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Coobiw ed5924b6fe
[Feature] Implement of RAM with a gradio interface. (#1802) 
* [CodeCamp2023-584]Support DINO self-supervised learning in project (#1756)

* feat: impelemt DINO

* chore: delete debug code

* chore: impplement pre-commit

* fix: fix imported package

* chore: pre-commit check

* [CodeCamp2023-340] New Version of config Adapting MobileNet Algorithm (#1774)

* add new config adapting MobileNetV2,V3

* add base model config for mobile net v3, modified all training configs of mobile net v3 inherit from the base model config

* removed directory _base_/models/mobilenet_v3

* [Feature] Implement of Zero-Shot CLIP Classifier (#1737)

* zero-shot CLIP

* modify zero-shot clip config

* add in1k_sub_prompt(8 prompts) for improvement

* add some annotations doc

* clip base class & clip_zs sub-class

* some modifications of details after review

* convert into and use mmpretrain-vit

* modify names of some files and directories

* ram init commit

* [Fix] Fix pipeline bug in image retrieval inferencer

* [CodeCamp2023-341] 多模态数据集文档补充-COCO Retrieval

* Update OFA to compat with latest huggingface.

* Update train.py to compat with new config

* Bump version to v1.1.0

* Update __init__.py

---------

Co-authored-by: LALBJ <40877073+LALBJ@users.noreply.github.com>
Co-authored-by: DE009 <57087096+DE009@users.noreply.github.com>
Co-authored-by: mzr1996 <mzr1996@163.com>
Co-authored-by: 飞飞 <102729089+ASHORE1225@users.noreply.github.com>
 		2023-10-25 16:23:45 +08:00
..
dino [Feature] Implement of RAM with a gradio interface. (#1802) 2023-10-25 16:23:45 +08:00
example_project [Docs] Fix example_project README (#1575) 2023-05-22 15:47:03 +08:00
fgia_accv2022_1st [Docs] Update links (#1457) 2023-04-06 20:58:52 +08:00
gradio_demo [Feature] Add minigpt4 gradio demo and training script. (#1758) 2023-10-12 10:36:17 +08:00
internimage_classification [Feature] Add InternImage Classification project (#1569) 2023-06-13 19:11:54 +08:00
maskfeat_video [Docs] Update links (#1457) 2023-04-06 20:58:52 +08:00
README.md [Docs] Update links (#1457) 2023-04-06 20:58:52 +08:00

README.md

Welcome to Projects of MMPreTrain

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 MMPreTrain. We appreciate all contributions from community to make MMPreTrain greater.

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

We also provide some documentation listed below: