pytorch / pytorch/vision

video classification experiments using GPU decoder

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module: video
Dominant language
Python
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Description

Run video classification experiments using GPU decoder and compare the results with CPU decoder.

Contributor guide

Open the contributing guide

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

No files, tests, or entry points are named. Start by locating the existing video decoder and video-classification experiment paths, then define a CPU/GPU comparison with consistent inputs and metrics. Done means results are recorded for both decoders.

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

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