Refactoring ml model file structure

[technolojin]

Checklist

• I've read the contribution guidelines.
• I've searched other issues and no duplicate issues were found.
• I've agreed with the maintainers that I can plan this task.

Description

• for centerpoint, split variant to sub-folders
• for ml models general, remove model name from file names. containing folder is self-explained.
• all the artifact files to be described in ml_package.param.yaml
• make variant in folder structure

Purpose

Reduce folder/file path argument for

• clean launcher arguments
• future proof of artifact member consist

Possible approaches

1. contain all the information into index ml_package.param.yaml. launcher argument only gets path to ml_package
2. additional index file

Definition of done

• update ml model distribution
  • https://huggingface.co/AutowareFoundation/lidar_centerpoint/discussions/1
• update implementations
  • update autoware feat(ansible): update lidar_centerpoint model bundle to v4.0 autoware#7236
  • update node launchers refactor(autoware_lidar_centerpoint)!: consume per-variant model folders via a model manifest #13087
  • update autoware_launcher refactor(tier4_perception_launch)!: select centerpoint variant folder in the launcher autoware_launch#1930
• test

[xmfcx]

For this task, I'm alright with updating the autoware_lidar_centerpoint package for now.

• But for the other models/packages, please wait until Host ML model artifacts on Hugging Face Hub autoware#7187 is finished.