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V0.5.0(2023.1)

• code
  • Support YOLOv8 instance seg (YOLOv8 支持实例分割)
  • Added a script to verify whether the installation was successful (新增快速验证是否安装成功的脚本) [Feature] Add a script to verify whether the installation was successful  #487

V0.2.0(2022.11)

• code
  • Support YOLOv6 MLX model(支持 YOLOV6 MLX 模型) [Feature] Support YOLOv6 ML model #265
  • Align PPYOLOE training mAP(对齐 PPYOLOE 训练精度) [Feature] Support PPYOLOE training #259
  • Align YOLOv7 training mAP(对齐 YOLOv7 训练精度) [Feature] Support YOLOv7 P5 training #243 [Feature] Support YOLOv7 P6 training #310
  • Support Grad-free CAM and Grad-based CAM(支持 Grad-based CAM 和 Grad-free CAM) [Feature] Support grad-based cam and grad-free cam  #234
  • Integrate sahi repo (集成 sahi) sahi support in v0.2.0 #230 [Feature] Add large image demo with sahi #284
  • Added a script to verify whether the installation was successful (新增快速验证是否安装成功的脚本) [WIP] [Feature] Add installation check script #277
  • demo/featmap_vis_demo.py script supports input image folder and url reference demo/demo_image.py (参考 demo/demo_image.py 脚本 为 demo/featmap_vis_demo.py 支持文件夹和 url 输入) [Feature] featmap_vis_demo supports input image folder and url reference #248
  • Support the use of existing models to export label files in labelme format (支持使用已有模型导出 labelme 格式的标签文件) [Feature] Add flag for output labelme label file in image_demo #288
  • Refer to browse_dataset of mmcls to implement similar functionality in MMYOLO (参考 mmcls 的 browse_dataset 在 MMYOLO 中实现类似功能) [Improvement] browse_dataset.py #304
  • Support image_demo.py influence result formate to labelme label files(支持 image_demo.py 结果导出 labelme 格式的标签文件) [Feature] Add flag for output labelme label file in image_demo #288
  • Support labelme label to COCO (支持 labelme 标签转 COCO) [Feature] Add labelme2coco script #308
  • Support big COCO annotation file split into train + val + test or trainval + test annotation files (支持划分大的 COCO 标签文件为 train + val + test 或 trainval + test 标签文件) [Feature] Add split COCO dataset script #311
  • Added analysis script to automatically print registered modules in OpenMMLab (新增分析脚本自动打印 OpenMMLab 中已经注册的模块)
  • Compare the difference in inference speed between official YOLOv5 and YOLOv5 in MMYOLO under trt fp32 (对比官方 YOLOv5 和 MMYOLO 中 YOLOv5 在 trt fp32 下的推理速度差异)
  • Added accelerated video inference script (新增加速后的视频推理脚本)
  • Support ignore instance in YOLOv5(YOLOv5 支持 ignore instance 功能)
  • dataset or pipeline supports loading all datasets at once (dataset 或者 pipeline 支持一次性加载全部数据集)-实验性做法
• doc
  • Added overview documentation of Algorithm principles and implementation with YOLOv6 (新增 YOLOv6 原理和实现详解文档概览) [DOC] Add YOLOv6 description doc - overview #252
  • Added YOLOv5 P6 1280 large resolution model structure diagram and brief description (新增 YOLOv5 P6 1280 大分辨率模型结构图和简要描述) [Docs] Add graph of P6 model #273
  • Customized dataset training+deployment full process document (自定义数据集 训练+部署 全流程文档) [DOC] Add custom dataset guide #306
  • Add module description documentation and provide a list of all available plug-in modules (新增一个模块描述文档并提供所有可用插件模块列表) [Feature] Add attention module of CBAM #246
  • Added YOLOv5+ ResNet50 Self-supervised training with mmselfsup for weighted in How-to documents (How-to 新增 YOLOv5+ ResNet50 使用 mmselfsup 自监督训练的权重文档) [Docs] Add two examples of backbone replacement and update plugin.md in EN #291
  • Optimize and improve deployment-related documentation (优化和完善部署相关文档)
  • Added documentation of how to use mim to call mmdet or other mm series repo script (新增如何通过 mim 跨库调用其他 OpenMMLab 脚本的文档) [Docs] Add docs about how to use mim to run scripts across libraries #321

Collected features

• YOLO series supports input Any channel (YOLO 系列代码支持输入任意通道)
• Adaptive batchsize function(支持自动 bs 计算功能) 自适应batchsize的功能 (Adaptive batchsize function) #141
• Adaptive to anchor calculation(支持训练前自动anchor 聚类优化) autoanchor in mmyolo #163

中文视频资源

汇总地址： https://github.com/open-mmlab/mmyolo/blob/dev/docs/zh_cn/article.md

工具类

	序号	内容	视频	课程中的代码/文档
✅	第1讲	特征图可视化		特征图可视化文档 特征图可视化.ipynb
✅	第2讲	基于 sahi 的大图推理		10分钟轻松掌握大图推理.ipynb

基础类

	序号	内容	视频	课程中的代码/文档
✅	第1讲	配置全解读		配置全解读文档
✅	第2讲	工程文件结构简析		工程文件结构简析文档
🟩	第x讲	模型是如何构建的 - cfg 模式和 Registry 机制详解
🟩	第x讲	MMEngine 必备知识点梳理

实用类

	序号	内容	视频	课程中的代码/文档
✅	第1讲	源码阅读和调试「必备」技巧		源码阅读和调试「必备」技巧文档
✅	第2讲	10分钟换遍主干网络		10分钟换遍主干网络文档 10分钟换遍主干网络.ipynb
✅	第3讲	自定义数据集从标注到部署保姆级教程		自定义数据集从标注到部署保姆级教程
✅	第4讲	顶会第一步 · 模块自定义		顶会第一步·模块自定义.ipynb
🟩	第x讲	关于 MMDet/MMYOLO 中可视化的一切
🟩	第x讲	关于组件随意组合那件事
🟩	第x讲	OpenMMLab 跨库调用全知道
🟩	第x讲	YOLOv5 自定义插件

源码解读类