Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10061562

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10078262

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9935664

    * adapt to msdataset for EasyCV

unittest for demo service
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10006180

加入space模型在banking数据集上的微调代码
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10006792

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10043608

视频编辑的cr
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10026166

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10049527

    * add ipykernel to image for dsw

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10019083

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9980774

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9921926

1. 完成Maas-cv CR标准 自查
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9951519

    * [to #42322933] 新增Mtcnn人脸检测器

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10041992

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10039848

    * add device usage when device is None or empty

    * update docker env

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10037492

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10035056

* support model tag for integration

1. Fix random seed for trainer and init it at the first line of init
2. Add a regress test for fixed training
3. Change the dataset 'dureader_robust_qg' to 'DuReader_robust-QG'
4. Change some datasets from loading hf.datasets to loading msdataset.load
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10029509

1. 完成Maas-cv CR标准 自查
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9957634

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9931748

1. 修复 palm，gpt3，mplug 模型存在的 finetune 后保存 checkpoint 与原有 checkpoint key 字段存在区别无法使用 from_pretrained 导入的问题
2. 调整 test_finetune_mplug.py 为只保存训练结束时的 checkpoint，减少 ci 耗时
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10016517

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

    * feat: add hand keypoints pipeline

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10014958

    * [to #44702084]fix: ci pip install domain in single commands, find with requirement install failed is complicated.

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10011826

、

1. Support saving the best checkpoint for inference
2. Fix a bug that _max_iters field does not exist in trainer
3. Fix a bug that function in lambda_lr field cannot be saved to file
4. Fix a bug that save_pretrained would not be called by iterating
5. Fix a bug that interval is not passed from BestCkptHook's init
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9972765

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

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9970626

    * fix trainer unittest

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

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9974293

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

# Conflicts:
#	modelscope/preprocessors/multi_modal.py

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