Can dali webdataset reader work out classes from folder structure?
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Description
The webdataset reader seems to require a file to define the class per image in a tar?
As shown in this example: https://docs.nvidia.com/deeplearning/dali/user-guide/docs/examples/general/data_loading/dataloading_webdataset.html
The standard nvidia.dali.fn.readers.file can work out the class from the folder structure as per:
https://docs.nvidia.com/deeplearning/dali/user-guide/docs/operations/nvidia.dali.fn.readers.file.html
Is it possible to get derive the label for a file from the folder that it is in with webdataset or do I need to add an extra file per sample for the class?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked webdataset data-loading example and the readers.file operation documentation, then compare how each reader obtains labels. Determine whether folder-derived labels are supported and identify the relevant reader entry points or tests. Done means the supported behavior and any required change are clearly established.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-engineering, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100