meta_crops_hist_path=t2s_model.train_metacrop_history_path,
)
# ## Val
data = voldata_val
labels = vollabels_val
volume_shape = data.shape
grid_pos_gen = SequentialGridPosition.build_min_overlap(
volume_shape=volume_shape,
crop_shape=crop_shape,
# [manual-input]
# reduce the total number of crops
# n_steps_x=11,
# n_steps_y=11,
n_steps_z=10,
)
crop_seq_val = VolumeCropSequence(
data_volume=data,
labels_volume=labels,
batch_size=batch_size,
# go through all the crops in validation
epoch_size=len(grid_pos_gen),
**vol_crop_seq_common_kwargs,
meta_crops_hist_path=t2s_model.train_metacrop_history_path,
)
# ## Val
data = voldata_val
labels = vollabels_val
volume_shape = data.shape
grid_pos_gen = SequentialGridPosition.build_min_overlap(
volume_shape=volume_shape,
crop_shape=crop_shape,
# [manual-input]
# reduce the total number of crops
n_steps_x=9, # same as the 2d/2.5d
n_steps_y=7,
n_steps_z=10,
)
crop_seq_val = VolumeCropSequence(
data_volume=data,
labels_volume=labels,
batch_size=batch_size,
# go through all the crops in validation
epoch_size=len(grid_pos_gen),
# data augmentation
meta_crop_generator=MetaCrop3DGenerator.build_no_augmentation(