[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-open-edge-platform--datumaro":3,"tool-open-edge-platform--datumaro":64},[4,17,27,35,43,56],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":16},3808,"stable-diffusion-webui","AUTOMATIC1111\u002Fstable-diffusion-webui","stable-diffusion-webui 是一个基于 Gradio 构建的网页版操作界面，旨在让用户能够轻松地在本地运行和使用强大的 Stable Diffusion 图像生成模型。它解决了原始模型依赖命令行、操作门槛高且功能分散的痛点，将复杂的 AI 绘图流程整合进一个直观易用的图形化平台。\n\n无论是希望快速上手的普通创作者、需要精细控制画面细节的设计师，还是想要深入探索模型潜力的开发者与研究人员，都能从中获益。其核心亮点在于极高的功能丰富度：不仅支持文生图、图生图、局部重绘（Inpainting）和外绘（Outpainting）等基础模式，还独创了注意力机制调整、提示词矩阵、负向提示词以及“高清修复”等高级功能。此外，它内置了 GFPGAN 和 CodeFormer 等人脸修复工具，支持多种神经网络放大算法，并允许用户通过插件系统无限扩展能力。即使是显存有限的设备，stable-diffusion-webui 也提供了相应的优化选项，让高质量的 AI 艺术创作变得触手可及。",162132,3,"2026-04-05T11:01:52",[13,14,15],"开发框架","图像","Agent","ready",{"id":18,"name":19,"github_repo":20,"description_zh":21,"stars":22,"difficulty_score":23,"last_commit_at":24,"category_tags":25,"status":16},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",140436,2,"2026-04-05T23:32:43",[13,15,26],"语言模型",{"id":28,"name":29,"github_repo":30,"description_zh":31,"stars":32,"difficulty_score":23,"last_commit_at":33,"category_tags":34,"status":16},2271,"ComfyUI","Comfy-Org\u002FComfyUI","ComfyUI 是一款功能强大且高度模块化的视觉 AI 引擎，专为设计和执行复杂的 Stable Diffusion 图像生成流程而打造。它摒弃了传统的代码编写模式，采用直观的节点式流程图界面，让用户通过连接不同的功能模块即可构建个性化的生成管线。\n\n这一设计巧妙解决了高级 AI 绘图工作流配置复杂、灵活性不足的痛点。用户无需具备编程背景，也能自由组合模型、调整参数并实时预览效果，轻松实现从基础文生图到多步骤高清修复等各类复杂任务。ComfyUI 拥有极佳的兼容性，不仅支持 Windows、macOS 和 Linux 全平台，还广泛适配 NVIDIA、AMD、Intel 及苹果 Silicon 等多种硬件架构，并率先支持 SDXL、Flux、SD3 等前沿模型。\n\n无论是希望深入探索算法潜力的研究人员和开发者，还是追求极致创作自由度的设计师与资深 AI 绘画爱好者，ComfyUI 都能提供强大的支持。其独特的模块化架构允许社区不断扩展新功能，使其成为当前最灵活、生态最丰富的开源扩散模型工具之一，帮助用户将创意高效转化为现实。",107662,"2026-04-03T11:11:01",[13,14,15],{"id":36,"name":37,"github_repo":38,"description_zh":39,"stars":40,"difficulty_score":23,"last_commit_at":41,"category_tags":42,"status":16},3704,"NextChat","ChatGPTNextWeb\u002FNextChat","NextChat 是一款轻量且极速的 AI 助手，旨在为用户提供流畅、跨平台的大模型交互体验。它完美解决了用户在多设备间切换时难以保持对话连续性，以及面对众多 AI 模型不知如何统一管理的痛点。无论是日常办公、学习辅助还是创意激发，NextChat 都能让用户随时随地通过网页、iOS、Android、Windows、MacOS 或 Linux 端无缝接入智能服务。\n\n这款工具非常适合普通用户、学生、职场人士以及需要私有化部署的企业团队使用。对于开发者而言，它也提供了便捷的自托管方案，支持一键部署到 Vercel 或 Zeabur 等平台。\n\nNextChat 的核心亮点在于其广泛的模型兼容性，原生支持 Claude、DeepSeek、GPT-4 及 Gemini Pro 等主流大模型，让用户在一个界面即可自由切换不同 AI 能力。此外，它还率先支持 MCP（Model Context Protocol）协议，增强了上下文处理能力。针对企业用户，NextChat 提供专业版解决方案，具备品牌定制、细粒度权限控制、内部知识库整合及安全审计等功能，满足公司对数据隐私和个性化管理的高标准要求。",87618,"2026-04-05T07:20:52",[13,26],{"id":44,"name":45,"github_repo":46,"description_zh":47,"stars":48,"difficulty_score":23,"last_commit_at":49,"category_tags":50,"status":16},2268,"ML-For-Beginners","microsoft\u002FML-For-Beginners","ML-For-Beginners 是由微软推出的一套系统化机器学习入门课程，旨在帮助零基础用户轻松掌握经典机器学习知识。这套课程将学习路径规划为 12 周，包含 26 节精炼课程和 52 道配套测验，内容涵盖从基础概念到实际应用的完整流程，有效解决了初学者面对庞大知识体系时无从下手、缺乏结构化指导的痛点。\n\n无论是希望转型的开发者、需要补充算法背景的研究人员，还是对人工智能充满好奇的普通爱好者，都能从中受益。课程不仅提供了清晰的理论讲解，还强调动手实践，让用户在循序渐进中建立扎实的技能基础。其独特的亮点在于强大的多语言支持，通过自动化机制提供了包括简体中文在内的 50 多种语言版本，极大地降低了全球不同背景用户的学习门槛。此外，项目采用开源协作模式，社区活跃且内容持续更新，确保学习者能获取前沿且准确的技术资讯。如果你正寻找一条清晰、友好且专业的机器学习入门之路，ML-For-Beginners 将是理想的起点。",84991,"2026-04-05T10:45:23",[14,51,52,53,15,54,26,13,55],"数据工具","视频","插件","其他","音频",{"id":57,"name":58,"github_repo":59,"description_zh":60,"stars":61,"difficulty_score":10,"last_commit_at":62,"category_tags":63,"status":16},3128,"ragflow","infiniflow\u002Fragflow","RAGFlow 是一款领先的开源检索增强生成（RAG）引擎，旨在为大语言模型构建更精准、可靠的上下文层。它巧妙地将前沿的 RAG 技术与智能体（Agent）能力相结合，不仅支持从各类文档中高效提取知识，还能让模型基于这些知识进行逻辑推理和任务执行。\n\n在大模型应用中，幻觉问题和知识滞后是常见痛点。RAGFlow 通过深度解析复杂文档结构（如表格、图表及混合排版），显著提升了信息检索的准确度，从而有效减少模型“胡编乱造”的现象，确保回答既有据可依又具备时效性。其内置的智能体机制更进一步，使系统不仅能回答问题，还能自主规划步骤解决复杂问题。\n\n这款工具特别适合开发者、企业技术团队以及 AI 研究人员使用。无论是希望快速搭建私有知识库问答系统，还是致力于探索大模型在垂直领域落地的创新者，都能从中受益。RAGFlow 提供了可视化的工作流编排界面和灵活的 API 接口，既降低了非算法背景用户的上手门槛，也满足了专业开发者对系统深度定制的需求。作为基于 Apache 2.0 协议开源的项目，它正成为连接通用大模型与行业专有知识之间的重要桥梁。",77062,"2026-04-04T04:44:48",[15,14,13,26,54],{"id":65,"github_repo":66,"name":67,"description_en":68,"description_zh":69,"ai_summary_zh":69,"readme_en":70,"readme_zh":71,"quickstart_zh":72,"use_case_zh":73,"hero_image_url":74,"owner_login":75,"owner_name":76,"owner_avatar_url":77,"owner_bio":78,"owner_company":79,"owner_location":79,"owner_email":79,"owner_twitter":79,"owner_website":79,"owner_url":80,"languages":81,"stars":94,"forks":95,"last_commit_at":96,"license":97,"difficulty_score":98,"env_os":78,"env_gpu":99,"env_ram":99,"env_deps":100,"category_tags":103,"github_topics":104,"view_count":23,"oss_zip_url":79,"oss_zip_packed_at":79,"status":16,"created_at":116,"updated_at":117,"faqs":118,"releases":146},2183,"open-edge-platform\u002Fdatumaro","datumaro","Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.","Datumaro 是一款专为计算机视觉领域打造的开源数据集管理框架，同时提供 Python 库和命令行工具。它致力于解决 AI 开发中常见的数据痛点：面对来源各异、格式繁杂（如 COCO、VOC、YOLO、CVAT 等）的数据集，开发者往往需要编写大量重复代码进行转换、清洗和整合。\n\n通过 Datumaro，用户可以轻松实现不同格式间的无缝转换，将多个数据集合并为统一标准，或根据特定规则（如移除遮挡标注、过滤小目标、按标签分布拆分训练\u002F验证集）对数据进行精细化清洗与重构。其独特的“任意方向”格式互转能力和基于标注内容的智能分割功能，极大地简化了数据预处理流程，让研究人员能将更多精力投入模型优化而非数据整理。\n\n无论是正在构建自定义数据集的算法工程师、需要复现论文实验的科研人员，还是负责数据流水线维护的开发团队，Datumaro 都是提升工作效率的理想助手。它以灵活强大的功能，帮助各类用户高效构建高质量数据集，为模型训练打下坚实基础。","# Dataset Management Framework (Datumaro)\n\n[![Build status](https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Factions\u002Fworkflows\u002Fhealth_check.yml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Factions\u002Fworkflows\u002Fhealth_check.yml)\n[![codecov](https:\u002F\u002Fcodecov.io\u002Fgh\u002Fopen-edge-platform\u002Fdatumaro\u002Fbranch\u002Fdevelop\u002Fgraph\u002Fbadge.svg?token=FG25VU096Q)](https:\u002F\u002Fcodecov.io\u002Fgh\u002Fopen-edge-platform\u002Fdatumaro)\n[![Downloads](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fopen-edge-platform_datumaro_readme_34c50e933400.png)](https:\u002F\u002Fpepy.tech\u002Fproject\u002Fdatumaro)\n[![OpenSSF Scorecard](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fopen-edge-platform_datumaro_readme_fd439a7b9f24.png)](https:\u002F\u002Fscorecard.dev\u002Fviewer\u002F?uri=github.com\u002Fopen-edge-platform\u002Fdatumaro)\n\nA framework and CLI tool to build, transform, and analyze datasets.\n\n\u003C!--lint disable fenced-code-flag-->\n\n```\nVOC dataset                                  ---> Annotation tool\n     +                                     \u002F\nCOCO dataset -----> Datumaro ---> dataset ------> Model training\n     +                                     \\\nCVAT annotations                             ---> Publication, statistics etc.\n```\n\n\u003C!--lint enable fenced-code-flag-->\n\n- [Getting started](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fget-started\u002Fquick-start-guide)\n- [Level Up](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Flevel-up\u002Fbasic_skills)\n- [Features](#features)\n- [User manual](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fuser-manual\u002Fhow_to_use_datumaro)\n- [Developer manual](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Freference\u002Fdatumaro_module)\n- [Contributing](#contributing)\n\n## Features\n\n[(Back to top)](#dataset-management-framework-datumaro)\n\n- Dataset reading, writing, conversion in any direction.\n\n  - [CIFAR-10\u002F100](https:\u002F\u002Fwww.cs.toronto.edu\u002F~kriz\u002Fcifar.html) (`classification`)\n  - [Cityscapes](https:\u002F\u002Fwww.cityscapes-dataset.com\u002F)\n  - [COCO](http:\u002F\u002Fcocodataset.org\u002F#format-data) (`image_info`, `instances`, `person_keypoints`,\n    `captions`, `labels`, `panoptic`, `stuff`)\n  - [CVAT](https:\u002F\u002Fopencv.github.io\u002Fcvat\u002Fdocs\u002Fmanual\u002Fadvanced\u002Fxml_format\u002F)\n  - [ImageNet](http:\u002F\u002Fimage-net.org\u002F)\n  - [Kitti](http:\u002F\u002Fwww.cvlibs.net\u002Fdatasets\u002Fkitti\u002Findex.php) (`segmentation`, `detection`,\n    `3D raw` \u002F `velodyne points`)\n  - [LabelMe](http:\u002F\u002Flabelme.csail.mit.edu\u002FRelease3.0)\n  - [LFW](http:\u002F\u002Fvis-www.cs.umass.edu\u002Flfw\u002F) (`classification`, `person re-identification`,\n    `landmarks`)\n  - [MNIST](http:\u002F\u002Fyann.lecun.com\u002Fexdb\u002Fmnist\u002F) (`classification`)\n  - [Open Images](https:\u002F\u002Fstorage.googleapis.com\u002Fopenimages\u002Fweb\u002Fdownload.html)\n  - [PASCAL VOC](http:\u002F\u002Fhost.robots.ox.ac.uk\u002Fpascal\u002FVOC\u002Fvoc2012\u002Fhtmldoc\u002Findex.html)\n    (`classification`, `detection`, `segmentation`, `action_classification`, `person_layout`)\n  - [TF Detection API](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Fmodels\u002Fblob\u002Fmaster\u002Fresearch\u002Fobject_detection\u002Fg3doc\u002Fusing_your_own_dataset.md)\n    (`bboxes`, `masks`)\n  - [YOLO](https:\u002F\u002Fgithub.com\u002FAlexeyAB\u002Fdarknet#how-to-train-pascal-voc-data) (`bboxes`)\n\n  Other formats and documentation for them can be found [here](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fdata-formats\u002Fformats).\n\n- Dataset building\n  - Merging multiple datasets into one\n  - Dataset filtering by a custom criteria:\n    - remove polygons of a certain class\n    - remove images without annotations of a specific class\n    - remove `occluded` annotations from images\n    - keep only vertically-oriented images\n    - remove small area bounding boxes from annotations\n  - Annotation conversions, for instance:\n    - polygons to instance masks and vice-versa\n    - apply a custom colormap for mask annotations\n    - rename or remove dataset labels\n  - Splitting a dataset into multiple subsets like `train`, `val`, and `test`:\n    - random split\n    - task-specific splits based on annotations,\n      which keep initial label and attribute distributions\n      - for classification task, based on labels\n      - for detection task, based on bboxes\n      - for re-identification task, based on labels,\n        avoiding having same IDs in training and test splits\n- Dataset quality checking\n  - Simple checking for errors\n  - Comparison with model inference\n  - Merging and comparison of multiple datasets\n  - Annotation validation based on the task type(classification, etc)\n- Dataset comparison\n- Dataset statistics (image mean and std, annotation statistics)\n\n> Check\n> [the design document](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fexplanation\u002Farchitecture)\n> for a full list of features.\n> Check\n> [the user manual](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fuser-manual\u002Fhow_to_use_datumaro)\n> for usage instructions.\n\n## Contributing\n\n[(Back to top)](#dataset-management-framework-datumaro)\n\nFeel free to\n[open an Issue](https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fissues\u002Fnew), if you\nthink something needs to be changed. You are welcome to participate in\ndevelopment, instructions are available in our\n[contribution guide](https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fblob\u002Fdevelop\u002Fcontributing.md).\n","# 数据集管理框架（Datumaro）\n\n[![构建状态](https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Factions\u002Fworkflows\u002Fhealth_check.yml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Factions\u002Fworkflows\u002Fhealth_check.yml)\n[![codecov](https:\u002F\u002Fcodecov.io\u002Fgh\u002Fopen-edge-platform\u002Fdatumaro\u002Fbranch\u002Fdevelop\u002Fgraph\u002Fbadge.svg?token=FG25VU096Q)](https:\u002F\u002Fcodecov.io\u002Fgh\u002Fopen-edge-platform\u002Fdatumaro)\n[![下载量](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fopen-edge-platform_datumaro_readme_34c50e933400.png)](https:\u002F\u002Fpepy.tech\u002Fproject\u002Fdatumaro)\n[![OpenSSF Scorecard](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fopen-edge-platform_datumaro_readme_fd439a7b9f24.png)](https:\u002F\u002Fscorecard.dev\u002Fviewer\u002F?uri=github.com\u002Fopen-edge-platform\u002Fdatumaro)\n\n一个用于构建、转换和分析数据集的框架及命令行工具。\n\n\u003C!--lint disable fenced-code-flag-->\n\n```\nVOC 数据集                                  ---> 标注工具\n     +                                     \u002F\nCOCO 数据集 -----> Datumaro ---> 数据集 ------> 模型训练\n     +                                     \\\nCVAT 注释                             ---> 发布、统计等\n```\n\n\u003C!--lint enable fenced-code-flag-->\n\n- [入门指南](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fget-started\u002Fquick-start-guide)\n- [进阶学习](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Flevel-up\u002Fbasic_skills)\n- [功能特性](#features)\n- [用户手册](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fuser-manual\u002Fhow_to_use_datumaro)\n- [开发者文档](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Freference\u002Fdatumaro_module)\n- [贡献说明](#contributing)\n\n## 功能特性\n\n[(返回顶部)](#dataset-management-framework-datumaro)\n\n- 支持任意方向的数据集读取、写入与转换。\n  - [CIFAR-10\u002F100](https:\u002F\u002Fwww.cs.toronto.edu\u002F~kriz\u002Fcifar.html)（分类）\n  - [Cityscapes](https:\u002F\u002Fwww.cityscapes-dataset.com\u002F)\n  - [COCO](http:\u002F\u002Fcocodataset.org\u002F#format-data)（图像信息、实例标注、人体关键点、字幕、标签、全景分割、场景元素）\n  - [CVAT](https:\u002F\u002Fopencv.github.io\u002Fcvat\u002Fdocs\u002Fmanual\u002Fadvanced\u002Fxml_format\u002F)\n  - [ImageNet](http:\u002F\u002Fimage-net.org\u002F)\n  - [Kitti](http:\u002F\u002Fwww.cvlibs.net\u002Fdatasets\u002Fkitti\u002Findex.php)（分割、目标检测、3D 点云）\n  - [LabelMe](http:\u002F\u002Flabelme.csail.mit.edu\u002FRelease3.0)\n  - [LFW](http:\u002F\u002Fvis-www.cs.umass.edu\u002Flfw\u002F)（分类、行人重识别、地标）\n  - [MNIST](http:\u002F\u002Fyann.lecun.com\u002Fexdb\u002Fmnist\u002F)（分类）\n  - [Open Images](https:\u002F\u002Fstorage.googleapis.com\u002Fopenimages\u002Fweb\u002Fdownload.html)\n  - [PASCAL VOC](http:\u002F\u002Fhost.robots.ox.ac.uk\u002Fpascal\u002FVOC\u002Fvoc2012\u002Fhtmldoc\u002Findex.html)（分类、目标检测、分割、动作分类、人体布局）\n  - [TF Detection API](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Fmodels\u002Fblob\u002Fmaster\u002Fresearch\u002Fobject_detection\u002Fg3doc\u002Fusing_your_own_dataset.md)（边界框、掩码）\n  - [YOLO](https:\u002F\u002Fgithub.com\u002FAlexeyAB\u002Fdarknet#how-to-train-pascal-voc-data)（边界框）\n\n  更多格式及其相关文档请参见 [这里](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fdata-formats\u002Fformats)。\n\n- 数据集构建\n  - 将多个数据集合并为一个\n  - 按自定义条件筛选数据集：\n    - 移除特定类别的多边形标注\n    - 去除未包含特定类别标注的图像\n    - 从图像中移除“被遮挡”标注\n    - 只保留竖直方向的图像\n    - 去除标注中面积过小的边界框\n  - 标注转换，例如：\n    - 多边形标注转为实例掩码，反之亦然\n    - 为掩码标注应用自定义颜色映射\n    - 重命名或移除数据集标签\n  - 将数据集拆分为多个子集，如“train”、“val”和“test”：\n    - 随机拆分\n    - 基于标注的任务特定拆分，保持初始标签和属性分布\n      - 对于分类任务，按标签拆分\n      - 对于目标检测任务，按边界框拆分\n      - 对于重识别任务，按标签拆分，避免训练集和测试集中出现相同 ID\n- 数据集质量检查\n  - 简单错误检查\n  - 与模型推理结果对比\n  - 合并并比较多个数据集\n  - 根据任务类型（分类等）验证标注\n- 数据集比较\n- 数据集统计信息（图像均值与标准差、标注统计）\n\n> 请查阅\n> [设计文档](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fexplanation\u002Farchitecture)\n> 以获取完整功能列表。\n> 使用说明请参阅\n> [用户手册](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fuser-manual\u002Fhow_to_use_datumaro)。\n\n## 贡献说明\n\n[(返回顶部)](#dataset-management-framework-datumaro)\n\n如果您认为有需要改进的地方，请随时\n[提交 Issue](https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fissues\u002Fnew)。我们也欢迎您参与开发，具体步骤请参考我们的\n[贡献指南](https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fblob\u002Fdevelop\u002Fcontributing.md)。","# Datumaro 快速上手指南\n\nDatumaro 是一个用于构建、转换和分析数据集的框架及命令行工具。它支持多种主流数据格式（如 COCO、VOC、YOLO、CVAT 等）之间的相互转换，并提供数据集合并、过滤、拆分及质量检查等功能。\n\n## 环境准备\n\n在开始之前，请确保您的开发环境满足以下要求：\n\n*   **操作系统**：Linux (推荐), macOS, Windows\n*   **Python 版本**：3.8 或更高版本\n*   **包管理工具**：`pip` (建议升级至最新版)\n*   **前置依赖**：无特殊系统级依赖，核心功能通过 Python 包实现。若需处理特定图像格式，建议安装 `opencv-python` 或 `Pillow`。\n\n## 安装步骤\n\n推荐使用 pip 进行安装。国内用户可使用清华或阿里镜像源以加速下载。\n\n### 标准安装\n```bash\npip install datumaro\n```\n\n### 使用国内镜像源加速安装\n```bash\npip install datumaro -i https:\u002F\u002Fpypi.tuna.tsinghua.edu.cn\u002Fsimple\n```\n\n### 验证安装\n安装完成后，运行以下命令检查版本以确认安装成功：\n```bash\ndatumaro --version\n```\n\n## 基本使用\n\nDatumaro 的核心工作流通常包含三个步骤：**导入 (Import)** -> **转换\u002F操作 (Transform)** -> **导出 (Export)**。\n\n### 1. 格式转换示例\n将 VOC 格式的数据集转换为 COCO 格式：\n\n```bash\ndatumaro convert --input-path .\u002Fvoc_dataset --input-format voc --output-path .\u002Fcoco_dataset --output-format coco\n```\n\n### 2. 数据集合并与过滤\n合并两个不同来源的数据集，并过滤掉不包含 \"person\" 标签的图片：\n\n```bash\n# 合并 dataset1 和 dataset2\ndatumaro merge --paths .\u002Fdataset1 .\u002Fdataset2 --output-path .\u002Fmerged_dataset\n\n# 过滤：仅保留包含 'person' 标签的图像\ndatumaro filter --input-path .\u002Fmerged_dataset --filter 'item.annotations.filter(lambda a: a.label == \"person\")' --output-path .\u002Ffiltered_dataset\n```\n\n### 3. 数据集拆分\n将数据集按 8:1:1 的比例随机拆分为 train, val, test 子集：\n\n```bash\ndatumaro split --input-path .\u002Fdataset --splits train:.8 val:.1 test:.1 --output-path .\u002Fsplit_dataset\n```\n\n### 4. 查看数据集统计信息\n快速生成数据集的统计报告（包括图像数量、标注分布等）：\n\n```bash\ndatumaro stats --input-path .\u002Fdataset\n```\n\n> **提示**：更多高级用法（如自定义过滤规则、特定任务的数据增强等）请参考官方 [用户手册](https:\u002F\u002Fopen-edge-platform.github.io\u002Fdatumaro\u002Flatest\u002Fdocs\u002Fuser-manual\u002Fhow_to_use_datumaro)。","某自动驾驶初创团队正试图整合来自公开数据集（如 Cityscapes、KITTI）和内部标注工具（CVAT）的多源数据，以训练新一代道路目标检测模型。\n\n### 没有 datumaro 时\n- **格式转换繁琐**：工程师需编写大量重复的 Python 脚本手动解析 COCO、VOC 和 CVAT 等不同格式的标注文件，极易因字段映射错误导致数据丢失。\n- **清洗逻辑分散**：剔除“被遮挡”标签或过滤小面积边界框等清洗规则散落在各个预处理脚本中，难以统一维护且容易出错。\n- **分布失衡风险**：在划分训练集与验证集时，缺乏基于标签分布的智能分割机制，常导致验证集中缺少关键类别样本，影响模型评估准确性。\n- **合并成本高昂**：将多个异构数据集合并时，需人工对齐标签名称和属性，耗时数天且难以保证数据一致性。\n\n### 使用 datumaro 后\n- **一键格式互通**：利用 datumaro 内置的转换器，通过一行 CLI 命令即可实现 Cityscapes、KITTI 与 CVAT 格式间的无损互转，彻底消除手写解析代码的需求。\n- **标准化数据清洗**：直接调用 datumaro 的过滤功能，精准移除特定类别的多边形或被遮挡标注，确保清洗逻辑可复用且透明可控。\n- **智能数据集划分**：使用基于任务特性的分割策略，自动按边界框或标签分布将数据划分为训练集和验证集，保证各类别样本比例均衡。\n- **高效数据融合**：通过简单的合并指令，将多源异构数据无缝整合为统一标准的数据集，并自动处理标签重命名与冲突，将准备时间从数天缩短至数小时。\n\ndatumaro 将原本碎片化、高风险的数据工程流程转化为标准化的自动化流水线，让团队能专注于模型优化而非数据清洗。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fopen-edge-platform_datumaro_44dd4345.png","open-edge-platform","Open Edge Platform","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002Fopen-edge-platform_bfc55d04.png","",null,"https:\u002F\u002Fgithub.com\u002Fopen-edge-platform",[82,86,90],{"name":83,"color":84,"percentage":85},"Python","#3572A5",99.1,{"name":87,"color":88,"percentage":89},"Rust","#dea584",0.9,{"name":91,"color":92,"percentage":93},"C++","#f34b7d",0.1,663,155,"2026-04-03T11:19:11","MIT",1,"未说明",{"notes":101,"python":99,"dependencies":102},"README 中未明确列出具体的运行环境需求（如操作系统、Python 版本、依赖库等）。该工具主要用于数据集的构建、转换和分析，支持多种数据集格式（如 COCO, VOC, YOLO 等）的读写与转换。具体安装要求和依赖信息需参考官方文档或安装指南。",[],[51,13,14],[105,106,107,108,109,110,111,112,113,114,115],"deep-learning","neural-networks","computer-vision","datasets","format-converter","dataset","coco","imagenet","pascal-voc","yolo","geti","2026-03-27T02:49:30.150509","2026-04-06T11:31:10.045844",[119,124,129,134,138,142],{"id":120,"question_zh":121,"answer_zh":122,"source_url":123},10067,"如何合并两个分别标注的 COCO JSON 文件？","可以使用 Python 脚本手动合并，需要重新调整第二个数据集中的 image_id、annotation_id 以及对应的 image_id 引用，以避免 ID 冲突。具体步骤如下：\n1. 读取两个 JSON 文件。\n2. 计算第一个文件中最大的 image_id 和 annotation_id。\n3. 将第二个文件中的 image['id'] 加上最大 image_id。\n4. 将第二个文件中的 annotation['id'] 加上最大 annotation_id，并将 annotation['image_id'] 加上最大 image_id。\n5. 合并 images 和 annotations 列表并保存。\n\n或者，如果使用 Datumaro v0.3+ 版本，可以直接使用命令合并数据集，无需手动处理 ID：\n`datum add -p proj1\u002F -f coco_instances \u002Fpath\u002Fto\u002Fannotations.json`\n也可以使用 `datum patch` 命令来连接两个数据集。","https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fissues\u002F16",{"id":125,"question_zh":126,"answer_zh":127,"source_url":128},10068,"导出 LabelMe 3.0 格式时遇到“仅支持扁平图像布局”的错误怎么办？","该错误通常是因为上传的图像包含文件夹路径（如 root\u002FFolder\u002FImage.jpg），而 LabelMe 导出器期望扁平结构或特定的 XML 标签配置。解决方法如下：\n1. 收集所有需要的 XML 文件到一个文件夹中。\n2. 确保每个 XML 文件中的 `\u003Cfilename>` 和 `\u003Cfolder>` 标签填写正确，使其与共享路径或实际文件结构匹配。\n3. 将该文件夹打包成 ZIP 文件并上传。\n注意：可以通过在任务中先标注少量数据并导出，来查看预期的文件结构和 XML 格式要求。","https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fissues\u002F17",{"id":130,"question_zh":131,"answer_zh":132,"source_url":133},10069,"如何从 CVAT 导出适用于 Mask R-CNN 训练的 TFRecord 格式数据（包含 XML 和 PNG 掩码）？","CVAT 默认导出的格式可能不直接包含训练 Mask R-CNN 所需的 XML 和 PNG 掩码组合。建议使用 Datumaro 进行转换：\n1. 从 CVAT 导出多边形数据集。\n2. 使用 Datumaro 命令导出为 VOC 格式，并添加 `--label-map=source` 参数以生成正确的标签映射和文件结构：\n   `datum project export -p masks_proj -f voc -- --label-map=source`\n3. 转换后的数据将包含所需的 XML 文件和 PNG 掩码，随后可进一步转换为 TFRecord 格式用于训练。","https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fissues\u002F28",{"id":135,"question_zh":136,"answer_zh":137,"source_url":123},10070,"Datumaro 中 `datum add` 命令的路径参数在新版本中有什么变化？","在 Datumaro v0.3 及更高版本中，`datum add` 命令不再需要显式指定 `\"path\"` 部分。用法更新如下：\n- 如果只处理单独的标注文件：\n  `datum add -p proj1\u002F -f coco_instances \u002Fhome\u002Fuser\u002Fdata\u002Ftest\u002Fannotations\u002Ftest_annotations.json`\n- 如果处理包含标注文件的 COCO 风格数据集目录：\n  `datum add -p proj1\u002F -f coco_instances -r annotations\u002Ftest_annotations.json \u002Fhome\u002Fuser\u002Fdata\u002Ftest\u002F`\n建议查阅官方文档获取最新的命令参考。",{"id":139,"question_zh":140,"answer_zh":141,"source_url":128},10071,"上传多个文件夹的 LabelMe 注释时为什么报错找不到匹配的帧？","上传多个文件夹或扁平化所有 XML 文件时出错，通常是因为文件名与任务中的图像帧名称不匹配。解决方法：\n1. 确保 XML 文件中的 `\u003Cfilename>` 标签严格对应图像文件的名称（不含多余路径前缀，除非任务配置如此）。\n2. 如果图像上传时保留了文件夹结构，XML 中的 `\u003Cfolder>` 标签也应正确反映该结构。\n3. 推荐先将所有 XML 整理到一个文件夹，修正标签内容后打包上传，而不是直接上传包含子目录结构的压缩包。",{"id":143,"question_zh":144,"answer_zh":145,"source_url":133},10072,"如何使用 Datumaro 将数据集从一种格式（如 COCO）转换为另一种格式（如 YOLO 或 VOC）？","可以使用 `datum project transform` 和 `datum project export` 命令链式操作：\n1. 首先导入或创建项目。\n2. 使用 `transform` 命令创建中间数据集（如有必要）。\n3. 使用 `export` 命令导出为目标格式。例如，导出为 VOC 格式时需指定 label-map：\n   `datum project export -p my_project -f voc -- --label-map=source`\n   导出为 COCO 或 TF 实例格式时通常不需要 `--label-map` 参数。\n此流程支持从 CVAT 导出的数据转换为多种深度学习框架所需的格式。",[147,152,157,162,167,172,177,182,187,192,197,202,207,212,217,222,227,232,237,242],{"id":148,"version":149,"summary_zh":150,"released_at":151},117030,"v1.12.0","This release streamlines Datumaro by removing a number of lesser-used features, helping to simplify the tool and reduce its dependencies. These changes are part of an effort to keep Datumaro focused on its core strengths: dataset management and integration with machine learning frameworks. As part of this update, inference-related features have been removed. For inference tasks, we recommend using the [OpenVINO model API](https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fmodel_api). If you rely on a specific feature that is no longer available, you can still access it from [the previous version of Datumaro](https:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Ftree\u002Fv1.11.1).\r\n\r\n### Removed features\r\n- CLI commmands:\r\n  - explain, explore, generate, prune\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1812>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1813>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1814>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1815>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1880>)\r\n  - model: add, remove, run, info\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1816>)\r\n  - project: add, create, export, import, remove, checkout, commit, log, info, status\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1816>)\r\n  - source: import, add, remove\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1816>)\r\n- API features:\r\n  - Model inference\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1831>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1825>)\r\n  - Model-based transformations\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1826>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1839>)\r\n  - Crypter\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1829>)\r\n  - Synthetic dataset generation\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1815>)\r\n  - Data exploration\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1814>)\r\n  - BBox to mask using SAM\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1826>)\r\n  - Telemetry\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1828>)\r\n  - Anchor generation\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1832>)\r\n  - Missing annotation detection\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1826>)\r\n  - Model inference explanation\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1812>)\r\n  - Near-duplicate removal\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1835>)\r\n  - Pruning\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1813>)\r\n  - Pseudo-labels\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1814>)\r\n  - Project\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1824>)\r\n  - Noisy label detection\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1833>)\r\n  - Data shift analysis\r\n    (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1827>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1892>)\r\n- SAM Docker image\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1830>)\r\n\r\n### New features\r\n- Experimental dataset class\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1807>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1810>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1811>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1834>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1858>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1845>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1863>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1868>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1876>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1877>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1879>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1881>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1891>)\r\n- New OpenVino Accuracy Checker semantic segmentation format\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1893>)\r\n\r\n### Enhancements\r\n- Mark several dependencies as optional\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1849>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1862>)\r\n- Removal of unneeded dependencies\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1837>)\r\n- Documentation tidy-up\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1840>)\r\n- DCO introduction; readme, PR template, and contribution guide tidy-up\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1844>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1860>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1856>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1847>)\r\n- Fix code coverage upload to Codecov in the CI\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1861>)\r\n- Fix crashes with certain datasets in the compare command\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fp","2025-09-25T09:19:51",{"id":153,"version":154,"summary_zh":155,"released_at":156},117031,"v1.11.1","### Enhancements\r\n\r\n- Bump version of NumPy and OpenVINO\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1803>)\r\n- Support for Python 3.13 and MacOS\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1804>)","2025-07-28T12:02:56",{"id":158,"version":159,"summary_zh":160,"released_at":161},117032,"v1.11.0","This release includes a significant number of deprecations in the CLI and API.\r\nThis is a one-off action to remove unused features as well as features\r\nsuch as inference which do not fit well in Datumaro. We intend to remove those\r\nfeatures in Datumaro 1.12.0.\r\n\r\n### New features\r\n- Convert Cuboid2D annotation to\u002Ffrom 3D data\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1639>)\r\n- Add label groups for hierarchical classification in ImageNet\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1645>)\r\n\r\n### Enhancements\r\n- Add non-strict mode to JsonPageMapper in rust API and enable it for COCO\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1753>)\r\n- Enhance 'id_from_image_name' transform to ensure each identifier is unique\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1635>)\r\n- Optimize path assignment to handle point cloud in JSON without images\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1643>)\r\n- Add documentation for framework conversion\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1659>)\r\n\r\n### Bug fixes\r\n- Fix assertion to compare hashkeys against expected value\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1641>)\r\n- Mark pyemd as optional since it does not support Python 3.12\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1770>)\r\n\r\n### Deprecations\r\n- Added deprecation to the following CLI commmands:\r\n  - explain, explore, generate, prune\r\n  - model: add, remove, run, info\r\n  - project: add, create, export, import, remove, checkout, commit, log, info, status\r\n  - source: import, add, remove\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1792>)\r\n- Added deprecation notices to the following features that will soon be removed:\r\n  - Model inference\r\n  - Model-based transformations\r\n  - Crypter\r\n  - Synthetic dataset generation\r\n  - Data exploration\r\n  - BBox to mask using SAM\r\n  - Telemetry\r\n  - Anchor generation\r\n  - Missing annotation detection\r\n  - Model inference explanation\r\n  - Near-duplicate removal\r\n  - Pruning\r\n  - Pseudo-labels\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1776>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1780>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1792>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1795>)\r\n- Deprecation of the SAM Docker image\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1783>)\r\n- Deprecation of Project and related features (\u003Chttps:\u002F\u002Fgithub.com\u002Fopen-edge-platform\u002Fdatumaro\u002Fpull\u002F1793>)","2025-07-18T08:06:34",{"id":163,"version":164,"summary_zh":165,"released_at":166},117033,"v1.10.0","### New features\r\n- Add default position information to PointsCategories class\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1702>)\r\n- Support KITTI 3D format\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1619>)\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1621>)\r\n- Add PseudoLabeling transform for unlabeled dataset\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1594>)\r\n\r\n### Enhancements\r\n- Raise an appropriate error when exporting a datumaro dataset if its subset name contains path separators.\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1615>)\r\n- Update docs for transform plugins\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1599>)\r\n- Update ov ir model for explorer openvino launcher with CLIP ViT-L\u002F14@336px model\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1603>)\r\n- Optimize path assignment to handle point cloud in JSON without images\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1643>)\r\n- Set TabularTransform to process clean transform in parallel\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1648>)\r\n- Add support for Python 3.12\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1701>)\r\n\r\n### Bug fixes\r\n- Fix datumaro format to load visibility information from Points annotations\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1644>)","2025-03-14T13:08:40",{"id":168,"version":169,"summary_zh":170,"released_at":171},117034,"v1.10.0rc1","## What's Changed\r\n* Update ov ir model for explorer openvino launcher with CLIP ViT-L\u002F14@336px model by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1603\r\n* Fix datumaro keypoint loading by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1644\r\n* Update assets for explorer by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1647\r\n* Optimize path assignment to handle point cloud in JSON without images by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1649\r\n* Fix to get image of tabular data in FrameConverter by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1650\r\n* Set TabularTransform to process clean transform in parallel by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1648\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.10.0rc0...v1.10.0rc1","2024-10-23T05:09:21",{"id":173,"version":174,"summary_zh":175,"released_at":176},117035,"v1.10.0rc0","## What's Changed\r\n* Fix bug where custom environment plugins were lost on dataset merge by @williamcorsel in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1582\r\n* Bump github\u002Fcodeql-action from 3.26.2 to 3.26.4 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1589\r\n* Support language dataset for DmTorchDataset by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1588\r\n* Revert \"Support language dataset for DmTorchDataset\" by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1591\r\n* Bump github\u002Fcodeql-action from 3.26.4 to 3.26.6 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1593\r\n* Bump pypa\u002Fgh-action-pypi-publish from 1.9.0 to 1.10.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1600\r\n* Mergeback 1.9.0 to develop by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1604\r\n* Revert \"Mergeback 1.9.0 to develop\" by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1605\r\n* Mergeback 1.9.0 to develop by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1606\r\n* Add Cuboid2D annotation by @itrushkin in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1601\r\n* Bump pypa\u002Fgh-action-pypi-publish from 1.10.1 to 1.10.2 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1617\r\n* Handle path separators in the subset when exporting a datumaro dataset by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1615\r\n* Add PseudoLabeling transform for unlabeled dataset by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1594\r\n* Update docs for transform plugins by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1599\r\n* Support KITTI 3D format by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1619\r\n* Mergeback 1.9.1 to develop by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1623\r\n* Support subset for KITTI 3D format by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1621\r\n\r\n## New Contributors\r\n* @williamcorsel made their first contribution in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1582\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.9.1...v1.10.0rc0","2024-09-29T23:58:58",{"id":178,"version":179,"summary_zh":180,"released_at":181},117036,"v1.9.1","## What's Changed - Brief version\r\n### Enhancements\r\n- Support multiple labels for kaggle format\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1607>)\r\n- Use DataFrame.map instead of DataFrame.applymap\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1613>)\r\n\r\n### Bug fixes\r\n- Fix StreamDataset merging when importing in eager mode\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1609>)\r\n\r\n## What's Changed - Full version\r\n* Support multiple labels for kaggle format by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1607\r\n* Update version to 1.9.1rc0 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1611\r\n* Fix merging of stream datasets by @itrushkin in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1609\r\n* Use DataFrame.map instead of DataFrame.applymap by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1613\r\n* Update for release 1.9.1 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1622\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.9.0...v1.9.1","2024-09-29T23:57:54",{"id":183,"version":184,"summary_zh":185,"released_at":186},117037,"v1.9.0","## What's Changed - Brief version\r\n### New features\r\n- Add a new CLI command: datum format\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1570>)\r\n- Support language dataset for DmTorchDataset\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1592>)\r\n\r\n### Enhancements\r\n- Change _Shape to Shape and add comments for subclasses of Shape\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1568>)\r\n\r\n### Bug fixes\r\n- Fix KITTI-3D importer and exporter\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1596>)\r\n\r\n## What's Changed - Full version\r\n* Add hierarchical ImageNet-like dataset format by @itrushkin in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1528\r\n* Verify w and h input multiplication overflow to rleEncode() by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1544\r\n* Add dtype argument when calling media.data by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1546\r\n* Mergeback 1.8.0 to develop by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1566\r\n* Bump aquasecurity\u002Ftrivy-action from 0.23.0 to 0.24.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1561\r\n* Bump orjson from 3.10.5 to 3.10.6 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1553\r\n* Bump github\u002Fcodeql-action from 3.25.10 to 3.25.11 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1552\r\n* Bump ipython from 8.25.0 to 8.26.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1551\r\n* Bump github\u002Fcodeql-action from 3.25.11 to 3.25.12 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1567\r\n* Add a new CLI command: datum format by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1570\r\n* Change _Shape to Shape and add comments for subclasses of Shape by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1568\r\n* Bump ossf\u002Fscorecard-action from 2.3.3 to 2.4.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1574\r\n* Bump github\u002Fcodeql-action from 3.25.12 to 3.25.15 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1575\r\n* Make ImageNet data format streamable by @itrushkin in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1571\r\n* Make image dirs data format streamable by @itrushkin in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1576\r\n* Bump orjson from 3.10.6 to 3.10.7 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1581\r\n* Bump github\u002Fcodeql-action from 3.25.15 to 3.26.2 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1584\r\n* Update issue_assignment.yml by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1585\r\n* Change common semantic segmentation dataset detection rule by @itrushkin in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1572\r\n* Support language dataset for DmTorchDataset by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1592\r\n* Fix KITTI-3D importer and exporter by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1596\r\n* Update tpp for 1.9.0 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1597\r\n* update for release 1.9.0 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1602\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.8.0...v1.9.0","2024-09-11T07:34:37",{"id":188,"version":189,"summary_zh":190,"released_at":191},117038,"v1.8.0","## What's Changed - Brief version\r\n### New features\r\n- Add TabularValidator\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1498>)\r\n- Add Clean Transform for tabular data type\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1520>)\r\n\r\n### Enhancements\r\n- Set label name with parents to avoid duplicates for AstypeAnnotations\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1492>)\r\n- Pass Keyword Argument to TabularDataBase\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1522>)\r\n- Support hierarchical structure for ImageNet dataset format\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1528>)\r\n- Enable dtype argument when calling media.data\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1546>)\r\n\r\n### Bug fixes\r\n- Preserve end_frame information of a video when it is zero.\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1541>)\r\n- Changed the Datumaro format to ensure exported videos have relative paths and to prevent the same video from being overwritten.\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1547>)\r\n\r\n## What's Changed - Full version\r\n* Set label name with parents to avoid duplicates for AstypeAnnotations by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1492\r\n* Add TabularValidator by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1498\r\n* Add TblStats in Configurable Validator by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1504\r\n* Bump github\u002Fcodeql-action from 3.25.4 to 3.25.6 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1502\r\n* Bump aquasecurity\u002Ftrivy-action from 0.20.0 to 0.21.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1506\r\n* Bump ruff from 0.4.3 to 0.4.5 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1505\r\n* Bump pozil\u002Fauto-assign-issue from 1.14.0 to 2.0.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1500\r\n* Bump ossf\u002Fscorecard-action from 2.3.1 to 2.3.3 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1496\r\n* Bump ruff from 0.4.5 to 0.4.6 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1512\r\n* Bump github\u002Fcodeql-action from 3.25.6 to 3.25.7 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1516\r\n* Bump ruff from 0.4.6 to 0.4.7 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1517\r\n* Doc update to replace `--save-images` is replaced with `--save-media` by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1514\r\n* Pass Keyword Argument to TabularDataBase by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1522\r\n* Add correct functionality for tabular data type by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1513\r\n* Add Clean Transform for tabular data type by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1520\r\n* Mergeback 1.7.0 to develop by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1538\r\n* Bump aquasecurity\u002Ftrivy-action from 0.21.0 to 0.23.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1536\r\n* Revert \"Mergeback 1.7.0 to develop\" by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1539\r\n* Mergeback 1.7.0 to develop by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1540\r\n* Bump pypa\u002Fgh-action-pypi-publish from 1.8.14 to 1.9.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1535\r\n* Bump ruff from 0.4.7 to 0.4.9 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1532\r\n* Bugfix when end_frame is zero by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1541\r\n* Bump github\u002Fcodeql-action from 3.25.7 to 3.25.10 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1531\r\n* Bump opencv-python-headless from 4.9.0.80 to 4.10.0.84 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1537\r\n* Bump ruff from 0.4.9 to 0.4.10 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1543\r\n* Bump ipython from 8.24.0 to 8.25.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1518\r\n* Bump orjson from 3.10.3 to 3.10.5 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1530\r\n* Apply clean transform of updated annotations only for tabular annotation type by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1533\r\n* verify w and h input multiplication overflow to rleEncode() by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1548\r\n* Video bug fix by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1547\r\n* Add notebook for data handling of kaggle dataset by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1534\r\n* Update pre-commit config to pin ruff dependency for nbqa-ruff by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1550\r\n* Update for release 1.8.0rc0 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1559\r\n* Support hierarchical structure for ","2024-07-12T06:14:42",{"id":193,"version":194,"summary_zh":195,"released_at":196},117039,"v1.7.0","## What's Changed - Brief Version\r\n### New features\r\n- Support 'Video' media type in datumaro format\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1491>)\r\n- Add ann_types property for dataset\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1422>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1479>)\r\n- Add AnnotationType.rotated_bbox for oriented object detection\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1459>)\r\n- Add DOTA data format for oriented object detection task\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1475>)\r\n- Add AstypeAnnotations Transform\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1484>)\r\n- Enhance DatasetItem annotations for semantic segmentation model training use case\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1503>)\r\n\r\n### Enhancements\r\n- Fix ambiguous COCO format detector\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1442>)\r\n- Get target information for tabular dataset\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1471>)\r\n- Add ExtractedMask and update importers who can use it to use it\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1480>)\r\n- Improve PIL and COLOR_BGR context image decode performance\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1501>)\r\n- Improve get_area() of Polygon through Shoelace formula\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1507>)\r\n- Improve _Shape point converter\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1508>)\r\n\r\n### Bug fixes\r\n- Split the video directory into subsets to avoid overwriting\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1485>)\r\n\r\n## What's Changed - Full Version\r\n* Bump github\u002Fcodeql-action from 3.24.9 to 3.24.10 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1418\r\n* Bump ipython from 8.22.2 to 8.23.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1413\r\n* Bump lxml from 5.2.0 to 5.2.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1414\r\n* Bump pozil\u002Fauto-assign-issue from 1.13.0 to 1.14.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1417\r\n* Add task type information when importing by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1422\r\n* Bump black from 24.3.0 to 24.4.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1433\r\n* Bump ruff from 0.3.5 to 0.3.7 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1434\r\n* Bump orjson from 3.10.0 to 3.10.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1441\r\n* Bump github\u002Fcodeql-action from 3.24.10 to 3.25.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1440\r\n* Mergeback releases\u002F1.6.0 to develop by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1428\r\n* Fix ambiguous coco format detector by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1442\r\n* Bump github\u002Fcodeql-action from 3.25.0 to 3.25.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1451\r\n* Update dependabot config to prevent redundant PR creation by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1455\r\n* Add new annotation type RotatedBbox by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1459\r\n* Bump ruff from 0.3.7 to 0.4.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1464\r\n* Bump actions\u002Fcheckout from 3 to 4 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1462\r\n* Update dependabot config by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1469\r\n* Bump black from 24.4.0 to 24.4.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1473\r\n* Bump github\u002Fcodeql-action from 3.25.1 to 3.25.2 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1470\r\n* Get target information for tabular dataset by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1471\r\n* Support DOTA data format for oriented object detection task by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1475\r\n* Mergeback 1.6.1rc4 to develop by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1478\r\n* Bump ruff from 0.4.1 to 0.4.2 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1476\r\n* Bump github\u002Fcodeql-action from 3.25.2 to 3.25.3 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1477\r\n* Bump black from 24.4.1 to 24.4.2 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1482\r\n* Bump ipython from 8.23.0 to 8.24.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1481\r\n* Add ExtractedMask and update importers who can use it to use it by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1480\r\n* Support annotation types instead of task type by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1479\r\n* Split video directory by subset in datumaro format.  by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F148","2024-06-10T06:58:24",{"id":198,"version":199,"summary_zh":200,"released_at":201},117040,"v1.7.0rc1","## What's Changed\r\n* Bump github\u002Fcodeql-action from 3.24.9 to 3.24.10 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1418\r\n* Bump ipython from 8.22.2 to 8.23.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1413\r\n* Bump lxml from 5.2.0 to 5.2.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1414\r\n* Bump pozil\u002Fauto-assign-issue from 1.13.0 to 1.14.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1417\r\n* Add task type information when importing by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1422\r\n* Bump black from 24.3.0 to 24.4.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1433\r\n* Bump ruff from 0.3.5 to 0.3.7 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1434\r\n* Bump orjson from 3.10.0 to 3.10.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1441\r\n* Bump github\u002Fcodeql-action from 3.24.10 to 3.25.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1440\r\n* Mergeback releases\u002F1.6.0 to develop by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1428\r\n* Fix ambiguous coco format detector by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1442\r\n* Bump github\u002Fcodeql-action from 3.25.0 to 3.25.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1451\r\n* Update dependabot config to prevent redundant PR creation by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1455\r\n* Add new annotation type RotatedBbox by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1459\r\n* Bump ruff from 0.3.7 to 0.4.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1464\r\n* Bump actions\u002Fcheckout from 3 to 4 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1462\r\n* Update dependabot config by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1469\r\n* Bump black from 24.4.0 to 24.4.1 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1473\r\n* Bump github\u002Fcodeql-action from 3.25.1 to 3.25.2 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1470\r\n* Get target information for tabular dataset by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1471\r\n* Support DOTA data format for oriented object detection task by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1475\r\n* Mergeback 1.6.1rc4 to develop by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1478\r\n* Bump ruff from 0.4.1 to 0.4.2 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1476\r\n* Bump github\u002Fcodeql-action from 3.25.2 to 3.25.3 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1477\r\n* Bump black from 24.4.1 to 24.4.2 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1482\r\n* Bump ipython from 8.23.0 to 8.24.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1481\r\n* Add ExtractedMask and update importers who can use it to use it by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1480\r\n* Support annotation types instead of task type by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1479\r\n* Split video directory by subset in datumaro format.  by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1485\r\n* Update stability tests by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1483\r\n* Add AstypeAnnotations Transform by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1484\r\n* Bump ruff from 0.4.2 to 0.4.3 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1490\r\n* Download Kaggle datasets by @itrushkin in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1487\r\n* Bump orjson from 3.10.1 to 3.10.3 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1489\r\n* Bump github\u002Fcodeql-action from 3.25.3 to 3.25.4 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1493\r\n* Bump aquasecurity\u002Ftrivy-action from 0.19.0 to 0.20.0 by @dependabot in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1494\r\n* Update pillow constraint to >=10.3.0 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1495\r\n* Enabled support for 'Video' media type in the datumaro format by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1491\r\n* Improve PIL and COLOR_BGR context image decode performance by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1501\r\n* Enhance DatasetItem annotations for semantic segmentation model training use case by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1503\r\n* Improve get_area() for polygons through Shoelace formula by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1507\r\n* Improve Shape point converter by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1508\r\n* Update codeql workflow by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1515\r\n\r\n\r\n**Full Changelog**: htt","2024-06-03T01:44:03",{"id":203,"version":204,"summary_zh":205,"released_at":206},117041,"v1.6.1","## What's Changed - Brief Version\r\n### Enhancements\r\n- Prevent AcLauncher for OpenVINO 2024.0\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1450>)\r\n\r\n### Bug fixes\r\n- Modify lxml dependency constraint\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1460>)\r\n- Fix CLI error occurring when installed with default option only\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fissues\u002F1444>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1454>)\r\n- Relax Pillow dependency constraint\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1436>)\r\n- Modify Numpy dependency constraint\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1435>)\r\n- Relax old pandas version constraint\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1467>)\r\n\r\n## What's Changed - Full Version\r\n* Modify numpy dependency constraint by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1435\r\n* Modify pillow constraint by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1436\r\n* Update version string to 1.6.1rc2 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1437\r\n* Prevent AcLauncher for OpenVINO 2024.0 by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1450\r\n* Handling tfds import part to prevent cli error when installing datumaro with default option only by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1454\r\n* Update lxml deps constraint by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1460\r\n* Relax old pandas version constraint by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1467\r\n* Update for release 1.6.1 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1468\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.6.0...v1.6.1rc4","2024-05-03T06:43:18",{"id":208,"version":209,"summary_zh":210,"released_at":211},117042,"v1.6.1rc3","## What's Changed\r\n* Modify numpy dependency constraint by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1435\r\n* Modify pillow constraint by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1436\r\n* Update version string to 1.6.1rc2 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1437\r\n* Prevent AcLauncher for OpenVINO 2024.0 by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1450\r\n* Handling tfds import part to prevent cli error when installing datumaro with default option only by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1454\r\n* Update lxml deps constraint by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1460\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.6.0...v1.6.1rc3","2024-04-19T02:43:55",{"id":213,"version":214,"summary_zh":215,"released_at":216},117043,"v1.6.1rc2","## What's Changed\r\n* Modify numpy dependency constraint by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1435\r\n* Modify pillow constraint by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1436\r\n* Update version string to 1.6.1rc2 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1437\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.6.0...v1.6.1rc2","2024-04-15T13:12:05",{"id":218,"version":219,"summary_zh":220,"released_at":221},117044,"v1.6.1rc1","## What's Changed\r\n* Modify numpy dependency constraint by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1435\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.6.0...v1.6.1rc1","2024-04-15T10:06:17",{"id":223,"version":224,"summary_zh":225,"released_at":226},117045,"v1.6.0","## What's Changed - Brief Version\r\n### New features\r\n- Changed supported Python version range (>=3.9, \u003C=3.11)\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1269>)\r\n- Support MMDetection COCO format\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1213>)\r\n- Develop JsonSectionPageMapper in Rust API\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1224>)\r\n- Add Filtering via User-Provided Python Functions\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1230>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1233>)\r\n- Remove supporting MacOS platform\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1235>)\r\n- Support Kaggle image data (`KaggleImageCsvBase`, `KaggleImageTxtBase`, `KaggleImageMaskBase`, `KaggleVocBase`, `KaggleYoloBase`)\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1240>)\r\n- Add `__getitem__()` for random accessing with O(1) time complexity\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1247>)\r\n- Add Data-aware Anchor Generator\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1251>)\r\n- Support bounding box import within Kaggle extractors and add `KaggleCocoBase`\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1273>)\r\n\r\n### Enhancements\r\n- Optimize Python import to make CLI entrypoint faster\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1182>)\r\n- Add ImageColorScale context manager\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1194>)\r\n- Enhance visualizer to toggle plot title visibility\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1228>)\r\n- Enhance Datumaro data format detect() to be memory-bounded and performant\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1229>)\r\n- Change RoIImage and MosaicImage to have np.uint8 dtype as default\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1245>)\r\n- Enable image backend and color channel format to be selectable\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1246>)\r\n- Boost up `CityscapesBase` and `KaggleImageMaskBase` by dropping `np.unique`\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1261>)\r\n- Enhance RISE algortihm for explainable AI\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1263>)\r\n- Enhance explore unit test to use real dataset from ImageNet\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1266>)\r\n- Fix each method of the comparator to be used separately\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1290>)\r\n- Bump ONNX version to 1.16.0\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1376>)\r\n- Print the color channel format (RGB) for datum stats command\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1389>)\r\n- Add ignore_index argument to Mask.as_class_mask() and Mask.as_instance_mask()\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1409>)\r\n\r\n### Bug fixes\r\n- Fix wrong example of Datumaro dataset creation in document\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1195>)\r\n- Fix wrong command to install datumaro from github\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1202>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1207>)\r\n- Update document to correct wrong `datum project import` command and add filtering example to filter out items containing annotations.\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1210>)\r\n- Fix label compare of distance method\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1205>)\r\n- Fix Datumaro visualizer's import errors after introducing lazy import\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1220>)\r\n- Fix broken link to supported formats in readme\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1221>)\r\n- Fix Kinetics data format to have media data\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1223>)\r\n- Handling undefined labels at the annotation statistics\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1232>)\r\n- Add unit test for item rename\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1237>)\r\n- Fix a bug in the previous behavior when importing nested datasets in the project\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1243>)\r\n- Fix Kaggle importer when adding duplicated labels\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1244>)\r\n- Fix input tensor shape in model interpreter for OpenVINO 2023.3\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1251>)\r\n- Add default value for target in prune cli\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1253>)\r\n- Remove deprecated MediaManager\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1262>)\r\n- Fix explore command without project\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1271>)\r\n- Fix enable COCO to import only bboxes\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1360>)\r\n- Fix resize transform for RleMask annotation\r\n- (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1361>)\r\n- Fix import YOLO variants from extractor when `urls` is not specified\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F13","2024-04-12T07:04:58",{"id":228,"version":229,"summary_zh":230,"released_at":231},117046,"v1.5.2","## What's Changed - Brief Version\r\n### Enhancements\r\n- Add memory bounded datumaro data format detect.\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1241>)\r\n- Set protobuf version constraint to 4.*\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1260>)\r\n\r\n## What's Changed- Full Version\r\n* Add memory bounded datumaro data format detect to release 1.5.1 by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1241\r\n* Update protobuf version by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1248\r\n* Update for 1.5.2 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1250\r\n* Update changelog and release note by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1256\r\n* Set protobuf version constraint to 4.* by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1260\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.5.1...v1.5.2","2024-02-22T04:14:51",{"id":233,"version":234,"summary_zh":235,"released_at":236},117047,"v1.6.0rc1","## What's Changed\r\n* Add marker to new feature tests by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1148\r\n* Add multi-threading option to ModelTransform and SAMBboxToInstanceMask by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1145\r\n* Fix flaky test by setting the join timeout to infinite by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1149\r\n* Update for release 1.5.0rc2 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1150\r\n* Update for release1.5.0 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1151\r\n* Fix typos in release notes and changelog by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1157\r\n* Enhance Datumaro data format stream importer performance by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1153\r\n* fix errata in voc doc by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1163\r\n* upgrade openvino version to 2023.1 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1164\r\n* Add SAMAutomaticMaskGeneration transform by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1168\r\n* Fix doc links for 1.5.1 by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1165\r\n* Update our CI OS from `windows-2019` to `windows-2022` by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1172\r\n* Fix memory unbounded Arrow data format export\u002Fimport by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1169\r\n* Revert openvino version to 2023.0 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1170\r\n* Change image default dtype from float32 to uint8 by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1175\r\n* update explore path by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1176\r\n* Mergeback 1.5.1rc2 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1181\r\n* Fix imagenet when importing a dataset with non-directory files by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1179\r\n* warning instead of raising an error for unsupported annotation types by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1180\r\n* Update CVAT format doc to bypass warning by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1183\r\n* Add comparison level-up doc by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1174\r\n* Optimize Python import to make CLI entrypoint faster by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1182\r\n* Add ImportError to catch GitPython import error by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1186\r\n* Versionup\u002F1.5.1rc3 by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1187\r\n* [Bug fix] restore test for splitting video by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1188\r\n* Update publish workflow to use internal pypi by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1191\r\n* Update tag checking step to parse from release branch by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1192\r\n* Update release note by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1193\r\n* Add ImageColorScale context manager by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1194\r\n* Fix wrong example of Datumaro dataset creation in document by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1195\r\n* Mergeback 1.5.1 to develop by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1200\r\n* update document regarding installation command from github by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1202\r\n* hotfix indent of installation document by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1207\r\n* correct datum project import examples by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1210\r\n* Fix label compare of distance method by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1205\r\n* Add MMDetection COCO format importer by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1213\r\n* Update code scanning wf for reporting bandit detection as eror by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1215\r\n* Update version constraint for dvc and tfds by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1218\r\n* Upgrade OpenVINO by @sovrasov in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1196\r\n* fix broken link to supported formats by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1221\r\n* Fix Datumaro visualizer's import errors after introducing lazy import by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1220\r\n* Enable fuzzing to the CLI by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1222\r\n* Develop JsonSectionPageMapper in Rust API by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1224\r\n* Add nosec B311 directives by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenv","2024-01-12T02:42:14",{"id":238,"version":239,"summary_zh":240,"released_at":241},117048,"v1.5.1","## What's Changed - Brief Version\r\n### Enhancements\r\n- Enhance Datumaro data format stream importer performance\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1153>)\r\n- Change image default dtype from float32 to uint8\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1175>)\r\n- Add comparison level-up doc\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1174>)\r\n- Add ImportError to catch GitPython import error\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1174>)\r\n\r\n### Bug fixes\r\n- Modify the draw function in the visualizer not to raise an error for unsupported annotation types.\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1180>)\r\n- Correct explore path in the related document.\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1176>)\r\n- Fix errata in the voc document. Color values in the labelmap.txt should be separated by commas, not colons.\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1162>)\r\n- Fix hyperlink errors in the document\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1159>, \u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1161>)\r\n- Fix memory unbounded Arrow data format export\u002Fimport\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1169>)\r\n- Update CVAT format doc to bypass warning\r\n  (\u003Chttps:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1183>)\r\n\r\n\r\n## What's Changed- Full Version\r\n* Fix typos in release notes and changelog by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1157\r\n* Enhance Datumaro data format stream importer performance by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1153\r\n* fix errata in voc doc by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1163\r\n* upgrade openvino version to 2023.1 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1164\r\n* Fix doc links for 1.5.1 by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1165\r\n* Update our CI OS from `windows-2019` to `windows-2022` by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1172\r\n* Fix memory unbounded Arrow data format export\u002Fimport by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1169\r\n* Revert openvino version to 2023.0 by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1170\r\n* Change image default dtype from float32 to uint8 by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1175\r\n* update explore path by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1176\r\n* Fix imagenet when importing a dataset with non-directory files by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1179\r\n* warning instead of raising an error for unsupported annotation types by @jihyeonyi in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1180\r\n* Update CVAT format doc to bypass warning by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1183\r\n* Add comparison level-up doc by @sooahleex in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1174\r\n* Add ImportError to catch GitPython import error by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1186\r\n* Versionup\u002F1.5.1rc3 by @vinnamkim in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1187\r\n* [Bug fix] restore test for splitting video by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1188\r\n* Update publish workflow to use internal pypi by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1191\r\n* Update tag checking step to parse from release branch by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1192\r\n* Update release note by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1193\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.5.0...v1.5.1","2024-01-05T01:21:02",{"id":243,"version":244,"summary_zh":245,"released_at":246},117049,"v1.5.1rc4","## What's Changed\r\n* [Bug fix] restore test for splitting video by @wonjuleee in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1188\r\n* Update publish workflow to use internal pypi by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1191\r\n* Update tag checking step to parse from release branch by @yunchu in https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fpull\u002F1192\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Fopenvinotoolkit\u002Fdatumaro\u002Fcompare\u002Fv1.5.1rc3...v1.5.1rc4","2023-11-14T05:23:18"]