nan
08309f719d
- Added a new cutout tool for selecting regions in images, allowing users to choose mesh shapes based on selected areas. - Introduced depth generation capabilities for rasterized images, including normal data extraction. - Created jobs for generating depth planes and region data, enhancing the AI data generation workflow. - Developed a selection refinement process for cutout regions, improving accuracy in generated outputs. - Established a new region module for handling rasterized image regions and their associated AI generation tasks. - Enhanced node graph builders for asset generation, facilitating smoother integration of new features.
1.5 KiB
1.5 KiB
Remove Background
本页对应 src/anyimage/operators/remove_background.py。该模块负责从 Image Empty 准备媒体输入、提交 BEN2 去背任务，并用结果 Image 替换当前图像；模型推理留在 Server 进程。
对应文件
src/anyimage/
├── operators/
│ ├── remove_background.py # Blender 入口、任务参数与结果替换
│ └── common/image_data.py # 媒体输入准备与结果 Image 创建
└── server/
├── jobs/remove_background.py # 单图与多帧任务编排
└── models/ben2.py # BEN2 前景适配
主流程
flowchart TD
Empty["Image Empty"] --> Prepare["准备图片、视频或序列输入"]
Prepare --> Operator["RunBackgroundRemoval"]
Operator --> Job["remove-background Job"]
Job --> Frames["生成 PNG 结果序列"]
Frames --> Import["创建结果 Image"]
Import --> Replace["替换 Empty.data"]
Packed 图片或内存中修改过的单图会先导出为临时输入；文件图片、视频和序列则沿用可读取的源路径。多帧输入由统一媒体层展开，结果保持连续帧命名，导入后继续沿用源 Image User 的帧起点、偏移与循环设置。
BEN2 推理前使用输入 Alpha 屏蔽透明区域，模型输出的前景 Alpha 再与源 Alpha 合成，RGB 保持为源图内容。响应阶段通过公共 Image Empty 替换入口导入结果；当旧 Image 没有其他用户和 Fake User 时，旧数据块会被清理并由结果继承名称。