I have used Deep Train to get a model and am confused with the export option. Basically I want to export this model to another project which shares similar target protein.
After I exported the model and imported it as a group to the new project, the Deep Inference job only picked 30 particles from over 3000 micrographs. I tested the model in old project and it was able to pick good amount of particles. I then tried to export the entire deep train job and import it as a job into the new project. This error message came up
[CPU: 819.1 MB] Traceback (most recent call last): File "/cryosparc/cryosparc_master/cryosparc_compute/jobs/runcommon.py", line 1790, in run_with_except_hook run_old(*args, **kw) File "/cryosparc/cryosparc_master/cryosparc_command/command_core/__init__.py", line 162, in run self.target(*self.args) File "/cryosparc/cryosparc_master/cryosparc_command/command_core/__init__.py", line 4552, in import_job_run rc.import_job(project_uid, new_uid, abs_path_export_job_dir, logger=lambda msg: job_send_streamlog(project_uid, new_uid, msg), notification_id=notification_id) File "/cryosparc/cryosparc_master/cryosparc_compute/jobs/runcommon.py", line 1298, in import_job assert False, "[IMPORT_JOB] : Unable to find data referenced by cs files. Aborting import of %s %s from %s"%(project_uid, job_uid, abs_path_export_job_dir) AssertionError: [IMPORT_JOB] : Unable to find data referenced by cs files. Aborting import of P11 J41 from /PATH_OF_IMPORT_JOB
Even with this error message, the original Deep Train job showed up in my new project workspace.
My question is as following: what is the best approach to export a deep train model for use at a different project and/or workspace? Thanks!