Multiple data sources in dataset_config

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• Hardware (T4/V100/Xavier/Nano/etc)
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc)
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here)
• Training spec file(If have, please share here)
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In the following link, there is an example Experiment Spec File.
One of the configs is the data_sources,
and I am wondering what might be the correct syntax for multiple data sources.

would the following be the right syntax?
train_data_sources:
- image_dir: /path/to/images/dataset_a
json_file: /path/to/annotations/dataset_a.json
- image_dir: /path/to/images/dataset_b
json_file: /path/to/annotations/dataset_b.json

Or does it not accept multiple data sources at all?

Can you share the link? Thanks.

Oh sorry, DeformableDETR - NVIDIA Docs.
It is in the ‘Creating an Experiment Spec File’ section.

You can refer to below.

  train_data_sources:
    - image_dir: /path/to/1
      json_file: /path/to/1.json
    - image_dir: /path/to/2
      json_file: /path/to/2.json
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