Separate the param.yaml file for ML model parameters and ML model handle node parameters

[badai-nguyen]

Checklist

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

Description

Currently, the parameters releated to ML model and its execution node, including centerpoint and pointpainting are intertwined.

• This is a challenge for users as it's difficult to discern which parameters are adjustable and which are related to ML model structure or defined during training.
• Centerpoint/pointaining weights files are located outside of autoware so it's is quite hard for users when trying param tuning for example centerpoint's score_threshold or pointpainting's score_threshold

Purpose

To clarify the fixed parameters which related to ML structure or training process and adjustable parameters which can modify by users.

Possible approaches

1. Separate ML model structure releated paramters and ML model execution node's parameters to different files
2. Locate ML model structure related param.yaml together with ML weights onnx files
3. Locate execution's node param.yaml file inside autoware (autoware_launch)

Definition of done

• [ ] Update launch and paramers in universe
• [x] Upload ML model param.yaml into WebAuto
• [x] Update ML models/parameters download scripts in autoware
• [ ] Update parameters and launch in autoware_launch