palletdatagenerator package

Subpackages

• palletdatagenerator.modes package
  • Submodules
    • palletdatagenerator.modes.base_generator module
      • BaseGenerator
    • palletdatagenerator.modes.single_pallet module
      • SinglePalletMode
    • palletdatagenerator.modes.warehouse module
      • WarehouseMode
  • Module contents

Submodules

• palletdatagenerator.blender_runner module
  • BlenderEnvironmentManager
    • BlenderEnvironmentManager.__init__()
    • BlenderEnvironmentManager.validate_blender_environment()
    • BlenderEnvironmentManager.setup_blender_preferences()
    • BlenderEnvironmentManager.get_scene_info()
  • setup_background_images()
  • apply_random_background()
  • run_with_blender_args()
• palletdatagenerator.cli module
  • find_blender_executable()
  • run_in_blender()
  • create_parser()
  • main()
• palletdatagenerator.config module
  • get_next_batch_folder()
  • DefaultConfig
    • DefaultConfig.__init__()
    • DefaultConfig.__getattr__()
    • DefaultConfig.__setattr__()
    • DefaultConfig.get()
    • DefaultConfig.update()
• palletdatagenerator.generator module
  • ensure_dependencies()
  • PalletDataGenerator
    • PalletDataGenerator.__init__()
    • PalletDataGenerator.generate()
  • enable_gpu()
  • ensure()
  • build_folders()
  • configure_render()
  • setup_compositor_nodes()
  • draw_3d_bbox_edges()
  • project_points_accurate()
  • create_analysis_image_multi()
  • main_single_pallet()
  • main_warehouse()
• palletdatagenerator.utils module
  • setup_logging()
  • ensure_directory()
  • load_config()
  • save_config()
  • set_random_seed()
  • validate_blender_environment()
  • get_blender_version()
  • format_file_size()
  • get_system_info()
  • create_dataset_manifest()
  • verify_dataset_integrity()
  • ProgressTracker
    • ProgressTracker.__init__()
    • ProgressTracker.start()
    • ProgressTracker.update()
    • ProgressTracker.finish()

Module contents

PalletDataGenerator - Unified Blender library for synthetic pallet dataset generation.

This library provides a simplified, unified approach to generating synthetic pallet datasets with embedded configuration and auto-batch management.

class palletdatagenerator.PalletDataGenerator(mode: str = 'single_pallet', scene_path: str | None = None)

Bases: object

Main generator that delegates to appropriate mode classes. Replicates the exact functionality of original files using modular architecture.

__init__(mode: str = 'single_pallet', scene_path: str | None = None)

generate(scene_path: Path | None = None, num_frames: int = 50, output_dir: Path | None = None, resolution: tuple[int, int] | None = None) → dict[str, Any]

Generate dataset using the appropriate mode class.

class palletdatagenerator.DefaultConfig(mode: str = 'single_pallet')

Bases: object

Configuration class that adapts based on mode.

__getattr__(name)

Allow dict-style access to config values.

__init__(mode: str = 'single_pallet')

Initialize config based on mode.

__setattr__(name, value)

Allow setting config values.

get(key, default=None)

Dict-style get method.

update(**kwargs)

Update multiple config values.

palletdatagenerator.setup_logging(level: str = 'DEBUG', log_file: str = 'output.log') → None

Setup logging configuration.

Parameters:

• level – Logging level (‘DEBUG’, ‘INFO’, ‘WARNING’, ‘ERROR’)

• log_file – Optional log file path