OpenGVLab / OpenGVLab/InternVideo
Running finetuned models on costum data
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- Dominant language
- Python
- Stars
- 2.4k
- Forks
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Description
I want to run the finetuned model on InternVideo-MM-L-14 | ActivityNet.
I have my own costum videos.
Do you have a simple demo script to run this model?
(Similar to the one made for pretrained module, which did not perform good on my data).
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
Start by reading Pretrain/Multi-Modalities-Pretraining/demo.py, which is the existing reference for pretrained models. Check how it accepts video input and compare that flow with the finetuned InternVideo-MM-L-14 ActivityNet model and custom videos. Done means a simple documented demo can run the finetuned model on user-provided videos.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100