feat: add T4 dataset updater with the specifeid FastLabel annotations

[ktro2828]

Description

Add support of updating the existing T4 dataset with a new FastLabel annotation.

AnnotationFilesUpdater parse annotation file(s) and insert the corresponding annotation information to the scene.

Sample configuration file:

task: update_t4_with_fastlabel  # Task Name
description:
  visibility:
    full: "No occlusion of the object."
    ...
  camera_index:
    CAM_FRONT: 0
    ...

conversion:
  input_base: ./data/input_t4_format # could be non_annotated_t4_format or t4_format_3d_annotated
  input_anno_base: ./data/fastlabel
  output_base: ./data/output_t4_format # currently, this only includes the 2D annotations
  dataset_corresponding:
    # input t4dataset_name: FastLabel json file name
    T4DatasetName: FastLabelAnnotationFile

How to review

How to test

test data

test command

python3 -m perception_dataset.convert --config ./configs/update_wt_with_fastlabel_sample.yaml

Reference

Notes for reviewer