3D unet: Problem with Section 5.4, cannot download model as bioImage

Hi, I am trying out the 3D unet using the provided sample data (the mitochondria electron microscope image provided in the link). I finished the training and wanted to download the model as bioImage Model zoo to be used in FIJI in section 5.4. However, I keep getting this error message and have no idea what it's saying...

ValueError Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py in enumarg(enum, arg)
23590 try:

23591 return enum(arg)
23592 except Exception:

9 frames
/usr/lib/python3.10/enum.py in call(cls, value, names, module, qualname, type, start)
384 if names is None: # simple value lookup
--> 385 return cls.new(cls, value)
386 # otherwise, functional API: we're creating a new Enum type

/usr/lib/python3.10/enum.py in new(cls, value)
709 if result is None and exc is None:
--> 710 raise ve_exc
711 elif exc is None:

ValueError: 1.25 is not a valid RESUNIT

During handling of the above exception, another exception occurred:

AttributeError Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py in enumarg(enum, arg)
23593 try:

23594 return enum[arg.upper()]
23595 except Exception as exc:

AttributeError: 'float' object has no attribute 'upper'

The above exception was the direct cause of the following exception:

ValueError Traceback (most recent call last)
in <cell line: 205>()
203
204 # export the model with keras weights
--> 205 build_model(
206 weight_uri=weight_path,
207 test_inputs=[test_in_path],

/usr/local/lib/python3.10/dist-packages/bioimageio/core/build_spec/build_model.py in build_model(weight_uri, test_inputs, test_outputs, input_axes, output_axes, name, description, authors, tags, documentation, cite, output_path, architecture, model_kwargs, weight_type, sample_inputs, sample_outputs, input_names, input_step, input_min_shape, input_data_range, output_names, output_reference, output_scale, output_offset, output_data_range, halo, preprocessing, postprocessing, pixel_sizes, maintainers, license, covers, git_repo, attachments, packaged_by, run_mode, parent, config, dependencies, links, training_data, root, add_deepimagej_config, tensorflow_version, opset_version, pytorch_version, weight_attachments)
829 if add_deepimagej_config:
830 if sample_inputs is None:
--> 831 sample_inputs, sample_outputs = _write_sample_data(
832 test_inputs, test_outputs, input_axes, output_axes, pixel_sizes, root
833 )

/usr/local/lib/python3.10/dist-packages/bioimageio/core/build_spec/build_model.py in write_sample_data(input_paths, output_paths, input_axes, output_axes, pixel_sizes, export_folder)
451 sample_in_path = export_folder / f"sample_input{i}.tif"
452 pixel_size = None if pixel_sizes is None else pixel_sizes[i]
--> 453 write_im(sample_in_path, inp, axes, pixel_size)
454 sample_in_paths.append(sample_in_path)
455

/usr/local/lib/python3.10/dist-packages/bioimageio/core/build_spec/build_model.py in write_im(path, im, axes, pixel_size)
444 if np.dtype(im.dtype) == np.dtype("float64"):
445 im = im.astype("float32")
--> 446 tifffile.imwrite(path, im, imagej=True, resolution=resolution)
447
448 sample_in_paths = []

/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py in imwrite(file, data, bigtiff, byteorder, imagej, ome, shaped, append, shape, dtype, photometric, planarconfig, extrasamples, volumetric, tile, rowsperstrip, bitspersample, compression, compressionargs, predictor, subsampling, jpegtables, colormap, description, datetime, resolution, resolutionunit, subfiletype, software, metadata, extratags, contiguous, truncate, align, maxworkers, returnoffset)
1249 shaped=shaped,
1250 ) as tif:
-> 1251 result = tif.write(
1252 data,
1253 shape=shape,

/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py in write(failed resolving arguments)
2853 unit = resolution[2] # type: ignore
2854 if unit is not None:
-> 2855 resolutionunit = enumarg(RESUNIT, unit)
2856 addtag(tags, 296, 3, 1, resolutionunit) # ResolutionUnit
2857 else:

/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py in enumarg(enum, arg)
23594 return enum[arg.upper()]
23595 except Exception as exc:

23596 raise ValueError(f'invalid argument {arg!r}') from exc
23597
23598

ValueError: invalid argument 1.25

I am using OS: iOS and Chrome, would truly appreciate any help on this! Thank you !!