mmpretrain/projects
Ezra-Yu 1c6b077bb1
[Project] Add ACCV workshop 1st Solution. (#1245)
* add accv workshop 1st project

* update projects

* update projects

* fix lint

* Update projects/fgia_accv2022_1st/README.md

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>

* Update projects/fgia_accv2022_1st/README.md

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>

* Update projects/fgia_accv2022_1st/README.md

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>

* update

* Update projects/fgia_accv2022_1st/README.md

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>

* Update projects/fgia_accv2022_1st/README.md

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>

* Update projects/fgia_accv2022_1st/README.md

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>

* update

* Update projects/fgia_accv2022_1st/README.md

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>

* Update projects/fgia_accv2022_1st/README.md

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>

* Update projects/fgia_accv2022_1st/README.md

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>

* Update projects/fgia_accv2022_1st/README.md

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>

* update

* update

* update

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
2022-12-12 18:55:09 +08:00
..
example_project [Project] Add Example project. (#1254) 2022-12-12 17:57:09 +08:00
fgia_accv2022_1st [Project] Add ACCV workshop 1st Solution. (#1245) 2022-12-12 18:55:09 +08:00
README.md [Project] Add Example project. (#1254) 2022-12-12 17:57:09 +08:00

README.md

Welcome to Projects of MMClassification

In this folder, we welcome all contribution of vision deep-learning backbone from community.

Here, these requirements, e.g. code standards, are not that strict as in core package. Thus, developers from the community can implement their algorithms much more easily and efficiently in MMClassification. We appreciate all contributions from community to make MMClassification greater.

Here is an example project about how to add your algorithms easily.

We also provide some documentation listed below: