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Copilot AI commented Jan 13, 2026

Enables converting MATLAB .mat files to modern PyData formats (NumPy, HDF5, Zarr) and loading them directly in training pipelines.

Changes

Conversion Utility (mat_converter.py, 800 lines)

  • CLI tool supporting NumPy (.npz), HDF5 (.h5), and Zarr formats
  • Inspection: detailed statistics on .mat file contents
  • Validation: verify conversion accuracy to 1e-10 tolerance
  • Batch processing with configurable compression
  • MATLAB v7 and v7.3 format support

Multi-Format Data Loading

  • DATASET.py: Load from .mat, .npz, or .h5 with auto-detection
  • data_generator.py: Accept file_format parameter for all formats
  • Backward compatible - existing code unchanged

Documentation (MAT_TO_PYDATA_GUIDE.md, 700 lines)

  • .mat structure specification for LineamentLearning
  • Format comparison: performance, compression, use cases
  • Complete conversion examples and troubleshooting
  • Integration patterns with existing codebase

Usage

# Inspect and convert
python -m mat_converter --inspect dataset.mat
python -m mat_converter dataset.mat dataset.h5

# Use in training (auto-detects format)
from DATASET import DATASET
ds = DATASET('dataset.h5')  # Works with .mat, .npz, .h5

# Or explicit format
ds = DATASET('dataset.h5', file_format='hdf5')

Performance

  • HDF5: 40-70% smaller files, 20-40% faster loading
  • Chunked access for memory-efficient partial loading
  • Removes scipy.io.loadmat dependency for converted files

Example Conversions

Basic:

from mat_converter import MatConverter
converter = MatConverter()
converter.convert_to_hdf5('data.mat', 'data.h5', compression='gzip', compression_opts=4)

Batch:

python -m mat_converter --batch \
  --input-dir Dataset/ \
  --output-dir Converted/ \
  --format hdf5

Validation:

python -m mat_converter --validate data.mat data.h5

Files: 7 changed (+2078 lines), includes comprehensive examples in examples/mat_conversion_examples.py

Original prompt

Can you add detailed documentation on how to translate the original project .mat files to pydata forms for use and make sure any data loading functionality can also handle this?


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Copilot AI and others added 3 commits January 13, 2026 20:17
- Created MAT_TO_PYDATA_GUIDE.md with detailed conversion documentation
- Added mat_converter.py module with conversion utilities for NumPy, HDF5, and Zarr
- Added mat_conversion_examples.py with practical examples
- Updated DATASET.py to support loading from .npz and .h5 files
- Updated data_generator.py to support multiple file formats
- Updated README.md with data conversion information
- Updated examples/README.md with conversion quick start

Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
- Fixed convert() method to properly filter kwargs for each format
- Added comprehensive testing with synthetic dataset
- Verified conversion, validation, and loading from all formats
- All tests pass: .mat, .npz, and .h5 formats work correctly

Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
- Clarified Parquet is documentation-only, not fully implemented
- Fixed unused prefix parameter in recursive HDF5 loading
- Added Zarr format validation support
- Cleaned up recursive function definitions

Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
Copilot AI changed the title [WIP] Add documentation for translating .mat files to pydata Add .mat to PyData conversion utilities and multi-format data loading Jan 13, 2026
Copilot AI requested a review from RichardScottOZ January 13, 2026 20:25
@RichardScottOZ RichardScottOZ marked this pull request as ready for review January 14, 2026 09:44
@RichardScottOZ RichardScottOZ merged commit 317f287 into master Jan 14, 2026
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2 participants