google-deepmind / google-deepmind/kinetics-i3d
Using on streaming video data
Open
- Dominant language
- Python
- Stars
- 1.8k
- Forks
- 467
- PR merge metrics
- No merged PRs in 30d
Description
How can I use the pre-trained model on video data that is being streamed? Can live predictions about the actions being performed be made?
If not, how can I process the data of a saved video stream? (Suppose it is 8 hours worth of footage)?
Contributor guide
Research direction
Start by reviewing the repository's existing model inference entry points and video-input handling, since no specific file or test is named. Determine whether the pre-trained model supports live streams or long saved videos, and clarify the expected prediction workflow before defining what completion would mean.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100