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-rw-r--r--docs/user_guide/eye_tracking_context/context_modules/file.md44
-rw-r--r--docs/user_guide/utils/demonstrations_scripts.md13
-rw-r--r--src/argaze/utils/contexts/File.py220
-rw-r--r--src/argaze/utils/demo/csv_file_context_left_right_eyes.json15
-rw-r--r--src/argaze/utils/demo/csv_file_context_xy_joined.json (renamed from src/argaze/utils/demo/csv_file_context_xy_list.json)2
-rw-r--r--src/argaze/utils/demo/gaze_positions_left_right_eyes.csv10001
-rw-r--r--src/argaze/utils/demo/gaze_positions_xy_joined.csv (renamed from src/argaze/utils/demo/gaze_positions_xy_list.csv)0
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
+3900291,0.7576554417610168,0.7561178207397461,True,0.7985330820083618,0.7577304244041443,True
+3900301,0.7616546750068665,0.754430890083313,True,0.7941582202911377,0.7665228843688965,True
+3900311,0.7610070705413818,0.7607320547103882,True,0.8012813329696655,0.7651253342628479,True
+3900321,0.7442606687545776,0.7520452737808228,True,0.7886985540390015,0.7658536434173584,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