OpenGVLab / OpenGVLab/InternVideo
extract multi-modal features using InternVideo2
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- Dominant language
- Python
- Stars
- 2.4k
- Forks
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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!
Contributor guide
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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
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