Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9781849

    * support EasyCV

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9851374

panoptic segmentation 模型接入
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9758389

add image-reid-person
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9818427

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9826159

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9781254

    * support single object tracking

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9767151

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9722903

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9728416

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9592902

由于 在 系列方法 命名上有调整，将  lightnas 统一改为 tinynas

之前有一次提交，对应的 code review 为：https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9578861

现将 上面的的意见已统一修复，并重新  切换到  cv/tinynas/classification 分支上 进行重新 提交审核
之前 cv/lightnas/classification 已废弃
请悉知~
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9663300

add human pose eastimation to maas-lib v3
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9491970

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9442509

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9590794

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9564875

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9515599

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9490080

1. support FaceDetectionPipeline inference
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9470723

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9526987

添加直播类目模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9476982

新增视频内容分类模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9479334

*Add image-classification-imagenet and image-classification-dailylife pipelines
*Add models.cv.mmcls_model.ClassificaitonModel as a wrapper class for mmcls

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9491966

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9458640

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9491487

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9497065

添加image-color-enhance, pipeline and trainer
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9483118

增加虚拟试衣任务，输入模特图，骨骼图，衣服展示图，生成试衣效果图
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9401415

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9460900

* add test code
 * fix bug
 * support gray image
 * update unitest
 * bugfixed
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9419792

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9273537

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9251871

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9200613

    * [Add] add KWS code

    * [Fix] fix kws warning

    * [Add] add ROC for KWS

    * [Update] add some code check

    * [Update] refactor kws code, bug fix

    * [Add] add customized keywords setting for KWS

    * [Add] add data/test/audios for KWS

添加 MPLUG 模型的 visual question answering 任务 pipeline

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9182119

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9134657

达摩行为识别合入maas lib
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9134444

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8967432

* create ocr_detection task

* replace c++ nms with python version

* replace c++ decoder with python version

* add requirements for ocr_detection

将caption pipeline的实现从pipeline下沉到model，并拆解preprocessor
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9081211

    * [to #41669377] docs and tools refinement and release 

1. add build_doc linter script
2. add sphinx-docs support
3. add development doc and api doc
4. change version to 0.1.0 for the first internal release version

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8775307

* [to #41669377] add pipeline tutorial and fix bugs 

1. add pipleine tutorial
2. fix bugs when using pipeline with certain model and preprocessor

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8814301

* refine doc

* refine doc

* upload ofa for caption(with source code but not whl)

* remove data in gitignore

* append uncommitted data dir in ofa

* remove ofa_dir , use ofa.whl instead.

* update BPE

* rollback changes used in debugging.

* Merge branch 'master' into ofa/image_caption

# Conflicts:
#	docs/README.md
#	docs/source/conf.py
#	docs/source/index.rst
#	docs/source/tutorials/pipeline.md
#	maas_lib/models/nlp/sequence_classification_model.py
#	maas_lib/pipelines/builder.py
#	maas_lib/version.py
#	setup.py
#	tests/pipelines/test_text_classification.py

* 1. fix a bug in pipelines/builder.py.
2. modify model_path to model in image_captioning.py.

* 1. rename test_image_captioning.py.

* format all files using pre-commit.

* add fairseq in requirements.txt

* add fairseq in requirements.txt

* change fairseq path to git repo to a whl on oss in ofa.txt.

* change module_name to 'ofa'

* Merge remote-tracking branch 'origin/master' into ofa/image_caption

# Conflicts:
#	maas_lib/pipelines/builder.py

* optim requirements for ofa / refine image_captioning.py

* uncommited change.

* feat: Fix confilct, auto commit by WebIDE

* Merge remote-tracking branch 'origin/master' into ofa/image_caption

# Conflicts:
#	maas_lib/pipelines/multi_modal/__init__.py
#	modelscope/pipelines/multi_modal/image_captioning.py
#	tests/pipelines/test_image_captioning.py

* merge master

* merge master

* merge master

* rename

* Merge remote-tracking branch 'origin/master' into ofa/nlu

* add caption model

* Merge remote-tracking branch 'origin/master' into ofa/nlu

* update ofa caption model

* fix some typo, update unittest

* use local test image

* use local test image

* refactor, ofa -> multi_model

* merge master

* 删除 image_caption_pipeline.py