# it is here because before this cell the folder doesnt exist yet
add_file_handler(logger, t2s_model.train_log_path)
# repeat it so that the log file saves this
logger.info(f"args\n{dict2str(asdict(args))}")
logger.info(f"{t2s_model.name=}")
logger.info(f"t2s_model\n{dict2str(asdict(t2s_model))}")
# # Data
# Metadata/paths objects
# Volume
volume = Volume.with_check(
name=args.volume_name, version=args.volume_version
)
logger.info(f"volume\n{dict2str(asdict(volume))}")
assert volume.nclasses == model_nclasses, f"{model_nclasses=} {volume.nclasses=}"
logger.info("Loading data from disk.")
# Data
voldata = file_utils.HST_read(
str(volume.data_path), # it doesn't accept paths...
autoparse_filename=False, # the file names are not properly formatted
data_type=volume.metadata.dtype,
dims=volume.metadata.dimensions,
volume_name, volume_version = VOLUME_NAME_VERSION
labels_version = LABELS_VERSION
logger.info(f"{volume_name=}")
logger.info(f"{volume_version=}")
logger.info(f"{labels_version=}")
# In[ ]:
# Metadata/paths objects
## Volume
volume = Volume.with_check(
name=volume_name, version=volume_version
)
logger.info(f"{volume=}")
def _read_raw(path_: Path, volume_: Volume):
# from pymicro
return file_utils.HST_read(
str(path_), # it doesn't accept paths...
# pre-loaded kwargs
autoparse_filename=False, # the file names are not properly formatted
data_type=volume.metadata.dtype,
dims=volume.metadata.dimensions,
verbose=True,
)
read_raw = partial(_read_raw, volume_=volume)
