Hello,
I used a blob picker in v3.2.0+patched to pick around 11,000,000 particles from about 3,000 micrographs. I want to extract these particles now to run 2D class averaging but am running into the following error:
ValueError: cannot reshape array of size 65280 into shape (1,1024,1024)
Here is the whole traceback:
[CPU: 4.85 GB] (1315 of 3516) Finished processing micrograph 1314.
[CPU: 4.25 GB] -- 0.1: processing J8/motioncorrected/002650374566925255637_stack_02576_X+1Y+0-3_patch_aligned_doseweighted.mrc
[CPU: 4.85 GB] (1316 of 3516) Finished processing micrograph 1315.
[CPU: 3.89 GB] -- 0.0: processing J8/motioncorrected/009045250411906160206_stack_02582_X-1Y+0-3_patch_aligned_doseweighted.mrc
[CPU: 4.85 GB] (1317 of 3516) Finished processing micrograph 1316.
CPU: 4.43 GB] Traceback (most recent call last):
File "/home/nick/CryoSPARC/install/cryosparc_worker/cryosparc_compute/jobs/runcommon.py", line 1801, in run_with_except_hook
run_old(*args, **kw)
File "/home/nick/CryoSPARC/install/cryosparc_worker/deps/anaconda/envs/cryosparc_worker_env/lib/python3.7/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/home/nick/CryoSPARC/install/cryosparc_worker/cryosparc_compute/jobs/pipeline.py", line 86, in stage_target
work = processor.exec(item)
File "/home/nick/CryoSPARC/install/cryosparc_worker/cryosparc_compute/jobs/pipeline.py", line 43, in exec
return self.process(item)
File "/home/nick/CryoSPARC/install/cryosparc_worker/cryosparc_compute/jobs/extract/run.py", line 439, in process
_, mrcdata = mrc.read_mrc(path_abs)
File "/home/nick/CryoSPARC/install/cryosparc_worker/cryosparc_compute/blobio/mrc.py", line 128, in read_mrc
data = read_mrc_data(file_obj, header, start_page, end_page, out)
File "/home/nick/CryoSPARC/install/cryosparc_worker/cryosparc_compute/blobio/mrc.py", line 90, in read_mrc_data
data = n.fromfile(file_obj, dtype=dtype, count= num_pages * ny * nx).reshape(num_pages, ny, nx)
ValueError: cannot reshape array of size 65280 into shape (1,1024,1024)
Not sure what to do to get around this. Any help is appreciated.