pytorch / pytorch/vision

Adding CenterNet to Torchvision/detection

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#4,595 5 comments 6 reactions 0 assignees View on GitHub

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needs discussion new feature topic: object detection
Dominant language
Python
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Forks
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Avg merge
1d 15h
Merged PRs (30d)
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Description

🚀 The feature

Add CenterNet to torchvision

Motivation, pitch

centernet is a better one-stage object detector than SSD and it is also very practical.This anchor-free detector is currently relatively popular.

Alternatives

No response

Additional context

No response

cc @datumbox

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

Start with the CenterNet paper linked in the issue, then inspect torchvision's existing detection components to understand how a new detector fits. The issue names no files or tests; done means CenterNet is integrated into torchvision/detection as a supported object detector, with the expected project validation identified during that review.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
computer-vision, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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