (1040, 200), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[2]:.3f}', (1040, 240), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-                            
-                            # Write selected/hovered markers translation vector
-                            T = markers_translation
-                            cv2.putText(info_image, f'Translation (camera axis):', (1020, 320), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[0]:.3f}', (1040, 360), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[1]:.3f}', (1040, 400), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[2]:.3f}', (1040, 440), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-
-                            # Write selected/hovered places rotation matrix
-                            R = places_rotation_vector
-                            cv2.putText(info_image, f'Rotation (scene axis):', (1020, 500), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[0]:.3f}', (1040, 540), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[1]:.3f}', (1040, 580), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{R[2]:.3f}', (1040, 620), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-                            
-                            # Write selected/hovered places translation vector
-                            T = places_translation
-                            cv2.putText(info_image, f'Translation (scene axis):', (1020, 700), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[0]:.3f}', (1040, 740), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[1]:.3f}', (1040, 780), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                            cv2.putText(info_image, f'{T[2]:.3f}', (1040, 820), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-
-                            if snap: 
-
-                                # Snap once
-                                snap = False
-
-                                print(f'******* SNAP {selected_marker_id} / {hovered_marker_id} *******')
-
-                                # Edit rotation transformation
-                                #R = places_rotation_matrix.dot(rmat.T).dot(markers_rotation_matrix.T).dot(rmat)
-
-                                #rmat_places_rotation_vector = ArUcoScene.make_euler_rotation_vector(places_rotation_matrix.dot(rmat.T))
-                                rdiff = places_rotation_vector - markers_rotation_vector
-                                R = ArUcoScene.make_rotation_matrix(*rdiff)
-
-                                print(f'markers_rotation_vector: {markers_rotation_vector}')
-                                print(f'places_rotation_vector: {places_rotation_vector}')
-                                print(f'rdiff: {rdiff}')
-                                print(f'R: {ArUcoScene.make_euler_rotation_vector(R)}')
-
-                                # Edit translation transformation
-                                T = (places_translation.dot(rmat.T) - markers_translation).dot(rmat)
-
-                                print(f'markers_translation: {markers_translation} ({numpy.linalg.norm(markers_translation)})')
-                                print(f'places_translation: {places_translation} ({numpy.linalg.norm(places_translation)})')
-                                print(f'T: {T} ({numpy.linalg.norm(T)})')
-
-                                # Apply transformations
-                                edited_place = ArUcoScene.Place(selected_place.translation + T, selected_place.rotation, selected_marker)
-                        
-                        # Write edited place rotation matrix
-                        R = ArUcoScene.make_euler_rotation_vector(edited_place.rotation)
-                        cv2.putText(info_image, f'Rotation (scene axis):', (20, 500), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{R[0]:.3f}', (40, 540), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{R[1]:.3f}', (40, 580), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{R[2]:.3f}', (40, 620), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-                        
-                        # Write edited place translation vector
-                        T = edited_place.translation
-                        cv2.putText(info_image, f'Translation (scene axis):', (20, 700), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{T[0]:.3f}', (40, 740), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{T[1]:.3f}', (40, 780), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)
-                        cv2.putText(info_image, f'{T[2]:.3f}', (40, 820), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 1, cv2.LINE_AA)
-
-                        # Replace selected place by edited place
-                        ar_scene.aruco_scene.places[selected_marker_id] = edited_place
-
-                        # Refresh places consistency
-                        ar_scene.aruco_scene.init_places_consistency()
-
-                        # Estimate scene pose from each marker
-                        cv2.putText(video_image, f'Single marker scene pose estimation', (20, video_height - 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-
-                        for i, m in scene_markers.items():
-
-                            tvec, rmat = ar_scene.aruco_scene.estimate_pose_from_single_marker(m)
-
-                            # Project AOI scene into image according estimated pose
-                            aoi_scene_projection = ar_scene.project(tvec, rmat, visual_hfov=TobiiSpecifications.VISUAL_HFOV)
-
-                            if i == selected_marker_id:
-
-                                # Draw AOI scene projection with gaze
-                                aoi_scene_projection.draw_circlecast(video_image, gaze_position, 1, base_color=m.color, matching_color=(255, 255, 255))
-
-                            else:
-
-                                # Draw AOI scene
-                                aoi_scene_projection.draw(video_image, color=m.color)
-
-                        # Draw expected marker places
-                        ar_scene.draw_places(video_image)
-
-                    # Catch missing selected marker
-                    except KeyError:
-                        
-                        cv2.putText(video_image, f'Marker {selected_marker_id} not found', (20, 120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-
-                # No marker selected
-                else:
-
-                    cv2.putText(info_image, f'Left click on marker to select it', (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-           
-                    if len(scene_markers) > 1:
-
-                        # Check markers consistency
-                        consistent_markers, unconsistent_markers, unconsistencies = ar_scene.aruco_scene.check_markers_consistency(scene_markers, ar_scene.angle_tolerance, ar_scene.distance_tolerance)
-
-                        # No marker hovered
-                        if hovered_marker_id < 0:
-
-                            # Set unconsistent marker color to red 
-                            for i, m in scene_markers.items():
-                                if i in list(unconsistent_markers.keys()) and i != hovered_marker_id:
-                                    m.color = (0, 0, 255)
-
-                        # Write unconsistencies
-                        line = 0
-                        for i, (label, value) in enumerate(unconsistencies['rotation'].items()):
-
-                            current_rotation = value['current']
-                            expected_rotation = value['expected']
-
-                            cv2.putText(info_image, f'Unconsistent rotation {label}: [{current_rotation[0]:.3f} {current_rotation[1]:.3f} {current_rotation[2]:.3f}]', (20, 120+line*40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                            line += 1
-
-                            cv2.putText(info_image, f'Expected rotation {label}: [{expected_rotation[0]:.3f} {expected_rotation[1]:.3f} {expected_rotation[2]:.3f}]', (20, 120+line*40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-                            line += 1
-
-                        for i, (label, value) in enumerate(unconsistencies['translation'].items()):
-
-                            current_translation = value['current']
-                            expected_translation = value['expected']
-
-                            cv2.putText(info_image, f'Unconsistent translation {label}: {current_translation:.3f}', (20, 120+ line*40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA)
-                            line += 1
-
-                            cv2.putText(info_image, f'Expected translation {label}: {expected_translation:.3f}', (20, 120+ line*40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-                            line += 1
-
-                    # Force pose mode to single marker scene pose estimation
-                    else: 
-
-                        pose_mode = 0
-                    
-                    # Single marker scene pose estimation
-                    if pose_mode == 0:
-
-                        cv2.putText(video_image, f'Single marker scene pose estimation', (20, video_height - 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-                
-                        for i, m in scene_markers.items():
-
-                            tvec, rmat = ar_scene.aruco_scene.estimate_pose_from_single_marker(m)
-
-                            # Project AOI scene into image according estimated pose
-                            aoi_scene_projection = ar_scene.project(tvec, rmat, visual_hfov=TobiiSpecifications.VISUAL_HFOV)
-
-                            # Draw AOI scene
-                            aoi_scene_projection.draw(video_image, color=m.color)
-
-                    # Consistent markers scene pose estimation
-                    if pose_mode == 1:
-
-                        cv2.putText(video_image, f'Consistent markers scene pose estimation', (20, video_height - 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-                
-                        tvec, rmat = ar_scene.aruco_scene.estimate_pose_from_markers(consistent_markers)
-
-                        # Project AOI scene into image according estimated pose
-                        aoi_scene_projection = ar_scene.project(tvec, rmat, visual_hfov=TobiiSpecifications.VISUAL_HFOV)
-
-                        # Draw AOI scene
-                        aoi_scene_projection.draw(video_image, color=(255, 255, 255))
-
-                    # ArUco marker axis scene pose estimation
-                    elif pose_mode == 2:
-
-                        # Write pose estimation strategy
-                        cv2.putText(video_image, f'ArUco marker axis scene pose estimation', (20, video_height - 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-                
-                        for axis_name, axis_markers in ar_scene.aruco_axis.items():
-
-                            try:
-
-                                origin_marker = scene_markers[axis_markers['origin_marker']]
-                                horizontal_axis_marker = scene_markers[axis_markers['horizontal_axis_marker']]
-                                vertical_axis_marker = scene_markers[axis_markers['vertical_axis_marker']]
-
-                                tvec, rmat = ar_scene.aruco_scene.estimate_pose_from_axis_markers(origin_marker, horizontal_axis_marker, vertical_axis_marker)
-
-                                # Project AOI scene into image according estimated pose
-                                aoi_scene_projection = ar_scene.project(tvec, rmat, visual_hfov=TobiiSpecifications.VISUAL_HFOV)
-
-                                # Draw AOI scene
-                                aoi_scene_projection.draw(video_image, color=(255, 255, 255))
-
-                                break
-
-                            except:
-                                pass
-
-                    # ArUco AOI scene building
-                    elif pose_mode == 3:
-
-                        # Write pose estimation strategy
-                        cv2.putText(video_image, f'ArUco AOI scene building', (20, video_height - 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-                       
-                        try :
-
-                            # Try to build AOI scene from detected ArUco marker corners
-                            aoi_scene_projection = ar_scene.build_aruco_aoi_scene(scene_markers)
-
-                            # Draw AOI scene
-                            aoi_scene_projection.draw(video_image, color=(255, 255, 255))
-
-                        except:
-                            pass
-
-                        # Draw expected marker places
-                        #ar_scene.draw_places(video_image)
-
-            # Catch exceptions raised by estimate_pose and project methods
-            except (ArFeatures.PoseEstimationFailed) as e:
-
-                cv2.rectangle(video_image, (0, 90), (700, 130), (127, 127, 127), -1)
-                cv2.putText(video_image, f'Error: {e}', (20, 100), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-            
-                # Draw image
-                cv2.imshow(aruco_camera.name, video_image)
-        '''
-
-        # Draw pointer
-        gaze_position.draw(video_image)
-
-        # Write documentation
-        cv2.putText(video_image, f'Press \'h\' for help', (950, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-        '''
-        if draw_help:
-
-            cv2.rectangle(video_image, (0, 50), (700, 300), (127, 127, 127), -1)
-            cv2.putText(video_image, f'> Left click on marker: select marker', (20, 80), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-            cv2.putText(video_image, f'> Left click on image: unselect marker', (20, 120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-            cv2.putText(video_image, f'> T: translate, R: rotate, Z: select axis', (20, 160), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-            cv2.putText(video_image, f'> Right click and drag: edit axis', (20, 200), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-            cv2.putText(video_image, f'> Ctrl + S: save environment', (20, 240), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-            cv2.putText(video_image, f'> Backspace: reload environment', (20, 280), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-
-        # Write selected marker id
-        elif selected_marker_id >= 0:
-
-            cv2.rectangle(video_image, (0, 50), (700, 90), (127, 127, 127), -1)
-
-            # Select color
-            if edit_z:
-                str_axis = 'Z'
-                color_axis = (255, 0, 0)
-            else:
-                str_axis = 'XY'
-                color_axis = (0, 255, 255)
-
-            if edit_trans:
-                cv2.putText(video_image, f'Rotate marker {selected_marker_id} around axis {str_axis}', (20, 80), cv2.FONT_HERSHEY_SIMPLEX, 1, color_axis, 1, cv2.LINE_AA)
-            else:
-                cv2.putText(video_image, f'Translate marker {selected_marker_id} along axis {str_axis}', (20, 80), cv2.FONT_HERSHEY_SIMPLEX, 1, color_axis, 1, cv2.LINE_AA)
-        '''
-        key_pressed = cv2.waitKey(10)
-
-        #if key_pressed != -1:
-        #    print(key_pressed)
-
-        # Select previous image with left arrow
-        if key_pressed == 2:
-            next_image_index -= 1
-
-        # Select next image with right arrow
-        if key_pressed == 3:
-            next_image_index += 1
-
-        # Clip image index
-        if next_image_index < 0:
-            next_image_index = 0
-
-        # Edit rotation with r key
-        if key_pressed == 114:
-            edit_trans = True
-
-        # Edit translation with t key
-        if key_pressed == 116:
-            edit_trans = False
-
-        # Switch Z axis edition
-        if key_pressed == 122:
-            edit_z = not edit_z
-
-        # Snap hovered marker with s key
-        if key_pressed == 115:
-            snap = True
-
-        # Switch help mode with h key
-        if key_pressed == 104:
-            draw_help = not draw_help
-
-        # Switch grid mode with g key
-        if key_pressed == 103:
-            draw_grid = not draw_grid
-            refresh = True
-
-        # Raise z grid with down arrow
-        if key_pressed == 0:
-            z_grid += 10.
-            refresh = True
-
-        # Unraise z grid with up arrow
-        if key_pressed == 1:
-            z_grid -= 10.
-            refresh = True
-
-        # Switch draw_cover mode with c key
-        if key_pressed == 99:
-            draw_cover = not draw_cover
-
-        # Switch pose estimation mode with m key
-        if key_pressed == 109:
-            pose_mode += 1
-            if pose_mode > 3:
-                pose_mode = 0
-
-        # Save selected marker edition using 'Ctrl + s'
-        if key_pressed == 19:
-            aruco_camera.to_json(args.output)
-            print(f'Environment saved into {args.output}')
-
-        # Close window using 'Esc' key
-        if key_pressed == 27:
-            break
-
-        # Reload configuration on 'Backspace' key
-        if key_pressed == 127:
-            aruco_camera = ArUcoCamera.ArUcoCamera.from_json(args.configuration)
-            print(f'Configuration reloaded from {args.configuration}')
-            refresh = True
-
-        # Display video
-        cv2.imshow(aruco_camera.name, video_image)
-
-        # Display info
-        cv2.imshow('Info', info_image)
-
-    # Close movie capture
-    video_capture.release()
-
-    # Stop image display
-    cv2.destroyAllWindows()
-
-if __name__ == '__main__':
-
-    main()
\ No newline at end of file
diff --git a/src/argaze/utils/pipeline_run.py b/src/argaze/utils/context_run.py
index 3a8640f..ace7c54 100644
--- a/src/argaze/utils/pipeline_run.py
+++ b/src/argaze/utils/context_run.py
@@ -31,6 +31,8 @@ parser = argparse.ArgumentParser(description=__doc__.split('-')[0])
 parser.add_argument('configuration', metavar='CONFIGURATION', type=str, help='JSON configuration filepath')
 parser.add_argument('-p', '--patch', metavar='PATCH', type=str, help='JSON configuration patch filepath')
 parser.add_argument('-v', '--verbose', action='store_true', default=False, help='enable verbose mode to print information in console')
+parser.add_argument('-m', '--mouse', action='store_true', default=False, help='use mouse pointer as gaze position')
+
 args = parser.parse_args()
 
 # Manage logging
diff --git a/src/argaze/utils/contexts/OpenCV.py b/src/argaze/utils/contexts/OpenCV.py
new file mode 100644
index 0000000..5a35fba
--- /dev/null
+++ b/src/argaze/utils/contexts/OpenCV.py
@@ -0,0 +1,62 @@
+"""Define OpenCV window display context
+
+This program is free software: you can redistribute it and/or modify it under
+the terms of the GNU General Public License as published by the Free Software
+Foundation, either version 3 of the License, or (at your option) any later
+version.
+This program is distributed in the hope that it will be useful, but WITHOUT
+ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+You should have received a copy of the GNU General Public License along with
+this program. If not, see <http://www.gnu.org/licenses/>.
+"""
+
+__author__ = "Théo de la Hogue"
+__credits__ = []
+__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
+__license__ = "GPLv3"
+
+import sys
+import logging
+import time
+
+from argaze import ArFeatures, DataFeatures, GazeFeatures
+from argaze.utils import UtilsFeatures
+
+import numpy
+import cv2
+
+class Window(ArFeatures.ArContext):
+
+	@DataFeatures.PipelineStepInit
+	def __init__(self, **kwargs):
+
+		# Init parent classes
+		super().__init__()
+
+	@DataFeatures.PipelineStepEnter
+	def __enter__(self):
+
+		logging.info('OpenCV context starts...')
+
+		# Create a window to display context
+		cv2.namedWindow(self.name, cv2.WINDOW_AUTOSIZE)
+
+		# Init timestamp
+		self.__start_time = time.time()
+
+		# Attach mouse event callback to window
+		cv2.setMouseCallback(self.name, self.__on_mouse_event)
+		
+		return self
+
+	def __on_mouse_event(self, event, x, y, flags, param):
+		"""Process pointer position."""
+
+		logging.debug('Window.on_mouse_event %i %i', x, y)
+
+		# Process timestamped gaze position
+		self._process_gaze_position(
+			timestamp = int((time.time() - self.__start_time) * 1e3),
+			x = x,
+			y = y)
\ No newline at end of file
diff --git a/src/argaze/utils/eyetrackers/TobiiProGlasses2.py b/src/argaze/utils/contexts/TobiiProGlasses2.py
index 8b92fef..8b92fef 100644
--- a/src/argaze/utils/eyetrackers/TobiiProGlasses2.py
+++ b/src/argaze/utils/contexts/TobiiProGlasses2.py
diff --git a/src/argaze/utils/eyetrackers/__init__.py b/src/argaze/utils/contexts/__init__.py
index b76cd8b..b76cd8b 100644
--- a/src/argaze/utils/eyetrackers/__init__.py
+++ b/src/argaze/utils/contexts/__init__.py
diff --git a/src/argaze/utils/demo/demo.mov b/src/argaze/utils/demo/demo.mov
deleted file mode 100644
index bba7999..0000000
--- a/src/argaze/utils/demo/demo.mov
+++ /dev/null
diff --git a/src/argaze/utils/demo/opencv_window_context_setup.json b/src/argaze/utils/demo/opencv_window_context_setup.json
new file mode 100644
index 0000000..da7dc78
--- /dev/null
+++ b/src/argaze/utils/demo/opencv_window_context_setup.json
@@ -0,0 +1,10 @@
+{
+    "argaze.utils.contexts.OpenCV.Window" : {
+        "name": "OpenCV Window",
+        "pipeline": "gaze_analysis_pipeline.json",
+        "image_parameters": {
+            "draw_times": true,
+            "draw_exceptions": true
+        }
+    }
+}
\ No newline at end of file
diff --git a/src/argaze/utils/demo/eyetracker_setup.json b/src/argaze/utils/demo/tobii_live_stream_context_setup.json
index 8d47542..275d77f 100644
--- a/src/argaze/utils/demo/eyetracker_setup.json
+++ b/src/argaze/utils/demo/tobii_live_stream_context_setup.json
@@ -1,5 +1,5 @@
 {
-    "argaze.utils.eyetrackers.TobiiProGlasses2.LiveStream" : {
+    "argaze.utils.contexts.TobiiProGlasses2.LiveStream" : {
         "name": "Tobii Pro Glasses 2 live stream",
         "address": "10.34.0.17",
         "project": "MyProject",
diff --git a/src/argaze/utils/demo_aruco_markers_run.py b/src/argaze/utils/demo_aruco_markers_run.py
deleted file mode 100644
index cdd9184..0000000
--- a/src/argaze/utils/demo_aruco_markers_run.py
+++ /dev/null
@@ -1,203 +0,0 @@
-#!/usr/bin/env python
-
-"""Augmented Reality pipeline demo script.
-
-This program is free software: you can redistribute it and/or modify it under
-the terms of the GNU General Public License as published by the Free Software
-Foundation, either version 3 of the License, or (at your option) any later
-version.
-This program is distributed in the hope that it will be useful, but WITHOUT
-ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
-You should have received a copy of the GNU General Public License along with
-this program. If not, see <http://www.gnu.org/licenses/>.
-"""
-
-__author__ = "Théo de la Hogue"
-__credits__ = []
-__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
-__license__ = "GPLv3"
-
-import argparse
-import logging
-import contextlib
-import os
-import time
-
-from argaze import ArFeatures, GazeFeatures
-from argaze.ArUcoMarkers import ArUcoCamera
-from argaze.utils import UtilsFeatures
-
-import cv2
-
-current_directory = os.path.dirname(os.path.abspath(__file__))
-
-# Manage arguments
-parser = argparse.ArgumentParser(description=__doc__.split('-')[0])
-parser.add_argument('configuration', metavar='CONFIGURATION', type=str, help='configuration filepath')
-parser.add_argument('-s', '--source', metavar='SOURCE', type=str, default='0', help='video capture source (a number to select camera device or a filepath to load a movie)')
-parser.add_argument('-v', '--verbose', action='store_true', default=False, help='enable verbose mode to print information in console')
-
-args = parser.parse_args()
-
-# Manage logging
-logging.basicConfig(format = '%(levelname)s: %(message)s', level = logging.DEBUG if args.verbose else logging.INFO)
-
-def main():
-
-    # Load ArUcoCamera
-    with ArUcoCamera.ArUcoCamera.from_json(args.configuration) as aruco_camera:
-
-        if args.verbose:
-
-            print(aruco_camera)
-
-        # Create a window to display ArUcoCamera
-        cv2.namedWindow(aruco_camera.name, cv2.WINDOW_AUTOSIZE)
-
-        # Init timestamp
-        start_time = time.time()
-
-        # Prepare gaze analysis assessment
-        call_chrono = UtilsFeatures.TimeProbe()
-        call_chrono.start()
-
-        gaze_positions_frequency = 0
-        gaze_analysis_time = 0
-
-        # Fake gaze position with mouse pointer
-        def on_mouse_event(event, x, y, flags, param):
-
-            nonlocal gaze_positions_frequency
-            nonlocal gaze_analysis_time
-            
-            # Assess gaze analysis
-            lap_time, nb_laps, elapsed_time = call_chrono.lap()
-
-            if elapsed_time > 1e3:
-
-                gaze_positions_frequency = nb_laps
-                call_chrono.restart()
-
-            # Edit millisecond timestamp
-            timestamp = int((time.time() - start_time) * 1e3)
-
-            #try:
-
-            # Project gaze position into camera
-            aruco_camera.look(GazeFeatures.GazePosition((x, y), timestamp=timestamp))
-
-            # Assess gaze analysis
-            gaze_analysis_time = aruco_camera.execution_times['look']
-
-            #except Exception as e:
-
-            #    print(e)
-            #    gaze_analysis_time = 0
-
-        # Attach mouse callback to window
-        cv2.setMouseCallback(aruco_camera.name, on_mouse_event)
-
-        # Prepare video fps assessment
-        video_fps = 0
-        video_chrono = UtilsFeatures.TimeProbe()
-        video_chrono.start()
-
-        # Prepare visualisation time assessment
-        visualisation_time = 0
-
-        # Enable camera video capture into separate thread
-        video_capture = cv2.VideoCapture(int(args.source) if args.source.isdecimal() else args.source)
-
-        # Waiting for 'ctrl+C' interruption
-        with contextlib.suppress(KeyboardInterrupt):
-
-            # Assess capture time
-            capture_start = time.time()
-
-            # Capture images
-            while video_capture.isOpened():
-
-                # Read video image
-                success, video_image = video_capture.read()
-
-                # Assess capture time
-                capture_time = int((time.time() - capture_start) * 1e3)
-
-                if success:
-
-                    # Assess video fps
-                    lap_time, nb_laps, elapsed_time = video_chrono.lap()
-
-                    if elapsed_time > 1e3:
-
-                        video_fps = nb_laps
-                        video_chrono.restart()
-
-                    #try:
-
-                    # Detect and project AR features
-                    aruco_camera.watch(video_image, timestamp=capture_time)
-
-                    # Detection suceeded
-                    exception = None
-
-                    # Write errors
-                    #except Exception as e:
-
-                    #    exception = e
-
-                    # Assess visualisation time
-                    visualisation_start = time.time()
-
-                    # Get ArUcoCamera frame image
-                    aruco_camera_image = aruco_camera.image()
-
-                    # Get execution times
-                    detection_time = aruco_camera.aruco_detector.execution_times['detect_markers']
-                    projection_time = aruco_camera.execution_times['watch'] - detection_time
-
-                    # Write time info
-                    cv2.rectangle(aruco_camera_image, (0, 0), (aruco_camera.size[0], 100), (63, 63, 63), -1)
-                    cv2.putText(aruco_camera_image, f'{video_fps} FPS | Capture {capture_time}ms | Detection {int(detection_time)}ms | Projection {int(projection_time)}ms | Visualisation {visualisation_time}ms', (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-                    cv2.putText(aruco_camera_image, f'{gaze_positions_frequency} gaze positions/s | Gaze analysis {gaze_analysis_time:.2f}ms', (20, 80), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-
-                    # Handle exceptions
-                    if exception is not None:
-
-                        cv2.rectangle(aruco_camera_image, (0, 100), (aruco_camera.size[0], 80), (127, 127, 127), -1)
-                        cv2.putText(aruco_camera_image, f'error: {exception}', (20, 140), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-
-                    # Write hint
-                    cv2.putText(aruco_camera_image, 'Mouve mouse pointer over gray rectangle area', (20, aruco_camera.size[1]-40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-
-                    # Display ArUcoCamera frame image
-                    cv2.imshow(aruco_camera.name, aruco_camera_image)
-
-                    # Draw and display each scene frames
-                    for scene_frame in aruco_camera.scene_frames():
-
-                        # Display scene frame
-                        cv2.imshow(f'{scene_frame.parent.name}:{scene_frame.name}', scene_frame.image())
-
-                else:
-
-                    # Assess visualisation time
-                    visualisation_start = time.time()
-
-                # Stop by pressing 'Esc' key
-                # NOTE: on MacOS, cv2.waitKey(1) waits ~40ms
-                if cv2.waitKey(1) == 27:
-
-                    # Close camera video capture
-                    video_capture.release()
-
-                # Assess visualisation time
-                visualisation_time = int((time.time() - visualisation_start) * 1e3)
-
-    # Stop image display
-    cv2.destroyAllWindows()
-
-if __name__ == '__main__':
-
-    main()
diff --git a/src/argaze/utils/demo_gaze_analysis_run.py b/src/argaze/utils/demo_gaze_analysis_run.py
deleted file mode 100644
index 16644ce..0000000
--- a/src/argaze/utils/demo_gaze_analysis_run.py
+++ /dev/null
@@ -1,274 +0,0 @@
-#!/usr/bin/env python
-
-"""Gaze analysis pipeline demo script.
-
-This program is free software: you can redistribute it and/or modify it under
-the terms of the GNU General Public License as published by the Free Software
-Foundation, either version 3 of the License, or (at your option) any later
-version.
-This program is distributed in the hope that it will be useful, but WITHOUT
-ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
-You should have received a copy of the GNU General Public License along with
-this program. If not, see <http://www.gnu.org/licenses/>.
-"""
-
-__author__ = "Théo de la Hogue"
-__credits__ = []
-__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
-__license__ = "GPLv3"
-
-import argparse
-import logging
-import contextlib
-import os
-import time
-
-from argaze import ArFeatures, GazeFeatures
-from argaze.GazeAnalysis import *
-from argaze.utils import UtilsFeatures
-
-import cv2
-
-current_directory = os.path.dirname(os.path.abspath(__file__))
-
-# Manage arguments
-parser = argparse.ArgumentParser(description=__doc__.split('-')[0])
-parser.add_argument('configuration', metavar='CONFIGURATION', type=str, help='configuration filepath')
-parser.add_argument('-v', '--verbose', action='store_true', default=False, help='enable verbose mode to print information in console')
-args = parser.parse_args()
-
-# Manage logging
-logging.basicConfig(format = '%(levelname)s: %(message)s', level = logging.DEBUG if args.verbose else logging.INFO)
-
-def main():
-
-    # Load ArFrame
-    with ArFeatures.ArFrame.from_json(args.configuration) as ar_frame:
-
-        if args.verbose:
-
-            print(ar_frame)
-
-        # Create a window to display ArCamera
-        cv2.namedWindow(ar_frame.name, cv2.WINDOW_AUTOSIZE)
-
-        # Heatmap buffer display option
-        enable_heatmap_buffer = False
-
-        # Init timestamp
-        start_time = time.time()
-
-        # Update pointer position
-        def on_mouse_event(event, x, y, flags, param):
-
-            #try: 
-
-                # Project gaze position into frame with millisecond timestamp
-            ar_frame.look(GazeFeatures.GazePosition((x, y), timestamp=int((time.time() - start_time) * 1e3)))
-
-            # Catch pipeline exception
-            #except Exception as e:
-
-            #    print('Gaze projection error:', e)
-
-        # Attach mouse callback to window
-        cv2.setMouseCallback(ar_frame.name, on_mouse_event)
-
-        # Waiting for 'ctrl+C' interruption
-        with contextlib.suppress(KeyboardInterrupt):
-
-            # Draw frame and mouse position analysis
-            while True:
-
-                # Get frame image
-                frame_image = ar_frame.image()
-
-                # Write heatmap buffer manual
-                buffer_on_off = 'on' if enable_heatmap_buffer else 'off'
-                buffer_display_disable = 'disable' if enable_heatmap_buffer else 'enable'
-                cv2.putText(frame_image, f'Heatmap buffer: {buffer_on_off} (Press \'b\' key to {buffer_display_disable})', (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255) if enable_heatmap_buffer else (255, 255, 255), 1, cv2.LINE_AA)
-
-                # Write last 5 steps of aoi scan path
-                path = ''
-                for step in ar_frame.layers["demo_layer"].aoi_scan_path[-5:]:
-
-                    path += f'> {step.aoi} '
-                
-                path += f'> {ar_frame.layers["demo_layer"].aoi_scan_path.current_aoi}'
-
-                cv2.putText(frame_image, path, (20, ar_frame.size[1]-40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-
-                # Display frame analysis
-                analysis = ar_frame.analysis()
-
-                # Display scan path K Coefficient analysis if loaded
-                try:
-
-                    kc_analysis = analysis[KCoefficient.ScanPathAnalyzer]
-                    
-                    # Write raw Kc analysis
-                    if kc_analysis.K < 0.:
-
-                        cv2.putText(frame_image, f'K coefficient: Ambient attention', (20, ar_frame.size[1]-120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-                    
-                    elif kc_analysis.K > 0.:
-
-                        cv2.putText(frame_image, f'K coefficient: Focal attention', (20, ar_frame.size[1]-120), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 0), 1, cv2.LINE_AA)
-
-                except KeyError:
-                    pass
-
-                # Display Nearest Neighbor index analysis if loaded
-                try:
-
-                    nni_analysis = analysis[NearestNeighborIndex.ScanPathAnalyzer]
-
-                    cv2.putText(frame_image, f'Nearest neighbor index: {nni_analysis.nearest_neighbor_index:.3f}', (20, ar_frame.size[1]-320), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-                
-                except KeyError:
-                    pass
-
-                # Display Explore/Exploit ratio analysis if loaded
-                try:
-
-                    xxr_analyser = analysis[ExploreExploitRatio.ScanPathAnalyzer]
-
-                    cv2.putText(frame_image, f'Explore/Exploit ratio: {xxr_analyser.explore_exploit_ratio:.3f}', (20, ar_frame.size[1]-360), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-
-                except KeyError:
-                    pass
-            
-                # Display demo_layer analysis
-                analysis = ar_frame.layers["demo_layer"].analysis()
-
-                # Display Transition matrix analysis if loaded
-                try:
-
-                    transition_matrix_analysis = analysis[TransitionMatrix.AOIScanPathAnalyzer]
-
-                    cv2.putText(frame_image, f'Transition matrix density: {transition_matrix_analysis.transition_matrix_density:.2f}', (20, ar_frame.size[1]-160), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-                    
-                    # Iterate over indexes (departures)
-                    for from_aoi, row in transition_matrix_analysis.transition_matrix_probabilities.iterrows():
-
-                        # Iterate over columns (destinations)
-                        for to_aoi, probability in row.items():
-
-                            if from_aoi != GazeFeatures.OutsideAOI and to_aoi != GazeFeatures.OutsideAOI:
-
-                                if from_aoi != to_aoi and probability > 0.0:
-
-                                    from_center = ar_frame.layers["demo_layer"].aoi_scene[from_aoi].center.astype(int)
-                                    to_center = ar_frame.layers["demo_layer"].aoi_scene[to_aoi].center.astype(int)
-                                    start_line = (0.5 * from_center + 0.5 * to_center).astype(int)
-
-                                    color = [int(probability*200) + 55, int(probability*200) + 55, int(probability*200) + 55]
-
-                                    cv2.line(frame_image, start_line, to_center, color, int(probability*10) + 2)
-                                    cv2.line(frame_image, from_center, to_center, [55, 55, 55], 2)
-                
-                except KeyError:
-                    pass
-            
-                # Display aoi scan path basic metrics analysis if loaded
-                try:
-
-                    basic_analysis = analysis[Basic.AOIScanPathAnalyzer]
-                    
-                    # Write basic analysis
-                    cv2.putText(frame_image, f'Step number: {basic_analysis.steps_number}', (20, ar_frame.size[1]-440), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-                    cv2.putText(frame_image, f'Step fixation duration average: {int(basic_analysis.step_fixation_durations_average)} ms', (20, ar_frame.size[1]-400), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-
-                except KeyError:
-                    pass
-
-                # Display aoi scan path K-modified coefficient analysis if loaded
-                try:
-
-                    aoi_kc_analysis = analysis[KCoefficient.AOIScanPathAnalyzer]
-
-                    # Write aoi Kc analysis
-                    if aoi_kc_analysis.K < 0.:
-
-                        cv2.putText(frame_image, f'K-modified coefficient: Ambient attention', (20, ar_frame.size[1]-80), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-                    
-                    elif aoi_kc_analysis.K > 0.:
-
-                        cv2.putText(frame_image, f'K-modified coefficient: Focal attention', (20, ar_frame.size[1]-80), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 0), 1, cv2.LINE_AA)
-                
-                except KeyError:
-                    pass
-
-                # Display Lempel-Ziv complexity analysis if loaded
-                try:
-
-                    lzc_analysis = analysis[LempelZivComplexity.AOIScanPathAnalyzer]
-
-                    cv2.putText(frame_image, f'Lempel-Ziv complexity: {lzc_analysis.lempel_ziv_complexity}', (20, ar_frame.size[1]-200), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-
-                except KeyError:
-                    pass
-
-                # Display N-Gram analysis if loaded
-                try:
-
-                    ngram_analysis = analysis[NGram.AOIScanPathAnalyzer]
-
-                    # Display only 3-gram analysis
-                    start = ar_frame.size[1] - ((len(ngram_analysis.ngrams_count[3]) + 1) * 40)
-                    cv2.putText(frame_image, f'{ngram_analysis.n_max}-Gram:', (ar_frame.size[0]-700, start-40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-
-                    for i, (ngram, count) in enumerate(ngram_analysis.ngrams_count[3].items()):
-
-                        ngram_string = f'{ngram[0]}'
-                        for g in range(1, 3):
-                            ngram_string += f'>{ngram[g]}'
-
-                        cv2.putText(frame_image, f'{ngram_string}: {count}', (ar_frame.size[0]-700, start+(i*40)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-
-                except KeyError:
-                    pass
-
-                # Display Entropy analysis if loaded
-                try:
-
-                    entropy_analysis = analysis[Entropy.AOIScanPathAnalyzer]
-
-                    cv2.putText(frame_image, f'Stationary entropy: {entropy_analysis.stationary_entropy:.3f},', (20, ar_frame.size[1]-280), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-                    cv2.putText(frame_image, f'Transition entropy: {entropy_analysis.transition_entropy:.3f},', (20, ar_frame.size[1]-240), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-                
-                except KeyError:
-                    pass
-
-                # Display frame image
-                cv2.imshow(ar_frame.name, frame_image)
-
-                key_pressed = cv2.waitKey(10)
-
-                #if key_pressed != -1:
-                #    print(key_pressed)
-
-                # Reload environment with 'h' key
-                if key_pressed == 114:
-
-                    ar_frame = ArFeatures.ArFrame.from_json(args.frame)
-
-                # Enable heatmap buffer with 'b' key
-                if key_pressed == 98:
-
-                    enable_heatmap_buffer = not enable_heatmap_buffer
-
-                    ar_frame.heatmap.buffer = 10 if enable_heatmap_buffer else 0
-                    ar_frame.heatmap.clear()
-
-                # Stop by pressing 'Esc' key
-                if key_pressed == 27:
-                    break
-
-        # Stop frame image display
-        cv2.destroyAllWindows()
-
-if __name__ == '__main__':
-
-    main()