Skip to content

Commit 948a6e6

Browse files
committed
Remove unused variables and clean functions in preprocessing subpackage
1 parent 818ed80 commit 948a6e6

File tree

1 file changed

+1
-55
lines changed

1 file changed

+1
-55
lines changed

boiling_learning/preprocessing/visualize.py

+1-55
Original file line numberDiff line numberDiff line change
@@ -489,7 +489,6 @@ def _make_ds(params: Parameters) -> tf.data.Dataset:
489489
params[['creator', 'value', 'image_dataset']] = img_ds
490490

491491
ds = _make_ds(params)
492-
ds_train, ds_val, ds_test = ds
493492
for col, (split_name, ds_split) in enumerate(
494493
zip(('train', 'val', 'test'), ds)
495494
):
@@ -501,7 +500,7 @@ def _make_ds(params: Parameters) -> tf.data.Dataset:
501500
# wspace=0.1,
502501
# hspace=0.1
503502
)
504-
for sample, (img, data) in enumerate(
503+
for sample, (img, _) in enumerate(
505504
ds_split.take(n_samples).as_numpy_iterator()
506505
):
507506
ax = plt.Subplot(fig, inner[sample])
@@ -538,56 +537,3 @@ def _make_ds(params: Parameters) -> tf.data.Dataset:
538537

539538
fig.add_subplot(ax)
540539
fig.show()
541-
542-
543-
# def interact_frames(
544-
# image_datasets: Sequence[ImageDataset]
545-
# ) -> None:
546-
# image_datasets = tuple(image_datasets)
547-
# img_ds_options = [(img_ds.name, img_ds) for img_ds in image_datasets]
548-
549-
# default_img_ds = img_ds_options[0][1]
550-
# img_ds_widget = widgets.Dropdown(
551-
# options=img_ds_options,
552-
# description='Case name:',
553-
# value=default_img_ds
554-
# )
555-
556-
# experiment_videos_options = [
557-
# (experiment_video.name, experiment_video)
558-
# for experiment_video in img_ds_widget.value.values()
559-
# ]
560-
# experiment_videos_widget = widgets.Dropdown(
561-
# options=experiment_videos_options,
562-
# description='Experiment video:',
563-
# value=experiment_videos_options[0][1]
564-
# )
565-
566-
# def update_videos_list(changes):
567-
# experiment_videos_widget.options = [
568-
# (experiment_video.name, experiment_video)
569-
# for experiment_video in changes['new'].values()
570-
# ]
571-
572-
# img_ds_widget.observe(update_videos_list, 'value')
573-
574-
# with experiment_videos_widget.value.frames() as f:
575-
# index_widget = widgets.IntSlider(
576-
# value=0,
577-
# min=0,
578-
# max=len(f),
579-
# description='Frame:'
580-
# )
581-
582-
# def update_max_index(changes):
583-
# with changes['new'].frames() as f:
584-
# index_widget.max = len(f)
585-
586-
# experiment_videos_widget.observe(update_max_index, 'value')
587-
588-
# def show_frames(img_ds, ev, idx):
589-
# frame = skimage.transform.downscale_local_mean(ev.frame(idx), (8, 8, 1))
590-
# cv2_imshow(frame)
591-
592-
# if should_interact_frames:
593-
# interact(show_frames, img_ds=img_ds_widget, ev=experiment_videos_widget, idx=index_widget)

0 commit comments

Comments
 (0)