ae7868d410
* feat: Add Bioxel asset catalog and layer management functionality - Introduced a new asset catalog definition file for Blender to manage Bioxel assets. - Implemented layer caching and snapshot functionality in `layer.py`, allowing for VDB file generation and low-resolution snapshots. - Created node management functions in `node.py` for handling Bioxel nodes within Blender's Geometry Node Editor. - Added an operator to extract mesh data from selected nodes in `structure.py`. - Developed UI panels in `panels.py` for layer management, including import options and layer library display. * Add unit tests for bioxel module and documentation - Created README.md for test instructions and categories. - Implemented comprehensive unit tests for the Data, Layer, and utility functions in the bioxel module. - Added tests for reading NRRD and DICOM formats, data properties, and edge cases. - Included tests for real data files to ensure functionality with actual datasets. * feat: Update .gitattributes and .gitignore for improved asset management and ignore patterns chore: Add app.json and omoolab.css for Obsidian integration refactor: Clean up AGENTS.md and remove outdated test files * feat: Update .gitignore to include scipy_ndimage directory * feat: Update release workflow and manifest for improved dependency management and layer handling * feat: Update .gitignore and add binary files for scipy_ndimage across multiple platforms * feat: Add OPSX commands for archiving, exploring, and proposing changes * feat: Refactor asset library management and update manifest for improved organization * feat: Downgrade h5py version to 3.14.0 in requirements and manifest * feat: Update Help operator and panel labels to use English terminology * Translate documentation to Chinese, add support format details, and enhance styling with new fonts. Update mkdocs configuration for multilingual support and improve package dependencies. * feat: Remove default version setting from extra configuration in mkdocs.yml * fix: Update documentation links to point to the correct URLs for Chinese and English versions * Add documentation for basic usage, supported formats, and performance tips - Created English and Chinese documentation for basic usage of the add-on, including data download, import, extraction, and rendering steps. - Added support format documentation listing compatible file types for the add-on. - Included links to open databases for volumetric data. - Provided performance improvement tips for voxel reconstruction and rendering, including settings for low-resolution previews and balanced rendering configurations.
39 lines
2.7 KiB
Markdown
39 lines
2.7 KiB
Markdown
# 支持的格式
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迫不及待想使用自己的数据来体验插件了？以下是当前支持的格式列表。
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| 格式 | 扩展名 |
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| ------ | ---------------------------------------- |
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| DICOM | .dcm, .DCM, .DICOM, .ima, .IMA |
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| BMP | .bmp, .BMP |
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| JPEG | .jpg, .JPG, .jpeg, .JPEG |
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| PNG | .png, .PNG |
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| TIFF | .tif, .TIF, .tiff, .TIFF |
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| Nifti | .nia, .nii, .nii.gz, .hdr, .img, .img.gz |
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| Nrrd | .nrrd, .nhdr |
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| HDF5 | .hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5 |
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| OME | .ome.tiff, .ome.tif |
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| MRC | .mrc, .mrc.gz, .map, .map.gz |
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尽管我尽了最大努力，仍然无法实现对所有体数据格式的完美支持，我将持续努力改进。
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## 公开数据库
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如果您没有体数据，可以从一些公开数据库下载。
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**请注意，虽然它们是公开的且可供下载，但并不意味着您可以将其用于任何目的！请务必查看网站上的可用范围说明。**
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| 来源 | 对象 |
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| ------------------------------------------------------------------------------------ | ------------------ |
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| [MorphoSource](https://www.morphosource.org/) | 开放研究数据 |
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| [Dryad](https://datadryad.org) | 开放研究数据 |
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| [Cell Image Library](http://cellimagelibrary.org/home) | 细胞 |
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| [OpenOrganelle](https://openorganelle.janelia.org/datasets) | 细胞 |
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| [Allen Cell Explorer](https://www.allencell.org/3d-cell-viewer.html) | 细胞 |
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| [EMDB](https://www.ebi.ac.uk/emdb/) | 蛋白质、病毒 |
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| [IDC](https://portal.imaging.datacommons.cancer.gov/explore/) | 医学图像 |
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| [Embodi3D](https://www.embodi3d.com/files/category/37-medical-scans/) | 医学图像 |
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| [Github](https://github.com/sfikas/medical-imaging-datasets) | 医学图像 |
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| [NIHR](https://nhsx.github.io/open-source-imaging-data-sets/) | 医学图像 |
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| [Medical Segmentation Decathlon](http://medicaldecathlon.com/) | 医学图像 |
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| [Visible Human Project](https://www.nih.gov/research/visible/visible_human.html) | 医学图像 | |