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add facemap interace and aligned timestamps #11

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Apr 17, 2024
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15 changes: 13 additions & 2 deletions src/higley_lab_to_nwb/benisty_2022/benisty_2022_convert_session.py
Original file line number Diff line number Diff line change
@@ -108,7 +108,16 @@ def session_to_nwb(data_dir_path: Union[str, Path], output_dir_path: Union[str,
video_file_path = data_dir_path / session_id / f"{session_id}.avi"
source_data.update(dict(Video=dict(file_paths=[video_file_path], verbose=False)))
conversion_options.update(dict(Video=dict(stub_test=stub_test, external_mode=False)))


# Add Facemap outpt
video_file_path = data_dir_path / session_id / f"{session_id}.avi"
mat_file_path = data_dir_path / session_id / f"{session_id}_proc.mat"
source_data.update(
dict(
FacemapInterface=dict(mat_file_path=str(mat_file_path), video_file_path=str(video_file_path), verbose=False)
)
)

converter = Benisty2022NWBConverter(source_data=source_data)

# Add datetime to conversion
@@ -125,7 +134,9 @@ def session_to_nwb(data_dir_path: Union[str, Path], output_dir_path: Union[str,
metadata = dict_deep_update(metadata, editable_metadata)

# Run conversion
converter.run_conversion(metadata=metadata, nwbfile_path=nwbfile_path, conversion_options=conversion_options)
converter.run_conversion(
metadata=metadata, nwbfile_path=nwbfile_path, conversion_options=conversion_options, overwrite=True
)


if __name__ == "__main__":
Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
nwb-conversion-tools==0.11.1 # Example of specific pinned dependecy
some-extra-package==1.11.3 # Example of another extra package that's necessary for the current conversion
roiextractors @ git+https://github.com/catalystneuro/roiextractors.git@8db5f9cb3a7ee5efee49b7fd0b694c7a8105519a # Github pinned dependency
roiextractors
neuroconv @ git+https://github.com/catalystneuro/neuroconv.git@facemap
ndx-facemap-motionsvd @ git+https://github.com/catalystneuro/ndx-facemap-motionsvd.git@main
Original file line number Diff line number Diff line change
@@ -4,7 +4,7 @@
from higley_lab_to_nwb.benisty_2022.benisty_2022_spike2signals_interface import Benisty2022Spike2SignalsInterface
from higley_lab_to_nwb.benisty_2022.benisty_2022_imaginginterface import Benisty2022ImagingInterface

from neuroconv.datainterfaces import VideoInterface
from neuroconv.datainterfaces import VideoInterface, FacemapInterface


class Benisty2022NWBConverter(NWBConverter):
@@ -13,6 +13,7 @@ class Benisty2022NWBConverter(NWBConverter):
data_interface_classes = dict(
Spike2Signals=Benisty2022Spike2SignalsInterface,
Video=VideoInterface,
FacemapInterface=FacemapInterface,
ImagingBlueExcitationGreenChannel=Benisty2022ImagingInterface,
ImagingBlueExcitationRedChannel=Benisty2022ImagingInterface,
ImagingUVExcitationGreenChannel=Benisty2022ImagingInterface,
@@ -24,14 +25,16 @@ class Benisty2022NWBConverter(NWBConverter):
def temporally_align_data_interfaces(self):
ttlsignal_interface = self.data_interface_objects["Spike2Signals"]
video_interface = self.data_interface_objects["Video"]
facemap_interface = self.data_interface_objects["FacemapInterface"]
video_interface._timestamps = video_interface.get_timestamps()
stream_id = next(
(
stream_id
for stream_id, stream_name in ttlsignal_interface.stream_ids_to_names_map.items()
for stream_id, stream_name in ttlsignal_interface.ttl_stream_ids_to_names_map.items()
if stream_name == "TTLSignalPupilCamera"
),
None,
)
ttl_times = ttlsignal_interface.get_event_times_from_ttl(stream_id=stream_id)
video_interface.set_aligned_starting_time(ttl_times[0])
facemap_interface.set_aligned_starting_time(ttl_times[0])