Floating point exception when running MIRACL Ace workflow

I am testing the MIRACL Ace workflow and encounter a Fatal Python error: Floating point exception during processing.
This happens both with the provided sample dataset and with my own dataset.

Error log:

...
Slice: 126240_089000_038960.tif
Slice: 126240_089000_038980.tif

Saving patches for Z-dim to 'output/final_ctn_down_10_rca_voxel_size_25/seg_final/generated_patches/'...

In total, 256 patches have been saved to 'output/final_ctn_down_10_rca_voxel_size_25/seg_final/generated_patches/'!
Patches folder path is: output/final_ctn_down_10_rca_voxel_size_25/seg_final/generated_patches
preparing dataset!
data dicts are ready!
some samples from data dicts: [{'image': 'output/.../patch_0_0.tiff'}, {'image': 'output/.../patch_0_1.tiff'}, {'image': 'output/.../patch_0_10.tiff'}]
in total we have 253 data dicts
model(s) are initialized!
number of available gpus: 1
Trained model(s) are loaded!
Data # 1 , {'image': 'output/.../patch_0_0.tiff'}
Fatal Python error: Floating point exception

The system configuration is the following:

OS: Ubuntu 24.04.2 LTS
Workstation: HP Z840, Intel® Xeon® E5-2687W v3 × 40
GPU: NVIDIA GeForce RTX 5060 Ti
Driver: 575.57.08
CUDA: 12.9

Command used, as in tutorial:

miracl flow ace \
--single Ex_561_Em_600_stitched \
--sa_output_folder output \
--sa_model_type unet \
--rca_orient_code ARI \
--sa_resolution 3.5 3.5 4.0 \
--ctn_down 10 \
--rca_voxel_size 25 \
--ctn_channame Signal \
--sa_batch_size 1

Thanks in advance for your help,
Clémence