I am sorry but I have a n error when I was running the particle subtract after non-unform refinement, the box size : 300 , pix size : 1.045.
License is valid.
Launching job on lane default target localhost …
Running job on master node hostname localhost
[CPU: 80.8 MB] Project P4 Job J224 Started
[CPU: 80.9 MB] Master running v3.0.1, worker running v3.0.1
[CPU: 81.1 MB] Running on lane default
[CPU: 81.1 MB] Resources allocated:
[CPU: 81.1 MB] Worker: localhost
[CPU: 81.1 MB] CPU : [0, 1]
[CPU: 81.1 MB] GPU : [0]
[CPU: 81.1 MB] RAM : [0, 1, 2]
[CPU: 81.1 MB] SSD : True
[CPU: 81.1 MB] --------------------------------------------------------------
[CPU: 81.1 MB] Importing job module for job type particle_subtract…
[CPU: 426.6 MB] Job ready to run
[CPU: 426.6 MB] ***************************************************************
[CPU: 426.7 MB] Loading input volumes…
[CPU: 426.7 MB] Traceback (most recent call last):
** File “cryosparc_worker/cryosparc_compute/run.py”, line 84, in cryosparc_compute.run.main**
** File “cryosparc_worker/cryosparc_compute/jobs/local_refine/run_psub.py”, line 36, in cryosparc_compute.jobs.local_refine.run_psub.run_particle_subtract**
** File “/opt/cryosparc/cryosparc_worker/cryosparc_compute/jobs/runcommon.py”, line 556, in load_input_group**
** dsets = [load_input_connection_slots(input_group_name, keep_slot_names, idx, allow_passthrough=allow_passthrough) for idx in range(num_connections)]**
** File “/opt/cryosparc/cryosparc_worker/cryosparc_compute/jobs/runcommon.py”, line 556, in **
** dsets = [load_input_connection_slots(input_group_name, keep_slot_names, idx, allow_passthrough=allow_passthrough) for idx in range(num_connections)]**
** File “/opt/cryosparc/cryosparc_worker/cryosparc_compute/jobs/runcommon.py”, line 528, in load_input_connection_slots**
** return dataset.Dataset().innerjoin_many(dsets)**
** File “/opt/cryosparc/cryosparc_worker/cryosparc_compute/dataset.py”, line 391, in innerjoin_many**
** res = dfs[0].join(dfs[1:], how=‘inner’)**
IndexError: list index out of range
what might be the reasion? thanks ,Dieter
