We ran the Testcase_landmarker.py script and created the study with id 918.
If we run the dump_results.py script on that study, we notice that there are 3 face_landmark files associated with e.g. user 36.
e.g. using find_timeseries we get 5 timeseries (see below)
We would expect only 1 landmark file per user.
[{'id': 1674,
'stage_id': 2519,
'study_definition_id': 918,
'protocol_definition_id': 917,
'phase_definition_id': 1037,
'component_id': None,
'file': "{'url': '/uploads/study_result/time_series/file/1674/face_landmark.json'}",
'schema': 'face_landmark_json',
'schema_metadata': None,
'created_at': <pyswagger.primitives._time.Datetime at 0x1b9f2869640>,
'updated_at': <pyswagger.primitives._time.Datetime at 0x1b9f2869be0>},
{'id': 1675,
'stage_id': 2519,
'study_definition_id': 918,
'protocol_definition_id': 917,
'phase_definition_id': 1037,
'component_id': None,
'file': "{'url': '/uploads/study_result/time_series/file/1675/face_landmark.json'}",
'schema': 'face_landmark_json',
'schema_metadata': None,
'created_at': <pyswagger.primitives._time.Datetime at 0x1b9f2869490>,
'updated_at': <pyswagger.primitives._time.Datetime at 0x1b9f2869a60>},
{'id': 1676,
'stage_id': 2519,
'study_definition_id': 918,
'protocol_definition_id': 917,
'phase_definition_id': 1037,
'component_id': None,
'file': "{'url': '/uploads/study_result/time_series/file/1676/face_landmark.json'}",
'schema': 'face_landmark_json',
'schema_metadata': None,
'created_at': <pyswagger.primitives._time.Datetime at 0x1b9f2869820>,
'updated_at': <pyswagger.primitives._time.Datetime at 0x1b9f2869850>},
{'id': 1677,
'stage_id': 2519,
'study_definition_id': 918,
'protocol_definition_id': 917,
'phase_definition_id': 1037,
'component_id': None,
'file': "{'url': '/uploads/study_result/time_series/file/1677/mouse.tsv'}",
'schema': 'mouse_tsv',
'schema_metadata': None,
'created_at': <pyswagger.primitives._time.Datetime at 0x1b9f2869040>,
'updated_at': <pyswagger.primitives._time.Datetime at 0x1b9f21c18b0>},
{'id': 1678,
'stage_id': 2519,
'study_definition_id': 918,
'protocol_definition_id': 917,
'phase_definition_id': 1037,
'component_id': None,
'file': "{'url': '/uploads/study_result/time_series/file/1678/webgazer.tsv'}",
'schema': 'webgazer_tsv',
'schema_metadata': None,
'created_at': <pyswagger.primitives._time.Datetime at 0x1b9f21c1280>,
'updated_at': <pyswagger.primitives._time.Datetime at 0x1b9f21c1ca0>}]
The first 2 files have only 1 frame and the last one has all the frames.
We ran the Testcase_landmarker.py script and created the study with id 918.
https://elicit-experiment.com/studies/918/protocols/917
If we run the dump_results.py script on that study, we notice that there are 3 face_landmark files associated with e.g. user 36.
e.g. using find_timeseries we get 5 timeseries (see below)
We would expect only 1 landmark file per user.
The first 2 files have only 1 frame and the last one has all the frames.