npc_mvr
Tools for reading raw video data from MindScope Neuropixels experiments, compatible with data in the cloud.
Usage
conda create -n npc_mvr python>=3.9
conda activate npc_mvr
pip install npc_mvr
Python
>>> import npc_mvr
>>> d = npc_mvr.MVRDataset('s3://aind-ephys-data/ecephys_670248_2023-08-03_12-04-15/behavior')
# get paths
>>> d.video_paths['behavior']
S3Path('s3://aind-ephys-data/ecephys_670248_2023-08-03_12-04-15/behavior/Behavior_20230803T120430.mp4')
>>> d.info_paths['behavior']
S3Path('s3://aind-ephys-data/ecephys_670248_2023-08-03_12-04-15/behavior/Behavior_20230803T120430.json')
# get data
>>> type(d.video_data['behavior'])
<class 'cv2.VideoCapture'>
>>> type(d.info_data['behavior'])
<class 'dict'>
>>> type(d.sync_data)
<class 'npc_sync.sync.SyncDataset'>
# get frame times for each camera on sync clock
# - nans correspond to frames not recorded on sync
# - first nan is metadata frame
>>> d.frame_times['behavior']
array([ nan, 14.08409, 14.10075, ..., 5084.4582 , 5084.47487, 5084.49153])
>>> d.validate()
Development
See instructions in https://github.com/AllenInstitute/npc_mvr/CONTRIBUTING.md and the original template: https://github.com/AllenInstitute/copier-pdm-npc/blob/main/README.md
1 maintainer
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