DataJoint U24 - Workflow DeepLabCut¶

Change into the parent directory to find the dj_local_conf.json file.

In [1]:

import os; from pathlib import Path
# change to the upper level folder to detect dj_local_conf.json
if os.path.basename(os.getcwd())=='notebooks': os.chdir('..')
assert os.path.basename(os.getcwd())=='workflow-deeplabcut', ("Please move to the "
                                                              + "workflow directory")

import os; from pathlib import Path # change to the upper level folder to detect dj_local_conf.json if os.path.basename(os.getcwd())=='notebooks': os.chdir('..') assert os.path.basename(os.getcwd())=='workflow-deeplabcut', ("Please move to the " + "workflow directory")

Drop schemas¶

• Schemas are not typically dropped in a production workflow with real data in it.
• At the developmental phase, it might be required for the table redesign.
• When dropping all schemas is needed, drop items starting with the most downstream.

In [ ]:

from workflow_deeplabcut.pipeline import *

from workflow_deeplabcut.pipeline import *

In [ ]:

# model.schema.drop()
# train.schema.drop()
# session.schema.drop()
# subject.schema.drop()
# lab.schema.drop()

# model.schema.drop() # train.schema.drop() # session.schema.drop() # subject.schema.drop() # lab.schema.drop()