7 files changed, 10254 insertions, 41 deletions

diff --git a/docs/user_guide/eye_tracking_context/context_modules/file.md b/docs/user_guide/eye_tracking_context/context_modules/file.md
index 8a66b83..5b5c8e9 100644
--- a/docs/user_guide/eye_tracking_context/context_modules/file.md
+++ b/docs/user_guide/eye_tracking_context/context_modules/file.md
@@ -19,13 +19,15 @@ Read more about [ArContext base class in code reference](../../../argaze.md/#arg
 
 ::: argaze.utils.contexts.File.CSV
 
-### JSON sample
+### JSON sample: splitted case
+
+To use when gaze position coordinates are splitted in two separated columns.
 
 ```json
 {
     "argaze.utils.contexts.File.CSV": {
         "name": "CSV file data playback",
-        "path": "./src/argaze/utils/demo/gaze_positions.csv",
+        "path": "./src/argaze/utils/demo/gaze_positions_splitted.csv",
         "timestamp_column": "Timestamp (ms)",
         "x_column": "Gaze Position X (px)",
         "y_column": "Gaze Position Y (px)",
@@ -33,3 +35,41 @@ Read more about [ArContext base class in code reference](../../../argaze.md/#arg
     }
 }
 ```
+
+### JSON sample: joined case
+
+To use when gaze position coordinates are joined as a list in one single column.
+
+```json
+{
+    "argaze.utils.contexts.File.CSV" : {
+        "name": "CSV file data playback",
+        "path": "./src/argaze/utils/demo/gaze_positions_xy_joined.csv",
+        "timestamp_column": "Timestamp (ms)",
+        "xy_column": "Gaze Position (px)",
+        "pipeline": ...
+    }
+}
+```
+
+### JSON sample: left and right eyes
+
+To use when gaze position coordinates and validity are given for each eye in six separated columns.
+
+```json
+{
+    "argaze.utils.contexts.File.CSV": {
+        "name": "CSV file data playback",
+        "path": "./src/argaze/utils/demo/gaze_positions_left_right_eyes.csv",
+        "timestamp_column": "Timestamp (ms)",
+        "left_eye_x_column": "Left eye X",
+        "left_eye_y_column": "Left eye Y",
+        "left_eye_validity_column": "Left eye validity",
+        "right_eye_x_column": "Right eye X",
+        "right_eye_y_column": "Right eye Y",
+        "right_eye_validity_column": "Right eye validity",
+        "rescale_to_pipeline_size": true,
+        "pipeline": ...
+    }
+}
+```
diff --git a/docs/user_guide/utils/demonstrations_scripts.md b/docs/user_guide/utils/demonstrations_scripts.md
index a2698b4..c7560eb 100644
--- a/docs/user_guide/utils/demonstrations_scripts.md
+++ b/docs/user_guide/utils/demonstrations_scripts.md
@@ -22,18 +22,27 @@ python -m argaze load ./src/argaze/utils/demo/random_context.json
 
 ## CSV file context
 
+Load **csv_file_context_xy_joined.json** file to analyze gaze positions from a CSV file where gaze position coordinates are joined as a list in one single column:
+
+```shell
+python -m argaze load ./src/argaze/utils/demo/csv_file_context_xy_joined.json
+```
+
 Load **csv_file_context_xy_splitted.json** file to analyze gaze positions from a CSV file where gaze position coordinates are splitted in two seperated column:
 
 ```shell
 python -m argaze load ./src/argaze/utils/demo/csv_file_context_xy_splitted.json
 ```
 
-Load **csv_file_context_xy_list.json** file to analyze gaze positions from a CSV file where gaze position coordinates are stored as a list in one single column:
+Load **csv_file_context_left_right_eyes.json** file to analyze gaze positions from a CSV file where gaze position coordinates and validity are given for each eye in six separated columns.:
 
 ```shell
-python -m argaze load ./src/argaze/utils/demo/csv_file_context_xy_list.json
+python -m argaze load ./src/argaze/utils/demo/csv_file_context_left_right_eyes.json
 ```
 
+!!! note
+    The left/right eyes context allows to parse Tobii Spectrum data for example.
+
 ## OpenCV
 
 ### Cursor context
diff --git a/src/argaze/utils/contexts/File.py b/src/argaze/utils/contexts/File.py
index 68854b8..bc03df7 100644
--- a/src/argaze/utils/contexts/File.py
+++ b/src/argaze/utils/contexts/File.py
@@ -27,6 +27,7 @@ import pandas
 import numpy
 
 from argaze import ArFeatures, DataFeatures, GazeFeatures
+from argaze.utils import UtilsFeatures
 
 
 class CSV(ArFeatures.DataPlaybackContext):
@@ -45,6 +46,14 @@ class CSV(ArFeatures.DataPlaybackContext):
 		self.__x_column = None
 		self.__y_column = None
 		self.__xy_column = None
+		self.__left_eye_x_column = None
+		self.__left_eye_y_column = None
+		self.__left_eye_validity_column = None
+		self.__right_eye_x_column = None
+		self.__right_eye_y_column = None
+		self.__right_eye_validity_column = None
+
+		self.__rescale_to_pipeline_size = False
 
 		self.__start = math.nan
 		self.__end = math.nan
@@ -88,7 +97,7 @@ class CSV(ArFeatures.DataPlaybackContext):
 	def x_column(self) -> str:
 		"""X coordinate column name.
 		!!! note
-		    This column name is required in the case where gaze position coordinate is splitted in two columns.
+		    This column name is required in the case where gaze position coordinates are splitted in two separated columns.
 		"""
 		return self.__x_column
 
@@ -101,7 +110,7 @@ class CSV(ArFeatures.DataPlaybackContext):
 	def y_column(self) -> str:
 		"""Y coordinate column name.
 		!!! note
-		    This column name is required in the case where gaze position coordinate is splitted in two columns.
+		    This column name is required in the case where gaze position coordinates are splitted in two separated columns.
 		"""
 		return self.__y_column
 
@@ -114,7 +123,7 @@ class CSV(ArFeatures.DataPlaybackContext):
 	def xy_column(self) -> str:
 		"""X and Y coordinate column name.
 		!!! note
-		    This column name is required in the case where gaze position coordinate is a list stored in one column.
+		    This column name is required in the case where gaze position coordinates are joined as a list in one single column.
 		"""
 		return self.__xy_column
 
@@ -124,6 +133,94 @@ class CSV(ArFeatures.DataPlaybackContext):
 		self.__xy_column = xy_column
 
 	@property
+	def left_eye_x_column(self) -> str:
+		"""X coordinate for left eye column name.
+		!!! note
+		    This column name is required in the case where gaze position coordinates and validity are given for each eye in six separated columns.
+		"""
+		return self.__left_eye_x_column
+
+	@left_eye_x_column.setter
+	def left_eye_x_column(self, left_eye_x_column: str):
+
+		self.__left_eye_x_column = left_eye_x_column
+
+	@property
+	def left_eye_y_column(self) -> str:
+		"""Y coordinate for left eye column name.
+		!!! note
+		    This column name is required in the case where gaze position coordinates and validity are given for each eye in six separated columns.
+		"""
+		return self.__left_eye_y_column
+
+	@left_eye_y_column.setter
+	def left_eye_y_column(self, left_eye_y_column: str):
+
+		self.__left_eye_y_column = left_eye_y_column
+
+	@property
+	def left_eye_validity_column(self) -> str:
+		"""Validity of left eye coordinate column name.
+		!!! note
+		    This column name is required in the case where gaze position coordinates and validity are given for each eye in six separated columns.
+		"""
+		return self.__left_eye_validity_column
+
+	@left_eye_validity_column.setter
+	def left_eye_validity_column(self, left_eye_validity_column: str):
+
+		self.__left_eye_validity_column = left_eye_validity_column
+
+	@property
+	def right_eye_x_column(self) -> str:
+		"""X coordinate for right eye column name.
+		!!! note
+		    This column name is required in the case where gaze position coordinates and validity are given for each eye in six separated columns.
+		"""
+		return self.__right_eye_x_column
+
+	@right_eye_x_column.setter
+	def right_eye_x_column(self, right_eye_x_column: str):
+
+		self.__right_eye_x_column = right_eye_x_column
+
+	@property
+	def right_eye_y_column(self) -> str:
+		"""Y coordinate for right eye column name.
+		!!! note
+		    This column name is required in the case where gaze position coordinates and validity are given for each eye in six separated columns.
+		"""
+		return self.__right_eye_y_column
+
+	@right_eye_y_column.setter
+	def right_eye_y_column(self, right_eye_y_column: str):
+
+		self.__right_eye_y_column = right_eye_y_column
+
+	@property
+	def right_eye_validity_column(self) -> str:
+		"""Validity of right eye coordinate column name.
+		!!! note
+		    This column name is required in the case where gaze position coordinates and validity are given for each eye in six separated columns.
+		"""
+		return self.__right_eye_validity_column
+
+	@right_eye_validity_column.setter
+	def right_eye_validity_column(self, right_eye_validity_column: str):
+
+		self.__right_eye_validity_column = right_eye_validity_column
+
+	@property
+	def rescale_to_pipeline_size(self) -> bool:
+		"""Rescale gaze positions to pipeline size."""
+		return self.__rescale_to_pipeline_size
+
+	@rescale_to_pipeline_size.setter 
+	def rescale_to_pipeline_size(self, rescale: bool):
+
+		self.__rescale_to_pipeline_size = rescale
+
+	@property
 	def start(self) -> int|float:
 		"""Start reading timestamp."""
 		return self.__start
@@ -175,7 +272,7 @@ class CSV(ArFeatures.DataPlaybackContext):
 
 			logging.error('Missing timestamp column name')
 
-		# Case where gaze position coordinate is splitted in two columns
+		# Case where gaze position coordinates are splitted in two separated columns
 		if self.__x_column and self.__y_column:
 
 			data_columns.append(self.__x_column)
@@ -184,52 +281,106 @@ class CSV(ArFeatures.DataPlaybackContext):
 			data_columns.append(self.__y_column)
 			data_types[self.__y_column] = numpy.float64
 
-		# Case where gaze position coordinate is a list stored in one column
+		# Case where gaze position coordinates are joined as a list in one single column
 		elif self.__xy_column:
 
 			data_columns.append(self.__xy_column)
 			data_converters[self.__xy_column] = ast.literal_eval
 
-		dataframe = pandas.read_csv(self.__path, delimiter = self.__separator, low_memory = False, usecols=data_columns, dtype=data_types, converters=data_converters)
+		# Case where gaze position coordinates and validity are given for each eye in six separated columns.
+		elif self.__left_eye_x_column and self.__left_eye_y_column and self.__left_eye_validity_column and self.__right_eye_x_column and self.__right_eye_y_column and self.__right_eye_validity_column:
+
+			data_columns.append(self.__left_eye_x_column)
+			data_types[self.__left_eye_x_column] = numpy.float64
+
+			data_columns.append(self.__left_eye_y_column)
+			data_types[self.__left_eye_y_column] = numpy.float64
+
+			data_columns.append(self.__left_eye_validity_column)
+			data_types[self.__left_eye_validity_column] = numpy.bool_
+
+			data_columns.append(self.__right_eye_x_column)
+			data_types[self.__right_eye_x_column] = numpy.float64
+
+			data_columns.append(self.__right_eye_y_column)
+			data_types[self.__right_eye_y_column] = numpy.float64
 
-		# DEBUG
-		print(dataframe)
+			data_columns.append(self.__right_eye_validity_column)
+			data_types[self.__right_eye_validity_column] = numpy.bool_
+
+		dataframe = pandas.read_csv(self.__path, delimiter = self.__separator, low_memory = False, usecols=data_columns, dtype=data_types, converters=data_converters)
 
 		# Optionnaly select a time range
 		if not math.isnan(self.start):
 
-			dataframe = dataframe.loc[(dataframe['timestamp'] >= self.start)]
+			dataframe = dataframe.loc[(dataframe[self.__timestamp_column] >= self.start)]
 
 		if not math.isnan(self.end):
 
-			dataframe = dataframe.loc[(dataframe['timestamp'] <= self.end)]
+			dataframe = dataframe.loc[(dataframe[self.__timestamp_column] <= self.end)]
+
+		# Transform dataframe to a get timestamp, x, y, validity columns
 
-		# Transform dataframe to a get only timestamp, x, y columns
+		# First, rename timestamp column
+		dataframe.rename(columns={self.__timestamp_column: 'timestamp'}, inplace=True)
 
-		# Case where gaze position coordinate is splitted in two columns
+		# Case where gaze position coordinates are splitted in two separated columns
 		if self.__x_column and self.__y_column:
 
-			dataframe.rename(columns={
-					self.__timestamp_column: 'timestamp',
-					self.__x_column: 'x', 
-					self.__y_column: 'y'
-				}, inplace=True)
+			dataframe.rename(columns={self.__x_column: 'x',self.__y_column: 'y'}, inplace=True)
 
-		# Case where gaze position coordinate is a list stored in one column
+		# Case where gaze position coordinates are joined as a list in one single column
 		elif self.__xy_column:
 
-			dataframe.rename(columns={
-					self.__timestamp_column: 'timestamp',
-				}, inplace=True)
-
 			dataframe[['x','y']] = pandas.DataFrame(dataframe[self.__xy_column].to_list(), columns=['x','y'])
 
-		# Filter unvalid gaze positions
-		len_before = len(dataframe)
-		dataframe = dataframe[(dataframe['x'].notna() & dataframe['y']).notna()]
-
-		if len(dataframe) != len_before:
-			logging.info('%i unvalid gaze positions have been removed', len_before - len(dataframe))
+		# Case where gaze position coordinates and validity are given for each eye in six separated columns.
+		elif self.__left_eye_x_column and self.__left_eye_y_column and self.__left_eye_validity_column and self.__right_eye_x_column and self.__right_eye_y_column and self.__right_eye_validity_column:
+
+			# Edit gaze position X coordinate as the mean of left and right eyes positions if both are valid else select the valid one
+			dataframe['x'] = numpy.where(
+				dataframe[self.__left_eye_validity_column] & dataframe[self.__right_eye_validity_column],
+				(dataframe[self.__left_eye_x_column] + dataframe[self.__right_eye_x_column]) / 2,
+				numpy.where(
+					dataframe[self.__left_eye_validity_column],
+					dataframe[self.__left_eye_x_column],
+					numpy.where(
+						dataframe[self.__right_eye_validity_column],
+						dataframe[self.__right_eye_x_column],
+						None
+					)
+				)
+			)
+
+			# Edit gaze position Y coordinate as the mean of left and right eyes positions if both are valid else select the valid one
+			dataframe['y'] = numpy.where(
+				dataframe[self.__left_eye_validity_column] & dataframe[self.__right_eye_validity_column],
+				(dataframe[self.__left_eye_y_column] + dataframe[self.__right_eye_y_column]) / 2,
+				numpy.where(
+					dataframe[self.__left_eye_validity_column],
+					dataframe[self.__left_eye_y_column],
+					numpy.where(
+						dataframe[self.__right_eye_validity_column],
+						dataframe[self.__right_eye_y_column],
+						None
+					)
+				)
+			)
+
+		# Mark unvalid gaze positions
+		dataframe[['validity']] = pandas.DataFrame(dataframe['x'].notna() & dataframe['y'].notna())
+		unvalid_count = len(dataframe[dataframe['validity'] == False])
+
+		if unvalid_count:
+			logging.info('%i unvalid gaze positions have been detected', unvalid_count)
+
+		# Scale valid gaze positions to pipeline size
+		if self.__rescale_to_pipeline_size:
+
+			dataframe.loc[dataframe['validity'], 'x'] *= self.pipeline.size[0]
+			dataframe.loc[dataframe['validity'], 'y'] *= self.pipeline.size[1]
+
+			logging.info('gaze positions have been scaled to pipeline size')
 
 		# Open reading thread
 		self.__reading_thread = threading.Thread(target=self.__read, kwargs={'dataframe': dataframe})
@@ -251,13 +402,14 @@ class CSV(ArFeatures.DataPlaybackContext):
 	def __read(self, dataframe: pandas.DataFrame):
 		"""Read and process gaze positions from dataframe."""
 
-		start_ts = dataframe.iloc[0].timestamp
-		end_ts = dataframe.iloc[-1].timestamp
+		# Setup start and end dates
+		start_ts = dataframe.iloc[0].timestamp if math.isnan(self.start) else self.start
+		end_ts = dataframe.iloc[-1].timestamp if math.isnan(self.end) else self.end
 
 		self.__duration = end_ts - start_ts
 		self.__progression = 0.
 
-		logging.info('Reading %i gaze positions from %f to %f...', len(dataframe), start_ts, end_ts)
+		logging.info('Reading %i gaze positions from %f to %f', len(dataframe), start_ts, end_ts)
 
 		for index, row in dataframe.iterrows():
 
@@ -275,8 +427,4 @@ class CSV(ArFeatures.DataPlaybackContext):
 			self._process_gaze_position(x = row['x'], y = row['y'], timestamp = row['timestamp'])
 
 			# Update progression
-			self.__progression = row['timestamp'] / self.__duration
-
-			# TEST
-			time.sleep(0.01)
-		
\ No newline at end of file
+			self.__progression = (row['timestamp'] - start_ts) / self.__duration
diff --git a/src/argaze/utils/demo/csv_file_context_left_right_eyes.json b/src/argaze/utils/demo/csv_file_context_left_right_eyes.json
new file mode 100644
index 0000000..6450801
--- /dev/null
+++ b/src/argaze/utils/demo/csv_file_context_left_right_eyes.json
@@ -0,0 +1,15 @@
+{
+    "argaze.utils.contexts.File.CSV": {
+        "name": "CSV file data playback",
+        "path": "./src/argaze/utils/demo/gaze_positions_left_right_eyes.csv",
+        "timestamp_column": "Timestamp (ms)",
+        "left_eye_x_column": "Left eye X",
+        "left_eye_y_column": "Left eye Y",
+        "left_eye_validity_column": "Left eye validity",
+        "right_eye_x_column": "Right eye X",
+        "right_eye_y_column": "Right eye Y",
+        "right_eye_validity_column": "Right eye validity",
+        "rescale_to_pipeline_size": true,
+        "pipeline": "gaze_analysis_pipeline.json"
+    }
+}
\ No newline at end of file
diff --git a/src/argaze/utils/demo/csv_file_context_xy_list.json b/src/argaze/utils/demo/csv_file_context_xy_joined.json
index 2030b8b..2d32b6d 100644
--- a/src/argaze/utils/demo/csv_file_context_xy_list.json
+++ b/src/argaze/utils/demo/csv_file_context_xy_joined.json
@@ -1,7 +1,7 @@
 {
     "argaze.utils.contexts.File.CSV" : {
         "name": "CSV file data playback",
-        "path": "./src/argaze/utils/demo/gaze_positions_xy_list.csv",
+        "path": "./src/argaze/utils/demo/gaze_positions_xy_joined.csv",
         "timestamp_column": "Timestamp (ms)",
         "xy_column": "Gaze Position (px)",
         "pipeline": "gaze_analysis_pipeline.json"
diff --git a/src/argaze/utils/demo/gaze_positions_left_right_eyes.csv b/src/argaze/utils/demo/gaze_positions_left_right_eyes.csv
new file mode 100644
index 0000000..27f470e
--- /dev/null
+++ b/src/argaze/utils/demo/gaze_positions_left_right_eyes.csv
@@ -0,0 +1,10001 @@
+"Timestamp (ms)","Left eye X","Left eye Y","Left eye validity","Right eye X","Right eye Y","Right eye validity"

+3900001,0.6845667958259583,0.815993070602417,True,0.7289406061172485,0.8304881453514099,True

+3900011,0.6792497634887695,0.8160922527313232,True,0.7196134328842163,0.8297447562217712,True

+3900021,0.6833301186561584,0.823641836643219,True,0.7219937443733215,0.8200392723083496,True

+3900031,0.6823126077651978,0.8253753185272217,True,0.7191641926765442,0.8279540538787842,True

+3900041,0.6835184097290039,0.8225938677787781,True,0.7223926782608032,0.8339207172393799,True

+3900051,0.6838327646255493,0.8208820223808289,True,0.7243591547012329,0.8138483762741089,True

+3900061,0.6853344440460205,0.8275117874145508,True,0.7234452366828918,0.8268319368362427,True

+3900071,0.6835964918136597,0.8219563961029053,True,0.7233908772468567,0.8209843039512634,True

+3900081,0.6863177418708801,0.8289506435394287,True,0.7124441266059875,0.8282802104949951,True

+3900091,0.6854949593544006,0.8222254514694214,True,0.7253992557525635,0.8256697058677673,True

+3900101,0.6849215030670166,0.8237974643707275,True,0.7245864272117615,0.821822464466095,True

+3900111,0.715420663356781,0.7925711870193481,True,0.7688331604003906,0.8110724687576294,True

+3900121,0.752351701259613,0.7471020817756653,True,0.804560124874115,0.7542709708213806,True

+3900131,0.7613399624824524,0.7607189416885376,True,0.7997848391532898,0.761088490486145,True

+3900141,0.7562602162361145,0.7599729895591736,True,0.7939102053642273,0.7655518054962158,True

+3900151,0.7550341486930847,0.7576929330825806,True,0.7924315929412842,0.7656151056289673,True

+3900161,0.7564232349395752,0.758611798286438,True,0.7950515151023865,0.7719168066978455,True

+3900171,0.7617986798286438,0.7570843696594238,True,0.796308696269989,0.7680800557136536,True

+3900181,0.7607498168945312,0.7653225660324097,True,0.8002505302429199,0.761861264705658,True

+3900191,0.7583614587783813,0.7673925161361694,True,0.7969763278961182,0.7671250104904175,True

+3900201,0.7596035003662109,0.7587283253669739,True,0.7990138530731201,0.7695882320404053,True

+3900211,0.7582758665084839,0.7631857395172119,True,0.7995763421058655,0.7660250663757324,True

+3900221,0.7601925134658813,0.7555603384971619,True,0.7979300618171692,0.7690660357475281,True

+3900231,0.7606302499771118,0.7586659789085388,True,0.8030794858932495,0.7638450860977173,True

+3900241,0.7595384120941162,0.7604820728302002,True,0.7967820763587952,0.7792191505432129,True

+3900251,0.7601291537284851,0.7606731653213501,True,0.7987337112426758,0.760553240776062,True

+3900261,0.7591041326522827,0.7547239661216736,True,0.7990981340408325,0.7659909725189209,True

+3900271,0.7589188814163208,0.7610510587692261,True,0.7953287363052368,0.7656656503677368,True

+3900281,0.7606838345527649,0.7565242648124695,True,0.8026875853538513,0.7595406174659729,True

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diff --git a/src/argaze/utils/demo/gaze_positions_xy_list.csv b/src/argaze/utils/demo/gaze_positions_xy_joined.csv
index 759b897..759b897 100644
--- a/src/argaze/utils/demo/gaze_positions_xy_list.csv
+++ b/src/argaze/utils/demo/gaze_positions_xy_joined.csv