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unable to reproduce demo results locally

I am trying to recreate the FRETraj-demo results locally without success. I cloned the FRETraj-demo repo and installed FRETraj in a clean python 3.8 environment with conda. I then installed the necessary dependencies as needed.
Here's a text file for the current environment: environment.txt.

I ran the original notebook on Binder (no changes made) and compared the results to my local instance to try to see where things went wrong. At the calculation of the ACVs my local results differ. Running

acv_D = ft.cloud.Volume.from_frames(traj, 'Cy3-20-C5', labels, selected_frames)
acv_A = ft.cloud.Volume.from_frames(traj, 'Cy5-44-P1', labels, selected_frames)

results in the ValueError messages Empty Accessible volume at position 626. Is your attachment point buried? and Empty Accessible volume at position 1395. Is your attachment point buried?.

Any ideas as to how I can resolve this discrepancy?

Example notebook errors out at in [18] on Binder

Hello,

I am trying to run the FRETraj-demo locally and I am running into problems in the execution. So, I am trying to compare the original output on Binder to my output. Running the notebook on Binder, I noticed that the notebook errors out at the very end:

[18]: experiment = ft.burst.Experiment('.', parameters, compute_anisotropy=False)

KeyError                                  Traceback (most recent call last)
<ipython-input-18-bae323b89d31> in <module>
----> 1 experiment = ft.burst.Experiment('.', parameters, compute_anisotropy=False)

/srv/conda/envs/notebook/lib/python3.8/site-packages/fretraj/burst.py in __init__(self, directory, parameters, binwidth, compute_anisotropy, verbose, show_progress)
    538             if show_progress:
    539                 with multiprocessing.Pool() as pool:
--> 540                     if os.environ['_'].split('/')[-1] == 'jupyter':
    541                         self.bursts = list(tqdm.notebook.tqdm(pool.imap(self.calcBurst, burstsizes,
    542                                            chunksize=int(self.parameters['sampling']['nbursts']/50)),

/srv/conda/envs/notebook/lib/python3.8/os.py in __getitem__(self, key)
    673         except KeyError:
    674             # raise KeyError with the original key value
--> 675             raise KeyError(key) from None
    676         return self.decodevalue(value)
    677 

KeyError: '_'

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