Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9961906

    * feat: add hand keypoints pipeline

完成Maas-cv CR自查；
新增个Task，已经跟产品确认可以增加，正在走流程中，目前还不在https://aone.alibaba-inc.com/v2/project/1181559/req#viewIdentifier=d7f112f9d023e2108fa1b0d8这里，后续会增加过来
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9976346

1. 新增人脸检测RetinaFace模型；
2. 完成Maas-cv CR标准自查
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9945188

商品显著性检测模型，依赖opencv，mmcv-full
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9909897

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9934673

    * add face 2d keypoints

![](https://cn-hangzhou.oss-cdn.aliyun-inc.com/git/force/uploads/comment/251924/40165669611078357/image.png)
fill mask pipeline 测试时间过长

这个task测了4个模型。从保证代码正确性的功能角度看，只测一个bert类(比如sbert中文），一个roberta类（veco)。减少测试的模型数量以减少测试时长。
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10006556

    * skip sbert_en&bert_ch to save ci time

文本指导的语义分割模型，根据输入的文本信息，讲图像中对应文本描述的物体分割出来。
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9942863

接入tinynas-detection，新增tinynas object detection pipeline以及tinynas models。
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9938220

add Deberta v2 modeling and fill_mask task, with master merged
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9966511

添加新的action-detection task
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9898947

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9938140

基于easycv上线的segformer，对应上传了5个对应的达摩院的分割模型，所以修正了tests/pipelines/easycv_pipelines/test_segmentation_pipeline.py内容让其能够便利测试
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9934634

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9969472

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9901220

    * add lstm-crf ner model code

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9872869

Add regression test for some unit tests.
Firstly, Run a baseline test to create a pickle file which contains the inputs and outputs of modules, then changes can be observed between
the latest version and the baseline file.
Some baseline files are submitted in the data/test/regression folder
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9814693

* nlp translation preprocess branch
 * pull the latest master
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9920445

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9942858

    * [Add] add document-segmentation

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9941890

支持 MPLUG 模型 image-text-retrieval 任务的 pipeline 和 finetune
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9919955

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9908976

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9862567

新增实时目标检测pipeline
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9788299

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

    * support EasyCV

Maas新增FAQ问答模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9797053

video_summarization 修改test中的结果可视化
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9902499

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

新增video summarization模型的inference和finetune
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9840532

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9856286

This reverts commit 4cc0395ac5.

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

1. add device util to verify, create and place device
2. pipeline and trainer support update
3.  fix pipeline which use tf models does not place model to the right device

usage

```python
pipe = pipeline('damo/xxx', device='cpu')
pipe = pipeline('damo/xxx', device='gpu')
pipe = pipeline('damo/xxx', device='gpu:0')
pipe = pipeline('damo/xxx', device='gpu:2')
pipe = pipeline('damo/xxx', device='cuda')
pipe = pipeline('damo/xxx', device='cuda:1')
```
 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9800672

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

添加 MPLUG 模型 image-captioning 任务
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9745826

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9763330

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

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

根据反馈 将用到的util_func 放入modelscope/utils/cv 下
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9759481

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

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9580066

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

generate 时去除 tokenizer 输出结尾的 sep，修复 gpt3 模型目前续写内容与上文无关的 bug
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9696570