Cannot create labelled videos on Windows from videos analyzed on Linux #3562

import deeplabcut
import imageio.v3 as iio
import os
import numpy as np
import pandas as pd

from itertools import chain

iio.imwrite('~/test.mp4',np.zeros((100,128,128,3)))

deeplabcut.create_new_project('PosixPathTest','John',[os.sep.join([os.environ['HOME'],'test.mp4'])])

os.chdir('PosixPathTest-John-2026-10-22') # change to today's date

deeplabcut.extract_frames('config.yaml',userfeedback=False,algo='uniform')

frames = [('labeled-data','test',file.name) for file in os.scandir('labeled-data/test') if file.name.endswith('.png')]
columns = list(chain(*[[('John',bodypart,coord) for coord in 'xy'] for bodypart in ['bodypart1','bodypart2','bodypart3','objectA']]))

df = pd.DataFrame(np.ones((len(frames),len(columns))),columns=pd.MultiIndex.from_tuples(columns,names=['scorer','bodyparts','coords']),index=pd.MultiIndex.from_tuples(frames))

df.to_csv('labeled-data/test/CollectedData_John.csv')
df.to_hdf('labeled-data/test/CollectedData_John.h5',key='df_with_missing')

deeplabcut.create_training_dataset('config.yaml')
deeplabcut.train_network('config.yaml',shuffle=1) # can keyboard interrupt after at least on snapshot is created if you don't want to wait for training to run
deeplabcut.analyze_videos('config.yaml',[os.sep.join([os.environ['HOME'],'test.mp4'])],shuffle=1)

import deeplabcut
config = R'C:\path\to\config.yaml' # update path appropriately
videos = [R'C:\path\to\test.mp4'] # update path appropriately
deeplabcut.create_labeled_video(config,videos,videotype='mp4',shuffle=1)