refactor(deepen/download_annotations): minor fix for more user friendly tool

[kminoda]

Description

Minor refactoring for deepen/download_annotations

How to review

Please follow the document to run the download_annotations script.

How to test

test data

task: convert_deepen_to_t4
description:
  visibility:
    full: "No occlusion of the object."
    most: "Object is occluded, but by less than 50%."
    partial: "The object is occluded by more than 50% (but not completely)."
    none: "The object is 90-100% occluded and no points/pixels are visible in the label."
  camera_index:
    CAM_FRONT: 0
    CAM_FRONT_RIGHT: 1
    CAM_BACK_RIGHT: 2
    CAM_BACK: 3
    CAM_BACK_LEFT: 4
    CAM_FRONT_LEFT: 5

conversion:
  input_base: ./data/non_annotated_t4_format
  input_anno_file: ./data/deepen_format/hoge.json
  input_bag_base: ./data/rosbag2
  output_base: ./data/t4_format
  topic_list: ./config/topic_list.yaml
  ignore_interpolate_label: False
  dataset_corresponding:
    fuga: ng9nuEQJstFE7X783rxSqXMc

$ python3 -m perception_dataset.deepen.download_annotations --config config/convert_deepen_to_t4_sample.yaml

And you would get

Requesting annotated json for:  ['ng9nuEQJstFE7X783rxSqXMc']
Annotation file is saved: ././data/deepen_format/lidar_annotations_accepted_deepen.json

Reference

None

Notes for reviewer

None

[Shin-kyoto]

LGTM
I did NOT check this PR by running the code.