Skip to content

Add --classify-batch-size arg #6

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
18 changes: 16 additions & 2 deletions src/python/ifcb_analysis/process.py
Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,7 @@ def process_bin(
model_config: classify.KerasModelConfig,
extract_images: bool = True,
classify_images: bool = True,
classify_batch_size: int = None,
force: bool = False,
dask_log_path: str = None,
dask_log_level: int = None,
Expand Down Expand Up @@ -158,7 +159,7 @@ def process_bin(

if classify_images:
logging.info(f'Classifying images and saving to {class_fname}')
predictions_df = classify.predict(model_config, image_stack)
predictions_df = classify.predict(model_config, image_stack, classify_batch_size)

# Since classify.predict (which calls Model.predict) is run in a for loop, memory consumption
# will build up and result in an OOM error, so we excplicitly clear it out after each model run.
Expand Down Expand Up @@ -278,6 +279,7 @@ def process(
date_dirs: bool = True,
extract_images: bool = True,
classify_images: bool = True,
classify_batch_size: int = None,
force: bool = False,
use_dask: bool = True,
dask_log_path: str = None,
Expand Down Expand Up @@ -321,6 +323,7 @@ def process(
[model_config] * len(bins),
[extract_images] * len(bins),
[classify_images] * len(bins),
[classify_batch_size] * len(bins),
[force] * len(bins)
]

Expand Down Expand Up @@ -348,7 +351,15 @@ def process(
outdir = output_dir

try:
process_bin(bin, outdir, model_config, extract_images, classify_images, force)
process_bin(
file=bin,
outdir=outdir,
model_config=model_config,
extract_images=extract_images,
classify_images=classify_images,
classify_batch_size=classify_batch_size,
force=force,
)
except Exception as e:
logging.error(f'Error processing {bin}: {e}')

Expand All @@ -363,6 +374,7 @@ def yaml_config_callback(ctx, param, value):
@click.command()
@click.option('--extract-images/--no-extract-images', default=True)
@click.option('--classify-images/--no-classify-images', default=True)
@click.option('--classify-batch-size', type=click.INT, default=64)
@click.option('--force/--no-force', default=False)
@click.option('--log-level', default='INFO')
@click.option('--log-file', type=click.Path(writable=True, dir_okay=False))
Expand All @@ -386,6 +398,7 @@ def cli(
ctx,
extract_images: bool,
classify_images: bool,
classify_batch_size: int,
force: bool,
log_level: str,
log_file: Path,
Expand Down Expand Up @@ -439,6 +452,7 @@ def cli(
date_dirs=date_dirs,
extract_images=extract_images,
classify_images=classify_images,
classify_batch_size=classify_batch_size,
force=force,
use_dask=use_dask,
dask_log_path=dask_log_path,
Expand Down