Workflow for face videos processed with Facemap
.
A complete facemap workflow can be built using the DataJoint Elements.
This repository provides demonstrations for:
- Set up a workflow using DataJoint Elements (see workflow_facemap/pipeline.py)
- Ingestion of data/metadata based on a predefined file structure, file naming convention, and directory lookup methods (see workflow_facemap/paths.py).
- Ingestion of segmentation and deconvolution results.
The Facemap workflow presented here uses components from 4 DataJoint
Elements (element-lab
, element-animal
, element-session
,
element-facemap
) assembled together to form a fully functional
workflow.
- The installation instructions can be found at datajoint-elements/install.md.
- Please refer to the following workflow-specific Jupyter notebooks for an in-depth explanation of how to run the workflow (03-process.ipynb) and explore the data (05-explore.ipynb).