OSError: [Errno 9] Bad file descriptor when trying to implement scientific code in Python

Question

I'm currently trying to use the Python package trackpy and pims to track the position of certain particles in a fluid. I have .tiff files for each frame of the particle movement.

import numpy as np
%matplotlib inline
import matplotlib as mpl
import matplotlib.pyplot as plt
from scipy.ndimage.interpolation import zoom
import pandas as pd
import trackpy as tp
import pims
from scipy.optimize import curve_fit

v = pims.ImageSequence('Capture_*.tiff')
v = pims.as_grey(v)

f = tp.locate(v[0], 5, minmass=20, maxsize=3, invert=True)

f = tp.batch(v[:], 5, minmass=20, maxsize=3, invert=True)

I'm using the tp.batch function to locate the particles of each frame. However, when I do that I get the error below. I'm unsure how to fix this issue. I've noticed that if I rerun the function I get the error at a different frame each time.

---------------------------------------------------------------------------
OSError                                   Traceback (most recent call last)
/var/folders/xj/cw6n24v100l7s1rkm85p4qym0000gn/T/ipykernel_3149/1176320070.py in 
----> 1 f=tp.batch(v[:], 5, minmass=20, maxsize=3, invert=True)

~/opt/anaconda3/envs/APL_BM_env2/lib/python3.7/site-packages/trackpy/feature.py in batch(frames, diameter, output, meta, processes, after_locate, **kwargs)
    555     try:
    556         all_features = []
--> 557         for i, features in enumerate(map_func(curried_locate, frames)):
    558             image = frames[i]
    559             if hasattr(image, 'frame_no') and image.frame_no is not None:

~/opt/anaconda3/envs/APL_BM_env2/lib/python3.7/multiprocessing/pool.py in next(self, timeout)
    746         if success:
    747             return value
--> 748         raise value
    749 
    750     __next__ = next                    # XXX

OSError: [Errno 9] Bad file descriptor