hoops_ai.storage
Quick Overview
Classes
OptStorage(store_path[, compress_extension])Handles storage and retrieval of data using Zarr, including:
JsonStorageHandler(json_dir_path)Handles the storage and retrieval of data using JSON files.
DatasetInfo(info_files, merged_store_path, ...)Handles:
DatasetMerger([zip_files, ...])Handles the merging of multiple .zip Zarr files into a single store (plus optional partial batching logic).
LabelStorage(path_for_storing[, ...])Class for encoding and decoding labels.
MetricStorage(store)Abstract class defining the interface for storing machine learning metrics based on their type of data and visualization.
CADFileRetriever(storage_provider[, ...])
LocalStorageProvider(directory_path)Collection of predefined schema templates for common use cases.
Functions
convert_storage(source_handler, dest_handler)Generic converter that works with ANY DataStorage implementation.
Data Storage Module
The Storage module provides persistent storage solutions for CAD data, ML models, and analysis results. It offers a unified interface for various storage backends, optimized for the unique requirements of CAD data processing and machine learning workflows.
This module handles the efficient storage and retrieval of large-scale CAD datasets, encoded geometric data, trained ML models, and experimental results. It provides both high-performance options for production use and convenient formats for development and prototyping.
For storage architecture details and usage patterns, see the Data Storage Programming Guide.
