RAP / dataset_process /utils /__init__.py
YuePanEdward's picture
Squash history: release superseded example-data blobs
be88765
Raw History Blame Contribute Delete
3.01 kB
#!/usr/bin/env python3
"""
Utilities for Training Sample Generation
This package contains utility modules for generating training samples and doing preprocessing for RAP.
"""
# Import commonly used functions for easier access
from .submap_utils import (
get_default_num_samples,
create_submap_from_frames,
generate_submap_boundaries_for_sample,
select_spatially_close_submaps,
validate_no_overlap
)
from .io_utils import (
create_metadata_json,
convert_to_hdf5,
get_dataset_name,
load_sample_from_folder,
load_sample_from_hdf5,
save_processed_sample,
save_training_sample
)
from .processing_utils import (
process_nss_dataset,
process_nss_multi_dataset,
process_sequence_with_loader,
set_random_seeds,
process_tls_dataset
)
from .validation_utils import (
perform_dry_run,
process_sequences,
_validate_and_setup_args
)
from .split_utils import (
create_data_splits,
create_nss_data_splits,
create_random_data_splits_only,
create_sequence_data_splits_only,
copy_and_update_data_split
)
from .preview_utils import (
preview_data_splits
)
from .feature_extraction_metadata_utils import (
save_processing_metadata,
print_detailed_statistics
)
from .point_sampling_utils import (
calculate_voxel_coverage,
calculate_adaptive_sample_count_per_part,
allocate_fps_points,
apply_batched_fps
)
from .voxel_utils import (
compute_adaptive_voxel_size,
)
# Import dataset utilities for easier access
from . import dataset_utils
__all__ = [
# Submap utilities
'get_default_num_samples',
'create_submap_from_frames',
'generate_submap_boundaries_for_sample',
'select_spatially_close_submaps',
'validate_no_overlap',
# I/O utilities
'create_metadata_json',
'convert_to_hdf5',
'get_dataset_name',
'load_sample_from_folder',
'load_sample_from_hdf5',
'save_processed_sample',
'save_training_sample',
# Processing utilities
'process_nss_dataset',
'process_nss_multi_dataset',
'process_sequence_with_loader',
'set_random_seeds',
'process_tls_dataset',
# Validation utilities
'perform_dry_run',
'process_sequences',
'_validate_and_setup_args',
# Split utilities
'create_data_splits',
'create_nss_data_splits',
'create_random_data_splits_only',
'create_sequence_data_splits_only',
'copy_and_update_data_split',
# Preview utilities
'preview_data_splits',
# Feature Extraction Metadata Utilities
'save_processing_metadata',
'print_detailed_statistics',
# Point Sampling Utilities
'calculate_voxel_coverage',
'calculate_adaptive_sample_count_per_part',
'allocate_fps_points',
'apply_batched_fps',
# Voxel utilities
'compute_adaptive_voxel_size',
# Dataset utilities
'dataset_utils',
'save_num_points_to_folder',
'save_points_to_ply' # Explicitly expose save_points_to_ply
]