google-deepmind / google-deepmind/kinetics-i3d

Using on streaming video data

Open
#104 1 comment 0 reactions 0 assignees View on GitHub
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

Open the contributing 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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.