Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10491951

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10490937

新增ofa关于日常场景文字识别的任务，主要包括：
1、新增pipeline及task名称定义；
2、新增pipeline、task、model及prepreocess核心类方法的代码逻辑；
3、其它同步修正的小细节逻辑；
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10471089

为以下三个模型补充 ut
damo/nlp_palm2.0_text-generation_chinese-large
damo/nlp_palm2.0_text-generation_commodity_chinese-base
damo/nlp_palm2.0_text-generation_weather_chinese-base
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10435599

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10467797

    * add uttest for en2fr and fr2en tasks

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10465241

接入damyolo系列检测模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10377688

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10400324

添加基于 Megatron-v3 的 GPT3 tensor 并行的推理代码
复用 DistributedPipeline 与 megatron-util
适用模型：1.3B/2.7B/13B 参数的 GPT-3 预训练生成模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10416721

新增video-object-detection 算法
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10247489

1. 添加 gpt_neo 模型，因 checkpoint 归属于 Langboat 还未上传到模型库，已线下完成测试
2. 添加 text-generation task models 与 head，后续会将 gpt3，palm 等已上线文本生成模型统一为 backbone + head 结构的 task models
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10404249

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10423383

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10412829

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10421413

    * fix outputs

默认输出为array的，通道格式统一为BGR格式，本次修改是为了与这个格式一致
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10422508

* image_captioninig support single image and dict input
* image_style_transfer use dict input

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10417330

修改output的结构，直接返回可转化成json format的结构
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10415403

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10383770

    * T5 support translate

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10371244
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10371244

1. 调整face_detection的文件层级(scrfd与其余新增face_detection方法平级);
2. 增加极大脸/旋转脸的检测方法，更新了新模型；
3. 支持读入数据集并finetune和eval；
4. 新增card_detection模型，支持读入datasethub数据集并finetune
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10244540

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10319306

相比于master上的tableqa，做出了如下修复：
1. 修复了schema linking中的问题。
2. 同时设置了有history sql和没有history sql的两种输入
3. 增加了sqlite执行逻辑，可以返回sql执行结果
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10365114

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10338265

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10362437

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10111615

video summarization:
1. 添加 license & header; 
2. 修改 output for demo service
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10260946

Link https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10360754#tab=detail
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10360754

统一关键点检测输出key的名字
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10359335

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10217723

    * add image_body_reshaping code

Add pipelines for the following new models:
- [Multilingual Quality Estimation](https://modelscope.cn/models/damo/nlp_translation_quality_estimation_multilingual/summary)
- [Automatic Post-Editing (En-De)](https://modelscope.cn/models/damo/nlp_automatic_post_editing_for_translation_en2de/summary)
- [Domain classification (Zh)](https://modelscope.cn/models/damo/nlp_domain_classification_chinese/summary)
- [Style classification (Zh)](https://modelscope.cn/models/damo/nlp_style_classification_chinese/summary)
- [Style classification (En)](https://modelscope.cn/models/damo/nlp_style_classification_english/summary)
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10315370

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10233235

* add input definition for pipeline


* support multiple input format for single pipeline


*  change param for body_3d_keypoints

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10252583

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10202117

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10263904

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10260332

Add patch shift transformer model for action recognition task.
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10282964

以下算法进行了header变更：
modelscope.models.cv.cmdssl_video_embedding
modelscope.models.cv.action_recognition 
modelscope.models.cv.animal_recognition
modelscope.models.multi_modal.multi_stage_diffusion
modelscope.models.multi_modal.gemm

modelscope.pipelines.cv.live_category_pipeline
modelscope.pipelines.cv.video_category_pipeline
modelscope.models.cv.image_to_image_translation
modelscope.models.cv.image_to_image_generation

modelscope.models.cv.video_inpainting
modelscope.models.multi_modal.diffusion
modelscope.models.multi_modal.team
modelscope.models.cv.shop_segmentation
modelscope.models.cv.text_driven_segmentation
modelscope.models.cv.action_recognition 


modelscope.models.cv.face_emotion
modelscope.models.cv.hand_static
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10268474

1.新增支持原始bert模型（非easynlp的 backbone prefix版本）
2.支持bert的在sequence classification/fill mask /token classification上的backbone head形式
3.统一了sequence classification几个任务的pipeline到一个类
4.fill mask 支持backbone head形式
5.token classification的几个子任务（ner，word seg， part of speech）的preprocessor 统一到了一起TokenClassificationPreprocessor
6. sequence classification的几个子任务（single classification， pair classification）的preprocessor 统一到了一起SequenceClassificationPreprocessor
7. 改动register中 cls的group_key 赋值位置，之前的group_key在多个decorators的情况下，会被覆盖，obj_cls的group_key信息不正确
8. 基于backbone head形式将 原本group_key和 module同名的情况尝试做调整，如下在modelscope/pipelines/nlp/sequence_classification_pipeline.py 中 
原本
 @PIPELINES.register_module(
    Tasks.sentiment_classification, module_name=Pipelines.sentiment_classification)
改成
@PIPELINES.register_module(
    Tasks.text_classification, module_name=Pipelines.sentiment_classification)
相应的configuration.json也有改动，这样的改动更符合任务和pipline（子任务）的关系。
8. 其他相应改动为支持上述功能
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10041463

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10244616

* [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

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10265856

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10253628

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10191736

    * add T5 for generation

放松了tests/pipelines/easycv_pipelines/test_segmentation_pipeline.py里面对于识别非determinsitic的校验条件，一方便后续模型更新
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10245940

mplug 相关任务 pipeline 输入字段统一为 'image' + 'text'
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10236282

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10211100

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10208603

    * update easycv pipelines

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10207239