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-rw-r--r--docs/user_guide/utils/demonstrations_scripts.md8
-rw-r--r--src/argaze/utils/contexts/File.py213
-rw-r--r--src/argaze/utils/demo/csv_file_context.json10
-rw-r--r--src/argaze/utils/demo/gaze_positions.csv1052
4 files changed, 1283 insertions, 0 deletions
diff --git a/docs/user_guide/utils/demonstrations_scripts.md b/docs/user_guide/utils/demonstrations_scripts.md
index 277f380..e55e547 100644
--- a/docs/user_guide/utils/demonstrations_scripts.md
+++ b/docs/user_guide/utils/demonstrations_scripts.md
@@ -20,6 +20,14 @@ Load **random_context.json** file to generate random gaze positions:
python -m argaze load ./src/argaze/utils/demo/random_context.json
```
+## CSV file context
+
+Load **csv_file_context.json** file to analyze gaze positions from a CSV file:
+
+```shell
+python -m argaze load ./src/argaze/utils/demo/csv_file_context.json
+```
+
## OpenCV
### Cursor context
diff --git a/src/argaze/utils/contexts/File.py b/src/argaze/utils/contexts/File.py
new file mode 100644
index 0000000..91c64e2
--- /dev/null
+++ b/src/argaze/utils/contexts/File.py
@@ -0,0 +1,213 @@
+"""Define eye tracking data file 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 <https://www.gnu.org/licenses/>.
+"""
+
+__author__ = "Théo de la Hogue"
+__credits__ = []
+__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
+__license__ = "GPLv3"
+
+import logging
+import time
+import math
+import threading
+
+import pandas
+import numpy
+
+from argaze import ArFeatures, DataFeatures, GazeFeatures
+
+
+class CSV(ArFeatures.DataPlaybackContext):
+
+ @DataFeatures.PipelineStepInit
+ def __init__(self, **kwargs):
+
+ # Init ArContext class
+ super().__init__()
+
+ # Init private attributes
+ self.__path = None
+ self.__separator = ','
+ self.__timestamp_column = None
+ self.__x_column = None
+ self.__y_column = None
+ self.__start = math.nan
+ self.__end = math.nan
+ self.__duration = 0.
+ self.__progression = 0.
+
+ @property
+ def path(self) -> str:
+ """Path to data file."""
+ return self.__path
+
+ @path.setter
+ def path(self, path: str):
+
+ self.__path = path
+
+ @property
+ def separator(self) -> str:
+ """Value delimiter character"""
+ return self.__separator
+
+ @separator.setter
+ def separator(self, separator: str):
+
+ self.__separator = separator
+
+ @property
+ def timestamp_column(self) -> str:
+ """Select timestamp column."""
+ return self.__timestamp_column
+
+ @timestamp_column.setter
+ def timestamp_column(self, timestamp_column: str):
+
+ self.__timestamp_column = timestamp_column
+
+ @property
+ def x_column(self) -> str:
+ """Select x column."""
+ return self.__x_column
+
+ @x_column.setter
+ def x_column(self, x_column: str):
+
+ self.__x_column = x_column
+
+ @property
+ def y_column(self) -> str:
+ """Select y column."""
+ return self.__y_column
+
+ @y_column.setter
+ def y_column(self, y_column: str):
+
+ self.__y_column = y_column
+ @property
+ def start(self) -> int|float:
+ """Start reading timestamp."""
+ return self.__start
+
+ @start.setter
+ def start(self, start: int|float):
+
+ self.__start = start
+
+ @property
+ def end(self) -> int|float:
+ """End reading timestamp."""
+ return self.__end
+
+ @end.setter
+ def end(self, end: int|float):
+
+ self.__end = end
+
+ @property
+ def duration(self) -> int|float:
+ """Get data duration."""
+
+ return self.__duration
+
+ @property
+ def progression(self) -> float:
+ """Get data processing progression between 0 and 1."""
+
+ return self.__progression
+
+ @DataFeatures.PipelineStepEnter
+ def __enter__(self):
+
+ logging.info('CSV file context starts...')
+
+ # Load gaze positions from a CSV file into Panda Dataframe
+ data_selector = {
+ self.__timestamp_column: numpy.float64,
+ self.__x_column: numpy.float64,
+ self.__y_column: numpy.float64
+ }
+
+ dataframe = pandas.read_csv(self.__path, delimiter = self.__separator, low_memory = False, usecols=data_selector.keys(), dtype=data_selector)
+
+ # Rename columns with generic names
+ dataframe.rename(columns={
+ self.__timestamp_column: 'timestamp',
+ self.__x_column: 'x',
+ self.__y_column: 'y'
+ }, inplace=True)
+
+ # Optionnaly select a time range
+ if not math.isnan(self.start):
+
+ dataframe = dataframe.loc[(dataframe['timestamp'] >= self.start)]
+
+ if not math.isnan(self.end):
+
+ dataframe = dataframe.loc[(dataframe['timestamp'] <= self.end)]
+
+ # 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))
+
+ # Open reading thread
+ self.__reading_thread = threading.Thread(target=self.__read, kwargs={'dataframe': dataframe})
+
+ logging.debug('> starting reading thread...')
+ self.__reading_thread.start()
+
+ @DataFeatures.PipelineStepExit
+ def __exit__(self, exception_type, exception_value, exception_traceback):
+
+ logging.info('CSV file context stops...')
+
+ # Close data stream
+ self.stop()
+
+ # Stop reading thread
+ threading.Thread.join(self.__reading_thread)
+
+ 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
+
+ self.__duration = end_ts - start_ts
+ self.__progression = 0.
+
+ logging.info('Reading %i gaze positions from %s to %s...', len(dataframe), f'{start_ts}', f'{end_ts}')
+
+ for index, row in dataframe.iterrows():
+
+ # Stop reading
+ if not self.is_running():
+
+ break
+
+ # Pause reading
+ while self.is_paused() and self.is_running():
+
+ time.sleep(0.1)
+
+ # Process gaze position
+ self._process_gaze_position(x = row['x'], y = row['y'], timestamp = row['timestamp'])
+
+ # Update progression
+ self.__progression = row['timestamp'] / self.__duration
+
diff --git a/src/argaze/utils/demo/csv_file_context.json b/src/argaze/utils/demo/csv_file_context.json
new file mode 100644
index 0000000..a09914f
--- /dev/null
+++ b/src/argaze/utils/demo/csv_file_context.json
@@ -0,0 +1,10 @@
+{
+ "argaze.utils.contexts.File.CSV" : {
+ "name": "CSV file data playback",
+ "path": "./src/argaze/utils/demo/gaze_positions.csv",
+ "timestamp_column": "Timestamp (ms)",
+ "x_column": "Gaze Position X (px)",
+ "y_column": "Gaze Position Y (px)",
+ "pipeline": "gaze_analysis_pipeline.json"
+ }
+} \ No newline at end of file
diff --git a/src/argaze/utils/demo/gaze_positions.csv b/src/argaze/utils/demo/gaze_positions.csv
new file mode 100644
index 0000000..558c995
--- /dev/null
+++ b/src/argaze/utils/demo/gaze_positions.csv
@@ -0,0 +1,1052 @@
+"Timestamp (ms)","Gaze Position X (px)","Gaze Position Y (px)"
+6016,400,443
+6056,400,443
+6106,401,443
+6128,401,443
+6168,401,442
+6367,401,442
+6409,401,442
+6486,401,442
+7310,408,433
+7334,415,427
+7375,435,412
+7397,441,409
+7438,445,405
+7472,446,405
+7509,446,404
+7532,446,404
+7570,449,392
+7593,450,384
+7631,450,378
+7653,450,377
+7705,432,371
+7730,415,365
+7766,390,353
+7788,376,345
+7828,334,318
+7847,318,306
+7890,296,288
+7912,286,277
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+7978,275,256
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+8392,267,228
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