OpenGVLab / OpenGVLab/InternVideo

extract multi-modal features using InternVideo2

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Dominant language
Python
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Description

Hi InternVideo2 team!

Could you please share a code about how you extract the multi-modal features?
I'd like to use the models to extract feature of my own dataset.

Thanks for your guidance!

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names InternVideo2 but no files, tests, or entry points. Start by locating InternVideo2 usage and feature-extraction examples in the repository, then determine what runnable guidance is missing for applying the models to a custom dataset. Done means clear extraction instructions or an example that addresses this request.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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