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Merged
merged 13 commits into from
May 16, 2022

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@datumbox datumbox commented May 16, 2022

Addresses partially #6014

Demo: https://output.circle-artifacts.com/output/job/a9a5210b-ed03-4165-9e8f-24a5071eeb82/artifacts/0/docs/models_new.html

This PR:

  • Transfers all the missing information from the old docs (Torch Hub, validation dataset info) and adds references to galleries when available
  • Adds additional new info for models (licensing, code examples for meta-data, preprocessing usage)
  • Performs small updates on the code examples and docs.
  • Makes partially visible the category meta. See screenshots below:

image

image

@datumbox datumbox requested a review from NicolasHug May 16, 2022 13:44
@datumbox datumbox removed the request for review from NicolasHug May 16, 2022 13:44
@datumbox datumbox marked this pull request as draft May 16, 2022 13:44
@datumbox datumbox changed the title [WIP] Add more info on new models.srt Add more info on new models.srt May 16, 2022
@datumbox datumbox requested a review from NicolasHug May 16, 2022 15:56
@datumbox datumbox marked this pull request as ready for review May 16, 2022 15:56
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Thanks @datumbox , minor comment but LGTM!

@datumbox datumbox merged commit 769ae13 into pytorch:main May 16, 2022
@datumbox datumbox deleted the docs/models_additional_info branch May 16, 2022 16:38
@datumbox datumbox linked an issue May 16, 2022 that may be closed by this pull request
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facebook-github-bot pushed a commit that referenced this pull request Jun 1, 2022
Summary:
* Minor updates on model examples.

* Improving wording of auto-generated docs.

* Add general info for pre-trained weights.

* Updating torch hub

* Minor updates

* Make lengthy meta-data partially visible

* Adding meta-data and reference info.

* Minor corrections

* Update docs/source/models_new.rst

* Moving Torch hub section at the end

Reviewed By: NicolasHug

Differential Revision: D36760948

fbshipit-source-id: 19c1d120ca0e9c0dbaf672f9f7fa2a60d4493533

Co-authored-by: Nicolas Hug <[email protected]>
Co-authored-by: Nicolas Hug <[email protected]>
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Improve documentation for Multi-weight support
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