44 Commits

Author SHA1 Message Date
Ma Nan
7c71417e5d Merge pull request #41 from OmooLab/feature/dev
Feature/dev
2024-09-04 12:42:33 +08:00
655b19bc7c feat: improving the user experience 2024-09-03 17:53:26 +08:00
051df670a5 feat: boost render speed 2024-08-16 13:56:14 +08:00
9e885865f7 feat: layer list system 2024-08-14 14:16:40 +08:00
Ma Nan
21e0b85662 Merge pull request #38 from OmooLab/fix-import
fix: color ramp not fit
2024-08-07 09:50:54 +08:00
38fb888f00 fix: color ramp not fit
fix: skip DICOM series option not reset.
fix: combine label only combine 2 layers
2024-08-07 09:42:25 +08:00
Ma Nan
2429eef5e0 Merge pull request #36 from OmooLab/feature/dev
Feature/dev
2024-08-05 15:54:19 +08:00
2563f398da chore: update version 2024-08-05 15:53:03 +08:00
0cad35e2da fix: fail to read all sequence in folder with same name prefix 2024-08-05 14:13:48 +08:00
65edf40164 feat: better drag and drop 2024-08-05 13:48:24 +08:00
c3f88b7846 fix: layer cache cannot be saved via save stage data 2024-08-05 11:27:50 +08:00
Ma Nan
088d9c1edb Merge pull request #35 from OmooLab/feature/dev
fix: macos-arm64 cannot install
2024-08-02 11:35:18 +08:00
a6ec769a9b fix: macos-arm64 cannot install
fix: better layer fill smooth filter
2024-08-02 11:34:35 +08:00
Ma Nan
7430fbf3ef Merge pull request #34 from OmooLab/feature/dev
BREAKING CHANGE: not support 4.1 any more
2024-08-01 15:51:48 +08:00
ce397b35aa feat: more time sequence choice
fix: contrast formulation cause leak of high value
fix: empty series_id cause fail to read
chore: restructure folder
chore!: change layer vars
BREAKING CHANGE: not support 4.1 any more
2024-08-01 15:50:41 +08:00
Ma Nan
caf184c327 Merge pull request #33 from OmooLab/feature/dev
chore: update version
2024-07-23 12:32:06 +08:00
488b05f062 chore: update version 2024-07-23 12:31:33 +08:00
Ma Nan
2447a47269 Merge pull request #32 from OmooLab/feature/dev
docs: update discord link
2024-07-23 12:29:36 +08:00
9380342b4f docs: update discord link 2024-07-23 12:27:52 +08:00
Ma Nan
9b36e9d911 Merge pull request #31 from OmooLab/feature/dev
Feature/dev
2024-07-23 12:05:18 +08:00
c9a961d5e8 fix some import issue 2024-07-23 12:04:30 +08:00
77878888ca fix: missing add .ima to DICOM_EXTS 2024-07-22 09:56:20 +08:00
Ma Nan
50e8564027 Merge pull request #30 from OmooLab/feature/dev
docs: update README
2024-07-22 09:06:50 +08:00
f07ac1c70c docs: update README 2024-07-22 09:05:52 +08:00
Ma Nan
b6e7ae0c8b Merge pull request #29 from OmooLab/feature/dev
feat: support more format
2024-07-22 08:51:59 +08:00
854af4c3bc feat: support more format
feat: support .mrc .map
feat: support .ome.tif
feat: improved user experience for importing
feat: better contrast algorithm
2024-07-22 08:51:12 +08:00
Ma Nan
0eaba42f27 Merge pull request #28 from OmooLab/feature/dev
feat: support 4d time data
2024-07-15 14:26:54 +08:00
b2791e3aae fix: eevee specular too high
feat: add pie cutter
feat: support 4d time data
chora: change operators name
docs: update README.md
2024-07-15 14:25:51 +08:00
Ma Nan
2eb2358589 Merge pull request #27 from OmooLab/feature/dev
feat: add primitive cutter
2024-07-10 12:45:43 +08:00
8b862b3fe0 feat: add primitive cutter
fix: eevee shadow
fix: save node toggle not work
fix: color over 1.0 fail to render
2024-07-10 12:45:04 +08:00
Ma Nan
5922269f7e Merge pull request #26 from OmooLab/feature/dev
feat: dramatic reduction in rendering time 🚀
2024-07-09 15:22:20 +08:00
99ce5c28d0 feat: dramatic reduction in rendering time 🚀
feat: add more support to  eevee render
fix: fail to add utils node inflate
fix: file import button missing
chore: change operator names
BREAKING CHANGE: remove support to blender 4.0
BREAKING CHANGE: remove support to gpu render with cuda
2024-07-09 15:20:26 +08:00
Ma Nan
637fc758a7 Merge pull request #25 from OmooLab/feature/dev
chore: change version
2024-07-04 15:06:10 +08:00
f90bf5c532 chore: change version 2024-07-04 15:05:22 +08:00
Ma Nan
f2d1d02c48 Merge pull request #24 from OmooLab/feature/dev
fix: misspell of "scalar"
2024-07-04 15:03:58 +08:00
d04f100dfd fix: misspell of "scalar"
fix: not change raw value of data
2024-07-04 15:02:17 +08:00
Ma Nan
734c4d1cd9 Merge pull request #23 from OmooLab/feature/dev
fix: fail to import membrane shader
2024-07-04 13:50:11 +08:00
78aba5394f fix: fail to import membrane shader 2024-07-04 13:49:18 +08:00
Ma Nan
4fc89beaa0 Merge pull request #22 from OmooLab/feature/dev
fix: fail to import nd_image
2024-07-04 13:43:17 +08:00
fb2a3c9c23 fix: fail to import nd_image
fix: membrane shader
2024-07-04 13:41:52 +08:00
Ma Nan
bc6f88996c Merge pull request #21 from OmooLab/feature/dev
feat: rewrite resize
2024-07-04 13:06:24 +08:00
1db63dd3db feat: rewrite resize
add more nodes
2024-07-04 13:05:46 +08:00
Ma Nan
467d368a76 Merge pull request #19 from OmooLab/feature/dev
feat: support eevee
2024-06-12 15:24:06 +08:00
134d8e382b feat: support eevee 2024-06-12 15:23:09 +08:00
97 changed files with 8920 additions and 3826 deletions

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@@ -50,50 +50,26 @@ jobs:
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
upload_blender_addon:
name: Upload Blender Add-on
build_blender_add-on:
name: Build Blender Extension
needs: draft_release
runs-on: ubuntu-latest
strategy:
matrix:
platform: ["windows-x64", "linux-x64", "macos-arm64", "macos-x64"]
steps:
- name: Checkout Code
uses: actions/checkout@v4
with:
lfs: 'true'
- name: Zip Add-on
run: |
zip -r package.zip bioxelnodes
- name: Upload Release Asset
id: upload-release-asset
uses: actions/upload-release-asset@v1
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
upload_url: ${{ needs.draft_release.outputs.upload_url }} # This pulls from the CREATE RELEASE step above, referencing it's ID to get its outputs object, which include a `upload_url`. See this blog post for more info: https://jasonet.co/posts/new-features-of-github-actions/#passing-data-to-future-steps
asset_path: ./package.zip
asset_name: BioxelNodes_Addon_${{ needs.draft_release.outputs.version }}.zip
asset_content_type: application/zip
upload_blender_extension:
name: Upload Blender Extension
needs: draft_release
runs-on: ubuntu-latest
steps:
- name: Checkout Code
uses: actions/checkout@v4
with:
lfs: 'true'
lfs: "true"
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: 3.11
- name: Zip Extension
- name: Build Add-on
run: |
pip download SimpleITK --dest bioxelnodes/wheels --only-binary=:all: --python-version=3.11 --platform=macosx_11_0_arm64
pip download SimpleITK --dest bioxelnodes/wheels --only-binary=:all: --python-version=3.11 --platform=win_amd64
rm -r bioxelnodes/externalpackage
cp extension/__init__.py bioxelnodes/__init__.py
cp extension/preferences.py bioxelnodes/preferences.py
cp extension/blender_manifest.toml bioxelnodes/blender_manifest.toml
pip install tomlkit
python build.py ${{ matrix.platform }}
zip -r package.zip bioxelnodes
- name: Upload Release Asset
id: upload-release-asset
@@ -103,5 +79,5 @@ jobs:
with:
upload_url: ${{ needs.draft_release.outputs.upload_url }} # This pulls from the CREATE RELEASE step above, referencing it's ID to get its outputs object, which include a `upload_url`. See this blog post for more info: https://jasonet.co/posts/new-features-of-github-actions/#passing-data-to-future-steps
asset_path: ./package.zip
asset_name: BioxelNodes_Extension_${{ needs.draft_release.outputs.version }}.zip
asset_name: BioxelNodes_${{ needs.draft_release.outputs.version }}_${{ matrix.platform }}.zip
asset_content_type: application/zip

6
.gitignore vendored
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@@ -131,4 +131,8 @@ blendcache_*
*.ipynb
.secrets
.secrets
.vdb
!scipy_ndimage/*/**

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@@ -2,57 +2,75 @@
# Bioxel Nodes
![Static Badge](https://img.shields.io/badge/Blender-orange?style=for-the-badge&logo=blender&logoColor=white)
![GitHub License](https://img.shields.io/github/license/OmooLab/BioxelNodes?style=for-the-badge)
![GitHub Release](https://img.shields.io/github/v/release/OmooLab/BioxelNodes?style=for-the-badge)
![GitHub Repo stars](https://img.shields.io/github/stars/OmooLab/BioxelNodes?style=for-the-badge)
[![For Blender](https://img.shields.io/badge/Blender-orange?style=for-the-badge&logo=blender&logoColor=white&color=black)](https://blender.org/)
![GitHub License](https://img.shields.io/github/license/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
![GitHub Release](https://img.shields.io/github/v/release/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
![GitHub Repo stars](https://img.shields.io/github/stars/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
Bioxel Nodes is a Blender add-on for scientific volumetric data visualization. It using Blender's powerful Geometry Nodes | Cycles to process and render volumetric data.
[![Discord](https://img.shields.io/discord/1265129134397587457?style=for-the-badge&logo=discord&label=Discord&labelColor=white&color=black)](https://discord.gg/pYkNyq2TjE)
## About
Bioxel Nodes is a Blender addon for scientific volumetric data visualization. It using Blender's powerful **Geometry Nodes** and **Cycles** to process and render volumetric data.
Before us, there have been many tutorials and add-ons for importing volumetric data into Blender. However, we found that there were many details that were not addressed in place, some scientific facts were ignored, and the volume rendering was not pretty enough. With Bioxel Nodes, you can easily import the volumetric data into Blender, and more importantly, it can quickly make a beautiful realistic rendering of it.
![cover](https://omoolab.github.io/BioxelNodes/latest/assets/cover.png)
Below are some examples with Bioxel Nodes. Thanks to Cycles Render, the volumetric data can be rendered with great detail:
- Realistic rendering result, also support EEVEE NEXT.
- Support multiple formats.
- Support 4D volumetric data.
- All kinds of cutters.
- Simple and powerful nodes.
- Based on blender natively, can work without addon.
![cover](docs/assets/cover.png)
**Read the [getting started](https://omoolab.github.io/BioxelNodes/latest/installation) to begin your journey into visualizing volumetric data!**
The "Bioxel" in "Bioxel Nodes", is a combination of the words "Bio-" and "Voxel". Bioxel is a voxel that stores biological data. We are developing a toolkit around Bioxel for better biological data visualization. but before its release, we made this Blender version of bioxels toolkit first, in order to let more people to have fun with volumetric data. [Getting Started](https://omoolab.github.io/BioxelNodes/latest/getting-started)
Welcome to our [discord server](https://discord.gg/pYkNyq2TjE), if you have any problems with this add-on.
## Supported Format
## Support Multiple Formats
| Format | EXT | Test |
| ------ | ---------------------------------------- | ------- |
| DICOM | .dcm, .DICOM | ✅ pass |
| DICOM | .dcm, .DCM, .DICOM, .ima, .IMA | ✅ pass |
| BMP | .bmp, .BMP | ✅ pass |
| JPEG | .jpg, .JPG, .jpeg, .JPEG | ✅ pass |
| PNG | .png, .PNG | ✅ pass |
| TIFF | .tif, .TIF, .tiff, .TIFF | ✅ pass |
| Nifti | .nia, .nii, .nii.gz, .hdr, .img, .img.gz | ✅ pass |
| Nrrd | .nrrd, .nhdr | ✅ pass |
| Meta | .mha, .mhd | yet |
| HDF5 | .hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5 | ✅ pass |
| VTK | .vtk | yet |
| BioRad | .PIC, .pic | yet |
| Gipl | .gipl, .gipl.gz | yet |
| LSM | .lsm, .LSM | yet |
| MINC | .mnc, .MNC | yet |
| MRC | .mrc, .rec | yet |
| OME | .ome.tiff, .ome.tif | ✅ pass |
| MRC | .mrc, .mrc.gz, .map, .map.gz | ✅ pass |
## Support 4D volumetric data
![4d](https://omoolab.github.io/BioxelNodes/latest/assets/4d-time.gif)
🥰 4D volumetric data can also be imported into Blender.
## Support EEVEE NEXT
![eevee](https://omoolab.github.io/BioxelNodes/latest/assets/eevee.gif)
👍 EEVEE NEXT is absolutely AWESOME! Bioxel Nodes is fully support EEVEE NEXT now! However, there are some limitations:
1. Only one cutter supported.
2. EEVEE result is not that great as Cycles does.
## Known Limitations
- Sections cannot be generated (will be supported soon)
- Time sequence volume not supported (will be supported soon)
- Only works with Cycles CPU , Cycles GPU (OptiX), EEVEE
- Section surface cannot be generated when convert to mesh (will be supported soon)
## To Upgrade Add-on
## Compatible to Newer Version
To upgrade from an older version of the add-on to the latest, you need to do the following:
**v0.3.x is not compatible to v0.2.x, Updating this addon may break old files. Read the following carefully before upgradation**
1. Remove the old version of Bioxel Nodes at Preferences > Add-ons
2. Add the new version and restart Blender.
Before upgradation, you need to ask yourself whether this project file will be modified again or not, if it's an archived project file, I would recommend that you run **Bioxel Nodes > Save Staged Data** to make the addon nodes permanent. In this way, there will be no potential problem with the nodes not functioning due to the addon update.
It is not support editing the same blender file across add-on versions. In order to make sure that the previous file works properly. You need to save the staged data before upgrading ( read the last section of [Getting Started](https://omoolab.github.io/BioxelNodes/latest/getting-started/#share-your-file) ).
After the addon update, your old project files may not work either, this may be because you had executed **Save Staged Data**. If so, you need to execute **Bioxel Nodes > Relink Nodes to Addon** to relink them to make sure that the addon's new functionality and the addon nodes are synchronized.
But even then, there is still no guarantee that the new version of the add-on will work on the old blender file. Therefore, it is highly recommended to open a new blender file to start the creating, not based on the old one.
Also, the older shaders are not based on OSL, so if you find that you can't render volumes, you need to turn on **Open Shading Language (OSL)** in the Render Settings.
Alternatively, objects from the old file that have nothing to do with Bioxel Nodes could be append to the new blender file.
## Roadmap
- Better multi-format import experience
- One-click bake model with texture
- AI Segmentation to Generate Labels

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@@ -1,33 +1,26 @@
import bpy
from .props import BIOXELNODES_LayerListUL
from . import auto_load
from . import menus
bl_info = {
"name": "Bioxel Nodes",
"author": "Ma Nan",
"description": "",
"blender": (4, 0, 0),
"version": (0, 2, 0),
"location": "File -> Import",
"warning": "",
"category": "Node"
}
auto_load.init()
def register():
auto_load.register()
bpy.types.WindowManager.bioxelnodes_progress_factor = bpy.props.FloatProperty(
default=1.0)
bpy.types.WindowManager.bioxelnodes_progress_text = bpy.props.StringProperty()
bpy.types.WindowManager.bioxelnodes_layer_list_UL = bpy.props.PointerProperty(
type=BIOXELNODES_LayerListUL)
menus.add()
bpy.types.Scene.bioxel_layer_dir = bpy.props.StringProperty(
name="Bioxel Layers Directory",
subtype='DIR_PATH',
default="//"
)
def unregister():
menus.remove()
del bpy.types.WindowManager.bioxelnodes_progress_factor
del bpy.types.WindowManager.bioxelnodes_progress_text
del bpy.types.WindowManager.bioxelnodes_layer_list_UL
auto_load.unregister()

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@@ -0,0 +1,9 @@
from .layer import Layer
class Container():
def __init__(self,
name,
layers: list[Layer] = []) -> None:
self.name = name
self.layers = layers

43
bioxelnodes/bioxel/io.py Normal file
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@@ -0,0 +1,43 @@
from pathlib import Path
import uuid
# 3rd-party
import h5py
from .container import Container
from .layer import Layer
def load_container(load_file: str):
load_path = Path(load_file).resolve()
with h5py.File(load_path, 'r') as file:
layers = []
for key, layer_dset in file['layers'].items():
layers.append(Layer(data=layer_dset[:],
name=layer_dset.attrs['name'],
kind=layer_dset.attrs['kind'],
affine=layer_dset.attrs['affine']))
container = Container(name=file.attrs['name'],
layers=layers)
return container
def save_container(container: Container, save_file: str, overwrite=False):
save_path = Path(save_file).resolve()
if overwrite:
if save_path.is_file():
save_path.unlink()
with h5py.File(save_path, "w") as file:
file.attrs['name'] = container.name
layer_group = file.create_group("layers")
for layer in container.layers:
layer_key = uuid.uuid4().hex[:8]
layer_dset = layer_group.create_dataset(name=layer_key,
data=layer.data)
layer_dset.attrs['name'] = layer.name
layer_dset.attrs['kind'] = layer.kind
layer_dset.attrs['affine'] = layer.affine

156
bioxelnodes/bioxel/layer.py Normal file
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@@ -0,0 +1,156 @@
import copy
import numpy as np
from . import scipy
from . import scipy as ndi
# 3rd-party
import transforms3d
# TODO: turn to dataclasses
class Layer():
def __init__(self,
data: np.ndarray,
name: str,
kind="scalar",
affine=np.identity(4)) -> None:
if data.ndim != 5:
raise Exception("Data shape order should be TXYZC")
affine = np.array(affine)
if affine.shape != (4, 4):
raise Exception("affine shape should be (4,4)")
self.data = data
self.name = name
self.kind = kind
self.affine = affine
@property
def bioxel_size(self):
t, r, z, s = transforms3d.affines.decompose44(self.affine)
return z.tolist()
@property
def shape(self):
return self.data.shape[1:4]
@property
def dtype(self):
return self.data.dtype
@property
def origin(self):
t, r, z, s = transforms3d.affines.decompose44(self.affine)
return t.tolist()
@property
def euler(self):
t, r, z, s = transforms3d.affines.decompose44(self.affine)
return list(transforms3d.euler.mat2euler(r))
@property
def min(self):
return float(np.min(self.data))
@property
def frame_count(self):
return self.data.shape[0]
@property
def channel_count(self):
return self.data.shape[-1]
@property
def max(self):
return float(np.max(self.data))
def copy(self):
return copy.deepcopy(self)
def fill(self, value: float, mask: np.ndarray, smooth: int = 0):
mask_frames = ()
if mask.ndim == 4:
if mask.shape[0] != self.frame_count:
raise Exception("Mask frame count is not same as ")
for f in range(self.frame_count):
mask_frame = mask[f, :, :, :]
if smooth > 0:
mask_frame = scipy.minimum_filter(mask_frame.astype(np.float32),
mode="nearest",
size=smooth)
# mask_frame = scipy.median_filter(
# mask_frame.astype(np.float32), size=2)
mask_frames += (mask_frame,)
elif mask.ndim == 3:
for f in range(self.frame_count):
mask_frame = mask[:, :, :]
if smooth > 0:
mask_frame = scipy.minimum_filter(mask_frame.astype(np.float32),
mode="nearest",
size=smooth)
# mask_frame = scipy.median_filter(
# mask_frame.astype(np.float32), size=2)
mask_frames += (mask_frame,)
else:
raise Exception("Mask shape order should be TXYZ or XYZ")
_mask = np.stack(mask_frames)
_mask = np.expand_dims(_mask, axis=-1)
self.data = _mask * value + (1-_mask) * self.data
def resize(self, shape: tuple, smooth: int = 0, progress_callback=None):
if len(shape) != 3:
raise Exception("Shape must be 3 dim")
data = self.data
# # TXYZC > TXYZ
# if self.kind in ['label', 'scalar']:
# data = np.amax(data, -1)
# if self.kind in ['scalar']:
# dtype = data.dtype
# data = data.astype(np.float32)
data_frames = ()
for f in range(self.frame_count):
if progress_callback:
progress_callback(f, self.frame_count)
# frame = ski.resize(data[f, :, :, :],
# shape,
# preserve_range=True,
# anti_aliasing=data.dtype.kind != "b")
frame = data[f, :, :, :, :]
if smooth > 0:
frame = scipy.median_filter(frame.astype(np.float32),
mode="nearest",
size=smooth)
factors = np.divide(self.shape, shape)
zoom_factors = [1 / f for f in factors]
order = 0 if frame.dtype == bool else 1
frame = ndi.zoom(frame,
zoom_factors+[1.0],
mode="nearest",
grid_mode=False,
order=order)
if smooth > 0:
frame = frame.astype(self.dtype)
data_frames += (frame,)
data = np.stack(data_frames)
# if self.kind in ['scalar']:
# data = data.astype(dtype)
# TXYZ > TXYZC
# if self.kind in ['label', 'scalar']:
# data = np.expand_dims(data, axis=-1) # expend channel
self.data = data
mat_scale = transforms3d.zooms.zfdir2aff(factors[0])
self.affine = np.dot(self.affine, mat_scale)

434
bioxelnodes/bioxel/parse.py Normal file
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@@ -0,0 +1,434 @@
from pathlib import Path
import numpy as np
# 3rd-party
import SimpleITK as sitk
from pyometiff import OMETIFFReader
import mrcfile
import transforms3d
"""
Convert any volumetric data to 3D numpy array with order TXYZC
"""
SUPPORT_EXTS = ['', '.dcm', '.DCM', '.DICOM', '.ima', '.IMA',
'.ome.tiff', '.ome.tif',
'.tif', '.TIF', '.tiff', '.TIFF',
'.mrc', '.mrc.gz', '.map', '.map.gz',
'.bmp', '.BMP',
'.png', '.PNG',
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.PIC', '.pic',
'.gipl', '.gipl.gz',
'.lsm', '.LSM',
'.mnc', '.MNC',
'.mrc', '.rec',
'.mha', '.mhd',
'.hdf', '.h4', '.hdf4', '.he2', '.h5', '.hdf5', '.he5',
'.nia', '.nii', '.nii.gz', '.hdr', '.img', '.img.gz',
'.nrrd', '.nhdr',
'.vtk',
'.gz']
OME_EXTS = ['.ome.tiff', '.ome.tif',
'.tif', '.TIF', '.tiff', '.TIFF']
MRC_EXTS = ['.mrc', '.mrc.gz', '.map', '.map.gz']
DICOM_EXTS = ['', '.dcm', '.DCM', '.DICOM', '.ima', '.IMA']
SEQUENCE_EXTS = ['.bmp', '.BMP',
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.tif', '.TIF', '.tiff', '.TIFF',
'.png', '.PNG',
'.mrc']
def get_ext(filepath: Path) -> str:
if filepath.name.endswith(".nii.gz"):
return ".nii.gz"
elif filepath.name.endswith(".img.gz"):
return ".img.gz"
elif filepath.name.endswith(".gipl.gz"):
return ".gipl.gz"
elif filepath.name.endswith(".ome.tiff"):
return ".ome.tiff"
elif filepath.name.endswith(".ome.tif"):
return ".ome.tif"
elif filepath.name.endswith(".mrc.gz"):
return ".mrc.gz"
elif filepath.name.endswith(".map.gz"):
return ".map.gz"
else:
return filepath.suffix
def get_filename(filepath: Path):
ext = get_ext(filepath)
return filepath.name.removesuffix(ext)
def get_filename_parts(filepath: Path) -> str:
def has_digits(s):
return any(char.isdigit() for char in s)
name = get_filename(filepath)
parts = name.replace(".", " ").replace("_", " ").split(" ")
skip_prefixs = ["CH", "ch", "channel"]
number_part = None
number_part_i = None
for i, part in enumerate(parts[::-1]):
if has_digits(part):
if not any([part.startswith(prefix) for prefix in skip_prefixs]):
number_part = part
number_part_i = len(parts)-i
break
if number_part is None:
return name, "", ""
prefix_parts = parts[:number_part_i-1]
prefix_parts_count = sum([len(part)+1 for part in prefix_parts])
digits = ""
suffix = ""
# Iterate through the characters in reverse order
started = False
for char in number_part[::-1]:
if char.isdigit():
started = True
# If the character is a digit, add it to the digits string
digits += char
else:
if started:
# If a non-digit character is encountered, stop the loop
break
else:
suffix += char
digits = digits[::-1]
prefix_parts_count += len(number_part) - \
len(digits) - len(suffix)
# Reverse the digits string to get the correct order
prefix = name[:prefix_parts_count]
suffix = name[prefix_parts_count+len(digits):]
return prefix, digits, suffix
def get_file_no_digits_name(filepath: Path) -> str:
prefix, digits, suffix = get_filename_parts(filepath)
prefix = remove_end_str(prefix, "_")
prefix = remove_end_str(prefix, ".")
prefix = remove_end_str(prefix, "-")
prefix = remove_end_str(prefix, " ")
return prefix + suffix
def get_file_index(filepath: Path) -> int:
prefix, digits, suffix = get_filename_parts(filepath)
return int(digits) if digits != "" else 0
def collect_sequence(filepath: Path):
file_dict = {}
for f in filepath.parent.iterdir():
if f.is_file() \
and get_ext(filepath) == get_ext(f) \
and get_file_no_digits_name(filepath) == get_file_no_digits_name(f):
index = get_file_index(f)
file_dict[index] = f
# reomve isolated seq file
for key in file_dict.copy().keys():
if not file_dict.get(key+1) \
and not file_dict.get(key-1):
del file_dict[key]
file_dict = dict(sorted(file_dict.items()))
sequence = [str(f) for f in file_dict.values()]
if len(sequence) == 0:
sequence = [str(filepath)]
return sequence
def remove_end_str(string: str, end: str):
while string.endswith(end) and len(string) > 0:
string = string.removesuffix(end)
return string
def parse_volumetric_data(data_file: str, series_id="", progress_callback=None):
"""Parse any volumetric data to numpy with shap (T,X,Y,Z,C)
Args:
data_file (str): file path
series_id (str, optional): DICOM series id. Defaults to "".
Returns:
_type_: _description_
"""
data_path = Path(data_file).resolve()
ext = get_ext(data_path)
if progress_callback:
progress_callback(0.0, "Reading the Data...")
is_sequence = False
if ext in SEQUENCE_EXTS:
sequence = collect_sequence(data_path)
if len(sequence) > 1:
is_sequence = True
data = None
name = "",
description = ""
affine = np.identity(4)
spacing = (1, 1, 1)
origin = (0, 0, 0)
direction = (1, 0, 0, 0, 1, 0, 0, 0, 1)
# Parsing with mrcfile
if data is None and ext in MRC_EXTS and not is_sequence:
print("Parsing with mrcfile...")
# TODO: much to do with mrc
with mrcfile.open(data_path, 'r') as mrc:
data = mrc.data
# mrc.print_header()
# print(data.shape)
# print(mrc.voxel_size)
if mrc.is_single_image():
data = np.expand_dims(data, axis=0) # expend frame
data = np.expand_dims(data, axis=-1) # expend Z
data = np.expand_dims(data, axis=-1) # expend channel
elif mrc.is_image_stack():
data = np.expand_dims(data, axis=-1) # expend Z
data = np.expand_dims(data, axis=-1) # expend channel
elif mrc.is_volume():
data = np.expand_dims(data, axis=0) # expend frame
data = np.expand_dims(data, axis=-1) # expend channel
elif mrc.is_volume_stack():
data = np.expand_dims(data, axis=-1) # expend channel
name = get_file_no_digits_name(data_path)
spacing = (mrc.voxel_size.x,
mrc.voxel_size.y,
mrc.voxel_size.z)
# Parsing with OMETIFFReader
if data is None and ext in OME_EXTS and not is_sequence:
print("Parsing with OMETIFFReader...")
reader = OMETIFFReader(fpath=data_path)
ome_image, metadata, xml_metadata = reader.read()
# TODO: some old bio-format tiff the header is not the same.
if progress_callback:
progress_callback(0.5, "Transpose to 'TXYZC'...")
try:
# print(ome_image.shape)
# for key in metadata:
# print(f"{key},{metadata[key]}")
ome_order = metadata['DimOrder BF Array']
if ome_image.ndim == 2:
ome_order = ome_order.replace("T", "")\
.replace("C", "").replace("Z", "")
bioxel_order = (ome_order.index('X'),
ome_order.index('Y'))
data = np.transpose(ome_image, bioxel_order)
data = np.expand_dims(data, axis=0) # expend frame
data = np.expand_dims(data, axis=-1) # expend Z
data = np.expand_dims(data, axis=-1) # expend channel
elif ome_image.ndim == 3:
# -> XYZC
ome_order = ome_order.replace("T", "").replace("C", "")
bioxel_order = (ome_order.index('X'),
ome_order.index('Y'),
ome_order.index('Z'))
data = np.transpose(ome_image, bioxel_order)
data = np.expand_dims(data, axis=0) # expend frame
data = np.expand_dims(data, axis=-1) # expend channel
elif ome_image.ndim == 4:
# -> XYZC
ome_order = ome_order.replace("T", "")
bioxel_order = (ome_order.index('X'),
ome_order.index('Y'),
ome_order.index('Z'),
ome_order.index('C'))
data = np.transpose(ome_image, bioxel_order)
data = np.expand_dims(data, axis=0) # expend frame
elif ome_image.ndim == 5:
# -> TXYZC
bioxel_order = (ome_order.index('T'),
ome_order.index('X'),
ome_order.index('Y'),
ome_order.index('Z'),
ome_order.index('C'))
data = np.transpose(ome_image, bioxel_order)
try:
spacing = (metadata['PhysicalSizeX'],
metadata['PhysicalSizeY'],
metadata['PhysicalSizeZ'])
except:
...
name = get_file_no_digits_name(data_path)
except:
...
# Parsing with SimpleITK
if data is None:
print("Parsing with SimpleITK...")
if ext in DICOM_EXTS:
data_dirpath = data_path.parent
reader = sitk.ImageSeriesReader()
reader.MetaDataDictionaryArrayUpdateOn()
reader.LoadPrivateTagsOn()
series_files = reader.GetGDCMSeriesFileNames(
str(data_dirpath), series_id)
reader.SetFileNames(series_files)
itk_image = reader.Execute()
# for k in reader.GetMetaDataKeys(0):
# v = reader.GetMetaData(0, k)
# print(f'({k}) = = "{v}"')
def get_meta(key):
try:
stirng = reader.GetMetaData(0, key).removesuffix(" ")
if stirng in ["No study description",
"No series description",
""]:
return None
else:
return stirng
except:
return None
study_description = get_meta("0008|1030")
series_description = get_meta("0008|103e")
series_modality = get_meta("0008|0060")
name = study_description or data_dirpath.name
if series_description and series_modality:
description = f"{series_description}-{series_modality}"
elif series_description:
description = series_description
elif series_modality:
description = series_modality
else:
description = ""
name = name.replace(" ", "-")
description = description.replace(" ", "-")
elif ext in SEQUENCE_EXTS and is_sequence:
itk_image = sitk.ReadImage(sequence)
name = get_file_no_digits_name(data_path)
else:
itk_image = sitk.ReadImage(data_path)
name = get_filename(data_path)
# for key in itk_image.GetMetaDataKeys():
# print(f"{key},{itk_image.GetMetaData(key)}")
if progress_callback:
progress_callback(0.5, "Transpose to 'TXYZC'...")
if itk_image.GetDimension() == 2:
data = sitk.GetArrayFromImage(itk_image)
if data.ndim == 3:
data = np.transpose(data, (1, 0, 2))
data = np.expand_dims(data, axis=-2) # expend Z
else:
data = np.transpose(data)
data = np.expand_dims(data, axis=-1) # expend Z
data = np.expand_dims(data, axis=-1) # expend channel
data = np.expand_dims(data, axis=0) # expend frame
elif itk_image.GetDimension() == 3:
if ext not in SEQUENCE_EXTS:
itk_image = sitk.DICOMOrient(itk_image, 'RAS')
# After sitk.DICOMOrient(), origin and direction will also orient base on LPS
# so we need to convert them into RAS
# affine = axis_conversion(from_forward='-Z',
# from_up='-Y',
# to_forward='-Z',
# to_up='Y').to_4x4()
affine = np.array([[-1.0000, 0.0000, 0.0000, 0.0000],
[0.0000, -1.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 1.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 1.0000]])
spacing = tuple(itk_image.GetSpacing())
origin = tuple(itk_image.GetOrigin())
direction = tuple(itk_image.GetDirection())
data = sitk.GetArrayFromImage(itk_image)
# transpose ijk to kji
if data.ndim == 4:
data = np.transpose(data, (2, 1, 0, 3))
else:
data = np.transpose(data)
data = np.expand_dims(data, axis=-1) # expend channel
data = np.expand_dims(data, axis=0) # expend frame
elif itk_image.GetDimension() == 4:
spacing = tuple(itk_image.GetSpacing()[:3])
origin = tuple(itk_image.GetOrigin()[:3])
# FIXME: not sure...
direction = np.array(itk_image.GetDirection())
direction = direction.reshape(3, 3) if itk_image.GetDimension() == 3 \
else direction.reshape(4, 4)
direction = direction[1:, 1:]
direction = tuple(direction.flatten())
data = sitk.GetArrayFromImage(itk_image)
if data.ndim == 5:
data = np.transpose(data, (0, 3, 2, 1, 4))
else:
data = np.transpose(data, (0, 3, 2, 1))
data = np.expand_dims(data, axis=-1)
if itk_image.GetDimension() > 5:
raise Exception
t = origin
r = np.array(direction).reshape((3, 3))
affine = np.dot(affine,
transforms3d.affines.compose(t, r, [1, 1, 1]))
meta = {
"name": name,
"description": description,
"spacing": spacing,
"affine": affine,
"xyz_shape": data.shape[1:4],
"frame_count": data.shape[0],
"channel_count": data.shape[-1],
}
return data, meta

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from ._interpolation import zoom
from ._filters import (gaussian_filter,
median_filter,
maximum_filter,
minimum_filter)

File diff suppressed because it is too large Load Diff

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@@ -0,0 +1,313 @@
import numpy as np
import warnings
from . import _ni_support
from . import _nd_image
from ._utils import normalize_axis_index
def _prepad_for_spline_filter(input, mode, cval):
if mode in ['nearest', 'grid-constant']:
npad = 12
if mode == 'grid-constant':
padded = np.pad(input, npad, mode='constant',
constant_values=cval)
elif mode == 'nearest':
padded = np.pad(input, npad, mode='edge')
else:
# other modes have exact boundary conditions implemented so
# no prepadding is needed
npad = 0
padded = input
return padded, npad
def spline_filter1d(input, order=3, axis=-1, output=np.float64,
mode='mirror'):
"""
Calculate a 1-D spline filter along the given axis.
The lines of the array along the given axis are filtered by a
spline filter. The order of the spline must be >= 2 and <= 5.
Parameters
----------
%(input)s
order : int, optional
The order of the spline, default is 3.
axis : int, optional
The axis along which the spline filter is applied. Default is the last
axis.
output : ndarray or dtype, optional
The array in which to place the output, or the dtype of the returned
array. Default is ``numpy.float64``.
%(mode_interp_mirror)s
Returns
-------
spline_filter1d : ndarray
The filtered input.
See Also
--------
spline_filter : Multidimensional spline filter.
Notes
-----
All of the interpolation functions in `ndimage` do spline interpolation of
the input image. If using B-splines of `order > 1`, the input image
values have to be converted to B-spline coefficients first, which is
done by applying this 1-D filter sequentially along all
axes of the input. All functions that require B-spline coefficients
will automatically filter their inputs, a behavior controllable with
the `prefilter` keyword argument. For functions that accept a `mode`
parameter, the result will only be correct if it matches the `mode`
used when filtering.
For complex-valued `input`, this function processes the real and imaginary
components independently.
.. versionadded:: 1.6.0
Complex-valued support added.
Examples
--------
We can filter an image using 1-D spline along the given axis:
>>> from scipy.ndimage import spline_filter1d
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> orig_img = np.eye(20) # create an image
>>> orig_img[10, :] = 1.0
>>> sp_filter_axis_0 = spline_filter1d(orig_img, axis=0)
>>> sp_filter_axis_1 = spline_filter1d(orig_img, axis=1)
>>> f, ax = plt.subplots(1, 3, sharex=True)
>>> for ind, data in enumerate([[orig_img, "original image"],
... [sp_filter_axis_0, "spline filter (axis=0)"],
... [sp_filter_axis_1, "spline filter (axis=1)"]]):
... ax[ind].imshow(data[0], cmap='gray_r')
... ax[ind].set_title(data[1])
>>> plt.tight_layout()
>>> plt.show()
"""
if order < 0 or order > 5:
raise RuntimeError('spline order not supported')
input = np.asarray(input)
complex_output = np.iscomplexobj(input)
output = _ni_support._get_output(output, input,
complex_output=complex_output)
if complex_output:
spline_filter1d(input.real, order, axis, output.real, mode)
spline_filter1d(input.imag, order, axis, output.imag, mode)
return output
if order in [0, 1]:
output[...] = np.array(input)
else:
mode = _ni_support._extend_mode_to_code(mode)
axis = normalize_axis_index(axis, input.ndim)
_nd_image.spline_filter1d(input, order, axis, output, mode)
return output
def spline_filter(input, order=3, output=np.float64, mode='mirror'):
"""
Multidimensional spline filter.
Parameters
----------
%(input)s
order : int, optional
The order of the spline, default is 3.
output : ndarray or dtype, optional
The array in which to place the output, or the dtype of the returned
array. Default is ``numpy.float64``.
%(mode_interp_mirror)s
Returns
-------
spline_filter : ndarray
Filtered array. Has the same shape as `input`.
See Also
--------
spline_filter1d : Calculate a 1-D spline filter along the given axis.
Notes
-----
The multidimensional filter is implemented as a sequence of
1-D spline filters. The intermediate arrays are stored
in the same data type as the output. Therefore, for output types
with a limited precision, the results may be imprecise because
intermediate results may be stored with insufficient precision.
For complex-valued `input`, this function processes the real and imaginary
components independently.
.. versionadded:: 1.6.0
Complex-valued support added.
Examples
--------
We can filter an image using multidimentional splines:
>>> from scipy.ndimage import spline_filter
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> orig_img = np.eye(20) # create an image
>>> orig_img[10, :] = 1.0
>>> sp_filter = spline_filter(orig_img, order=3)
>>> f, ax = plt.subplots(1, 2, sharex=True)
>>> for ind, data in enumerate([[orig_img, "original image"],
... [sp_filter, "spline filter"]]):
... ax[ind].imshow(data[0], cmap='gray_r')
... ax[ind].set_title(data[1])
>>> plt.tight_layout()
>>> plt.show()
"""
if order < 2 or order > 5:
raise RuntimeError('spline order not supported')
input = np.asarray(input)
complex_output = np.iscomplexobj(input)
output = _ni_support._get_output(output, input,
complex_output=complex_output)
if complex_output:
spline_filter(input.real, order, output.real, mode)
spline_filter(input.imag, order, output.imag, mode)
return output
if order not in [0, 1] and input.ndim > 0:
for axis in range(input.ndim):
spline_filter1d(input, order, axis, output=output, mode=mode)
input = output
else:
output[...] = input[...]
return output
def zoom(input, zoom, output=None, order=3, mode='constant', cval=0.0,
prefilter=True, *, grid_mode=False):
"""
Zoom an array.
The array is zoomed using spline interpolation of the requested order.
Parameters
----------
%(input)s
zoom : float or sequence
The zoom factor along the axes. If a float, `zoom` is the same for each
axis. If a sequence, `zoom` should contain one value for each axis.
%(output)s
order : int, optional
The order of the spline interpolation, default is 3.
The order has to be in the range 0-5.
%(mode_interp_constant)s
%(cval)s
%(prefilter)s
grid_mode : bool, optional
If False, the distance from the pixel centers is zoomed. Otherwise, the
distance including the full pixel extent is used. For example, a 1d
signal of length 5 is considered to have length 4 when `grid_mode` is
False, but length 5 when `grid_mode` is True. See the following
visual illustration:
.. code-block:: text
| pixel 1 | pixel 2 | pixel 3 | pixel 4 | pixel 5 |
|<-------------------------------------->|
vs.
|<----------------------------------------------->|
The starting point of the arrow in the diagram above corresponds to
coordinate location 0 in each mode.
Returns
-------
zoom : ndarray
The zoomed input.
Notes
-----
For complex-valued `input`, this function zooms the real and imaginary
components independently.
.. versionadded:: 1.6.0
Complex-valued support added.
Examples
--------
>>> from scipy import ndimage, datasets
>>> import matplotlib.pyplot as plt
>>> fig = plt.figure()
>>> ax1 = fig.add_subplot(121) # left side
>>> ax2 = fig.add_subplot(122) # right side
>>> ascent = datasets.ascent()
>>> result = ndimage.zoom(ascent, 3.0)
>>> ax1.imshow(ascent, vmin=0, vmax=255)
>>> ax2.imshow(result, vmin=0, vmax=255)
>>> plt.show()
>>> print(ascent.shape)
(512, 512)
>>> print(result.shape)
(1536, 1536)
"""
if order < 0 or order > 5:
raise RuntimeError('spline order not supported')
input = np.asarray(input)
if input.ndim < 1:
raise RuntimeError('input and output rank must be > 0')
zoom = _ni_support._normalize_sequence(zoom, input.ndim)
output_shape = tuple(
[int(round(ii * jj)) for ii, jj in zip(input.shape, zoom)])
complex_output = np.iscomplexobj(input)
output = _ni_support._get_output(output, input, shape=output_shape,
complex_output=complex_output)
if complex_output:
# import under different name to avoid confusion with zoom parameter
from scipy.ndimage._interpolation import zoom as _zoom
kwargs = dict(order=order, mode=mode, prefilter=prefilter)
_zoom(input.real, zoom, output=output.real,
cval=np.real(cval), **kwargs)
_zoom(input.imag, zoom, output=output.imag,
cval=np.imag(cval), **kwargs)
return output
if prefilter and order > 1:
padded, npad = _prepad_for_spline_filter(input, mode, cval)
filtered = spline_filter(padded, order, output=np.float64, mode=mode)
else:
npad = 0
filtered = input
if grid_mode:
# warn about modes that may have surprising behavior
suggest_mode = None
if mode == 'constant':
suggest_mode = 'grid-constant'
elif mode == 'wrap':
suggest_mode = 'grid-wrap'
if suggest_mode is not None:
warnings.warn(
(f"It is recommended to use mode = {suggest_mode} instead of {mode} "
f"when grid_mode is True."),
stacklevel=2
)
mode = _ni_support._extend_mode_to_code(mode)
zoom_div = np.array(output_shape)
zoom_nominator = np.array(input.shape)
if not grid_mode:
zoom_div -= 1
zoom_nominator -= 1
# Zooming to infinite values is unpredictable, so just choose
# zoom factor 1 instead
zoom = np.divide(zoom_nominator, zoom_div,
out=np.ones_like(input.shape, dtype=np.float64),
where=zoom_div != 0)
zoom = np.ascontiguousarray(zoom)
_nd_image.zoom_shift(filtered, zoom, None, output, order, mode, cval, npad,
grid_mode)
return output

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@@ -0,0 +1,119 @@
# Copyright (C) 2003-2005 Peter J. Verveer
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials provided
# with the distribution.
#
# 3. The name of the author may not be used to endorse or promote
# products derived from this software without specific prior
# written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS
# OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
# GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from collections.abc import Iterable
import operator
import warnings
import numpy as np
def _extend_mode_to_code(mode):
"""Convert an extension mode to the corresponding integer code.
"""
if mode == 'nearest':
return 0
elif mode == 'wrap':
return 1
elif mode in ['reflect', 'grid-mirror']:
return 2
elif mode == 'mirror':
return 3
elif mode == 'constant':
return 4
elif mode == 'grid-wrap':
return 5
elif mode == 'grid-constant':
return 6
else:
raise RuntimeError('boundary mode not supported')
def _normalize_sequence(input, rank):
"""If input is a scalar, create a sequence of length equal to the
rank by duplicating the input. If input is a sequence,
check if its length is equal to the length of array.
"""
is_str = isinstance(input, str)
if not is_str and isinstance(input, Iterable):
normalized = list(input)
if len(normalized) != rank:
err = "sequence argument must have length equal to input rank"
raise RuntimeError(err)
else:
normalized = [input] * rank
return normalized
def _get_output(output, input, shape=None, complex_output=False):
if shape is None:
shape = input.shape
if output is None:
if not complex_output:
output = np.zeros(shape, dtype=input.dtype.name)
else:
complex_type = np.promote_types(input.dtype, np.complex64)
output = np.zeros(shape, dtype=complex_type)
elif isinstance(output, (type, np.dtype)):
# Classes (like `np.float32`) and dtypes are interpreted as dtype
if complex_output and np.dtype(output).kind != 'c':
warnings.warn("promoting specified output dtype to complex", stacklevel=3)
output = np.promote_types(output, np.complex64)
output = np.zeros(shape, dtype=output)
elif isinstance(output, str):
output = np.dtype(output)
if complex_output and output.kind != 'c':
raise RuntimeError("output must have complex dtype")
elif not issubclass(output.type, np.number):
raise RuntimeError("output must have numeric dtype")
output = np.zeros(shape, dtype=output)
elif output.shape != shape:
raise RuntimeError("output shape not correct")
elif complex_output and output.dtype.kind != 'c':
raise RuntimeError("output must have complex dtype")
return output
def _check_axes(axes, ndim):
if axes is None:
return tuple(range(ndim))
elif np.isscalar(axes):
axes = (operator.index(axes),)
elif isinstance(axes, Iterable):
for ax in axes:
axes = tuple(operator.index(ax) for ax in axes)
if ax < -ndim or ax > ndim - 1:
raise ValueError(f"specified axis: {ax} is out of range")
axes = tuple(ax % ndim if ax < 0 else ax for ax in axes)
else:
message = "axes must be an integer, iterable of integers, or None"
raise ValueError(message)
if len(tuple(set(axes))) != len(axes):
raise ValueError("axes must be unique")
return axes

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def normalize_axis_index(axis, ndim):
# Check if `axis` is in the correct range and normalize it
if axis < -ndim or axis >= ndim:
msg = f"axis {axis} is out of bounds for array of dimension {ndim}"
raise Exception(msg)
if axis < 0:
axis = axis + ndim
return axis

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from ._warps import resize

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import numpy as np
def convert_to_float(image, preserve_range):
"""Convert input image to float image with the appropriate range.
Parameters
----------
image : ndarray
Input image.
preserve_range : bool
Determines if the range of the image should be kept or transformed
using img_as_float. Also see
https://scikit-image.org/docs/dev/user_guide/data_types.html
Notes
-----
* Input images with `float32` data type are not upcast.
Returns
-------
image : ndarray
Transformed version of the input.
"""
if image.dtype == np.float16:
return image.astype(np.float32)
if preserve_range:
# Convert image to double only if it is not single or double
# precision float
if image.dtype.char not in 'df':
image = image.astype(float)
else:
from .dtype import img_as_float
image = img_as_float(image)
return image

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import warnings
import numpy as np
from .. import scipy as ndi
from ._utils import convert_to_float
def _clip_warp_output(input_image, output_image, mode, cval, clip):
"""Clip output image to range of values of input image.
Note that this function modifies the values of `output_image` in-place
and it is only modified if ``clip=True``.
Parameters
----------
input_image : ndarray
Input image.
output_image : ndarray
Output image, which is modified in-place.
Other parameters
----------------
mode : {'constant', 'edge', 'symmetric', 'reflect', 'wrap'}
Points outside the boundaries of the input are filled according
to the given mode. Modes match the behaviour of `numpy.pad`.
cval : float
Used in conjunction with mode 'constant', the value outside
the image boundaries.
clip : bool
Whether to clip the output to the range of values of the input image.
This is enabled by default, since higher order interpolation may
produce values outside the given input range.
"""
if clip:
min_val = np.min(input_image)
if np.isnan(min_val):
# NaNs detected, use NaN-safe min/max
min_func = np.nanmin
max_func = np.nanmax
min_val = min_func(input_image)
else:
min_func = np.min
max_func = np.max
max_val = max_func(input_image)
# Check if cval has been used such that it expands the effective input
# range
preserve_cval = (
mode == 'constant'
and not min_val <= cval <= max_val
and min_func(output_image) <= cval <= max_func(output_image)
)
# expand min/max range to account for cval
if preserve_cval:
# cast cval to the same dtype as the input image
cval = input_image.dtype.type(cval)
min_val = min(min_val, cval)
max_val = max(max_val, cval)
# Convert array-like types to ndarrays (gh-7159)
min_val, max_val = np.asarray(min_val), np.asarray(max_val)
np.clip(output_image, min_val, max_val, out=output_image)
def _validate_interpolation_order(image_dtype, order):
"""Validate and return spline interpolation's order.
Parameters
----------
image_dtype : dtype
Image dtype.
order : int, optional
The order of the spline interpolation. The order has to be in
the range 0-5. See `skimage.transform.warp` for detail.
Returns
-------
order : int
if input order is None, returns 0 if image_dtype is bool and 1
otherwise. Otherwise, image_dtype is checked and input order
is validated accordingly (order > 0 is not supported for bool
image dtype)
"""
if order is None:
return 0 if image_dtype == bool else 1
if order < 0 or order > 5:
raise ValueError(
"Spline interpolation order has to be in the " "range 0-5.")
if image_dtype == bool and order != 0:
raise ValueError(
"Input image dtype is bool. Interpolation is not defined "
"with bool data type. Please set order to 0 or explicitly "
"cast input image to another data type."
)
return order
def _preprocess_resize_output_shape(image, output_shape):
"""Validate resize output shape according to input image.
Parameters
----------
image: ndarray
Image to be resized.
output_shape: iterable
Size of the generated output image `(rows, cols[, ...][, dim])`. If
`dim` is not provided, the number of channels is preserved.
Returns
-------
image: ndarray
The input image, but with additional singleton dimensions appended in
the case where ``len(output_shape) > input.ndim``.
output_shape: tuple
The output image converted to tuple.
Raises
------
ValueError:
If output_shape length is smaller than the image number of
dimensions
Notes
-----
The input image is reshaped if its number of dimensions is not
equal to output_shape_length.
"""
output_shape = tuple(output_shape)
output_ndim = len(output_shape)
input_shape = image.shape
if output_ndim > image.ndim:
# append dimensions to input_shape
input_shape += (1,) * (output_ndim - image.ndim)
image = np.reshape(image, input_shape)
elif output_ndim == image.ndim - 1:
# multichannel case: append shape of last axis
output_shape = output_shape + (image.shape[-1],)
elif output_ndim < image.ndim:
raise ValueError(
"output_shape length cannot be smaller than the "
"image number of dimensions"
)
return image, output_shape
def _to_ndimage_mode(mode):
"""Convert from `numpy.pad` mode name to the corresponding ndimage mode."""
mode_translation_dict = dict(
constant='constant',
edge='nearest',
symmetric='reflect',
reflect='mirror',
wrap='wrap',
)
if mode not in mode_translation_dict:
raise ValueError(
f"Unknown mode: '{mode}', or cannot translate mode. The "
f"mode should be one of 'constant', 'edge', 'symmetric', "
f"'reflect', or 'wrap'. See the documentation of numpy.pad for "
f"more info."
)
return _fix_ndimage_mode(mode_translation_dict[mode])
def _fix_ndimage_mode(mode):
# SciPy 1.6.0 introduced grid variants of constant and wrap which
# have less surprising behavior for images. Use these when available
grid_modes = {'constant': 'grid-constant', 'wrap': 'grid-wrap'}
return grid_modes.get(mode, mode)
def resize(
image,
output_shape,
order=None,
mode='reflect',
cval=0,
clip=True,
preserve_range=False,
anti_aliasing=None,
anti_aliasing_sigma=None,
):
"""Resize image to match a certain size.
Performs interpolation to up-size or down-size N-dimensional images. Note
that anti-aliasing should be enabled when down-sizing images to avoid
aliasing artifacts. For downsampling with an integer factor also see
`skimage.transform.downscale_local_mean`.
Parameters
----------
image : ndarray
Input image.
output_shape : iterable
Size of the generated output image `(rows, cols[, ...][, dim])`. If
`dim` is not provided, the number of channels is preserved. In case the
number of input channels does not equal the number of output channels a
n-dimensional interpolation is applied.
Returns
-------
resized : ndarray
Resized version of the input.
Other parameters
----------------
order : int, optional
The order of the spline interpolation, default is 0 if
image.dtype is bool and 1 otherwise. The order has to be in
the range 0-5. See `skimage.transform.warp` for detail.
mode : {'constant', 'edge', 'symmetric', 'reflect', 'wrap'}, optional
Points outside the boundaries of the input are filled according
to the given mode. Modes match the behaviour of `numpy.pad`.
cval : float, optional
Used in conjunction with mode 'constant', the value outside
the image boundaries.
clip : bool, optional
Whether to clip the output to the range of values of the input image.
This is enabled by default, since higher order interpolation may
produce values outside the given input range.
preserve_range : bool, optional
Whether to keep the original range of values. Otherwise, the input
image is converted according to the conventions of `img_as_float`.
Also see https://scikit-image.org/docs/dev/user_guide/data_types.html
anti_aliasing : bool, optional
Whether to apply a Gaussian filter to smooth the image prior
to downsampling. It is crucial to filter when downsampling
the image to avoid aliasing artifacts. If not specified, it is set to
True when downsampling an image whose data type is not bool.
It is also set to False when using nearest neighbor interpolation
(``order`` == 0) with integer input data type.
anti_aliasing_sigma : {float, tuple of floats}, optional
Standard deviation for Gaussian filtering used when anti-aliasing.
By default, this value is chosen as (s - 1) / 2 where s is the
downsampling factor, where s > 1. For the up-size case, s < 1, no
anti-aliasing is performed prior to rescaling.
Notes
-----
Modes 'reflect' and 'symmetric' are similar, but differ in whether the edge
pixels are duplicated during the reflection. As an example, if an array
has values [0, 1, 2] and was padded to the right by four values using
symmetric, the result would be [0, 1, 2, 2, 1, 0, 0], while for reflect it
would be [0, 1, 2, 1, 0, 1, 2].
Examples
--------
>>> from skimage import data
>>> from skimage.transform import resize
>>> image = data.camera()
>>> resize(image, (100, 100)).shape
(100, 100)
"""
image, output_shape = _preprocess_resize_output_shape(image, output_shape)
input_shape = image.shape
input_type = image.dtype
if input_type == np.float16:
image = image.astype(np.float32)
if anti_aliasing is None:
anti_aliasing = (
not input_type == bool
and not (np.issubdtype(input_type, np.integer) and order == 0)
and any(x < y for x, y in zip(output_shape, input_shape))
)
if input_type == bool and anti_aliasing:
raise ValueError("anti_aliasing must be False for boolean images")
factors = np.divide(input_shape, output_shape)
order = _validate_interpolation_order(input_type, order)
if order > 0:
image = convert_to_float(image, preserve_range)
# Translate modes used by np.pad to those used by scipy.ndimage
ndi_mode = _to_ndimage_mode(mode)
if anti_aliasing:
if anti_aliasing_sigma is None:
anti_aliasing_sigma = np.maximum(0, (factors - 1) / 2)
else:
anti_aliasing_sigma = np.atleast_1d(anti_aliasing_sigma) * np.ones_like(
factors
)
if np.any(anti_aliasing_sigma < 0):
raise ValueError(
"Anti-aliasing standard deviation must be "
"greater than or equal to zero"
)
elif np.any((anti_aliasing_sigma > 0) & (factors <= 1)):
warnings.warn(
"Anti-aliasing standard deviation greater than zero but "
"not down-sampling along all axes",
stacklevel=2
)
filtered = ndi.gaussian_filter(
image, anti_aliasing_sigma, cval=cval, mode=ndi_mode
)
else:
filtered = image
zoom_factors = [1 / f for f in factors]
out = ndi.zoom(
filtered, zoom_factors, order=order, mode=ndi_mode, cval=cval, grid_mode=True
)
_clip_warp_output(image, out, mode, cval, clip)
return out

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import warnings
from warnings import warn
import numpy as np
__all__ = [
'img_as_float32',
'img_as_float64',
'img_as_float',
'img_as_int',
'img_as_uint',
'img_as_ubyte',
'img_as_bool',
'dtype_limits',
]
# Some of these may or may not be aliases depending on architecture & platform
_integer_types = (
np.int8,
np.byte,
np.int16,
np.short,
np.int32,
np.int64,
np.longlong,
np.int_,
np.intp,
np.intc,
int,
np.uint8,
np.ubyte,
np.uint16,
np.ushort,
np.uint32,
np.uint64,
np.ulonglong,
np.uint,
np.uintp,
np.uintc,
)
_integer_ranges = {t: (np.iinfo(t).min, np.iinfo(t).max) for t in _integer_types}
dtype_range = {
bool: (False, True),
np.bool_: (False, True),
float: (-1, 1),
np.float16: (-1, 1),
np.float32: (-1, 1),
np.float64: (-1, 1),
}
with warnings.catch_warnings():
warnings.filterwarnings('ignore', category=DeprecationWarning)
# np.bool8 is a deprecated alias of np.bool_
if hasattr(np, 'bool8'):
dtype_range[np.bool8] = (False, True)
dtype_range.update(_integer_ranges)
_supported_types = list(dtype_range.keys())
def dtype_limits(image, clip_negative=False):
"""Return intensity limits, i.e. (min, max) tuple, of the image's dtype.
Parameters
----------
image : ndarray
Input image.
clip_negative : bool, optional
If True, clip the negative range (i.e. return 0 for min intensity)
even if the image dtype allows negative values.
Returns
-------
imin, imax : tuple
Lower and upper intensity limits.
"""
imin, imax = dtype_range[image.dtype.type]
if clip_negative:
imin = 0
return imin, imax
def _dtype_itemsize(itemsize, *dtypes):
"""Return first of `dtypes` with itemsize greater than `itemsize`
Parameters
----------
itemsize: int
The data type object element size.
Other Parameters
----------------
*dtypes:
Any Object accepted by `np.dtype` to be converted to a data
type object
Returns
-------
dtype: data type object
First of `dtypes` with itemsize greater than `itemsize`.
"""
return next(dt for dt in dtypes if np.dtype(dt).itemsize >= itemsize)
def _dtype_bits(kind, bits, itemsize=1):
"""Return dtype of `kind` that can store a `bits` wide unsigned int
Parameters:
kind: str
Data type kind.
bits: int
Desired number of bits.
itemsize: int
The data type object element size.
Returns
-------
dtype: data type object
Data type of `kind` that can store a `bits` wide unsigned int
"""
s = next(
i
for i in (itemsize,) + (2, 4, 8)
if bits < (i * 8) or (bits == (i * 8) and kind == 'u')
)
return np.dtype(kind + str(s))
def _scale(a, n, m, copy=True):
"""Scale an array of unsigned/positive integers from `n` to `m` bits.
Numbers can be represented exactly only if `m` is a multiple of `n`.
Parameters
----------
a : ndarray
Input image array.
n : int
Number of bits currently used to encode the values in `a`.
m : int
Desired number of bits to encode the values in `out`.
copy : bool, optional
If True, allocates and returns new array. Otherwise, modifies
`a` in place.
Returns
-------
out : array
Output image array. Has the same kind as `a`.
"""
kind = a.dtype.kind
if n > m and a.max() < 2**m:
mnew = int(np.ceil(m / 2) * 2)
if mnew > m:
dtype = f'int{mnew}'
else:
dtype = f'uint{mnew}'
n = int(np.ceil(n / 2) * 2)
warn(
f'Downcasting {a.dtype} to {dtype} without scaling because max '
f'value {a.max()} fits in {dtype}',
stacklevel=3,
)
return a.astype(_dtype_bits(kind, m))
elif n == m:
return a.copy() if copy else a
elif n > m:
# downscale with precision loss
if copy:
b = np.empty(a.shape, _dtype_bits(kind, m))
np.floor_divide(a, 2 ** (n - m), out=b, dtype=a.dtype, casting='unsafe')
return b
else:
a //= 2 ** (n - m)
return a
elif m % n == 0:
# exact upscale to a multiple of `n` bits
if copy:
b = np.empty(a.shape, _dtype_bits(kind, m))
np.multiply(a, (2**m - 1) // (2**n - 1), out=b, dtype=b.dtype)
return b
else:
a = a.astype(_dtype_bits(kind, m, a.dtype.itemsize), copy=False)
a *= (2**m - 1) // (2**n - 1)
return a
else:
# upscale to a multiple of `n` bits,
# then downscale with precision loss
o = (m // n + 1) * n
if copy:
b = np.empty(a.shape, _dtype_bits(kind, o))
np.multiply(a, (2**o - 1) // (2**n - 1), out=b, dtype=b.dtype)
b //= 2 ** (o - m)
return b
else:
a = a.astype(_dtype_bits(kind, o, a.dtype.itemsize), copy=False)
a *= (2**o - 1) // (2**n - 1)
a //= 2 ** (o - m)
return a
def _convert(image, dtype, force_copy=False, uniform=False):
"""
Convert an image to the requested data-type.
Warnings are issued in case of precision loss, or when negative values
are clipped during conversion to unsigned integer types (sign loss).
Floating point values are expected to be normalized and will be clipped
to the range [0.0, 1.0] or [-1.0, 1.0] when converting to unsigned or
signed integers respectively.
Numbers are not shifted to the negative side when converting from
unsigned to signed integer types. Negative values will be clipped when
converting to unsigned integers.
Parameters
----------
image : ndarray
Input image.
dtype : dtype
Target data-type.
force_copy : bool, optional
Force a copy of the data, irrespective of its current dtype.
uniform : bool, optional
Uniformly quantize the floating point range to the integer range.
By default (uniform=False) floating point values are scaled and
rounded to the nearest integers, which minimizes back and forth
conversion errors.
.. versionchanged:: 0.15
``_convert`` no longer warns about possible precision or sign
information loss. See discussions on these warnings at:
https://github.com/scikit-image/scikit-image/issues/2602
https://github.com/scikit-image/scikit-image/issues/543#issuecomment-208202228
https://github.com/scikit-image/scikit-image/pull/3575
References
----------
.. [1] DirectX data conversion rules.
https://msdn.microsoft.com/en-us/library/windows/desktop/dd607323%28v=vs.85%29.aspx
.. [2] Data Conversions. In "OpenGL ES 2.0 Specification v2.0.25",
pp 7-8. Khronos Group, 2010.
.. [3] Proper treatment of pixels as integers. A.W. Paeth.
In "Graphics Gems I", pp 249-256. Morgan Kaufmann, 1990.
.. [4] Dirty Pixels. J. Blinn. In "Jim Blinn's corner: Dirty Pixels",
pp 47-57. Morgan Kaufmann, 1998.
"""
image = np.asarray(image)
dtypeobj_in = image.dtype
if dtype is np.floating:
dtypeobj_out = np.dtype('float64')
else:
dtypeobj_out = np.dtype(dtype)
dtype_in = dtypeobj_in.type
dtype_out = dtypeobj_out.type
kind_in = dtypeobj_in.kind
kind_out = dtypeobj_out.kind
itemsize_in = dtypeobj_in.itemsize
itemsize_out = dtypeobj_out.itemsize
# Below, we do an `issubdtype` check. Its purpose is to find out
# whether we can get away without doing any image conversion. This happens
# when:
#
# - the output and input dtypes are the same or
# - when the output is specified as a type, and the input dtype
# is a subclass of that type (e.g. `np.floating` will allow
# `float32` and `float64` arrays through)
if np.issubdtype(dtype_in, dtype):
if force_copy:
image = image.copy()
return image
if not (dtype_in in _supported_types and dtype_out in _supported_types):
raise ValueError(f'Cannot convert from {dtypeobj_in} to ' f'{dtypeobj_out}.')
if kind_in in 'ui':
imin_in = np.iinfo(dtype_in).min
imax_in = np.iinfo(dtype_in).max
if kind_out in 'ui':
imin_out = np.iinfo(dtype_out).min
imax_out = np.iinfo(dtype_out).max
# any -> binary
if kind_out == 'b':
return image > dtype_in(dtype_range[dtype_in][1] / 2)
# binary -> any
if kind_in == 'b':
result = image.astype(dtype_out)
if kind_out != 'f':
result *= dtype_out(dtype_range[dtype_out][1])
return result
# float -> any
if kind_in == 'f':
if kind_out == 'f':
# float -> float
return image.astype(dtype_out)
if np.min(image) < -1.0 or np.max(image) > 1.0:
raise ValueError("Images of type float must be between -1 and 1.")
# floating point -> integer
# use float type that can represent output integer type
computation_type = _dtype_itemsize(
itemsize_out, dtype_in, np.float32, np.float64
)
if not uniform:
if kind_out == 'u':
image_out = np.multiply(image, imax_out, dtype=computation_type)
else:
image_out = np.multiply(
image, (imax_out - imin_out) / 2, dtype=computation_type
)
image_out -= 1.0 / 2.0
np.rint(image_out, out=image_out)
np.clip(image_out, imin_out, imax_out, out=image_out)
elif kind_out == 'u':
image_out = np.multiply(image, imax_out + 1, dtype=computation_type)
np.clip(image_out, 0, imax_out, out=image_out)
else:
image_out = np.multiply(
image, (imax_out - imin_out + 1.0) / 2.0, dtype=computation_type
)
np.floor(image_out, out=image_out)
np.clip(image_out, imin_out, imax_out, out=image_out)
return image_out.astype(dtype_out)
# signed/unsigned int -> float
if kind_out == 'f':
# use float type that can exactly represent input integers
computation_type = _dtype_itemsize(
itemsize_in, dtype_out, np.float32, np.float64
)
if kind_in == 'u':
# using np.divide or np.multiply doesn't copy the data
# until the computation time
image = np.multiply(image, 1.0 / imax_in, dtype=computation_type)
# DirectX uses this conversion also for signed ints
# if imin_in:
# np.maximum(image, -1.0, out=image)
elif kind_in == 'i':
# From DirectX conversions:
# The most negative value maps to -1.0f
# Every other value is converted to a float (call it c)
# and then result = c * (1.0f / (2⁽ⁿ⁻¹⁾-1)).
image = np.multiply(image, 1.0 / imax_in, dtype=computation_type)
np.maximum(image, -1.0, out=image)
else:
image = np.add(image, 0.5, dtype=computation_type)
image *= 2 / (imax_in - imin_in)
return np.asarray(image, dtype_out)
# unsigned int -> signed/unsigned int
if kind_in == 'u':
if kind_out == 'i':
# unsigned int -> signed int
image = _scale(image, 8 * itemsize_in, 8 * itemsize_out - 1)
return image.view(dtype_out)
else:
# unsigned int -> unsigned int
return _scale(image, 8 * itemsize_in, 8 * itemsize_out)
# signed int -> unsigned int
if kind_out == 'u':
image = _scale(image, 8 * itemsize_in - 1, 8 * itemsize_out)
result = np.empty(image.shape, dtype_out)
np.maximum(image, 0, out=result, dtype=image.dtype, casting='unsafe')
return result
# signed int -> signed int
if itemsize_in > itemsize_out:
return _scale(image, 8 * itemsize_in - 1, 8 * itemsize_out - 1)
image = image.astype(_dtype_bits('i', itemsize_out * 8))
image -= imin_in
image = _scale(image, 8 * itemsize_in, 8 * itemsize_out, copy=False)
image += imin_out
return image.astype(dtype_out)
def convert(image, dtype, force_copy=False, uniform=False):
warn(
"The use of this function is discouraged as its behavior may change "
"dramatically in scikit-image 1.0. This function will be removed "
"in scikit-image 1.0.",
FutureWarning,
stacklevel=2,
)
return _convert(image=image, dtype=dtype, force_copy=force_copy, uniform=uniform)
if _convert.__doc__ is not None:
convert.__doc__ = (
_convert.__doc__
+ """
Warns
-----
FutureWarning:
.. versionadded:: 0.17
The use of this function is discouraged as its behavior may change
dramatically in scikit-image 1.0. This function will be removed
in scikit-image 1.0.
"""
)
def img_as_float32(image, force_copy=False):
"""Convert an image to single-precision (32-bit) floating point format.
Parameters
----------
image : ndarray
Input image.
force_copy : bool, optional
Force a copy of the data, irrespective of its current dtype.
Returns
-------
out : ndarray of float32
Output image.
Notes
-----
The range of a floating point image is [0.0, 1.0] or [-1.0, 1.0] when
converting from unsigned or signed datatypes, respectively.
If the input image has a float type, intensity values are not modified
and can be outside the ranges [0.0, 1.0] or [-1.0, 1.0].
"""
return _convert(image, np.float32, force_copy)
def img_as_float64(image, force_copy=False):
"""Convert an image to double-precision (64-bit) floating point format.
Parameters
----------
image : ndarray
Input image.
force_copy : bool, optional
Force a copy of the data, irrespective of its current dtype.
Returns
-------
out : ndarray of float64
Output image.
Notes
-----
The range of a floating point image is [0.0, 1.0] or [-1.0, 1.0] when
converting from unsigned or signed datatypes, respectively.
If the input image has a float type, intensity values are not modified
and can be outside the ranges [0.0, 1.0] or [-1.0, 1.0].
"""
return _convert(image, np.float64, force_copy)
def img_as_float(image, force_copy=False):
"""Convert an image to floating point format.
This function is similar to `img_as_float64`, but will not convert
lower-precision floating point arrays to `float64`.
Parameters
----------
image : ndarray
Input image.
force_copy : bool, optional
Force a copy of the data, irrespective of its current dtype.
Returns
-------
out : ndarray of float
Output image.
Notes
-----
The range of a floating point image is [0.0, 1.0] or [-1.0, 1.0] when
converting from unsigned or signed datatypes, respectively.
If the input image has a float type, intensity values are not modified
and can be outside the ranges [0.0, 1.0] or [-1.0, 1.0].
"""
return _convert(image, np.floating, force_copy)
def img_as_uint(image, force_copy=False):
"""Convert an image to 16-bit unsigned integer format.
Parameters
----------
image : ndarray
Input image.
force_copy : bool, optional
Force a copy of the data, irrespective of its current dtype.
Returns
-------
out : ndarray of uint16
Output image.
Notes
-----
Negative input values will be clipped.
Positive values are scaled between 0 and 65535.
"""
return _convert(image, np.uint16, force_copy)
def img_as_int(image, force_copy=False):
"""Convert an image to 16-bit signed integer format.
Parameters
----------
image : ndarray
Input image.
force_copy : bool, optional
Force a copy of the data, irrespective of its current dtype.
Returns
-------
out : ndarray of int16
Output image.
Notes
-----
The values are scaled between -32768 and 32767.
If the input data-type is positive-only (e.g., uint8), then
the output image will still only have positive values.
"""
return _convert(image, np.int16, force_copy)
def img_as_ubyte(image, force_copy=False):
"""Convert an image to 8-bit unsigned integer format.
Parameters
----------
image : ndarray
Input image.
force_copy : bool, optional
Force a copy of the data, irrespective of its current dtype.
Returns
-------
out : ndarray of ubyte (uint8)
Output image.
Notes
-----
Negative input values will be clipped.
Positive values are scaled between 0 and 255.
"""
return _convert(image, np.uint8, force_copy)
def img_as_bool(image, force_copy=False):
"""Convert an image to boolean format.
Parameters
----------
image : ndarray
Input image.
force_copy : bool, optional
Force a copy of the data, irrespective of its current dtype.
Returns
-------
out : ndarray of bool (`bool_`)
Output image.
Notes
-----
The upper half of the input dtype's positive range is True, and the lower
half is False. All negative values (if present) are False.
"""
return _convert(image, bool, force_copy)

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from ast import literal_eval
from pathlib import Path
import bpy
from ..constants import NODE_LIB_FILEPATH, VERSION
from ..utils import get_cache_dir
def move_node_to_node(node, target_node, offset=(0, 0)):
node.location.x = target_node.location.x + offset[0]
node.location.y = target_node.location.y + offset[1]
def move_node_between_nodes(node, target_nodes, offset=(0, 0)):
xs = []
ys = []
for target_node in target_nodes:
xs.append(target_node.location.x)
ys.append(target_node.location.y)
node.location.x = sum(xs) / len(xs) + offset[0]
node.location.y = sum(ys) / len(ys) + offset[1]
def get_node_type(node):
node_type = type(node).__name__
if node_type == "GeometryNodeGroup":
node_type = node.node_tree.name
return node_type
def get_nodes_by_type(node_group, type_name: str):
return [node for node in node_group.nodes if get_node_type(node) == type_name]
def get_container_objs_from_selection():
container_objs = []
for obj in bpy.context.selected_objects:
if get_container_obj(obj):
container_objs.append(obj)
return list(set(container_objs))
def get_container_obj(current_obj):
if current_obj:
if current_obj.get('bioxel_container'):
return current_obj
elif current_obj.get('bioxel_layer'):
parent = current_obj.parent
return parent if parent.get('bioxel_container') else None
return None
def get_layer_prop_value(layer_obj: bpy.types.Object, prop_name: str):
node_group = layer_obj.modifiers[0].node_group
layer_node = get_nodes_by_type(node_group, "BioxelNodes__Layer")[0]
prop = layer_node.inputs.get(prop_name)
if prop is None:
return None
value = prop.default_value
if type(value).__name__ == "bpy_prop_array":
value = tuple(value)
return tuple([int(v) for v in value]) \
if prop in ["shape"] else value
elif type(value).__name__ == "str":
return str(value)
elif type(value).__name__ == "float":
value = float(value)
return round(value, 2) \
if prop in ["bioxel_size"] else value
elif type(value).__name__ == "int":
value = int(value)
return value
else:
return value
def get_layer_name(layer_obj):
return get_layer_prop_value(layer_obj, "name")
def get_layer_kind(layer_obj):
return get_layer_prop_value(layer_obj, "kind")
def get_layer_label(layer_obj):
name = get_layer_name(layer_obj)
# kind = get_layer_kind(layer_obj)
label = f"{name}"
if is_missing_layer(layer_obj):
return "**MISSING**" + label
elif is_temp_layer(layer_obj):
return "* " + label
else:
return label
def is_missing_layer(layer_obj):
cache_filepath = Path(bpy.path.abspath(
layer_obj.data.filepath)).resolve()
return not cache_filepath.is_file()
def is_temp_layer(layer_obj):
cache_filepath = Path(bpy.path.abspath(
layer_obj.data.filepath)).resolve()
cache_dirpath = Path(get_cache_dir())
return cache_dirpath in cache_filepath.parents
def set_layer_prop_value(layer_obj: bpy.types.Object, prop: str, value):
node_group = layer_obj.modifiers[0].node_group
layer_node = get_nodes_by_type(node_group, "BioxelNodes__Layer")[0]
layer_node.inputs[prop].default_value = value
def get_layer_obj(current_obj: bpy.types.Object):
if current_obj:
if current_obj.get('bioxel_layer') and current_obj.parent:
if current_obj.parent.get('bioxel_container'):
return current_obj
return None
def get_container_layer_objs(container_obj: bpy.types.Object):
layer_objs = []
for obj in bpy.data.objects:
if obj.parent == container_obj and get_layer_obj(obj):
layer_objs.append(obj)
return layer_objs
def get_all_layer_objs():
layer_objs = []
for obj in bpy.data.objects:
if get_layer_obj(obj):
layer_objs.append(obj)
return layer_objs
def add_driver(target, target_prop, var_sources, expression):
driver = target.driver_add(target_prop)
is_vector = isinstance(driver, list)
drivers = driver if is_vector else [driver]
for i, driver in enumerate(drivers):
for j, var_source in enumerate(var_sources):
source = var_source['source']
prop = var_source['prop']
var = driver.driver.variables.new()
var.name = f"var{j}"
var.targets[0].id_type = source.id_type
var.targets[0].id = source
var.targets[0].data_path = f'["{prop}"][{i}]'\
if is_vector else f'["{prop}"]'
driver.driver.expression = expression
def add_direct_driver(target, target_prop, source, source_prop):
drivers = [
{
"source": source,
"prop": source_prop
}
]
expression = "var0"
add_driver(target, target_prop, drivers, expression)
def read_file_prop(content: str):
props = {}
for line in content.split("\n"):
line = line.replace(" ", "")
p = line.split("=")[0]
if p != "":
v = line.split("=")[-1]
props[p] = v
return props
def write_file_prop(props: dict):
lines = []
for p, v in props.items():
lines.append(f"{p} = {v}")
return "\n".join(lines)
def set_file_prop(prop, value):
if bpy.data.texts.get("BioxelNodes") is None:
bpy.data.texts.new("BioxelNodes")
props = read_file_prop(bpy.data.texts["BioxelNodes"].as_string())
props[prop] = value
bpy.data.texts["BioxelNodes"].clear()
bpy.data.texts["BioxelNodes"].write(write_file_prop(props))
def get_file_prop(prop):
if bpy.data.texts.get("BioxelNodes") is None:
bpy.data.texts.new("BioxelNodes")
props = read_file_prop(bpy.data.texts["BioxelNodes"].as_string())
return props.get(prop)
def is_incompatible():
if get_file_prop("addon_version") is None:
for node_group in bpy.data.node_groups:
if node_group.name.startswith("BioxelNodes"):
return True
else:
addon_version = literal_eval(get_file_prop("addon_version"))
if addon_version[0] != VERSION[0]\
or addon_version[1] != VERSION[1]:
return True
return False
def local_lib_not_updated():
use_local = False
for node_group in bpy.data.node_groups:
if node_group.name.startswith("BioxelNodes"):
node_group_lib = node_group.library
if node_group_lib:
abs_filepath = bpy.path.abspath(node_group_lib.filepath)
_local_lib_file = Path(abs_filepath).resolve().as_posix()
if _local_lib_file != NODE_LIB_FILEPATH.as_posix():
use_local = True
break
addon_version = literal_eval(get_file_prop("addon_version"))
not_update = addon_version != VERSION
return use_local and not_update

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import bpy
from ..bioxel.container import Container
from bpy_extras.io_utils import axis_conversion
from mathutils import Matrix, Vector
from .layer import Layer, layer_to_obj, obj_to_layer
from .common import (get_container_layer_objs,
get_layer_prop_value,
get_nodes_by_type,
move_node_to_node)
from .node import add_node_to_graph
from ..utils import get_use_link
NODE_TYPE = {
"label": "BioxelNodes_MaskByLabel",
"scalar": "BioxelNodes_MaskByThreshold"
}
def calc_bbox_verts(origin: tuple, size: tuple):
bbox_origin = Vector(
(origin[0], origin[1], origin[2]))
bbox_size = Vector(
(size[0], size[1], size[2]))
bbox_verts = [
(
bbox_origin[0] + 0,
bbox_origin[1] + 0,
bbox_origin[2] + 0
),
(
bbox_origin[0] + 0,
bbox_origin[1] + 0,
bbox_origin[2] + bbox_size[2]
),
(
bbox_origin[0] + 0,
bbox_origin[1] + bbox_size[1],
bbox_origin[2] + 0
),
(
bbox_origin[0] + 0,
bbox_origin[1] + bbox_size[1],
bbox_origin[2] + bbox_size[2]
),
(
bbox_origin[0] + bbox_size[0],
bbox_origin[1] + 0,
bbox_origin[2] + 0
),
(
bbox_origin[0] + bbox_size[0],
bbox_origin[1] + 0,
bbox_origin[2] + bbox_size[2],
),
(
bbox_origin[0] + bbox_size[0],
bbox_origin[1] + bbox_size[1],
bbox_origin[2] + 0,
),
(
bbox_origin[0] + bbox_size[0],
bbox_origin[1] + bbox_size[1],
bbox_origin[2] + bbox_size[2],
),
]
return bbox_verts
def obj_to_container(container_obj: bpy.types.Object):
layer_objs = get_container_layer_objs(container_obj)
layers = [obj_to_layer(obj) for obj in layer_objs]
container = Container(name=container_obj.name,
layers=layers)
return container
def add_layers(layers: list[Layer],
container_obj: bpy.types.Object,
cache_dir: str):
node_group = container_obj.modifiers[0].node_group
try:
output_node = get_nodes_by_type(node_group,
'NodeGroupOutput')[0]
except:
output_node = node_group.nodes.new("NodeGroupOutput")
for i, layer in enumerate(layers):
layer_obj = layer_to_obj(layer, container_obj, cache_dir)
fetch_node = add_node_to_graph("FetchLayer",
node_group,
get_use_link())
fetch_node.label = get_layer_prop_value(layer_obj, "name")
fetch_node.inputs[0].default_value = layer_obj
if len(output_node.inputs[0].links) == 0:
node_group.links.new(fetch_node.outputs[0],
output_node.inputs[0])
move_node_to_node(fetch_node, output_node, (-600, 0))
else:
move_node_to_node(fetch_node, output_node, (0, -100 * (i+1)))
return container_obj
def container_to_obj(container: Container,
scene_scale: float,
step_size: float,
cache_dir: str):
# Wrapper a Container
# Make transformation
# (S)uperior -Z -> Y
# (A)osterior Y -> Z
mat_ras2blender = axis_conversion(from_forward='-Z',
from_up='Y',
to_forward='Y',
to_up='Z').to_4x4()
mat_scene_scale = Matrix.Scale(scene_scale,
4)
bpy.ops.mesh.primitive_cube_add(enter_editmode=False,
align='WORLD',
location=(0, 0, 0),
scale=(1, 1, 1))
container_obj = bpy.context.active_object
bbox_verts = calc_bbox_verts((0, 0, 0), container.layers[0].shape)
for i, vert in enumerate(container_obj.data.vertices):
transform = Matrix(container.layers[0].affine)
vert.co = transform @ Vector(bbox_verts[i])
container_obj.matrix_world = mat_ras2blender @ mat_scene_scale
container_obj.name = container.name
container_obj.data.name = container.name
container_obj.show_in_front = True
container_obj.lock_location[0] = True
container_obj.lock_location[1] = True
container_obj.lock_location[2] = True
container_obj.lock_rotation[0] = True
container_obj.lock_rotation[1] = True
container_obj.lock_rotation[2] = True
container_obj.lock_scale[0] = True
container_obj.lock_scale[1] = True
container_obj.lock_scale[2] = True
container_obj['bioxel_container'] = True
container_obj["scene_scale"] = scene_scale
container_obj["step_size"] = step_size
modifier = container_obj.modifiers.new("GeometryNodes", 'NODES')
node_group = bpy.data.node_groups.new('GeometryNodes', 'GeometryNodeTree')
node_group.interface.new_socket(name="Output",
in_out="OUTPUT",
socket_type="NodeSocketGeometry")
modifier.node_group = node_group
node_group.nodes.new("NodeGroupOutput")
container_obj = add_layers(container.layers,
container_obj=container_obj,
cache_dir=cache_dir)
return container_obj

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import random
import re
import bpy
import numpy as np
import pyopenvdb as vdb
from pathlib import Path
from uuid import uuid4
from ..bioxel.layer import Layer
from ..utils import get_use_link
from .node import add_node_to_graph
from .common import (get_layer_prop_value,
move_node_between_nodes)
def obj_to_layer(layer_obj: bpy.types.Object):
cache_filepath = Path(bpy.path.abspath(layer_obj.data.filepath)).resolve()
is_sequence = re.search(r'\.\d{4}\.',
cache_filepath.name) is not None
if is_sequence:
cache_path = cache_filepath.parent
data_frames = ()
for f in cache_path.iterdir():
if not f.is_file() or f.suffix != ".vdb":
continue
grids, base_metadata = vdb.readAll(str(f))
grid = grids[0]
metadata = grid.metadata
if grid["layer_kind"] in ['label', 'scalar']:
data_shape = grid["data_shape"]
else:
data_shape = tuple(list(grid["data_shape"]) + [3])
data_frame = np.ndarray(data_shape, np.float32)
grid.copyToArray(data_frame)
data_frames += (data_frame,)
data = np.stack(data_frames)
else:
grids, base_metadata = vdb.readAll(str(cache_filepath))
grid = grids[0]
metadata = grid.metadata
if grid["layer_kind"] in ['label', 'scalar']:
data_shape = grid["data_shape"]
else:
data_shape = tuple(list(grid["data_shape"]) + [3])
data = np.ndarray(data_shape, np.float32)
grid.copyToArray(data)
data = np.expand_dims(data, axis=0) # expend frame
name = get_layer_prop_value(layer_obj, "name") \
or metadata["layer_name"]
kind = get_layer_prop_value(layer_obj, "kind") \
or metadata["layer_kind"]
affine = metadata["layer_affine"]
dtype = get_layer_prop_value(layer_obj, "dtype") \
or metadata.get("data_dtype") or "float32"
offset = get_layer_prop_value(layer_obj, "offset") \
or metadata.get("data_offset") or 0
data = data - np.full_like(data, offset)
data = data.astype(dtype)
if kind in ["scalar", "label"]:
data = np.expand_dims(data, axis=-1) # expend channel
layer = Layer(data=data,
name=name,
kind=kind,
affine=affine)
return layer
def layer_to_obj(layer: Layer,
container_obj: bpy.types.Object,
cache_dir: str):
data = layer.data
# TXYZC > TXYZ
if layer.kind in ['label', 'scalar']:
data = np.amax(data, -1)
offset = 0
if layer.kind in ['scalar']:
data = data.astype(np.float32)
orig_min = float(np.min(data))
if orig_min < 0:
offset = -orig_min
data = data + np.full_like(data, offset)
metadata = {
"layer_name": layer.name,
"layer_kind": layer.kind,
"layer_affine": layer.affine.tolist(),
"data_shape": layer.shape,
"data_dtype": layer.data.dtype.str,
"data_offset": offset
}
layer_display_name = f"{container_obj.name}_{layer.name}"
if layer.frame_count > 1:
print(f"Saving the Cache of {layer.name}...")
vdb_name = str(uuid4())
sequence_path = Path(cache_dir, vdb_name)
sequence_path.mkdir(parents=True, exist_ok=True)
cache_filepaths = []
for f in range(layer.frame_count):
if layer.kind in ['label', 'scalar']:
grid = vdb.FloatGrid()
grid.copyFromArray(data[f, :, :, :].copy().astype(np.float32))
else:
# color
grid = vdb.Vec3SGrid()
grid.copyFromArray(
data[f, :, :, :, :].copy().astype(np.float32))
grid.transform = vdb.createLinearTransform(
layer.affine.transpose())
grid.metadata = metadata
grid.name = layer.kind
cache_filepath = Path(sequence_path,
f"{vdb_name}.{str(f+1).zfill(4)}.vdb")
vdb.write(str(cache_filepath), grids=[grid])
cache_filepaths.append(cache_filepath)
else:
if layer.kind in ['label', 'scalar']:
grid = vdb.FloatGrid()
grid.copyFromArray(data[0, :, :, :].copy().astype(np.float32))
else:
# color
grid = vdb.Vec3SGrid()
grid.copyFromArray(data[0, :, :, :, :].copy().astype(np.float32))
grid.transform = vdb.createLinearTransform(
layer.affine.transpose())
grid.metadata = metadata
grid.name = layer.kind
print(f"Saving the Cache of {layer.name}...")
cache_filepath = Path(cache_dir, f"{uuid4()}.vdb")
vdb.write(str(cache_filepath), grids=[grid])
cache_filepaths = [cache_filepath]
layer_data = bpy.data.volumes.new(layer_display_name)
layer_data.render.space = 'WORLD'
scene_scale = container_obj.get("scene_scale") or 0.01
step_size = container_obj.get("step_size") or 1
layer_data.render.step_size = scene_scale * step_size
layer_data.sequence_mode = 'REPEAT'
layer_data.filepath = str(cache_filepaths[0])
if layer.frame_count > 1:
layer_data.is_sequence = True
layer_data.frame_duration = layer.frame_count
else:
layer_data.is_sequence = False
layer_obj = bpy.data.objects.new(layer_display_name, layer_data)
layer_obj['bioxel_layer'] = True
print(f"Creating Node for {layer.name}...")
modifier = layer_obj.modifiers.new("GeometryNodes", 'NODES')
node_group = bpy.data.node_groups.new('GeometryNodes', 'GeometryNodeTree')
node_group.interface.new_socket(name="Cache",
in_out="INPUT",
socket_type="NodeSocketGeometry")
node_group.interface.new_socket(name="Layer",
in_out="OUTPUT",
socket_type="NodeSocketGeometry")
modifier.node_group = node_group
layer_node = add_node_to_graph("_Layer", node_group, get_use_link())
layer_node.inputs['name'].default_value = layer.name
layer_node.inputs['shape'].default_value = layer.shape
layer_node.inputs['kind'].default_value = layer.kind
for i in range(layer.affine.shape[1]):
for j in range(layer.affine.shape[0]):
affine_key = f"affine{i}{j}"
layer_node.inputs[affine_key].default_value = layer.affine[j, i]
layer_node.inputs['unique'].default_value = random.uniform(0, 1)
layer_node.inputs['bioxel_size'].default_value = layer.bioxel_size[0]
layer_node.inputs['dtype'].default_value = layer.dtype.str
layer_node.inputs['dtype_num'].default_value = layer.dtype.num
layer_node.inputs['frame_count'].default_value = layer.frame_count
layer_node.inputs['channel_count'].default_value = layer.channel_count
layer_node.inputs['offset'].default_value = max(0, -layer.min)
layer_node.inputs['min'].default_value = layer.min
layer_node.inputs['max'].default_value = layer.max
input_node = node_group.nodes.new("NodeGroupInput")
output_node = node_group.nodes.new("NodeGroupOutput")
node_group.links.new(input_node.outputs[0],
layer_node.inputs[0])
node_group.links.new(layer_node.outputs[0],
output_node.inputs[0])
move_node_between_nodes(
layer_node, [input_node, output_node])
layer_obj.parent = container_obj
return layer_obj

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from pathlib import Path
import shutil
import bpy
from .common import get_file_prop, set_file_prop
from ..exceptions import Incompatible, NoFound
from ..constants import NODE_LIB_FILEPATH, VERSION
def get_node_group(node_type: str, use_link=True):
# unannotate below for local debug in node lib file.
# node_group = bpy.data.node_groups[node_type]
# return node_group
if get_file_prop("addon_version") is None:
set_file_prop("addon_version", VERSION)
local_lib_file = None
addon_lib_file = NODE_LIB_FILEPATH.as_posix()
for node_group in bpy.data.node_groups:
if node_group.name.startswith("BioxelNodes"):
node_group_lib = node_group.library
if node_group_lib:
abs_filepath = bpy.path.abspath(node_group_lib.filepath)
_local_lib_file = Path(abs_filepath).resolve().as_posix()
if _local_lib_file != addon_lib_file:
local_lib_file = _local_lib_file
break
# local lib first
lib_file = local_lib_file or addon_lib_file
bpy.ops.wm.append('EXEC_DEFAULT',
directory=f"{lib_file}/NodeTree",
filename=node_type,
link=use_link,
use_recursive=True,
do_reuse_local_id=True)
node_group = bpy.data.node_groups.get(node_type)
if node_group is None:
raise NoFound('No custom node found')
return node_group
def assign_node_group(node, node_type: str):
node.node_tree = bpy.data.node_groups[node_type]
node.width = 200.0
node.name = node_type
return node
def add_node_to_graph(node_name: str, node_group, use_link=True):
node_type = f"BioxelNodes_{node_name}"
# Deselect all nodes first
for node in node_group.nodes:
if node.select:
node.select = False
get_node_group(node_type, use_link)
node = node_group.nodes.new("GeometryNodeGroup")
assign_node_group(node, node_type)
node.show_options = False
return node

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schema_version = "1.0.0"
id = "bioxelnodes"
version = "1.0.0"
name = "Bioxel Nodes"
tagline = "For scientific volumetric data visualization in Blender"
maintainer = "Ma Nan <icrdr2010@outlook.com>"
type = "add-on"
website = "https://omoolab.github.io/BioxelNodes/latest"
tags = ["Geometry Nodes", "Render", "Import-Export"]
blender_version_min = "4.2.0"
license = ["SPDX:MIT"]
copyright = ["2024 OmooLab"]
platforms = ["windows-x64", "linux-x64", "macos-arm64", "macos-x64"]
wheels = [
"./wheels/SimpleITK-2.3.1-cp311-cp311-win_amd64.whl",
"./wheels/SimpleITK-2.3.1-cp311-cp311-macosx_10_9_x86_64.whl",
"./wheels/SimpleITK-2.3.1-cp311-cp311-macosx_11_0_arm64.whl",
"./wheels/SimpleITK-2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"./wheels/lxml-5.2.2-cp311-cp311-win_amd64.whl",
"./wheels/lxml-5.2.2-cp311-cp311-macosx_10_9_arm64.whl",
"./wheels/lxml-5.2.2-cp311-cp311-macosx_10_9_x86_64.whl",
"./wheels/lxml-5.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"./wheels/h5py-3.11.0-cp311-cp311-win_amd64.whl",
"./wheels/h5py-3.11.0-cp311-cp311-macosx_11_0_arm64.whl",
"./wheels/h5py-3.11.0-cp311-cp311-macosx_10_9_x86_64.whl",
"./wheels/h5py-3.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"./wheels/tifffile-2024.7.24-py3-none-any.whl",
"./wheels/pyometiff-1.0.0-py3-none-any.whl",
"./wheels/mrcfile-1.5.1-py2.py3-none-any.whl",
"./wheels/transforms3d-0.4.2-py3-none-any.whl"
]
[permissions]
files = "Import/export volume data from/to disk"

224
bioxelnodes/constants.py Normal file
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@@ -0,0 +1,224 @@
from pathlib import Path
VERSION = (1, 0, 0)
NODE_LIB_FILENAME = "BioxelNodes_v1.0.x"
NODE_LIB_FILEPATH = Path(Path(__file__).parent,
f"assets/Nodes/{NODE_LIB_FILENAME}.blend").resolve()
MENU_ITEMS = [
{
'label': 'Component',
'icon': 'OUTLINER_DATA_VOLUME',
'items': [
{
'label': 'Cutout by Threshold',
'icon': 'EMPTY_SINGLE_ARROW',
'name': 'CutoutByThreshold',
'description': ''
},
{
'label': 'Cutout by Range',
'icon': 'IPO_CONSTANT',
'name': 'CutoutByRange',
'description': ''
},
{
'label': 'Cutout by Color',
'icon': 'COLOR',
'name': 'CutoutByColor',
'description': ''
},
"separator",
{
'label': 'To Surface',
'icon': 'MESH_DATA',
'name': 'ToSurface',
'description': ''
},
{
'label': 'Join Component',
'icon': 'CONSTRAINT_BONE',
'name': 'JoinComponent',
'description': ''
},
{
'label': 'Slice',
'icon': 'TEXTURE',
'name': 'Slice',
'description': ''
}
]
},
{
'label': 'Properties',
'icon': 'PROPERTIES',
'items': [
{
'label': 'Set Properties',
'icon': 'PROPERTIES',
'name': 'SetProperties',
'description': ''
},
"separator",
{
'label': 'Set Color',
'icon': 'IPO_SINE',
'name': 'SetColor',
'description': ''
},
{
'label': 'Set Color by Color',
'icon': 'IPO_QUINT',
'name': 'SetColorByColor',
'description': ''
},
{
'label': 'Set Color by Ramp 2',
'icon': 'IPO_QUAD',
'name': 'SetColorByRamp2',
'description': ''
},
{
'label': 'Set Color by Ramp 3',
'icon': 'IPO_CUBIC',
'name': 'SetColorByRamp3',
'description': ''
},
{
'label': 'Set Color by Ramp 4',
'icon': 'IPO_QUART',
'name': 'SetColorByRamp4',
'description': ''
},
{
'label': 'Set Color by Ramp 5',
'icon': 'IPO_QUINT',
'name': 'SetColorByRamp5',
'description': ''
}
]
},
{
'label': 'Surface',
'icon': 'MESH_DATA',
'items': [
{
'label': 'Membrane Shader',
'icon': 'NODE_MATERIAL',
'name': 'AssignMembraneShader',
'description': ''
},
{
'label': 'Solid Shader',
'icon': 'SHADING_SOLID',
'name': 'AssignSolidShader',
'description': ''
},
{
'label': 'Slime Shader',
'icon': 'OUTLINER_DATA_META',
'name': 'AssignSlimeShader',
'description': ''
},
]
},
{
'label': 'Transform',
'icon': 'EMPTY_AXIS',
'items': [
{
'label': 'Transform',
'icon': 'EMPTY_AXIS',
'name': 'Transform',
'description': ''
},
{
'label': 'Transform Parent',
'icon': 'ORIENTATION_PARENT',
'name': 'TransformParent',
'description': ''
},
{
'label': 'ReCenter',
'icon': 'PROP_CON',
'name': 'ReCenter',
'description': ''
}
]
},
{
'label': 'Cutters',
'icon': 'MOD_BEVEL',
'items': [
{
'label': 'Cut',
'icon': 'MOD_BEVEL',
'name': 'Cut',
'description': ''
},
"separator",
{
'label': 'Primitive Cutter',
'icon': 'MOD_LINEART',
'name': 'PrimitiveCutter',
'description': ''
},
{
'label': 'Object Cutter',
'icon': 'MESH_PLANE',
'name': 'ObjectCutter',
'description': ''
}
]
},
{
'label': 'Utils',
'icon': 'MODIFIER',
'items': [
{
'label': 'Pick Surface',
'icon': 'OUTLINER_OB_MESH',
'name': 'PickSurface',
'description': ''
},
{
'label': 'Pick Volume',
'icon': 'OUTLINER_OB_VOLUME',
'name': 'PickVolume',
'description': ''
},
{
'label': 'Pick Shape Wire',
'icon': 'FILE_VOLUME',
'name': 'PickShapeWire',
'description': ''
},
{
'label': 'Pick Bbox Wire',
'icon': 'MESH_CUBE',
'name': 'PickBboxWire',
'description': ''
},
"separator",
{
'label': 'Inflate',
'icon': 'OUTLINER_OB_META',
'name': 'Inflate',
'description': ''
},
{
'label': 'Smooth',
'icon': 'MOD_SMOOTH',
'name': 'Smooth',
'description': ''
},
{
'label': 'Remove Small Island',
'icon': 'FORCE_LENNARDJONES',
'name': 'RemoveSmallIsland',
'description': ''
}
]
}
]

View File

@@ -1 +0,0 @@
from .menus import CustomNodes

View File

@@ -1,197 +0,0 @@
import shutil
import bpy
from pathlib import Path
from .nodes import AddCustomNode
class SaveAllNodes(bpy.types.Operator):
bl_idname = "customnodes.save_all_nodes"
bl_label = "Save All Custom Nodes"
bl_description = "Save All Custom Nodes to Directory."
bl_options = {'UNDO'}
def execute(self, context):
files = []
for classname in dir(bpy.types):
if "CUSTOMNODES_MT_NODES_" in classname:
cls = getattr(bpy.types, classname)
files.append(cls.nodes_file)
files = list(set(files))
for file in files:
file_name = Path(file).name
# "//"
custom_nodes_dir = bpy.path.abspath(context.scene.custom_nodes_dir)
output_path: Path = Path(custom_nodes_dir, file_name).resolve()
source_path: Path = Path(file).resolve()
if output_path != source_path:
shutil.copy(source_path, output_path)
for lib in bpy.data.libraries:
lib_path = str(Path(bpy.path.abspath(lib.filepath)).resolve())
if lib_path == file:
blend_path = Path(bpy.path.abspath("//")).resolve()
lib.filepath = bpy.path.relpath(
str(output_path), start=str(blend_path))
self.report({"INFO"}, f"Successfully saved to {output_path}")
return {'FINISHED'}
class CUSTOMNODES_PT_CustomNodes(bpy.types.Panel):
bl_idname = "CUSTOMNODES_PT_CustomNodes"
bl_label = "Custom Nodes"
bl_space_type = "PROPERTIES"
bl_region_type = "WINDOW"
bl_context = "scene"
def draw(self, context):
layout = self.layout
scene = context.scene
layout.prop(scene, 'custom_nodes_dir')
layout.operator(SaveAllNodes.bl_idname)
class CustomNodes():
def __init__(
self,
menu_items,
nodes_file,
root_label='CustomNodes',
root_icon='NONE'
) -> None:
if not Path(nodes_file).is_file():
raise FileNotFoundError(str(Path(nodes_file).resolve()))
self.menu_items = menu_items
self.nodes_file = str(Path(nodes_file).resolve())
self.root_label = root_label
self.root_icon = root_icon
menu_classes = []
self._create_menu_class(
items=menu_items,
label=root_label,
menu_classes=menu_classes
)
self.menu_classes = menu_classes
idname = f"CUSTOMNODES_MT_NODES_{root_label.replace(' ', '').upper()}"
def add_node_menu(self, context):
if ('GeometryNodeTree' == bpy.context.area.spaces[0].tree_type):
layout = self.layout
layout.separator()
layout.menu(idname, icon=root_icon)
self.add_node_menu = add_node_menu
def _create_menu_class(self, menu_classes, items, label='CustomNodes', icon=0, idname_namespace=None):
nodes_file = self.nodes_file
idname_namespace = idname_namespace or "CUSTOMNODES_MT_NODES"
idname = f"{idname_namespace}_{label.replace(' ', '').upper()}"
# create submenu class if item is menu.
for item in items:
item_items = item.get('items') if item != 'separator' else None
if item_items:
menu_class = self._create_menu_class(
menu_classes=menu_classes,
items=item_items,
label=item.get('label') or 'CustomNodes',
icon=item.get('icon') or 0,
idname_namespace=idname
)
item['menu_class'] = menu_class
# create menu class
class Menu(bpy.types.Menu):
bl_idname = idname
bl_label = label
nodes_file = self.nodes_file
def draw(self, context):
layout = self.layout
for item in items:
# print(item)
if item == "separator":
layout.separator()
elif item.get('menu_class'):
layout.menu(
item.get('menu_class').bl_idname,
icon=item.get('icon') or 'NONE'
)
else:
op = layout.operator(
'customnodes.add_custom_node',
text=item.get('label'),
icon=item.get('icon') or 'NONE'
)
op.nodes_file = nodes_file
op.node_type = item['node_type']
op.node_label = item.get('label') or ""
op.node_description = item.get(
'node_description') or "Add Custom Node."
op.node_link = item.get('link') or True
op.node_callback = item.get('node_callback') or ""
menu_classes.append(Menu)
return Menu
def _find_item(self, found_items, menu_items, node_type: str):
for item in menu_items:
if item == 'separator':
continue
if item.get("node_type") == node_type:
found_items.append(item)
item_items = item.get('items')
if item_items:
self._find_item(found_items, item_items, node_type)
def find_item(self, node_type: str):
found_items = []
self._find_item(found_items, self.menu_items, node_type)
return found_items[0] if len(found_items) > 0 else None
def add_node(self, node_tree, node_type: str):
item = self.find_item(node_type)
op = AddCustomNode()
op.nodes_file = self.nodes_file
op.node_type = node_type
if item:
op.node_label = item.get('label') or ""
op.node_link = item.get('link') or True
op.node_callback = item.get('node_callback') or ""
else:
op.node_label = ""
op.node_link = True
op.node_callback = ""
return op.add_node(node_tree)
def register(self):
for cls in self.menu_classes:
bpy.utils.register_class(cls)
bpy.types.NODE_MT_add.append(self.add_node_menu)
bpy.types.Scene.custom_nodes_dir = bpy.props.StringProperty(
name="Nodes Directory",
subtype='DIR_PATH',
default="//"
)
def unregister(self):
bpy.types.NODE_MT_add.remove(self.add_node_menu)
try:
for cls in reversed(self.menu_classes):
bpy.utils.unregister_class(cls)
except RuntimeError:
pass

View File

@@ -1,120 +0,0 @@
import bpy
class AddCustomNode():
nodes_file: bpy.props.StringProperty(
name="nodes_file",
subtype='FILE_PATH',
default=""
) # type: ignore
node_type: bpy.props.StringProperty(
name='node_type',
description='',
default='',
subtype='NONE',
maxlen=0
) # type: ignore
node_label: bpy.props.StringProperty(
name='node_label',
default=''
) # type: ignore
node_description: bpy.props.StringProperty(
name="node_description",
description="",
default="Add custom node group.",
subtype="NONE"
) # type: ignore
node_link: bpy.props.BoolProperty(
name='node_link',
default=True
) # type: ignore
node_callback: bpy.props.StringProperty(
name='node_callback',
default=''
) # type: ignore
@classmethod
def description(cls, context, properties):
return properties.node_description
def assign_node_tree(self, node):
node.node_tree = bpy.data.node_groups[self.node_type]
node.width = 200.0
node.label = self.node_label or self.node_type
node.name = self.node_type
if self.node_callback:
exec(self.node_callback)
return node
def get_node_tree(self, node_type, node_link):
# try to get node from current file if exists
node_tree = bpy.data.node_groups.get(node_type)
# if not exists, get it from asset file.
if not node_tree:
bpy.ops.wm.append(
'EXEC_DEFAULT',
directory=f"{self.nodes_file}/NodeTree",
filename=node_type,
link=node_link,
use_recursive=True
)
node_tree = bpy.data.node_groups.get(node_type)
if node_tree:
# self.recursive_append_material(node_tree)
return node_tree
else:
raise RuntimeError('No custom node found')
def recursive_append_material(self, node_tree):
for child in node_tree.nodes:
material_socket = child.inputs.get('Material')
if material_socket:
print(material_socket.default_value)
try:
self.recursive_append_material(child.node_tree)
except:
...
def add_node(self, node_tree):
self.get_node_tree(self.node_type, self.node_link)
node = node_tree.new("GeometryNodeGroup")
self.assign_node_tree(node)
return node
class CUSTOMNODES_OT_Add_Custom_Node(bpy.types.Operator, AddCustomNode):
bl_idname = "customnodes.add_custom_node"
bl_label = "Add Custom Node"
bl_options = {"REGISTER", "UNDO"}
def execute(self, context):
self.get_node_tree(self.node_type, self.node_link)
# intended to be called upon button press in the node tree
prev_context = bpy.context.area.type
bpy.context.area.type = 'NODE_EDITOR'
# actually invoke the operator to add a node to the current node tree
# use_transform=True ensures it appears where the user's mouse is and is currently
# being moved so the user can place it where they wish
bpy.ops.node.add_node(
'INVOKE_DEFAULT',
type='GeometryNodeGroup',
use_transform=True
)
bpy.context.area.type = prev_context
node = bpy.context.active_node
self.assign_node_tree(node)
return {"FINISHED"}

22
bioxelnodes/exceptions.py Normal file
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class CancelledByUser(Exception):
def __init__(self):
message = 'Cancelled by user'
super().__init__(message)
class NoContent(Exception):
def __init__(self, message):
super().__init__(message)
self.message = message
class NoFound(Exception):
def __init__(self, message):
super().__init__(message)
self.message = message
class Incompatible(Exception):
def __init__(self, message):
super().__init__(message)
self.message = message

View File

@@ -1,2 +0,0 @@
from .preferences import ExternalPackagePreferences
from .package import PackageInstaller

View File

@@ -1,393 +0,0 @@
"""
Handling installation of external python packages inside of Blender's bundled python.
"""
import subprocess
import sys
import logging
from importlib.metadata import version as get_version, PackageNotFoundError
import bpy
from pathlib import Path
ADDON_NAME = __package__.split(".")[0]
PYPI_MIRROR = {
# the original.
'Default': '',
# two mirrors in China Mainland to help those poor victims under GFW.
'BFSU (Beijing)': 'https://mirrors.bfsu.edu.cn/pypi/web/simple',
'TUNA (Beijing)': 'https://pypi.tuna.tsinghua.edu.cn/simple',
# append more if necessary.
}
class InstallationError(Exception):
"""
Exception raised when there is an error installing a package.
Attributes
----------
package_name : str
The name of the package that failed to install.
error_message : str
The error message returned by pip.
"""
def __init__(self, package_name, error_message):
self.package_name = package_name
self.error_message = error_message
super().__init__(f"Failed to install {package_name}: {error_message}")
class PackageInstaller():
def __init__(
self,
requirements_dir: str,
log_dir: str = None,
pypi_mirror_provider='Default',
) -> None:
self.pypi_mirror_provider = pypi_mirror_provider
self.log_path: Path = Path(log_dir) if log_dir \
else Path.home() / '.externalpackage' / 'logs'
self.requirements_path: Path = Path(requirements_dir)
def start_logging(self, logfile_name: str = 'side-packages-install') -> logging.Logger:
"""
Configure and start logging to a file.
Parameters
----------
logfile_name : str, optional
The name of the log file. Defaults to 'side-packages-install'.
Returns
-------
logging.Logger
A Logger object that can be used to write log messages.
This function sets up a logging configuration with a specified log file name and logging level.
The log file will be created in the `ADDON_DIR/logs` directory. If the directory
does not exist, it will be created. The function returns a Logger object that can be used to
write log messages.
"""
# Create the logs directory if it doesn't exist
self.log_path.mkdir(parents=True, exist_ok=True)
# Set up logging configuration
logfile_path = Path(self.log_path, f"{logfile_name}.log")
logging.basicConfig(filename=logfile_path,
level=logging.INFO, encoding='utf-8')
# Return logger object
return logging.getLogger()
@property
def pypi_mirror_url(self) -> str:
"""
Process a PyPI mirror provider and return the corresponding URL.
Parameters
----------
pypi_mirror_provider : str
The PyPI mirror provider to process.
Returns
-------
str
The URL of the PyPI mirror.
Raises
------
ValueError
If the provided PyPI mirror provider is invalid.
"""
if self.pypi_mirror_provider.startswith('https:'):
return self.pypi_mirror_provider
elif self.pypi_mirror_provider in PYPI_MIRROR.keys():
return PYPI_MIRROR[self.pypi_mirror_provider]
else:
raise ValueError(
f"Invalid PyPI mirror provider: {self.pypi_mirror_provider}")
@property
def packages(self) -> dict:
"""
Read a requirements file and extract package information into a dictionary.
Parameters
----------
requirements : str, optional
The path to the requirements file. If not provided, the function looks for a `requirements.txt`
file in the same directory as the script.
Returns
-------
dict
A dictionary containing package information. Each element of the dictionary is a dictionary containing the package name, version, and description.
Example
-------
Given the following requirements file:
```python
Flask==1.1.2 # A micro web framework for Python
pandas==1.2.3 # A fast, powerful, flexible, and easy-to-use data analysis and manipulation tool
numpy==1.20.1 # Fundamental package for scientific computing
```
The function would return the following dictionary:
```python
[
{
"package": "Flask",
"version": "1.1.2",
"description": "A micro web framework for Python"
},
{
"package": "pandas",
"version": "1.2.3",
"description": "A fast, powerful, flexible, and easy-to-use data analysis and manipulation tool"
},
{
"package": "numpy",
"version": "1.20.1",
"description": "Fundamental package for scientific computing"
}
]
```
"""
requirements_filepath = self.requirements_path / "requirements.txt"
if requirements_filepath.is_file():
with requirements_filepath.open('r') as f:
lines = f.read().splitlines()
packages = {}
for line in lines:
try:
package, description = line.split('#')
package_meta = package.split('==')
name = package_meta[0].strip()
packages[name] = {
"name": name,
"version": package_meta[1].strip(),
"description": description.strip()
}
except ValueError:
# Skip line if it doesn't have the expected format
pass
return packages
else:
raise FileNotFoundError(requirements_filepath)
def is_installed(self, package_name: str) -> bool:
"""
Check if the specified package is installed and the version matches that specified
in the `requirements.txt` file.
Parameters
----------
package : str
The name of the package to check.
Returns
-------
bool
True if the package is the current version, False otherwise.
"""
package = self.packages.get(package_name)
try:
available_version = get_version(package['name'])
return available_version == package['version']
except PackageNotFoundError:
return False
def run_python(self, cmd_list: list = None, timeout: int = 600):
"""
Runs pip command using the specified command list and returns the command output.
Parameters
----------
cmd_list : list, optional
List of pip commands to be executed. Defaults to None.
mirror_url : str, optional
URL of a package repository mirror to be used for the command. Defaults to ''.
timeout : int, optional
Time in seconds to wait for the command to complete. Defaults to 600.
Returns
-------
tuple
A tuple containing the command list, command return code, command standard output,
and command standard error.
Example
-------
Install numpy using pip and print the command output
```python
cmd_list = ["-m", "pip", "install", "numpy"]
mirror_url = 'https://pypi.org/simple/'
cmd_output = run_python(cmd_list, timeout=300)
print(cmd_output)
```
"""
# path to python.exe
python_exe = str(Path(sys.executable).resolve())
# build the command list
cmd_list = [python_exe] + cmd_list
# add mirror to the command list if it's valid
if self.pypi_mirror_url and self.pypi_mirror_url.startswith('https'):
cmd_list += ['-i', self.pypi_mirror_url]
log = self.start_logging()
log.info(f"Running Pip: '{cmd_list}'")
# run the command and capture the output
result = subprocess.run(cmd_list, timeout=timeout,
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
try:
if result.returncode != 0:
log.error('Command failed: %s', cmd_list)
log.error('stdout: %s', result.stdout.decode())
log.error('stderr: %s', result.stderr.decode(errors='ignore'))
else:
log.info('Command succeeded: %s', cmd_list)
log.info('stdout: %s', result.stdout.decode())
except:
...
# return the command list, return code, stdout, and stderr as a tuple
return result
def install_package(self, package: str) -> list:
"""
Install a Python package and its dependencies using pip.
Parameters
----------
package : str
The name of the package to install.
pypi_mirror_provider : str, optional
The name/url of the PyPI mirror provider to use. Default is 'Default'.
Returns
-------
list
A list of tuples containing the command list, return code, stdout, and stderr
for each pip command run.
Raises
------
ValueError
If the package name is not provided.
Example
-------
To install the package 'requests' from the PyPI mirror 'MyMirror', use:
```
install_package('requests', 'MyMirror')
```
"""
if not package:
raise ValueError("Package name must be provided.")
print(f"Installing {package}...")
print(f"Using PyPI mirror: {self.pypi_mirror_provider}")
self.run_python(["-m", "ensurepip"]),
self.run_python(["-m", "pip", "install", "--upgrade", "pip"])
result = self.run_python(["-m", "pip", "install", package, "--user"])
return result
def install_all_packages(self, pypi_mirror_provider: str = 'Default') -> list:
"""
Install all packages listed in the 'requirements.txt' file.
Parameters
----------
pypi_mirror_provider : str, optional
The PyPI mirror to use for package installation. Defaults to 'Default',
which uses the official PyPI repository.
Returns
-------
list
A list of tuples containing the installation results for each package.
Raises
------
InstallationError
If there is an error during package installation.
Example
-------
To install all packages listed in the 'requirements.txt' file, run the following command:
```
install_all_packages(pypi_mirror_provider='https://pypi.org/simple/')
```
"""
results = []
for package in self.packages.items():
try:
result = self.install_package(
package=f"{package.get('name')}=={package.get('version')}"
)
results.append(result)
except InstallationError as e:
raise InstallationError(
f"Error installing package {package.get('name')}: {str(e)}")
return results
class EXTERNALPACKAGE_OT_Install_Package(bpy.types.Operator):
bl_idname = 'externalpackage.install_package'
bl_label = 'Install Given Python Package'
bl_options = {'REGISTER', 'INTERNAL'}
package: bpy.props.StringProperty(
name='Python Package',
description='Python Package to Install'
) # type: ignore
version: bpy.props.StringProperty(
name='Python Package',
description='Python Package to Install'
) # type: ignore
description: bpy.props.StringProperty(
name='Operator description',
default='Install specified python package.'
) # type: ignore
@classmethod
def description(cls, context, properties):
return properties.description
def execute(self, context):
preferences = context.preferences.addons[ADDON_NAME].preferences
installer = PackageInstaller(
pypi_mirror_provider=preferences.pypi_mirror_provider,
log_dir=preferences.log_dir,
requirements_dir=preferences.requirements_dir
)
result = installer.install_package(f"{self.package}=={self.version}")
if result.returncode == 0 or installer.is_installed(self.package):
self.report(
{'INFO'},
f"Successfully installed {self.package} v{self.version}"
)
else:
self.report(
{'ERROR'},
f"""Error installing package. Please check the log files
in {preferences.log_dir}."""
)
return {'FINISHED'}

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@@ -1,95 +0,0 @@
import bpy
import subprocess
from pathlib import Path
from .package import PackageInstaller, PYPI_MIRROR
# Defines the preferences panel for the addon, which shows the buttons for
# installing and reinstalling the required python packages defined in 'requirements.txt'
def get_pypi_mirrors(self, context, edit_text):
return PYPI_MIRROR.keys()
class RebootBlender(bpy.types.Operator):
bl_idname = "externalpackage.reboot_blender"
bl_label = "Reboot Blender"
bl_description = "Reboot Blender"
bl_options = {'UNDO'}
def invoke(self, context, event):
context.window_manager.invoke_confirm(self, event)
return {'RUNNING_MODAL'}
def execute(self, context):
blender_launcher = Path(
bpy.app.binary_path).parent / "blender-launcher.exe"
subprocess.run([str(blender_launcher), "-con", "--python-expr",
"import bpy; bpy.ops.wm.recover_last_session()"])
bpy.ops.wm.quit_blender()
return {'FINISHED'}
class ExternalPackagePreferences():
requirements_dir: bpy.props.StringProperty(
name="requirements.txt Directory",
subtype='DIR_PATH',
default=str(Path(__file__).parent)
) # type: ignore
log_dir: bpy.props.StringProperty(
name="Python Log Directory",
subtype='DIR_PATH',
default=str(Path(Path.home(), '.externalpackage', 'logs'))
) # type: ignore
pypi_mirror_provider: bpy.props.StringProperty(
name='pypi_mirror_provider',
description='PyPI Mirror Provider',
options={'TEXTEDIT_UPDATE', 'LIBRARY_EDITABLE'},
default='Default',
subtype='NONE',
search=get_pypi_mirrors,
) # type: ignore
def draw(self, context):
layout = self.layout
layout.label(
text='**Install the required packages, then hit "Reboot Blender"**')
col_main = layout.column(heading='', align=False)
row_import = col_main.row()
row_import.prop(self, 'pypi_mirror_provider', text='PyPI Mirror')
installer = PackageInstaller(
pypi_mirror_provider=self.pypi_mirror_provider,
log_dir=self.log_dir,
requirements_dir=self.requirements_dir
)
for package in installer.packages.values():
name = package.get('name')
version = package.get('version')
description = package.get('description')
if installer.is_installed(name):
row = layout.row()
row.label(text=f"{name} version {version} is installed.")
op = row.operator('externalpackage.install_package',
text=f'Reinstall {name}')
op.package = name
op.version = version
op.description = f'Reinstall {name}'
else:
row = layout.row(heading=f"Package: {name}")
col = row.column()
col.label(text=str(description))
col = row.column()
op = col.operator('externalpackage.install_package',
text=f'Install {name}')
op.package = name
op.version = version
op.description = f'Install required python package: {name}'
layout.operator(RebootBlender.bl_idname)

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@@ -1,805 +0,0 @@
import bpy
import shutil
from bpy_extras.io_utils import axis_conversion
import pyopenvdb as vdb
import numpy as np
from pathlib import Path
from uuid import uuid4
import mathutils
from .nodes import custom_nodes
from .props import BIOXELNODES_Series
from .utils import (calc_bbox_verts, get_container, get_layer, get_text_index_str,
get_node_by_type, hide_in_ray, lock_transform, show_message)
try:
import SimpleITK as sitk
except:
...
SUPPORT_EXTS = ['.dcm', '.DCM', '.DICOM',
'.bmp', '.BMP',
'.PIC', '.pic',
'.gipl', '.gipl.gz',
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.lsm', '.LSM',
'.tif', '.TIF', '.tiff', '.TIFF',
'.mnc', '.MNC',
'.mrc', '.rec',
'.mha', '.mhd',
'.hdf', '.h4', '.hdf4', '.he2', '.h5', '.hdf5', '.he5',
'.nia', '.nii', '.nii.gz', '.hdr', '.img', '.img.gz',
'.nrrd', '.nhdr',
'.png', '.PNG',
'.vtk']
SEQUENCE_EXTS = ['.dcm', '.DCM', '.DICOM',
'.bmp', '.BMP',
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.tif', '.TIF', '.tiff', '.TIFF',
'.png', '.PNG']
DICOM_EXTS = ['.dcm', '.DCM', '.DICOM']
FH_EXTS = ['.dcm', '.DCM', '.DICOM',
'.gipl', '.gipl.gz',
'.mnc', '.MNC',
'.mrc', '.rec',
'.mha', '.mhd',
'.nia', '.nii', '.nii.gz', '.hdr', '.img', '.img.gz',
'.hdf', '.h4', '.hdf4', '.he2', '.h5', '.hdf5', '.he5',
'.nrrd', '.nhdr',
'.vtk',
'.gz']
def get_layer_shape(bioxel_size: float, orig_shape: tuple, orig_spacing: tuple):
shape = (int(orig_shape[0] / bioxel_size * orig_spacing[0]),
int(orig_shape[1] / bioxel_size * orig_spacing[1]),
int(orig_shape[2] / bioxel_size * orig_spacing[2]))
return (shape[0] if shape[0] > 0 else 1,
shape[1] if shape[1] > 0 else 1,
shape[2] if shape[2] > 0 else 1)
def get_ext(filepath: str) -> str:
file_path = Path(filepath)
if file_path.name.endswith(".nii.gz"):
return ".nii.gz"
elif file_path.name.endswith(".img.gz"):
return ".img.gz"
elif file_path.name.endswith(".gipl.gz"):
return ".gipl.gz"
else:
return file_path.suffix
def get_sequence_name(filepath: str) -> str:
ext = get_ext(filepath)
filename = Path(filepath).name.removesuffix(ext)
index: str = get_text_index_str(filename)
return filename.removesuffix(index)
def get_sequence_index(filepath: str) -> int:
ext = get_ext(filepath)
filename = Path(filepath).name.removesuffix(ext)
index: str = get_text_index_str(filename)
return int(index) if index else 0
def collect_image_sequence(filepath: str):
file_path = Path(filepath).resolve()
files = list(file_path.parent.iterdir())
files = [f for f in files if f.is_file()
and get_ext(file_path) == get_ext(f)
and get_sequence_name(file_path) == get_sequence_name(f)]
files.sort(key=get_sequence_index)
sequence = [str(f) for f in files]
return sequence
def read_image(filepath: str, series_id=""):
ext = get_ext(filepath)
if ext in DICOM_EXTS:
dir_path = Path(filepath).resolve().parent
reader = sitk.ImageSeriesReader()
reader.MetaDataDictionaryArrayUpdateOn()
reader.LoadPrivateTagsOn()
series_files = reader.GetGDCMSeriesFileNames(
str(dir_path), series_id)
reader.SetFileNames(series_files)
image = reader.Execute()
name = dir_path.name
elif ext in SEQUENCE_EXTS:
image = sitk.ReadImage(filepath)
if image.GetDimension() == 2:
sequence = collect_image_sequence(filepath)
image = sitk.ReadImage(sequence)
name = get_sequence_name(filepath)
else:
image = sitk.ReadImage(filepath)
name = Path(filepath).name.removesuffix(ext)
else:
image = sitk.ReadImage(filepath)
name = Path(filepath).name.removesuffix(ext)
return image, name
def rgb2gray(image):
# Convert sRGB image to gray scale and rescale results to [0,255]
layers = [sitk.VectorIndexSelectionCast(
image, i, sitk.sitkFloat32) for i in range(image.GetNumberOfComponentsPerPixel())]
# linear mapping
I = (0.2126*layers[0] + 0.7152*layers[1] + 0.0722*layers[2])
return sitk.Cast(I, sitk.sitkFloat32)
def x2gray(image):
return sitk.VectorIndexSelectionCast(image, 0, sitk.sitkUInt16)
class ImportVolumeDataDialog(bpy.types.Operator):
bl_idname = "bioxelnodes.import_volume_data_dialog"
bl_label = "Volume Data as Bioxel Layer"
bl_description = "Import Volume Data as Bioxel Layer"
bl_options = {'UNDO'}
filepath: bpy.props.StringProperty(
subtype="FILE_PATH"
) # type: ignore
container_name: bpy.props.StringProperty(
name="Container Name"
) # type: ignore
layer_name: bpy.props.StringProperty(
name="Layer Name",
) # type: ignore
series_id: bpy.props.StringProperty() # type: ignore
resample_method: bpy.props.EnumProperty(
name="Resample Method",
default="linear",
items=[("linear", "Linear", ""),
("nearest_neighbor", "Nearest Neighbor", ""),
("gaussian", "Gaussian", "")]
) # type: ignore
container: bpy.props.StringProperty() # type: ignore
read_as: bpy.props.EnumProperty(
name="Read as",
default="scalar",
items=[("scalar", "Scalar", ""),
("labels", "Labels", "")]
) # type: ignore
bioxel_size: bpy.props.FloatProperty(
name="Bioxel Size (Larger size means small resolution)",
soft_min=0.1, soft_max=10.0,
min=0.1, max=1e2,
default=1,
) # type: ignore
orig_spacing: bpy.props.FloatVectorProperty(
name="Original Spacing",
default=(1, 1, 1),
) # type: ignore
orig_shape: bpy.props.IntVectorProperty(
name="Original Shape",
default=(100, 100, 100)
) # type: ignore
scene_scale: bpy.props.FloatProperty(
name="Scene Scale (Bioxel Unit pre Blender Unit)",
soft_min=0.001, soft_max=100.0,
min=1e-6, max=1e6,
default=0.01,
) # type: ignore
do_orient: bpy.props.BoolProperty(
name="Orient to RAS",
default=True,
) # type: ignore
invert_scalar: bpy.props.BoolProperty(
name="Invert Scalar (Background value maybe higher than object)",
default=False,
) # type: ignore
def execute(self, context):
image, name = read_image(self.filepath, self.series_id)
container_name = self.container_name or name
bioxel_size = self.bioxel_size
orig_spacing = self.orig_spacing
image_spacing = image.GetSpacing()
image_shape = image.GetSize()
layer_spacing = (
image_spacing[0] / orig_spacing[0] * bioxel_size,
image_spacing[1] / orig_spacing[1] * bioxel_size,
image_spacing[2] / orig_spacing[2] * bioxel_size
)
layer_shape = get_layer_shape(
bioxel_size, image_shape, orig_spacing)
if self.read_as == "labels":
if "vector" in image.GetPixelIDTypeAsString():
print("Conveting to Grayscale...")
image = x2gray(image)
else:
image = sitk.Cast(image, sitk.sitkUInt16)
default_value = 0
elif self.read_as == "scalar":
if "vector" in image.GetPixelIDTypeAsString():
print("Conveting to Grayscale...")
image = rgb2gray(image)
else:
image = sitk.Cast(image, sitk.sitkFloat32)
stats = sitk.StatisticsImageFilter()
stats.Execute(image)
default_value = stats.GetMaximum() if self.invert_scalar else stats.GetMinimum()
if self.resample_method == "linear":
interpolator = sitk.sitkLinear
elif self.resample_method == "nearest_neighbor":
interpolator = sitk.sitkNearestNeighbor
elif self.resample_method == "gaussian":
interpolator = sitk.sitkGaussian
if self.read_as == "labels":
interpolator = sitk.sitkNearestNeighbor
print(f"Resampling...")
image = sitk.Resample(
image1=image,
size=layer_shape,
transform=sitk.Transform(),
interpolator=interpolator,
outputOrigin=image.GetOrigin(),
outputSpacing=layer_spacing,
outputDirection=image.GetDirection(),
defaultPixelValue=default_value,
outputPixelType=image.GetPixelID(),
)
if self.do_orient:
print("Orienting to RAS...")
image = sitk.DICOMOrient(image, 'RAS')
print("Oriented Origin:", image.GetOrigin())
print("Oriented Direction:", image.GetDirection())
# return {'FINISHED'}
# ITK indices, by convention, are [i,j,k] while NumPy indices are [k,j,i]
# https://www.slicer.org/wiki/Coordinate_systems
# ITK Numpy 3D
# R (ight) i -> k -> x
# A (nterior) j -> j -> y
# S (uperior) k -> i -> z
array = sitk.GetArrayFromImage(image)
orig_dtype = str(array.dtype)
# print(f"Coverting Dtype from {orig_dtype} to float...")
# array = array.astype(float)
if array.ndim == 4:
array = array[:, :, :, 0]
array = np.transpose(array)
# After sitk.DICOMOrient(), origin and direction will also orient base on LPS
# so we need to convert them into RAS
mat_lps2ras = axis_conversion(
from_forward='-Z',
from_up='-Y',
to_forward='-Z',
to_up='Y'
).to_4x4()
origin = image.GetOrigin()
direction = image.GetDirection()
mat_location = mathutils.Matrix.Translation(
mathutils.Vector(origin)
)
mat_rotation = mathutils.Matrix(
np.array(direction).reshape((3, 3))
).to_4x4()
mat_scale = mathutils.Matrix.Scale(
bioxel_size, 4
)
transfrom = mat_lps2ras @ mat_location @ mat_rotation @ mat_scale \
if self.do_orient else mat_location @ mat_rotation @ mat_scale
# Wrapper a Container
if not self.container:
# Make transformation
scene_scale = float(self.scene_scale)
# (S)uperior -Z -> Y
# (A)osterior Y -> Z
mat_ras2blender = axis_conversion(
from_forward='-Z',
from_up='Y',
to_forward='Y',
to_up='Z'
).to_4x4()
mat_scene_scale = mathutils.Matrix.Scale(
scene_scale, 4
)
bpy.ops.mesh.primitive_cube_add(
enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1)
)
container = bpy.context.active_object
bbox_verts = calc_bbox_verts((0, 0, 0), array.shape)
for index, vert in enumerate(container.data.vertices):
bbox_transform = transfrom
vert.co = bbox_transform @ mathutils.Vector(bbox_verts[index])
container.matrix_world = mat_ras2blender @ mat_scene_scale
container.name = container_name
container.data.name = container_name
container['bioxel_container'] = True
container['scene_scale'] = scene_scale
bpy.ops.node.new_geometry_nodes_modifier()
container_node_tree = container.modifiers[0].node_group
input_node = get_node_by_type(container_node_tree.nodes,
'NodeGroupInput')[0]
container_node_tree.links.remove(input_node.outputs[0].links[0])
# bpy.ops.mesh.primitive_cube_add(
# enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1)
# )
# frame = bpy.context.active_object
# bbox_verts = calc_bbox_verts((0, 0, 0), array.shape)
# for index, vert in enumerate(frame.data.vertices):
# # bbox_transform = mat_ras2blender @ mat_scene_scale @ transfrom
# bbox_transform = transfrom
# vert.co = bbox_transform @ mathutils.Vector(bbox_verts[index])
# frame.name = f"Frame_{container_name}"
# frame.data.name = f"Frame_{container_name}"
# lock_transform(frame)
# hide_in_ray(frame)
# frame.hide_select = True
# frame.hide_render = True
# frame.display_type = 'WIRE'
# frame.parent = container
else:
container = bpy.data.objects[self.container]
container_node_tree = container.modifiers[0].node_group
preferences = context.preferences.addons[__package__].preferences
cache_dir = Path(preferences.cache_dir, 'VDBs')
cache_dir.mkdir(parents=True, exist_ok=True)
loc, rot, sca = transfrom.decompose()
layer_origin = tuple(loc)
layer_rotation = tuple(rot.to_euler())
layer_shape = tuple(array.shape)
def create_layer(array, layer_name, layer_type="scalar"):
grid = vdb.FloatGrid()
array = array.copy().astype(float)
grid.copyFromArray(array)
grid.transform = vdb.createLinearTransform(transfrom.transposed())
grid.name = layer_type
vdb_path = Path(cache_dir, f"{uuid4()}.vdb")
print(f"Storing the cache ({str(vdb_path)})...")
vdb.write(str(vdb_path), grids=[grid])
# Read VDB
print(f"Loading the cache to Blender scene...")
bpy.ops.object.volume_import(
filepath=str(vdb_path), align='WORLD', location=(0, 0, 0), scale=(1, 1, 1))
layer = bpy.context.active_object
# Set props to VDB object
layer.name = layer_name
layer.data.name = layer_name
lock_transform(layer)
hide_in_ray(layer)
layer.hide_select = True
layer.hide_render = True
layer.hide_viewport = True
layer.data.display.use_slice = True
layer.data.display.density = 1e-05
layer['bioxel_layer'] = True
layer['bioxel_layer_type'] = layer_type
layer.parent = container
for collection in layer.users_collection:
collection.objects.unlink(layer)
for collection in container.users_collection:
collection.objects.link(layer)
print(f"Creating layer ...")
bpy.ops.node.new_geometry_nodes_modifier()
node_tree = layer.modifiers[0].node_group
nodes = node_tree.nodes
links = node_tree.links
input_node = get_node_by_type(nodes, 'NodeGroupInput')[0]
output_node = get_node_by_type(nodes, 'NodeGroupOutput')[0]
to_layer_node = custom_nodes.add_node(nodes, "BioxelNodes__ConvertToLayer")
links.new(input_node.outputs[0], to_layer_node.inputs[0])
links.new(to_layer_node.outputs[0], output_node.inputs[0])
to_layer_node.inputs['Bioxel Size'].default_value = bioxel_size
to_layer_node.inputs['Shape'].default_value = layer_shape
to_layer_node.inputs['Origin'].default_value = layer_origin
to_layer_node.inputs['Rotation'].default_value = layer_rotation
return layer
if self.read_as == "labels":
orig_max = int(np.max(array))
orig_min = int(np.min(array))
layer_name = self.layer_name or "Label"
for i in range(orig_max):
label = array == np.full_like(array, i+1)
layer = create_layer(array=label,
layer_name=f"{container_name}_{layer_name}_{i+1}",
layer_type="label")
output_node = get_node_by_type(container_node_tree.nodes,
'NodeGroupOutput')[0]
mask_node = custom_nodes.add_node(container_node_tree.nodes,
'BioxelNodes_MaskByLabel')
mask_node.inputs[0].default_value = layer
if len(output_node.inputs[0].links) == 0:
container_node_tree.links.new(mask_node.outputs[0],
output_node.inputs[0])
else:
if self.invert_scalar:
array = -array
orig_max = float(np.max(array))
orig_min = float(np.min(array))
orig_median = float(np.median(array))
orig_percentile80 = float(np.percentile(array, 80)) \
if self.invert_scalar else float(np.percentile(array, 80))
stats_table = [("Max", orig_max),
("Min", orig_min),
("Median", orig_median),
("80%", orig_percentile80)]
print("Volume Data Stats:")
for stats in stats_table:
print("| {: >10} | {: >40} |".format(*stats))
scalar_offset = 0
if orig_min < 0:
scalar_offset = -orig_min
array = array + np.full_like(array, scalar_offset)
layer_name = self.layer_name or "Scalar"
layer = create_layer(array=array,
layer_name=f"{container_name}_{layer_name}",
layer_type="scalar")
layer_node_tree = layer.modifiers[0].node_group
to_layer_node = layer_node_tree.nodes['BioxelNodes__ConvertToLayer']
to_layer_node.inputs['Scalar Offset'].default_value = scalar_offset
to_layer_node.inputs['Scalar Max'].default_value = orig_max
to_layer_node.inputs['Scalar Min'].default_value = orig_min
output_node = get_node_by_type(container_node_tree.nodes,
'NodeGroupOutput')[0]
mask_node = custom_nodes.add_node(container_node_tree.nodes,
'BioxelNodes_MaskByThreshold')
mask_node.inputs[0].default_value = layer
if len(output_node.inputs[0].links) == 0:
container_node_tree.links.new(mask_node.outputs[0],
output_node.inputs[0])
bpy.context.view_layer.objects.active = container
# Change render setting for better result
if preferences.do_change_render_setting:
bpy.context.scene.render.engine = 'CYCLES'
bpy.context.scene.cycles.volume_bounces = 12
bpy.context.scene.cycles.transparent_max_bounces = 16
bpy.context.scene.cycles.volume_preview_step_rate = 10
self.report({"INFO"}, "Successfully Imported")
return {'FINISHED'}
def invoke(self, context, event):
context.window_manager.invoke_props_dialog(self, width=500)
return {'RUNNING_MODAL'}
def draw(self, context):
layer_shape = get_layer_shape(
self.bioxel_size, self.orig_shape, self.orig_spacing)
bioxel_count = layer_shape[0] * layer_shape[1] * layer_shape[2]
text = f"Shape will be: {str(layer_shape)} {bioxel_count:,} "
if bioxel_count > 100000000:
text += "**TOO LARGE!**"
layout = self.layout
panel = layout.box()
panel.prop(self, "container_name")
panel.prop(self, "layer_name")
panel = layout.box()
panel.prop(self, "resample_method")
panel.prop(self, "bioxel_size")
row = panel.row()
row.prop(self, "orig_spacing")
panel.label(text=text)
panel = layout.box()
panel.prop(self, "do_orient")
panel = layout.box()
panel.prop(self, "read_as")
if self.read_as == "labels":
...
else:
panel.prop(self, "invert_scalar")
panel = layout.box()
panel.prop(self, "scene_scale")
def get_series_ids(self, context):
items = []
for index, series_id in enumerate(self.series_ids):
items.append((
series_id.id,
series_id.label,
"",
index
))
return items
class ParseVolumeData(bpy.types.Operator):
bl_idname = "bioxelnodes.parse_volume_data"
bl_label = "Volume Data as Bioxel Layer"
bl_description = "Import Volume Data as Bioxel Layer"
bl_options = {'UNDO'}
filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
directory: bpy.props.StringProperty(subtype='DIR_PATH') # type: ignore
container: bpy.props.StringProperty() # type: ignore
series_id: bpy.props.EnumProperty(
name="Select Series",
items=get_series_ids
) # type: ignore
series_ids: bpy.props.CollectionProperty(
type=BIOXELNODES_Series) # type: ignore
def execute(self, context):
ext = get_ext(self.filepath)
if ext not in SUPPORT_EXTS:
self.report({"WARNING"}, "Not supported extension.")
return {'CANCELLED'}
print("Collecting Meta Data...")
image, name = read_image(self.filepath, self.series_id)
stats_table = [("Shape", str(image.GetSize())),
("Spacing", str(image.GetSpacing())),
("Origin", str(image.GetOrigin())),
("Direction", str(image.GetDirection())),
("Data Type", image.GetPixelIDTypeAsString())]
for k in image.GetMetaDataKeys():
stats_table.append((k, str(image.GetMetaData(k))))
print("Meta Data:")
for stats in stats_table:
print("| {: >20} | {: >100} |".format(*stats))
do_orient = ext not in SEQUENCE_EXTS or ext in DICOM_EXTS
orig_shape = image.GetSize()
orig_spacing = image.GetSpacing()
min_size = min(orig_spacing[0], orig_spacing[1], orig_spacing[2])
bioxel_size = max(min_size, 1.0)
if self.container:
container = bpy.data.objects[self.container]
container_name = container.name
else:
container_name = name
bpy.ops.bioxelnodes.import_volume_data_dialog(
'INVOKE_DEFAULT',
filepath=self.filepath,
container_name=container_name,
orig_shape=orig_shape,
orig_spacing=orig_spacing,
bioxel_size=bioxel_size,
series_id=self.series_id or "",
do_orient=do_orient,
container=self.container
)
self.report({"INFO"}, "Successfully Readed.")
return {'FINISHED'}
def modal(self, context, event):
self.execute(context)
return {'FINISHED'}
def invoke(self, context, event):
if not self.filepath and not self.directory:
return {'CANCELLED'}
show_message('Reading image data, it may take a while...',
'Please be patient...')
if get_ext(self.filepath) == '.dcm':
dir_path = Path(self.filepath).parent
reader = sitk.ImageSeriesReader()
reader.MetaDataDictionaryArrayUpdateOn()
reader.LoadPrivateTagsOn()
series_ids = reader.GetGDCMSeriesIDs(str(dir_path))
for _id in series_ids:
series_id = self.series_ids.add()
series_id.id = _id
series_id.label = _id
if len(series_ids) > 1:
context.window_manager.invoke_props_dialog(self, width=400)
return {'RUNNING_MODAL'}
else:
self.series_id = series_ids[0]
context.window_manager.modal_handler_add(self)
return {'RUNNING_MODAL'}
def draw(self, context):
layout = self.layout
layout.prop(self, "series_id")
layout.label(
text="Reading image data, it may take a while...")
layout.label(
text="Please be patient...")
class ImportVolumeData(bpy.types.Operator):
bl_idname = "bioxelnodes.import_volume_data"
bl_label = "Volume Data as Bioxel Layer"
bl_description = "Import Volume Data as Bioxel Layer"
bl_options = {'UNDO'}
filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
directory: bpy.props.StringProperty(subtype='DIR_PATH') # type: ignore
def execute(self, context):
bpy.ops.bioxelnodes.parse_volume_data(
'INVOKE_DEFAULT',
filepath=self.filepath,
directory=self.directory
)
return {'FINISHED'}
def invoke(self, context, event):
context.window_manager.fileselect_add(self)
return {'RUNNING_MODAL'}
try:
class BIOXELNODES_FH_ImportVolumeData(bpy.types.FileHandler):
bl_idname = "BIOXELNODES_FH_ImportVolumeData"
bl_label = "File handler for dicom import"
bl_import_operator = "bioxelnodes.parse_volume_data"
bl_file_extensions = ";".join(FH_EXTS)
@classmethod
def poll_drop(cls, context):
return (context.area and context.area.type == 'VIEW_3D')
except:
...
class AddVolumeData(bpy.types.Operator):
bl_idname = "bioxelnodes.add_volume_data"
bl_label = "Add Volume Data to Container"
bl_description = "Add Volume Data to Container"
bl_options = {'UNDO'}
filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
directory: bpy.props.StringProperty(subtype='DIR_PATH') # type: ignore
@classmethod
def poll(cls, context):
container = get_container(bpy.context.active_object)
return True if container else False
def execute(self, context):
container = get_container(bpy.context.active_object)
bpy.ops.bioxelnodes.parse_volume_data(
'INVOKE_DEFAULT',
filepath=self.filepath,
directory=self.directory,
container=container.name
)
return {'FINISHED'}
def invoke(self, context, event):
context.window_manager.fileselect_add(self)
return {'RUNNING_MODAL'}
class ExportVDB(bpy.types.Operator):
bl_idname = "bioxelnodes.export_vdb"
bl_label = "Bioxel Layer as VDB"
bl_description = "Export Bioxel Layer as VDB"
bl_options = {'UNDO'}
filepath: bpy.props.StringProperty(
subtype="FILE_PATH"
) # type: ignore
filename_ext = ".vdb"
@classmethod
def poll(cls, context):
layer = get_layer(bpy.context.active_object)
return True if layer else False
def invoke(self, context, event):
context.window_manager.fileselect_add(self)
return {'RUNNING_MODAL'}
def execute(self, context):
layer = get_layer(bpy.context.active_object)
filepath = f"{self.filepath.split('.')[0]}.vdb"
# "//"
source_dir = bpy.path.abspath(layer.data.filepath)
output_path: Path = Path(filepath).resolve()
source_path: Path = Path(source_dir).resolve()
# print('output_path', output_path)
# print('source_path', source_path)
shutil.copy(source_path, output_path)
self.report({"INFO"}, f"Successfully exported to {output_path}")
return {'FINISHED'}

View File

@@ -1,25 +0,0 @@
# TODO: WIP
import bpy
import bmesh
def create_points_obj(points, name="points"):
bpy.ops.mesh.primitive_cube_add(
enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1)
)
obj = bpy.context.active_object
mesh = obj.data
bm = bmesh.new()
value_layer = bm.verts.layers.float.new('value')
for point in points:
pos = point['pos']
value = point['value']
vert = bm.verts.new(pos) # add a new vert
vert[value_layer] = value
# make the bmesh the object's mesh
bm.to_mesh(mesh)
bm.free() # always do this when finished
return obj

View File

@@ -1,67 +1,381 @@
import bpy
from .operators import ConvertToMesh, JoinLayers
from .io import ExportVDB, ImportVolumeData, AddVolumeData
from .misc import SaveBioxelLayers
from .constants import MENU_ITEMS, NODE_LIB_FILENAME
from .node_menu import NodeMenu
from .bioxelutils.common import (get_container_obj,
get_container_layer_objs, get_layer_label,
get_layer_prop_value)
from .operators.layer import (FetchLayer, RelocateLayer, RetimeLayer, RenameLayer,
RemoveSelectedLayers, SaveSelectedLayersCache,
ResampleLayer, SignScalar, CombineLabels,
FillByLabel, FillByThreshold, FillByRange)
from .operators.container import (AddLocator, AddSlicer, ExtractShapeWire,
SaveContainerLayersCache, RemoveContainerMissingLayers,
SaveContainer, LoadContainer,
AddPieCutter, AddPlaneCutter,
AddCylinderCutter, AddCubeCutter, AddSphereCutter,
ExtractBboxWire, ExtractSurface, ExtractVolume, ContainerProps)
from .operators.io import (ImportAsLabel, ImportAsScalar, ImportAsColor)
from .operators.misc import (CleanTemp,
ReLinkNodeLib, RemoveAllMissingLayers, RenderSettingPreset, SaveAllLayersCache, SaveNodeLib, SliceViewer)
class View3DBioxelsMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_VIEW3D"
class FetchLayerMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_ADD_LAYER"
bl_label = "Fetch Layer"
def draw(self, context):
container_obj = get_container_obj(bpy.context.active_object)
layer_objs = get_container_layer_objs(container_obj)
layout = self.layout
for layer_obj in layer_objs:
op = layout.operator(FetchLayer.bl_idname,
text=get_layer_label(layer_obj))
op.layer_obj_name = layer_obj.name
class ExtractFromContainerMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_PICK"
bl_label = "Extract from Container"
def draw(self, context):
layout = self.layout
layout.operator(ExtractSurface.bl_idname)
layout.operator(ExtractVolume.bl_idname)
layout.operator(ExtractShapeWire.bl_idname)
layout.operator(ExtractBboxWire.bl_idname)
class AddCutterMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_CUTTERS"
bl_label = "Add a Cutter"
def draw(self, context):
layout = self.layout
layout.operator(AddPlaneCutter.bl_idname,
icon=AddPlaneCutter.bl_icon, text="Plane Cutter")
layout.operator(AddCylinderCutter.bl_idname,
icon=AddCylinderCutter.bl_icon, text="Cylinder Cutter")
layout.operator(AddCubeCutter.bl_idname,
icon=AddCubeCutter.bl_icon, text="Cube Cutter")
layout.operator(AddSphereCutter.bl_idname,
icon=AddSphereCutter.bl_icon, text="Sphere Cutter")
layout.operator(AddPieCutter.bl_idname,
icon=AddPieCutter.bl_icon, text="Pie Cutter")
class ImportLayerMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_IMPORTLAYER"
bl_label = "Import Volumetric Data (Init)"
bl_icon = "FILE_NEW"
def draw(self, context):
layout = self.layout
layout.operator(ImportAsScalar.bl_idname,
text="as Scalar")
layout.operator(ImportAsLabel.bl_idname,
text="as Label")
layout.operator(ImportAsColor.bl_idname,
text="as Color")
class AddLayerMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_ADDLAYER"
bl_label = "Import Volumetric Data (Add)"
bl_icon = "FILE_NEW"
def draw(self, context):
layout = self.layout
layout.operator(ImportAsScalar.bl_idname,
text="as Scalar")
layout.operator(ImportAsLabel.bl_idname,
text="as Label")
layout.operator(ImportAsColor.bl_idname,
text="as Color")
class ModifyLayerMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_MODIFYLAYER"
bl_label = "Modify Layer"
bl_icon = "FILE_NEW"
def draw(self, context):
layout = self.layout
layout.operator(SignScalar.bl_idname,
icon=SignScalar.bl_icon)
layout.operator(FillByThreshold.bl_idname,
icon=FillByThreshold.bl_icon)
layout.operator(FillByRange.bl_idname,
icon=FillByRange.bl_icon)
layout.operator(FillByLabel.bl_idname,
icon=FillByLabel.bl_icon)
layout.operator(CombineLabels.bl_idname,
icon=CombineLabels.bl_icon)
class ReLinkNodeLibMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_RELINK"
bl_label = "Relink Node Library"
def draw(self, context):
layout = self.layout
versions = [{"label": "v0.3.x", "filename": "BioxelNodes_v0.3.x"},
{"label": "v0.2.x", "filename": "BioxelNodes_v0.2.x"},
{"label": "v0.1.x", "filename": "BioxelNodes_v0.1.x"}]
op = layout.operator(ReLinkNodeLib.bl_idname,
text="Current Version")
op.node_lib_filename = NODE_LIB_FILENAME
layout.separator()
for version in versions:
op = layout.operator(ReLinkNodeLib.bl_idname,
text=version["label"])
op.node_lib_filename = version["filename"]
class RenderSettingMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_RENDER"
bl_label = "Render Setting Presets"
def draw(self, context):
layout = self.layout
for k, v in RenderSettingPreset.PRESETS.items():
op = layout.operator(RenderSettingPreset.bl_idname,
text=v)
op.preset = k
class DangerZoneMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_DANGER"
bl_label = "Danger Zone"
def draw(self, context):
layout = self.layout
layout.operator(CleanTemp.bl_idname)
class BioxelNodesTopbarMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_TOPBAR"
bl_label = "Bioxel Nodes"
def draw(self, context):
layout = self.layout
layout.operator(ConvertToMesh.bl_idname)
layout.operator(AddVolumeData.bl_idname)
layout.menu(ImportLayerMenu.bl_idname,
icon=ImportLayerMenu.bl_icon)
layout.operator(LoadContainer.bl_idname)
layout.separator()
layout.operator(SaveBioxelLayers.bl_idname)
layout.operator(SaveAllLayersCache.bl_idname)
layout.operator(RemoveAllMissingLayers.bl_idname)
layout.separator()
layout.operator(SaveNodeLib.bl_idname)
layout.menu(ReLinkNodeLibMenu.bl_idname)
layout.separator()
layout.menu(DangerZoneMenu.bl_idname)
layout.separator()
layout.menu(RenderSettingMenu.bl_idname)
class OutlinerBioxelsMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_OUTLINER"
def TOPBAR(self, context):
layout = self.layout
layout.menu(BioxelNodesTopbarMenu.bl_idname)
class NodeHeadMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_NODE_HEAD"
bl_label = "Bioxel Nodes"
bl_icon = "FILE_VOLUME"
def draw(self, context):
layout = self.layout
layout.menu(AddLayerMenu.bl_idname,
icon=AddLayerMenu.bl_icon)
layout.operator(SaveContainer.bl_idname)
layout.separator()
layout.operator(ContainerProps.bl_idname)
layout.menu(ExtractFromContainerMenu.bl_idname)
layout.separator()
layout.operator(SaveContainerLayersCache.bl_idname,
icon=SaveContainerLayersCache.bl_icon)
layout.operator(RemoveContainerMissingLayers.bl_idname)
layout.separator()
layout.operator(AddLocator.bl_idname,
icon=AddLocator.bl_icon)
layout.operator(AddSlicer.bl_idname,
icon=AddSlicer.bl_icon)
layout.menu(AddCutterMenu.bl_idname)
layout.separator()
layout.menu(FetchLayerMenu.bl_idname)
class NodeContextMenu(bpy.types.Menu):
bl_idname = "BIOXELNODES_MT_NODE_CONTEXT"
bl_label = "Bioxel Nodes"
bl_icon = "FILE_VOLUME"
def draw(self, context):
layout = self.layout
layout.operator(JoinLayers.bl_idname)
layout.operator(ConvertToMesh.bl_idname)
layout.operator(AddVolumeData.bl_idname)
layout.operator(SaveSelectedLayersCache.bl_idname,
icon=SaveSelectedLayersCache.bl_icon)
layout.operator(RemoveSelectedLayers.bl_idname)
layout.separator()
layout.operator(SaveBioxelLayers.bl_idname)
layout.operator(RenameLayer.bl_idname,
icon=RenameLayer.bl_icon)
layout.operator(RetimeLayer.bl_idname)
layout.operator(RelocateLayer.bl_idname)
layout.separator()
layout.operator(ResampleLayer.bl_idname,
icon=ResampleLayer.bl_icon)
layout.operator(SignScalar.bl_idname)
layout.operator(FillByThreshold.bl_idname)
layout.operator(FillByRange.bl_idname)
layout.operator(FillByLabel.bl_idname)
layout.operator(CombineLabels.bl_idname)
def TOPBAR_FILE_IMPORT(self, context):
def NODE_CONTEXT(self, context):
container_obj = context.object
is_geo_nodes = context.area.ui_type == "GeometryNodeTree"
is_container = get_container_obj(container_obj)
if not is_geo_nodes or not is_container:
return
layout = self.layout
layout.separator()
layout.operator(ImportVolumeData.bl_idname)
layout.menu(NodeContextMenu.bl_idname)
def TOPBAR_FILE_EXPORT(self, context):
def NODE_HEAD(self, context):
container_obj = context.object
is_geo_nodes = context.area.ui_type == "GeometryNodeTree"
is_container = get_container_obj(container_obj)
if not is_geo_nodes or not is_container:
return
layout = self.layout
layout.separator()
layout.operator(ExportVDB.bl_idname)
layout.menu(NodeHeadMenu.bl_idname)
def VIEW3D_OBJECT(self, context):
def NODE_PROP(self, context):
container_obj = context.object
is_geo_nodes = context.area.ui_type == "GeometryNodeTree"
is_container = get_container_obj(container_obj)
self.bl_label = "Group"
if not is_geo_nodes or not is_container:
return
if container_obj.modifiers[0].node_group != context.space_data.edit_tree:
return
self.bl_label = "Bioxel Nodes"
layer_list_UL = bpy.context.window_manager.bioxelnodes_layer_list_UL
layer_list = layer_list_UL.layer_list
layer_list.clear()
for layer_obj in get_container_layer_objs(container_obj):
layer_item = layer_list.add()
layer_item.label = get_layer_label(layer_obj)
layer_item.obj_name = layer_obj.name
layer_item.info_text = "\n".join([f"{prop}: {get_layer_prop_value(layer_obj, prop)}"
for prop in ["kind",
"bioxel_size",
"shape",
"frame_count",
"channel_count",
"min", "max"]])
layout = self.layout
layout.menu(View3DBioxelsMenu.bl_idname)
layout.separator()
layout.label(text="Layer List")
split = layout.row()
split.template_list(listtype_name="BIOXELNODES_UL_layer_list",
list_id="layer_list",
dataptr=layer_list_UL,
propname="layer_list",
active_dataptr=layer_list_UL,
active_propname="layer_list_active",
item_dyntip_propname="info_text",
rows=20)
# sidebar = split.column(align=True)
# sidebar.menu(AddLayerMenu.bl_idname,
# icon=AddLayerMenu.bl_icon, text="")
# sidebar.operator(SaveContainerLayersCache.bl_idname,
# icon=SaveContainerLayersCache.bl_icon, text="")
# sidebar.operator(RemoveContainerMissingLayers.bl_idname,
# icon=RemoveContainerMissingLayers.bl_icon, text="")
# sidebar.separator()
# sidebar.operator(SaveSelectedLayersCache.bl_idname,
# icon=SaveSelectedLayersCache.bl_icon, text="")
# sidebar.operator(RemoveSelectedLayers.bl_idname,
# icon=RemoveSelectedLayers.bl_icon, text="")
# sidebar.separator()
# sidebar.operator(RenameLayer.bl_idname,
# icon=RenameLayer.bl_icon, text="")
# sidebar.operator(ResampleLayer.bl_idname,
# icon=ResampleLayer.bl_icon, text="")
# sidebar.operator(RetimeLayer.bl_idname,
# icon=RetimeLayer.bl_icon, text="")
# sidebar.separator()
# sidebar.operator(SignScalar.bl_idname,
# icon=SignScalar.bl_icon, text="")
# sidebar.operator(FillByThreshold.bl_idname,
# icon=FillByThreshold.bl_icon, text="")
# sidebar.operator(FillByRange.bl_idname,
# icon=FillByRange.bl_icon, text="")
# sidebar.operator(FillByLabel.bl_idname,
# icon=FillByLabel.bl_icon, text="")
# sidebar.separator()
# layout.separator()
def OUTLINER_OBJECT(self, context):
def VIEW3D_TOPBAR(self, context):
layout = self.layout
layout.menu(OutlinerBioxelsMenu.bl_idname)
layout.separator()
layout.operator(SliceViewer.bl_idname,
icon=SliceViewer.bl_icon, text="")
node_menu = NodeMenu(
menu_items=MENU_ITEMS
)
def add():
bpy.types.TOPBAR_MT_file_import.append(TOPBAR_FILE_IMPORT)
bpy.types.TOPBAR_MT_file_export.append(TOPBAR_FILE_EXPORT)
bpy.types.OUTLINER_MT_object.prepend(OUTLINER_OBJECT)
bpy.types.VIEW3D_MT_object_context_menu.prepend(VIEW3D_OBJECT)
node_menu.register()
bpy.types.VIEW3D_HT_header.append(VIEW3D_TOPBAR)
bpy.types.TOPBAR_MT_editor_menus.append(TOPBAR)
bpy.types.NODE_PT_node_tree_properties.prepend(NODE_PROP)
bpy.types.NODE_MT_editor_menus.append(NODE_HEAD)
bpy.types.NODE_MT_context_menu.append(NODE_CONTEXT)
def remove():
bpy.types.TOPBAR_MT_file_import.remove(TOPBAR_FILE_IMPORT)
bpy.types.TOPBAR_MT_file_export.remove(TOPBAR_FILE_EXPORT)
bpy.types.OUTLINER_MT_object.remove(OUTLINER_OBJECT)
bpy.types.VIEW3D_MT_object_context_menu.remove(VIEW3D_OBJECT)
bpy.types.VIEW3D_HT_header.remove(VIEW3D_TOPBAR)
bpy.types.TOPBAR_MT_editor_menus.remove(TOPBAR)
bpy.types.NODE_PT_node_tree_properties.remove(NODE_PROP)
bpy.types.NODE_MT_editor_menus.remove(NODE_HEAD)
bpy.types.NODE_MT_context_menu.remove(NODE_CONTEXT)
node_menu.unregister()

View File

@@ -1,92 +0,0 @@
import bpy
from pathlib import Path
import shutil
from .utils import get_all_layers, get_container, get_container_layers
def save_layer(layer, output_dir):
name = layer.name
# "//"
output_dir = bpy.path.abspath(output_dir)
source_dir = bpy.path.abspath(layer.data.filepath)
output_path: Path = Path(output_dir, f"{name}.vdb").resolve()
source_path: Path = Path(source_dir).resolve()
if output_path != source_path:
shutil.copy(source_path, output_path)
blend_path = Path(bpy.path.abspath("//")).resolve()
layer.data.filepath = bpy.path.relpath(
str(output_path), start=str(blend_path))
class SaveBioxelLayers(bpy.types.Operator):
bl_idname = "bioxelnodes.save_bioxel_layers"
bl_label = "Save Bioxel Layers"
bl_description = "Save Bioxel Layers to Directory."
bl_options = {'UNDO'}
@classmethod
def poll(cls, context):
container = get_container(bpy.context.active_object)
return True if container else False
def execute(self, context):
container = get_container(bpy.context.active_object)
if not container:
self.report({"WARNING"}, "Cannot find any bioxel container.")
return {'FINISHED'}
for layer in get_container_layers(container):
try:
save_layer(layer, context.scene.bioxel_layer_dir)
except:
self.report(
{"WARNING"}, f"Fail to save {layer.name}, skiped")
self.report({"INFO"}, f"Successfully saved bioxel layers.")
return {'FINISHED'}
class SaveAllBioxelLayers(bpy.types.Operator):
bl_idname = "bioxelnodes.save_all_bioxel_layers"
bl_label = "Save All Bioxel Layers"
bl_description = "Save All Bioxel Layers to Directory."
bl_options = {'UNDO'}
def execute(self, context):
layers = get_all_layers()
if len(layers) == 0:
self.report({"WARNING"}, "Cannot find any bioxel layer.")
return {'FINISHED'}
for layer in layers:
try:
save_layer(layer, context.scene.bioxel_layer_dir)
except:
self.report(
{"WARNING"}, f"Fail to save {layer.name}, skiped")
self.report({"INFO"}, f"Successfully saved bioxel layers.")
return {'FINISHED'}
class BIOXELNODES_PT_Bioxels(bpy.types.Panel):
bl_idname = "BIOXELNODES_PT_Bioxels"
bl_label = "Bioxel Nodes"
bl_space_type = "PROPERTIES"
bl_region_type = "WINDOW"
bl_context = "scene"
def draw(self, context):
layout = self.layout
scene = context.scene
layout.prop(scene, 'bioxel_layer_dir')
layout.operator(SaveAllBioxelLayers.bl_idname)

87
bioxelnodes/node_menu.py Normal file
View File

@@ -0,0 +1,87 @@
import bpy
from .operators.node import AddNode
class NodeMenu():
def __init__(
self,
menu_items,
) -> None:
self.menu_items = menu_items
self.class_prefix = f"BIOXELNODES_MT"
root_label = "Bioxel Nodes"
menu_classes = []
self._create_menu_class(
items=menu_items,
label=root_label,
menu_classes=menu_classes
)
self.menu_classes = menu_classes
idname = f"{self.class_prefix}_{root_label.replace(' ', '').upper()}"
icon = "FILE_VOLUME"
def drew_menu(self, context):
if (bpy.context.area.spaces[0].tree_type == 'GeometryNodeTree'):
layout = self.layout
layout.separator()
layout.menu(idname,
icon=icon)
self.drew_menu = drew_menu
def _create_menu_class(self, menu_classes, items, label='CustomNodes', icon=0, idname_namespace=None):
idname_namespace = idname_namespace or self.class_prefix
idname = f"{idname_namespace}_{label.replace(' ', '').upper()}"
# create submenu class if item is menu.
for item in items:
item_items = item.get('items') if item != 'separator' else None
if item_items:
menu_class = self._create_menu_class(
menu_classes=menu_classes,
items=item_items,
label=item.get('label') or 'CustomNodes',
icon=item.get('icon') or 0,
idname_namespace=idname
)
item['menu_class'] = menu_class
# create menu class
class Menu(bpy.types.Menu):
bl_idname = idname
bl_label = label
def draw(self, context):
layout = self.layout
for item in items:
if item == "separator":
layout.separator()
elif item.get('menu_class'):
layout.menu(
item.get('menu_class').bl_idname,
icon=item.get('icon') or 'NONE'
)
else:
op = layout.operator(
AddNode.bl_idname,
text=item.get('label'),
icon=item.get('icon') or 'NONE'
)
op.node_name = item['name']
op.node_label = item.get('label') or ""
op.node_description = item.get(
'node_description') or ""
menu_classes.append(Menu)
return Menu
def register(self):
for cls in self.menu_classes:
bpy.utils.register_class(cls)
bpy.types.NODE_MT_add.append(self.drew_menu)
def unregister(self):
bpy.types.NODE_MT_add.remove(self.drew_menu)
for cls in reversed(self.menu_classes):
bpy.utils.unregister_class(cls)

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@@ -1,314 +0,0 @@
from pathlib import Path
from .customnodes import CustomNodes
import bpy
def add_driver_to_node_factory(source_prop, target_prop):
callback_str = f"""
import bpy
from .utils import add_direct_driver, get_bioxels_obj
bioxels_obj = get_bioxels_obj(bpy.context.active_object)
if bioxels_obj:
container_obj = bioxels_obj.parent
add_direct_driver(
target=node,
target_prop='{target_prop}',
source=container_obj,
source_prop='{source_prop}'
)
else:
print('Cannot find any bioxels.')
"""
return callback_str
def set_prop_to_node_factory(source_prop, target_prop):
callback_str = f"""
import bpy
from .utils import get_bioxels_obj
bioxels_obj = get_bioxels_obj(bpy.context.active_object)
if bioxels_obj:
container_obj = bioxels_obj.parent
node.inputs.get('{target_prop}').default_value = container_obj.get(
'{source_prop}')
else:
print('Cannot find any bioxels.')
"""
return callback_str
if bpy.app.version >= (4, 1, 0):
NODE_FILE = "BioxelNodes_4.1"
MENU_ITEMS = [
{
'label': 'Methods',
'icon': 'OUTLINER_DATA_VOLUME',
'items': [
{
'label': 'Mask by Threshold',
'icon': 'EMPTY_SINGLE_ARROW',
'node_type': 'BioxelNodes_MaskByThreshold',
'node_description': ''
},
{
'label': 'Mask by Range',
'icon': 'IPO_CONSTANT',
'node_type': 'BioxelNodes_MaskByRange',
'node_description': ''
},
{
'label': 'Mask by Label',
'icon': 'MESH_CAPSULE',
'node_type': 'BioxelNodes_MaskByLabel',
'node_description': ''
}
]
},
{
'label': 'Shaders',
'icon': 'SHADING_RENDERED',
'items': [
{
'label': 'Solid Shader',
'icon': 'SHADING_SOLID',
'node_type': 'BioxelNodes_AssignSolidShader',
'node_description': ''
},
{
'label': 'Slime Shader',
'icon': 'OUTLINER_OB_META',
'node_type': 'BioxelNodes_AssignSlimeShader',
'node_description': ''
},
{
'label': 'Volume Shader',
'icon': 'OUTLINER_OB_VOLUME',
'node_type': 'BioxelNodes_AssignVolumeShader',
'node_description': ''
},
{
'label': 'Universal Shader',
'icon': 'SHADING_RENDERED',
'node_type': 'BioxelNodes_AssignUniversalShader',
'node_description': ''
}
]
},
{
'label': 'Colors',
'icon': 'COLOR',
'items': [
{
'label': 'Color Presets',
'icon': 'COLOR',
'node_type': 'BioxelNodes_SetColorPresets',
'node_description': ''
},
{
'label': 'Color Ramp 2',
'icon': 'IPO_QUAD',
'node_type': 'BioxelNodes_SetColorRamp2',
'node_description': ''
},
{
'label': 'Color Ramp 3',
'icon': 'IPO_CUBIC',
'node_type': 'BioxelNodes_SetColorRamp3',
'node_description': ''
},
{
'label': 'Color Ramp 4',
'icon': 'IPO_QUART',
'node_type': 'BioxelNodes_SetColorRamp4',
'node_description': ''
},
{
'label': 'Color Ramp 5',
'icon': 'IPO_QUINT',
'node_type': 'BioxelNodes_SetColorRamp5',
'node_description': ''
}
]
},
{
'label': 'Cutters',
'icon': 'MOD_BEVEL',
'items': [
{
'label': 'Cut',
'icon': 'MOD_BEVEL',
'node_type': 'BioxelNodes_Cut',
'node_description': ''
},
"separator",
{
'label': 'Plane Cutter',
'icon': 'MOD_LATTICE',
'node_type': 'BioxelNodes_PlaneCutter',
'node_description': '',
},
{
'label': 'Plane Object Cutter',
'icon': 'OUTLINER_OB_LATTICE',
'node_type': 'BioxelNodes_PlaneObjectCutter',
'node_description': '',
}
]
},
{
'label': 'Utils',
'icon': 'MODIFIER',
'items': [
{
'label': 'Join Component',
'icon': 'CONSTRAINT_BONE',
'node_type': 'BioxelNodes_JoinComponent',
'node_description': ''
}
]
}
]
else:
NODE_FILE = "BioxelNodes_4.0"
MENU_ITEMS = [
{
'label': 'Methods',
'icon': 'OUTLINER_DATA_VOLUME',
'items': [
{
'label': 'Mask by Threshold',
'icon': 'EMPTY_SINGLE_ARROW',
'node_type': 'BioxelNodes_MaskByThreshold',
'node_description': ''
},
{
'label': 'Mask by Range',
'icon': 'IPO_CONSTANT',
'node_type': 'BioxelNodes_MaskByRange',
'node_description': ''
},
{
'label': 'Mask by Label',
'icon': 'MESH_CAPSULE',
'node_type': 'BioxelNodes_MaskByLabel',
'node_description': ''
}
]
},
{
'label': 'Shaders',
'icon': 'SHADING_RENDERED',
'items': [
{
'label': 'Solid Shader',
'icon': 'SHADING_SOLID',
'node_type': 'BioxelNodes_AssignSolidShader',
'node_description': ''
},
{
'label': 'Slime Shader',
'icon': 'OUTLINER_OB_META',
'node_type': 'BioxelNodes_AssignSlimeShader',
'node_description': ''
},
{
'label': 'Volume Shader',
'icon': 'OUTLINER_OB_VOLUME',
'node_type': 'BioxelNodes_AssignVolumeShader',
'node_description': ''
},
{
'label': 'Universal Shader',
'icon': 'SHADING_RENDERED',
'node_type': 'BioxelNodes_AssignUniversalShader',
'node_description': ''
}
]
},
{
'label': 'Colors',
'icon': 'COLOR',
'items': [
{
'label': 'Color Ramp 2',
'icon': 'IPO_QUAD',
'node_type': 'BioxelNodes_SetColorRamp2',
'node_description': ''
},
{
'label': 'Color Ramp 3',
'icon': 'IPO_CUBIC',
'node_type': 'BioxelNodes_SetColorRamp3',
'node_description': ''
},
{
'label': 'Color Ramp 4',
'icon': 'IPO_QUART',
'node_type': 'BioxelNodes_SetColorRamp4',
'node_description': ''
},
{
'label': 'Color Ramp 5',
'icon': 'IPO_QUINT',
'node_type': 'BioxelNodes_SetColorRamp5',
'node_description': ''
}
]
},
{
'label': 'Cutters',
'icon': 'MOD_BEVEL',
'items': [
{
'label': 'Cut',
'icon': 'MOD_BEVEL',
'node_type': 'BioxelNodes_Cut',
'node_description': ''
},
"separator",
{
'label': 'Plane Cutter',
'icon': 'MOD_LATTICE',
'node_type': 'BioxelNodes_PlaneCutter',
'node_description': '',
},
{
'label': 'Plane Object Cutter',
'icon': 'OUTLINER_OB_LATTICE',
'node_type': 'BioxelNodes_PlaneObjectCutter',
'node_description': '',
}
]
},
{
'label': 'Utils',
'icon': 'MODIFIER',
'items': [
{
'label': 'Join Component',
'icon': 'CONSTRAINT_BONE',
'node_type': 'BioxelNodes_JoinComponent',
'node_description': ''
}
]
}
]
custom_nodes = CustomNodes(
menu_items=MENU_ITEMS,
nodes_file=Path(__file__).parent / f"assets/Nodes/{NODE_FILE}.blend",
root_label='Bioxel Nodes',
root_icon="FILE_VOLUME",
)
def register():
custom_nodes.register()
def unregister():
custom_nodes.unregister()

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@@ -1,226 +0,0 @@
from pathlib import Path
import bpy
import pyopenvdb as vdb
from uuid import uuid4
from .nodes import custom_nodes
from .utils import (get_container, get_container_layers,
get_layer, get_node_by_type, hide_in_ray, lock_transform)
def get_scalar_layer_selection(self, context):
items = [("None", "None", "")]
base_layer = bpy.data.objects[self.base_layer]
container = base_layer.parent
for layer in get_container_layers(container):
if layer.get("bioxel_layer_type") == "scalar":
items.append((
layer.name,
layer.name,
""
))
return items
def get_label_layer_selection(self, context):
items = [("None", "None", "")]
base_layer = bpy.data.objects[self.base_layer]
container = base_layer.parent
for layer in get_container_layers(container):
if layer.get("bioxel_layer_type") == "label":
items.append((
layer.name,
layer.name,
""
))
return items
class JoinLayers(bpy.types.Operator):
bl_idname = "bioxelnodes.join_layers"
bl_label = "Join Additinal Layers"
bl_description = "Join Layers"
bl_options = {'UNDO'}
base_layer: bpy.props.StringProperty(
options={"HIDDEN"}
) # type: ignore
scalar_layer: bpy.props.EnumProperty(
name="Scaler Layer",
items=get_scalar_layer_selection
) # type: ignore
label_layer: bpy.props.EnumProperty(
name="Label Layer",
items=get_label_layer_selection
) # type: ignore
# color_layer: bpy.props.StringProperty() # type: ignore
@classmethod
def poll(cls, context):
layer = get_layer(bpy.context.active_object)
return True if layer else False
def execute(self, context):
base_layer = bpy.data.objects[self.base_layer]
if not base_layer:
self.report({"WARNING"}, "Cannot find any bioxel layer as base.")
return {'FINISHED'}
base_layer_dir = bpy.path.abspath(base_layer.data.filepath)
base_grids, base_metadata = vdb.readAll(base_layer_dir)
preferences = context.preferences.addons[__package__].preferences
cache_dir = Path(preferences.cache_dir, 'VDBs')
cache_dir.mkdir(parents=True, exist_ok=True)
layers = []
if self.scalar_layer != "None":
scalar_layer = bpy.data.objects[self.scalar_layer]
layers.append(scalar_layer)
if self.label_layer != "None":
label_layer = bpy.data.objects[self.label_layer]
layers.append(label_layer)
# TODO: add color and vector
if len(layers) == 0:
self.report({"WARNING"}, "No additinal layers setted.")
return {'FINISHED'}
for layer in layers:
layer_dir = bpy.path.abspath(layer.data.filepath)
grids, metadata = vdb.readAll(layer_dir)
base_grids.extend(grids)
vdb_path = Path(cache_dir, f"{uuid4()}.vdb")
print(f"Storing the VDB file ({str(vdb_path)})...")
vdb.write(str(vdb_path), grids=base_grids)
# Read VDB
print(f"Loading the cache to Blender scene...")
bpy.ops.object.volume_import(
filepath=str(vdb_path), align='WORLD', location=(0, 0, 0), scale=(1, 1, 1))
joined_layer = bpy.context.active_object
base_layer_node = base_layer.modifiers[0].node_group.nodes['BioxelNodes__ConvertToLayer']
bioxel_size = base_layer_node.inputs['Bioxel Size'].default_value
layer_shape = base_layer_node.inputs['Shape'].default_value
layer_origin = base_layer_node.inputs['Origin'].default_value
layer_rotation = base_layer_node.inputs['Rotation'].default_value
scalar_offset = base_layer_node.inputs['Scalar Offset'].default_value
scalar_min = base_layer_node.inputs['Scalar Min'].default_value
scalar_max = base_layer_node.inputs['Scalar Max'].default_value
if self.scalar_layer != "None":
scalar_layer_node = scalar_layer.modifiers[0].node_group.nodes['BioxelNodes__ConvertToLayer']
scalar_offset = scalar_layer_node.inputs['Scalar Offset'].default_value
scalar_min = scalar_layer_node.inputs['Scalar Min'].default_value
scalar_max = scalar_layer_node.inputs['Scalar Max'].default_value
bpy.ops.node.new_geometry_nodes_modifier()
node_tree = joined_layer.modifiers[0].node_group
nodes = node_tree.nodes
links = node_tree.links
input_node = get_node_by_type(nodes, 'NodeGroupInput')[0]
output_node = get_node_by_type(nodes, 'NodeGroupOutput')[0]
joined_layer_node = custom_nodes.add_node(
nodes, "BioxelNodes__ConvertToLayer")
links.new(input_node.outputs[0], joined_layer_node.inputs[0])
links.new(joined_layer_node.outputs[0], output_node.inputs[0])
joined_layer_node.inputs['Bioxel Size'].default_value = bioxel_size
joined_layer_node.inputs['Shape'].default_value = layer_shape
joined_layer_node.inputs['Origin'].default_value = layer_origin
joined_layer_node.inputs['Rotation'].default_value = layer_rotation
joined_layer_node.inputs['Scalar Offset'].default_value = scalar_offset
joined_layer_node.inputs['Scalar Min'].default_value = scalar_min
joined_layer_node.inputs['Scalar Max'].default_value = scalar_max
# Set props to VDB object
joined_layer.name = f"{base_layer.name}_Joined"
joined_layer.data.name = f"{base_layer.name}_Joined"
lock_transform(joined_layer)
hide_in_ray(joined_layer)
joined_layer.hide_select = True
joined_layer.hide_render = True
joined_layer.hide_viewport = True
joined_layer.data.display.use_slice = True
joined_layer.data.display.density = 1e-05
joined_layer['bioxel_layer'] = True
joined_layer.parent = base_layer.parent
return {'FINISHED'}
def invoke(self, context, event):
base_layer = get_layer(bpy.context.active_object)
self.base_layer = base_layer.name
context.window_manager.invoke_props_dialog(self, width=400)
return {'RUNNING_MODAL'}
class ConvertToMesh(bpy.types.Operator):
bl_idname = "bioxelnodes.convert_to_mesh"
bl_label = "Bioxel Components To Mesh"
bl_description = "Convert Bioxel Components To Mesh"
bl_options = {'UNDO'}
@classmethod
def poll(cls, context):
container = get_container(bpy.context.active_object)
return True if container else False
def execute(self, context):
container = get_container(bpy.context.active_object)
if not container:
self.report({"WARNING"}, "Cannot find any bioxel container.")
return {'FINISHED'}
bpy.ops.mesh.primitive_cube_add(
size=2, enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1))
mesh = bpy.context.active_object
mesh.name = f"Mesh_{container.name}"
bpy.ops.object.constraint_add(type='COPY_TRANSFORMS')
mesh.constraints[0].target = container
bpy.ops.node.new_geometry_nodes_modifier()
modifier = mesh.modifiers[0]
nodes = modifier.node_group.nodes
links = modifier.node_group.links
output_node = get_node_by_type(nodes, 'NodeGroupOutput')[0]
object_node = nodes.new("GeometryNodeObjectInfo")
realize_nodes = nodes.new("GeometryNodeRealizeInstances")
separate_node = custom_nodes.add_node(
nodes, "BioxelNodes__SeparateComponent")
object_node.inputs[0].default_value = container
separate_node.inputs[1].default_value = 1
links.new(object_node.outputs['Geometry'], separate_node.inputs[0])
links.new(separate_node.outputs[0], realize_nodes.inputs[0])
links.new(realize_nodes.outputs[0], output_node.inputs[0])
bpy.ops.object.convert(target='MESH')
bpy.ops.constraint.apply(constraint="Copy Transforms", owner='OBJECT')
bpy.context.object.active_material_index = 1
bpy.ops.object.material_slot_remove()
self.report({"INFO"}, f"Successfully convert to mesh")
return {'FINISHED'}

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@@ -0,0 +1,525 @@
import bpy
import bmesh
from ..utils import get_cache_dir, get_use_link, select_object
from ..bioxel.io import load_container, save_container
from ..bioxelutils.container import container_to_obj, obj_to_container
from ..bioxelutils.node import add_node_to_graph
from ..bioxelutils.common import (get_container_layer_objs, get_container_obj,
get_nodes_by_type, is_missing_layer,
move_node_between_nodes,
move_node_to_node,
get_all_layer_objs)
from .layer import RemoveLayers, SaveLayersCache
class SaveContainer(bpy.types.Operator):
bl_idname = "bioxelnodes.save_container"
bl_label = "Save Container (.bioxel) (BETA)"
bl_description = "Clean all caches saved in temp"
filepath: bpy.props.StringProperty(
subtype="FILE_PATH"
) # type: ignore
filename_ext = ".bioxel"
def execute(self, context):
container_obj = get_container_obj(context.object)
if container_obj is None:
self.report({"WARNING"}, "Cannot find any bioxel container.")
return {'FINISHED'}
container = obj_to_container(container_obj)
save_path = f"{self.filepath.split('.')[0]}.bioxel"
save_container(container, save_path, overwrite=True)
self.report({"INFO"}, f"Successfully save to {save_path}")
return {'FINISHED'}
def invoke(self, context, event):
context.window_manager.fileselect_add(self)
return {'RUNNING_MODAL'}
class LoadContainer(bpy.types.Operator):
bl_idname = "bioxelnodes.load_container"
bl_label = "Load Container (.bioxel) (BETA)"
bl_description = "Clean all caches saved in temp"
filepath: bpy.props.StringProperty(
subtype="FILE_PATH"
) # type: ignore
filename_ext = ".bioxel"
def execute(self, context):
load_path = self.filepath
container = load_container(self.filepath)
is_first_import = len(get_all_layer_objs()) == 0
container_obj = container_to_obj(container,
scene_scale=0.01,
cache_dir=get_cache_dir())
select_object(container_obj)
if is_first_import:
bpy.ops.bioxelnodes.render_setting_preset('EXEC_DEFAULT',
preset="preview_c")
self.report({"INFO"}, f"Successfully load {load_path}")
return {'FINISHED'}
def invoke(self, context, event):
context.window_manager.fileselect_add(self)
return {'RUNNING_MODAL'}
class ExtractObject():
bl_options = {'UNDO'}
def execute(self, context):
container_obj = get_container_obj(context.object)
if container_obj is None:
self.report({"WARNING"}, "Cannot find any bioxel container.")
return {'FINISHED'}
bpy.ops.mesh.primitive_cube_add(
size=2, enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1))
obj = bpy.context.active_object
obj.name = f"{container_obj.name}_{self.object_type}"
bpy.ops.node.new_geometry_nodes_modifier()
modifier = obj.modifiers[0]
node_group = modifier.node_group
output_node = get_nodes_by_type(node_group, 'NodeGroupOutput')[0]
fetch_mesh_node = add_node_to_graph(f"Fetch{self.object_type}",
node_group,
get_use_link())
fetch_mesh_node.inputs[0].default_value = container_obj
node_group.links.new(fetch_mesh_node.outputs[0], output_node.inputs[0])
select_object(obj)
self.report({"INFO"}, f"Successfully picked")
return {'FINISHED'}
class ExtractSurface(bpy.types.Operator, ExtractObject):
bl_idname = "bioxelnodes.fetch_mesh"
bl_label = "Extract Surface"
bl_description = "Extract Surface"
bl_icon = "OUTLINER_OB_MESH"
object_type = "Surface"
class ExtractVolume(bpy.types.Operator, ExtractObject):
bl_idname = "bioxelnodes.pick_volume"
bl_label = "Extract Volume"
bl_description = "Extract Volume"
bl_icon = "OUTLINER_OB_VOLUME"
object_type = "Volume"
class ExtractShapeWire(bpy.types.Operator, ExtractObject):
bl_idname = "bioxelnodes.pick_shape_wire"
bl_label = "Extract Shape Wire"
bl_description = "Extract Shape Wire"
bl_icon = "FILE_VOLUME"
object_type = "ShapeWire"
class ExtractBboxWire(bpy.types.Operator, ExtractObject):
bl_idname = "bioxelnodes.pick_bbox_wire"
bl_label = "Extract Bbox Wire"
bl_description = "Extract Bbox Wire"
bl_icon = "MESH_CUBE"
object_type = "BboxWire"
class AddCutter():
bl_options = {'UNDO'}
def execute(self, context):
container_obj = get_container_obj(context.object)
if container_obj is None:
self.report({"WARNING"}, "Cannot find any bioxel container.")
return {'FINISHED'}
# TODO: do not use operator to create obj
if self.cutter_type == "plane":
bpy.ops.mesh.primitive_plane_add(
size=2, enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1))
elif self.cutter_type == "cylinder":
bpy.ops.mesh.primitive_cylinder_add(
radius=1, depth=2, enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1))
bpy.context.object.rotation_euler[0] = container_obj.rotation_euler[0]
elif self.cutter_type == "cube":
bpy.ops.mesh.primitive_cube_add(
size=2, enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1))
elif self.cutter_type == "sphere":
bpy.ops.mesh.primitive_ico_sphere_add(
radius=1, enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1))
elif self.cutter_type == "pie":
bpy.ops.mesh.primitive_plane_add(
size=2, enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1))
pie_obj = bpy.context.active_object
orig_data = pie_obj.data
# Create mesh
pie_mesh = bpy.data.meshes.new('Pie')
pie_obj.data = pie_mesh
bpy.data.meshes.remove(orig_data)
# # Create object
# pie = bpy.data.objects.new('Pie', pie_mesh)
# # Link object to scene
# bpy.context.scene.collection.objects.link(pie)
# Get a BMesh representation
bm = bmesh.new() # create an empty BMesh
bm.from_mesh(pie_mesh) # fill it in from a Mesh
# Hot to create vertices
v_0 = bm.verts.new((0.0, -1.0, 0.0))
v_1 = bm.verts.new((-1.0, -1.0, 1.0))
v_2 = bm.verts.new((0.0, 1.0, 0.0))
v_3 = bm.verts.new((-1.0, 1.0, 1.0))
v_4 = bm.verts.new((1.0, -1.0, 1.0))
v_5 = bm.verts.new((1.0, 1.0, 1.0))
# Initialize the index values of this sequence.
bm.verts.index_update()
# How to create a face
# it's not necessary to create the edges before, I made it only to show how create
# edges too
bm.faces.new((v_0, v_1, v_3, v_2))
bm.faces.new((v_0, v_2, v_5, v_4))
# Finish up, write the bmesh back to the mesh
bm.to_mesh(pie_mesh)
# bpy.context.view_layer.objects.active = pie
cutter_obj = bpy.context.active_object
# vcos = [container_obj.matrix_world @
# v.co for v in container_obj.data.vertices]
# def find_center(l): return (max(l) + min(l)) / 2
# x, y, z = [[v[i] for v in vcos] for i in range(3)]
# center = [find_center(axis) for axis in [x, y, z]]
# cutter_obj.location = center
name = self.cutter_type.capitalize()
cutter_obj.name = name
cutter_obj.data.name = name
cutter_obj.visible_camera = False
cutter_obj.visible_diffuse = False
cutter_obj.visible_glossy = False
cutter_obj.visible_transmission = False
cutter_obj.visible_volume_scatter = False
cutter_obj.visible_shadow = False
cutter_obj.hide_render = True
cutter_obj.display_type = 'WIRE'
cutter_obj.lineart.usage = 'EXCLUDE'
select_object(container_obj)
modifier = container_obj.modifiers[0]
node_group = modifier.node_group
cut_nodes = get_nodes_by_type(node_group,
'BioxelNodes_Cut')
if len(cut_nodes) == 0:
cutter_node = add_node_to_graph("ObjectCutter",
node_group,
get_use_link())
cutter_node.inputs[0].default_value = self.cutter_type.capitalize()
cutter_node.inputs[1].default_value = cutter_obj
cut_node = add_node_to_graph("Cut",
node_group,
get_use_link())
output_node = get_nodes_by_type(node_group,
'NodeGroupOutput')[0]
if len(output_node.inputs[0].links) == 0:
node_group.links.new(cut_node.outputs[0],
output_node.inputs[0])
move_node_to_node(cut_node, output_node, (-300, 0))
else:
pre_output_node = output_node.inputs[0].links[0].from_node
node_group.links.new(pre_output_node.outputs[0],
cut_node.inputs[0])
node_group.links.new(cut_node.outputs[0],
output_node.inputs[0])
move_node_between_nodes(cut_node,
[pre_output_node, output_node])
node_group.links.new(cutter_node.outputs[0],
cut_node.inputs[1])
move_node_to_node(cutter_node, cut_node, (-300, -300))
else:
bpy.ops.bioxelnodes.add_node('EXEC_DEFAULT',
node_name="ObjectCutter",
node_label=name)
node = bpy.context.active_node
node.inputs[0].default_value = name
node.inputs[1].default_value = cutter_obj
return {'FINISHED'}
class AddPlaneCutter(bpy.types.Operator, AddCutter):
bl_idname = "bioxelnodes.add_plane_cutter"
bl_label = "Add a Plane Cutter"
bl_description = "Add a plane cutter to current container"
bl_icon = "MESH_PLANE"
cutter_type = "plane"
class AddCylinderCutter(bpy.types.Operator, AddCutter):
bl_idname = "bioxelnodes.add_cylinder_cutter"
bl_label = "Add a Cylinder Cutter"
bl_description = "Add a cylinder cutter to current container"
bl_icon = "MESH_CYLINDER"
cutter_type = "cylinder"
class AddCubeCutter(bpy.types.Operator, AddCutter):
bl_idname = "bioxelnodes.add_cube_cutter"
bl_label = "Add a Cube Cutter"
bl_description = "Add a cube cutter to current container"
bl_icon = "MESH_CUBE"
cutter_type = "cube"
class AddSphereCutter(bpy.types.Operator, AddCutter):
bl_idname = "bioxelnodes.add_sphere_cutter"
bl_label = "Add a Sphere Cutter"
bl_description = "Add a sphere cutter to current container"
bl_icon = "MESH_UVSPHERE"
cutter_type = "sphere"
class AddPieCutter(bpy.types.Operator, AddCutter):
bl_idname = "bioxelnodes.add_pie_cutter"
bl_label = "Add a Pie Cutter"
bl_description = "Add a pie cutter to current container"
bl_icon = "MESH_CONE"
cutter_type = "pie"
class AddSlicer(bpy.types.Operator):
bl_idname = "bioxelnodes.add_slicer"
bl_label = "Add a Slicer"
bl_description = "Add a slicer to current container"
bl_icon = "TEXTURE"
bl_options = {'UNDO'}
def execute(self, context):
container_obj = get_container_obj(context.object)
if container_obj is None:
self.report({"WARNING"}, "Cannot find any bioxel container.")
return {'FINISHED'}
bpy.ops.mesh.primitive_plane_add(size=2,
enter_editmode=False,
align='WORLD',
location=(0, 0, 0),
scale=(1, 1, 1))
slicer_obj = bpy.context.active_object
slicer_obj.name = "Slicer"
slicer_obj.data.name = "Slicer"
slicer_obj.visible_camera = False
slicer_obj.visible_diffuse = False
slicer_obj.visible_glossy = False
slicer_obj.visible_transmission = False
slicer_obj.visible_volume_scatter = False
slicer_obj.visible_shadow = False
slicer_obj.hide_render = True
slicer_obj.display_type = 'WIRE'
slicer_obj.lineart.usage = 'EXCLUDE'
select_object(container_obj)
modifier = container_obj.modifiers[0]
node_group = modifier.node_group
slice_node = add_node_to_graph("Slice",
node_group,
get_use_link())
slice_node.inputs[1].default_value = slicer_obj
output_node = get_nodes_by_type(node_group,
'NodeGroupOutput')[0]
if len(output_node.inputs[0].links) == 0:
node_group.links.new(slice_node.outputs[0],
output_node.inputs[0])
move_node_to_node(slice_node, output_node, (-300, 0))
else:
pre_output_node = output_node.inputs[0].links[0].from_node
node_group.links.new(pre_output_node.outputs[0],
slice_node.inputs[0])
node_group.links.new(slice_node.outputs[0],
output_node.inputs[0])
move_node_between_nodes(slice_node,
[pre_output_node, output_node])
return {'FINISHED'}
class AddLocator(bpy.types.Operator):
bl_idname = "bioxelnodes.add_locator"
bl_label = "Add a Locator"
bl_description = "Add a locator to current container"
bl_icon = "EMPTY_AXIS"
bl_options = {'UNDO'}
def execute(self, context):
container_obj = get_container_obj(context.object)
if container_obj is None:
self.report({"WARNING"}, "Cannot find any bioxel container.")
return {'FINISHED'}
bpy.ops.object.empty_add(type='ARROWS',
align='WORLD',
location=(0, 0, 0),
scale=(1, 1, 1))
locator_obj = bpy.context.active_object
locator_obj.name = "Locator"
select_object(container_obj)
modifier = container_obj.modifiers[0]
node_group = modifier.node_group
parent_node = add_node_to_graph("TransformParent",
node_group,
get_use_link())
parent_node.inputs[1].default_value = locator_obj
output_node = get_nodes_by_type(node_group,
'NodeGroupOutput')[0]
if len(output_node.inputs[0].links) == 0:
node_group.links.new(parent_node.outputs[0],
output_node.inputs[0])
move_node_to_node(parent_node, output_node, (-300, 0))
else:
pre_output_node = output_node.inputs[0].links[0].from_node
node_group.links.new(pre_output_node.outputs[0],
parent_node.inputs[0])
node_group.links.new(parent_node.outputs[0],
output_node.inputs[0])
move_node_between_nodes(parent_node,
[pre_output_node, output_node])
return {'FINISHED'}
class ContainerProps(bpy.types.Operator):
bl_idname = "bioxelnodes.container_props"
bl_label = "Change Container Properties"
bl_description = "Change current ontainer properties"
bl_icon = "FILE_TICK"
scene_scale: bpy.props.FloatProperty(name="Scene Scale",
soft_min=0.0001, soft_max=10.0,
min=1e-6, max=1e6,
default=0.01) # type: ignore
step_size: bpy.props.FloatProperty(name="Step Size",
soft_min=0.1, soft_max=100.0,
min=0.1, max=1e2,
default=1) # type: ignore
def execute(self, context):
container_obj = get_container_obj(context.object)
if container_obj is None:
self.report({"WARNING"}, "Cannot find any bioxel container.")
return {'FINISHED'}
container_obj.scale[0] = self.scene_scale
container_obj.scale[1] = self.scene_scale
container_obj.scale[2] = self.scene_scale
container_obj["scene_scale"] = self.scene_scale
container_obj["step_size"] = self.step_size
for layer_obj in get_container_layer_objs(container_obj):
layer_obj.data.render.space = 'WORLD'
layer_obj.data.render.step_size = self.scene_scale * self.step_size
return {'FINISHED'}
def invoke(self, context, event):
container_obj = get_container_obj(context.object)
if container_obj is None:
return self.execute(context)
else:
self.scene_scale = container_obj.get("scene_scale") or 0.01
self.step_size = container_obj.get("step_size") or 1
context.window_manager.invoke_props_dialog(self)
return {'RUNNING_MODAL'}
def get_container_layers(context, layer_filter=None):
def _layer_filter(layer_obj, context):
return True
layer_filter = layer_filter or _layer_filter
container_obj = context.object
layer_objs = get_container_layer_objs(container_obj)
return [obj for obj in layer_objs if layer_filter(obj, context)]
class SaveContainerLayersCache(bpy.types.Operator, SaveLayersCache):
bl_idname = "bioxelnodes.save_container_layers_cache"
bl_label = "Save Container Layers' Cache"
bl_description = "Save all current container layers' cache to directory."
bl_icon = "FILE_TICK"
success_msg = "Successfully saved all container layers."
def get_layers(self, context):
def is_not_missing(layer_obj, context):
return not is_missing_layer(layer_obj)
return get_container_layers(context, is_not_missing)
class RemoveContainerMissingLayers(bpy.types.Operator, RemoveLayers):
bl_idname = "bioxelnodes.remove_container_missing_layers"
bl_label = "Remove Container Missing Layers"
bl_description = "Remove all current container missing layers"
bl_icon = "BRUSH_DATA"
success_msg = "Successfully removed all container missing layers."
def get_layers(self, context):
def is_missing(layer_obj, context):
return is_missing_layer(layer_obj)
return get_container_layers(context, is_missing)
def invoke(self, context, event):
context.window_manager.invoke_confirm(self,
event,
message=f"Are you sure to remove all **Missing** layers?")
return {'RUNNING_MODAL'}

967
bioxelnodes/operators/io.py Normal file
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import math
import bpy
import shutil
import threading
import numpy as np
from pathlib import Path
from ..exceptions import CancelledByUser
from ..props import BIOXELNODES_Series
from ..bioxelutils.common import (get_all_layer_objs, get_container_obj,
get_layer_obj, is_incompatible)
from ..bioxelutils.container import (Container,
add_layers,
container_to_obj)
from ..bioxel.layer import Layer
from ..bioxel.parse import (DICOM_EXTS, SUPPORT_EXTS,
get_ext, parse_volumetric_data)
from ..utils import (get_cache_dir,
progress_update, progress_bar,
select_object)
# 3rd-party
import SimpleITK as sitk
import transforms3d
def get_layer_shape(bioxel_size: float, orig_shape: tuple, orig_spacing: tuple):
shape = (int(orig_shape[0] / bioxel_size * orig_spacing[0]),
int(orig_shape[1] / bioxel_size * orig_spacing[1]),
int(orig_shape[2] / bioxel_size * orig_spacing[2]))
return (shape[0] if shape[0] > 0 else 1,
shape[1] if shape[1] > 0 else 1,
shape[2] if shape[2] > 0 else 1)
def get_layer_size(shape: tuple, bioxel_size: float, scale: float = 1.0):
size = (float(shape[0] * bioxel_size * scale),
float(shape[1] * bioxel_size * scale),
float(shape[2] * bioxel_size * scale))
return size
"""
ImportVolumetricData
-> ParseVolumetricData -> ImportVolumetricDataDialog
FH_ImportVolumetricData
start import parse data execute import
"""
class ImportVolumetricData():
bl_options = {'UNDO'}
filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
read_as = "SCALAR"
def execute(self, context):
data_path = Path(self.filepath).resolve()
ext = get_ext(data_path)
if ext not in SUPPORT_EXTS:
self.report({"WARNING"}, "Not supported format.")
return {'CANCELLED'}
bpy.ops.bioxelnodes.parse_volumetric_data('INVOKE_DEFAULT',
filepath=self.filepath,
skip_read_as=True,
read_as=self.read_as)
return {'FINISHED'}
def invoke(self, context, event):
context.window_manager.fileselect_add(self)
return {'RUNNING_MODAL'}
class ImportAsScalar(bpy.types.Operator, ImportVolumetricData):
bl_idname = "bioxelnodes.import_as_scalar"
bl_label = "Import as Scalar"
bl_description = "Import Volumetric Data to Container as Scalar"
bl_icon = "EVENT_S"
read_as = "SCALAR"
class ImportAsLabel(bpy.types.Operator, ImportVolumetricData):
bl_idname = "bioxelnodes.import_as_label"
bl_label = "Import as Label"
bl_description = "Import Volumetric Data to Container as Label"
bl_icon = "EVENT_L"
read_as = "LABEL"
class ImportAsColor(bpy.types.Operator, ImportVolumetricData):
bl_idname = "bioxelnodes.import_as_color"
bl_label = "Import as Label"
bl_description = "Import Volumetric Data to Container as Label"
bl_icon = "EVENT_C"
read_as = "COLOR"
class BIOXELNODES_FH_ImportVolumetricData(bpy.types.FileHandler):
bl_idname = "BIOXELNODES_FH_ImportVolumetricData"
bl_label = "File handler for dicom import"
bl_import_operator = "bioxelnodes.parse_volumetric_data"
bl_file_extensions = ";".join(SUPPORT_EXTS)
@classmethod
def poll_drop(cls, context):
if not context.area:
return False
if context.area.type == 'VIEW_3D':
return True
elif context.area.type == 'NODE_EDITOR':
container_obj = get_container_obj(context.object)
return container_obj is not None
else:
return False
def get_series_ids(self, context):
items = []
for index, series_id in enumerate(self.series_ids):
items.append((
series_id.id,
series_id.label,
"",
index
))
return items
class ParseVolumetricData(bpy.types.Operator):
bl_idname = "bioxelnodes.parse_volumetric_data"
bl_label = "Import Volumetric Data (BioxelNodes)"
bl_description = "Import Volumetric Data as Layer"
bl_options = {'UNDO'}
meta = None
label_count = 0
dtype = None
thread = None
_timer = None
progress: bpy.props.FloatProperty(name="Progress",
options={"SKIP_SAVE"},
default=1) # type: ignore
filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
skip_read_as: bpy.props.BoolProperty(name="Skip Read As",
default=False,
options={"SKIP_SAVE"}) # type: ignore
skip_series_select: bpy.props.BoolProperty(name="Skip Sries Select",
default=True,
options={"SKIP_SAVE"}) # type: ignore
read_as: bpy.props.EnumProperty(name="Read as",
default="SCALAR",
items=[("SCALAR", "Scalar", ""),
("LABEL", "Labels", ""),
("COLOR", "Color", "")]) # type: ignore
series_id: bpy.props.EnumProperty(name="Select Series",
items=get_series_ids) # type: ignore
series_ids: bpy.props.CollectionProperty(
type=BIOXELNODES_Series) # type: ignore
def execute(self, context):
if is_incompatible():
self.report({"ERROR"},
"Current addon verison is not compatible to this file. If you insist on editing this file please keep the same addon version")
return {'CANCELLED'}
if not self.filepath:
self.report({"WARNING"}, "No file selected.")
return {'CANCELLED'}
data_path = Path(self.filepath).resolve()
ext = get_ext(data_path)
if ext not in SUPPORT_EXTS:
self.report({"WARNING"}, "Not supported format.")
return {'CANCELLED'}
print("Collecting Meta Data...")
def parse_volumetric_data_func(self, context, cancel):
def progress_callback(factor, text):
if cancel():
raise CancelledByUser
progress_update(context, factor, text)
try:
series_id = self.series_id if self.series_id != "empty" else ""
data, meta = parse_volumetric_data(data_file=self.filepath,
series_id=series_id,
progress_callback=progress_callback)
except CancelledByUser:
return
except Exception as e:
self.has_error = e
return
if cancel():
return
self.meta = meta
self.label_count = int(np.max(data))
self.dtype = data.dtype
# Init cancel flag
self.is_cancelled = False
self.has_error = None
# Create the thread
self.thread = threading.Thread(target=parse_volumetric_data_func,
args=(self, context, lambda: self.is_cancelled))
# Start the thread
self.thread.start()
# Add a timmer for modal
self._timer = context.window_manager.event_timer_add(time_step=0.1,
window=context.window)
# Append progress bar to status bar
bpy.types.STATUSBAR_HT_header.append(progress_bar)
# Start modal handler
context.window_manager.modal_handler_add(self)
return {'RUNNING_MODAL'}
def modal(self, context, event):
# Check if user press 'ESC'
if event.type == 'ESC':
self.is_cancelled = True
progress_update(context, 0.0, "Canceling...")
return {'PASS_THROUGH'}
# Check if is the timer time
if event.type != 'TIMER':
return {'PASS_THROUGH'}
# Force update status bar
bpy.context.workspace.status_text_set_internal(None)
# Check if thread is still running
if self.thread.is_alive():
return {'PASS_THROUGH'}
# Release the thread
self.thread.join()
# Remove the timer
context.window_manager.event_timer_remove(self._timer)
# Remove the progress bar from status bar
bpy.types.STATUSBAR_HT_header.remove(progress_bar)
progress_update(context, 1.0)
# Check if thread is cancelled by user
if self.is_cancelled:
self.report({"WARNING"}, "Canncelled by user.")
return {'CANCELLED'}
# Check if thread is cancelled by user
if self.has_error:
raise self.has_error
# Check if has return
if self.meta is None:
self.report({"ERROR"}, "Some thing went wrong.")
return {'CANCELLED'}
# If not canncelled...
for key, value in self.meta.items():
print(f"{key}: {value}")
if self.read_as == "LABEL":
if self.label_count > 100 or self.dtype.kind not in ["i", "u"]:
self.report({"ERROR"}, "Invaild label data.")
return {'CANCELLED'}
orig_shape = self.meta['xyz_shape']
orig_spacing = self.meta['spacing']
min_log10 = math.floor(math.log10(min(*orig_spacing)))
max_log10 = math.floor(math.log10(max(*orig_spacing)))
# min_space = min(*orig_spacing)
# max_space = max(*orig_spacing)
if orig_spacing[2] == 1 and min_log10 < -1:
orig_spacing = (orig_spacing[0] * math.pow(10, -min_log10-2),
orig_spacing[1] * math.pow(10, -min_log10-2),
1)
elif min_log10 > 0:
orig_spacing = (orig_spacing[0] * math.pow(10, -min_log10-1),
orig_spacing[1] * math.pow(10, -min_log10-1),
orig_spacing[2] * math.pow(10, -min_log10-1))
elif max_log10 < 0:
orig_spacing = (orig_spacing[0] * math.pow(10, -max_log10-1),
orig_spacing[1] * math.pow(10, -max_log10-1),
orig_spacing[2] * math.pow(10, -max_log10-1))
bioxel_size = max(min(*orig_spacing), 1.0)
layer_shape = get_layer_shape(bioxel_size,
orig_shape,
orig_spacing)
layer_size = get_layer_size(layer_shape,
bioxel_size,
0.01)
min_log10 = math.floor(math.log10(min(*layer_size)))
max_log10 = math.floor(math.log10(max(*layer_size)))
if min_log10 > 0:
scene_scale = math.pow(10, -min_log10-2)
elif max_log10 < 0:
scene_scale = math.pow(10, -max_log10-2)
else:
scene_scale = 0.01
if context.area.type == "NODE_EDITOR":
container_obj = context.object
container_name = container_obj.name
container_obj_name = container_name
else:
container_name = self.meta['name']
container_obj_name = ""
series_id = self.series_id if self.series_id != "empty" else ""
bpy.ops.bioxelnodes.import_volumetric_data_dialog(
'INVOKE_DEFAULT',
filepath=self.filepath,
container_name=container_name,
layer_name=self.meta['description'],
orig_shape=orig_shape,
orig_spacing=orig_spacing,
bioxel_size=bioxel_size,
series_id=series_id,
frame_count=self.meta['frame_count'],
channel_count=self.meta['channel_count'],
container_obj_name=container_obj_name,
read_as=self.read_as,
label_count=self.label_count,
scene_scale=scene_scale
)
self.report({"INFO"}, "Successfully Readed.")
return {'FINISHED'}
def invoke(self, context, event):
# why not report in execute?
# If this operator is executing, a new execute will when pre-one done.
if context.window_manager.bioxelnodes_progress_factor < 1:
print("A process is executing, please wait for it to finish.")
return {'CANCELLED'}
if not self.filepath:
return self.execute(context)
data_path = Path(self.filepath).resolve()
ext = get_ext(data_path)
if context.area.type == "NODE_EDITOR":
title = f"Add to **{context.object.name}**"
else:
title = "Init a Container"
# Series Selection
if ext in DICOM_EXTS:
data_dirpath = data_path.parent
reader = sitk.ImageSeriesReader()
reader.MetaDataDictionaryArrayUpdateOn()
reader.LoadPrivateTagsOn()
series_ids = reader.GetGDCMSeriesIDs(str(data_dirpath))
series_items = {}
for series_id in series_ids:
series_files = reader.GetGDCMSeriesFileNames(
str(data_dirpath), series_id)
single = sitk.ImageFileReader()
single.SetFileName(series_files[0])
single.LoadPrivateTagsOn()
single.ReadImageInformation()
def get_meta(key):
try:
stirng = single.GetMetaData(key).removesuffix(" ")
if stirng in ["No study description",
"No series description",
""]:
return "Unknown"
else:
return stirng
except:
return "Unknown"
study_description = get_meta("0008|1030")
series_description = get_meta("0008|103e")
series_modality = get_meta("0008|0060")
size_x = get_meta("0028|0011")
size_y = get_meta("0028|0010")
count = get_meta("0020|0013")
count = count if count != "Unknown" else 1
# some series image count = 0 ????
if int(count) == 0:
continue
# series_id cannot be "" in blender selection
if series_id == "":
series_id = "empty"
series_items[series_id] = "{:<20} {:>1}".format(f"{study_description}>{series_description}({series_modality})",
f"({size_x}x{size_y})x{count}")
for key, value in series_items.items():
series_item = self.series_ids.add()
series_item.id = key
series_item.label = value
if len(series_items.keys()) > 1:
self.skip_series_select = False
context.window_manager.invoke_props_dialog(self,
width=400,
title=title)
return {'RUNNING_MODAL'}
elif len(series_items.keys()) == 1:
self.series_id = list(series_items.keys())[0]
else:
self.report({"ERROR"}, "Get no vaild series.")
return {'CANCELLED'}
if self.skip_read_as:
return self.execute(context)
else:
context.window_manager.invoke_props_dialog(self,
width=400,
title=title)
return {'RUNNING_MODAL'}
def draw(self, context):
layout = self.layout
if not self.skip_read_as:
layout.label(
text='What kind is the data read as?')
layout.prop(self, "read_as")
if not self.skip_series_select:
layout.label(text='Which series to import?')
layout.prop(self, "series_id")
def get_frame_sources(self, context):
items = [("-1", "First Frame (1 frame)", "")]
orig_shape = tuple(self.orig_shape)
if self.frame_count > 1:
items.append(("0", f"Frames ({self.frame_count} frames)", ""))
elif self.frame_count == 1 and self.channel_count > 1:
items.append(("4", f"Channels ({self.channel_count} frames)", ""))
elif self.frame_count == 1 and self.channel_count == 1:
items.append(("1", f"X-axis ({orig_shape[0]} frames)", ""))
items.append(("2", f"Y-axis ({orig_shape[1]} frames)", ""))
items.append(("3", f"Z-axis ({orig_shape[2]} frames)", ""))
return items
class ImportVolumetricDataDialog(bpy.types.Operator):
bl_idname = "bioxelnodes.import_volumetric_data_dialog"
bl_label = "Import Volumetric Data"
bl_description = "Import Volumetric Data as Layer"
bl_options = {'UNDO'}
layers = None
thread = None
_timer = None
filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
container_name: bpy.props.StringProperty(
name="Container Name") # type: ignore
layer_name: bpy.props.StringProperty(name="Layer Name") # type: ignore
series_id: bpy.props.StringProperty() # type: ignore
container_obj_name: bpy.props.StringProperty() # type: ignore
frame_count: bpy.props.IntProperty() # type: ignore
channel_count: bpy.props.IntProperty() # type: ignore
label_count: bpy.props.IntProperty() # type: ignore
read_as: bpy.props.EnumProperty(name="Read as",
default="SCALAR",
items=[("SCALAR", "Scalar", ""),
("LABEL", "Labels", ""),
("COLOR", "Color", "")]) # type: ignore
bioxel_size: bpy.props.FloatProperty(name="Bioxel Size (Larger size means small resolution)",
soft_min=0.1, soft_max=10.0,
min=0.1, max=1e2,
default=1) # type: ignore
orig_spacing: bpy.props.FloatVectorProperty(name="Original Spacing",
default=(1, 1, 1)) # type: ignore
orig_shape: bpy.props.IntVectorProperty(name="Original Shape",
default=(100, 100, 100)) # type: ignore
scene_scale: bpy.props.FloatProperty(name="Scene Scale (Bioxel Unit pre Blender Unit)",
soft_min=0.0001, soft_max=10.0,
min=1e-6, max=1e6,
default=0.01) # type: ignore
remap: bpy.props.BoolProperty(name="Remap to 0~1",
default=False) # type: ignore
split_channel: bpy.props.BoolProperty(name="Split Channels",
default=False) # type: ignore
frame_source: bpy.props.EnumProperty(name="Frame From",
items=get_frame_sources) # type: ignore
def execute(self, context):
def import_volumetric_data_func(self, context, cancel):
progress_update(context, 0.0, "Parsing Volumetirc Data...")
def progress_callback(factor, text):
if cancel():
raise CancelledByUser
progress_update(context, factor*0.2, text)
try:
data, meta = parse_volumetric_data(data_file=self.filepath,
series_id=self.series_id,
progress_callback=progress_callback)
except CancelledByUser:
return
except Exception as e:
self.has_error = e
return
if cancel():
return
shape = get_layer_shape(self.bioxel_size,
self.orig_shape,
self.orig_spacing)
mat_scale = transforms3d.zooms.zfdir2aff(self.bioxel_size)
affine = np.dot(meta['affine'], mat_scale)
kind = self.read_as.lower()
if cancel():
return
# change shape as sequence or not
if self.frame_source == "-1":
data = data[0:1, :, :, :, :]
elif self.frame_source == "0":
# frame as frame
pass
elif self.frame_source == "1":
# X as frame
data = data.transpose(1, 0, 2, 3, 4)
shape = (1, shape[1], shape[2])
elif self.frame_source == "2":
# Y as frame
data = data.transpose(2, 1, 0, 3, 4)
shape = (shape[0], 1, shape[2])
elif self.frame_source == "3":
# Z as frame
data = data.transpose(3, 1, 2, 0, 4)
shape = (shape[0], shape[1], 1)
else:
# channel as frame
data = data.transpose(4, 1, 2, 3, 0)
def progress_callback_factory(layer_name, progress, progress_step):
def progress_callback(frame, total):
if cancel():
raise CancelledByUser
sub_progress_step = progress_step/total
sub_progress = progress + frame * sub_progress_step
progress_update(context, sub_progress,
f"Processing {layer_name} Frame {frame+1}...")
print(f"Processing {layer_name} Frame {frame+1}...")
return progress_callback
layers = []
if kind == "label":
name = self.layer_name or "Label"
data = data.astype(int)
label_count = int(np.max(data))
progress_step = 0.7/label_count
for i in range(label_count):
if cancel():
return
name_i = f"{name}_{i+1}"
progress = 0.2+i*progress_step
progress_update(context, progress,
f"Processing {name_i}...")
progress_callback = progress_callback_factory(name_i,
progress,
progress_step)
try:
layer = Layer(data=data == np.full_like(data, i+1),
name=name_i,
kind=kind)
layer.resize(shape=shape,
progress_callback=progress_callback)
layer.affine = affine
layers.append(layer)
except CancelledByUser:
return
except Exception as e:
self.has_error = e
return
if kind == "color":
if np.issubdtype(np.uint8, data.dtype):
data = np.multiply(data, 1.0 / 256,
dtype=np.float32)
elif data.dtype.kind in ['u', 'i']:
# Convert the normalized array to float dtype
data = data.astype(np.float32)
min_val = data.min()
max_val = data.max()
# Avoid division by zero if all values are the same
if max_val != min_val:
# Normalize the array to the range (0,1)
data = (data - min_val) / (max_val - min_val)
else:
# If all values are the same, the normalized array will be all zeros
data = np.zeros_like(data, dtype=np.float32)
else:
data = data.astype(np.float32)
name = self.layer_name or "Color"
if data.shape[4] == 1:
data = np.repeat(data, repeats=3, axis=4)
elif data.shape[4] == 2:
d_shape = list(data.shape)
d_shape = d_shape[:4] + [1]
zore = np.zeros(tuple(d_shape), dtype=np.float32)
data = np.concatenate((data, zore), axis=-1)
elif data.shape[4] > 3:
data = data[:, :, :, :, :3]
if cancel():
return
progress_update(context, 0.2,
f"Processing {name}...")
progress_callback = progress_callback_factory(name,
0.2,
0.7)
try:
layer = Layer(data=data,
name=name,
kind=kind)
layer.resize(shape=shape,
progress_callback=progress_callback)
layer.affine = affine
layers.append(layer)
except CancelledByUser:
return
except Exception as e:
self.has_error = e
return
elif kind == "scalar":
name = self.layer_name or "Scalar"
if self.remap:
# Convert the normalized array to float dtype
data = data.astype(np.float32)
min_val = data.min()
max_val = data.max()
# Avoid division by zero if all values are the same
if max_val != min_val:
# Normalize the array to the range (0,1)
data = (data - min_val) / (max_val - min_val)
else:
# If all values are the same, the normalized array will be all zeros
data = np.zeros_like(data, dtype=np.float32)
if self.split_channel:
progress_step = 0.7/self.channel_count
for i in range(self.channel_count):
if cancel():
return
name_i = f"{name}_{i+1}"
progress = 0.2 + i*progress_step
progress_update(context, progress,
f"Processing {name_i}...")
progress_callback = progress_callback_factory(name_i,
progress,
progress_step)
try:
layer = Layer(data=data[:, :, :, :, i:i+1],
name=name_i,
kind=kind)
layer.resize(shape=shape,
progress_callback=progress_callback)
layer.affine = affine
layers.append(layer)
except CancelledByUser:
return
except Exception as e:
self.has_error = e
return
else:
if cancel():
return
progress_update(context, 0.2,
f"Processing {name}...")
progress_callback = progress_callback_factory(name,
0.2,
0.7)
try:
layer = Layer(data=data,
name=name,
kind=kind)
layer.resize(shape=shape,
progress_callback=progress_callback)
layer.affine = affine
layers.append(layer)
except CancelledByUser:
return
except Exception as e:
self.has_error = e
return
if cancel():
return
self.layers = layers
progress_update(context, 0.9, "Creating Layers...")
self.is_cancelled = False
self.has_error = None
self.thread = threading.Thread(target=import_volumetric_data_func,
args=(self, context, lambda: self.is_cancelled))
self.thread.start()
self._timer = context.window_manager.event_timer_add(time_step=0.1,
window=context.window)
bpy.types.STATUSBAR_HT_header.append(progress_bar)
context.window_manager.modal_handler_add(self)
return {'RUNNING_MODAL'}
def modal(self, context, event):
if event.type == 'ESC':
self.is_cancelled = True
progress_update(context, 0.0, "Canceling...")
return {'PASS_THROUGH'}
if event.type != 'TIMER':
return {'PASS_THROUGH'}
bpy.context.workspace.status_text_set_internal(None)
if self.thread.is_alive():
return {'PASS_THROUGH'}
self.thread.join()
context.window_manager.event_timer_remove(self._timer)
bpy.types.STATUSBAR_HT_header.remove(progress_bar)
progress_update(context, 1.0)
if self.is_cancelled:
self.report({"WARNING"}, "Canncelled by user.")
return {'CANCELLED'}
# Check if thread is cancelled by user
if self.has_error:
raise self.has_error
# Check if has return
if self.layers is None:
self.report({"ERROR"}, "Some thing went wrong.")
return {'CANCELLED'}
is_first_import = len(get_all_layer_objs()) == 0
if self.container_obj_name:
container_obj = bpy.data.objects.get(self.container_obj_name)
if container_obj is None:
raise Exception("Could not find target container")
container_obj = add_layers(self.layers,
container_obj=container_obj,
cache_dir=get_cache_dir())
else:
name = self.container_name or "Container"
container = Container(name=name,
layers=self.layers)
step_size = container.layers[0].bioxel_size[0]*5
container_obj = container_to_obj(container,
scene_scale=self.scene_scale,
step_size=step_size,
cache_dir=get_cache_dir())
select_object(container_obj)
# Change render setting for better result
if is_first_import:
bpy.ops.bioxelnodes.render_setting_preset('EXEC_DEFAULT',
preset="preview_c")
# bpy.ops.bioxelnodes.slice_viewer('EXEC_DEFAULT')
self.report({"INFO"}, "Successfully Imported")
return {'FINISHED'}
def invoke(self, context, event):
layer_kind = self.read_as.capitalize()
title = f"Add to **{self.container_obj_name}**, As {layer_kind}" \
if self.container_obj_name != "" else f"Init a Container, As {layer_kind}"
context.window_manager.invoke_props_dialog(self,
width=500,
title=title)
return {'RUNNING_MODAL'}
def draw(self, context):
layer_shape = get_layer_shape(self.bioxel_size,
self.orig_shape,
self.orig_spacing)
orig_shape = tuple(self.orig_shape)
# change shape as sequence or not
channel_count = self.channel_count
frame_count = self.frame_count
if self.frame_source == "-1":
frame_count = 1
pass
elif self.frame_source == "0":
# frame as frame
pass
elif self.frame_source == "1":
frame_count = orig_shape[0]
layer_shape = (1, layer_shape[1], layer_shape[2])
elif self.frame_source == "2":
frame_count = orig_shape[1]
layer_shape = (layer_shape[0], 1, layer_shape[2])
elif self.frame_source == "3":
frame_count = orig_shape[2]
layer_shape = (layer_shape[0], layer_shape[1], 1)
else:
channel_count = 1
if self.read_as == "SCALAR":
layer_count = channel_count if self.split_channel else 1
channel_count = 1
elif self.read_as == "LABEL":
layer_count = self.label_count
channel_count = 1
else:
layer_count = 1
channel_count = 3
bioxel_count = layer_shape[0] * layer_shape[1] * layer_shape[2]
orig_shape_text = f"[{self.frame_count}, ({orig_shape[0]},{orig_shape[1]},{orig_shape[2]}), {self.channel_count}]"
layer_shape_text = f"{layer_count} x [{frame_count}, ({layer_shape[0]},{layer_shape[1]},{layer_shape[2]}), {channel_count}]"
if bioxel_count > 100000000:
layer_shape_text += "**TOO LARGE!**"
layer_size = get_layer_size(layer_shape,
self.bioxel_size,
self.scene_scale)
layer_size_text = f"Size will be: ({layer_size[0]:.2f}, {layer_size[1]:.2f}, {layer_size[2]:.2f}) m"
layout = self.layout
if self.container_obj_name == "":
panel = layout.box()
panel.prop(self, "container_name")
panel.prop(self, "scene_scale")
panel.label(text=layer_size_text)
panel = layout.box()
panel.prop(self, "layer_name")
panel.prop(self, "bioxel_size")
row = panel.row()
row.prop(self, "orig_spacing")
panel.prop(self, "frame_source")
if self.read_as == "SCALAR":
panel.prop(self, "split_channel",
text=f"Split Channel as Multi Layer")
panel.label(
text="Dimension Order: [Frame, (X-axis,Y-axis,Z-axis), Channel]")
panel.label(
text=f"Shape from {orig_shape_text} to {layer_shape_text}")
class ExportVolumetricData(bpy.types.Operator):
bl_idname = "bioxelnodes.export_volumetric_data"
bl_label = "Export Layer as VDB"
bl_description = "Export Layer as VDB"
bl_options = {'UNDO'}
filepath: bpy.props.StringProperty(
subtype="FILE_PATH"
) # type: ignore
filename_ext = ".vdb"
@classmethod
def poll(cls, context):
layer_obj = get_layer_obj(bpy.context.active_object)
return True if layer_obj else False
def invoke(self, context, event):
context.window_manager.fileselect_add(self)
return {'RUNNING_MODAL'}
def execute(self, context):
layer_obj = get_layer_obj(bpy.context.active_object)
filepath = f"{self.filepath.split('.')[0]}.vdb"
# "//"
source_dir = bpy.path.abspath(layer_obj.data.filepath)
output_path: Path = Path(filepath).resolve()
source_path: Path = Path(source_dir).resolve()
# print('output_path', output_path)
# print('source_path', source_path)
shutil.copy(source_path, output_path)
self.report({"INFO"}, f"Successfully exported to {output_path}")
return {'FINISHED'}

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@@ -0,0 +1,604 @@
from pathlib import Path
import bpy
import numpy as np
from ..exceptions import NoContent
from ..bioxel.layer import Layer
from ..bioxelutils.common import (get_container_obj, get_layer_kind, get_layer_label, get_layer_name,
get_layer_prop_value,
get_container_layer_objs,
get_node_type, is_missing_layer, set_layer_prop_value)
from ..bioxelutils.layer import layer_to_obj, obj_to_layer
from ..utils import get_cache_dir, copy_to_dir
def get_label_layer_selection(self, context):
items = [("None", "None", "")]
container_obj = get_container_obj(bpy.context.active_object)
for layer_obj in get_container_layer_objs(container_obj):
kind = get_layer_prop_value(layer_obj, "kind")
name = get_layer_prop_value(layer_obj, "name")
if kind == "label":
items.append((layer_obj.name,
name,
""))
return items
class FetchLayer(bpy.types.Operator):
bl_idname = "bioxelnodes.fetch_layer"
bl_label = "Fetch Layer"
bl_description = "Fetch layer from current container"
bl_icon = "NODE"
bl_options = {'UNDO'}
layer_obj_name: bpy.props.StringProperty(
options={"HIDDEN"}) # type: ignore
@classmethod
def description(cls, context, properties):
layer_obj_name = properties.layer_obj_name
layer_obj = bpy.data.objects.get(layer_obj_name)
return "\n".join([f"{prop}: {get_layer_prop_value(layer_obj, prop)}"
for prop in ["kind",
"bioxel_size",
"shape",
"frame_count",
"channel_count",
"min", "max"]])
@property
def layer_obj(self):
return bpy.data.objects.get(self.layer_obj_name)
def execute(self, context):
if self.layer_obj == None:
self.report({"WARNING"}, "Get no layer.")
return {'FINISHED'}
if is_missing_layer(self.layer_obj):
self.report({"WARNING"}, "Selected layer is lost.")
return {'FINISHED'}
bpy.ops.bioxelnodes.add_node('EXEC_DEFAULT',
node_name="FetchLayer",
node_label="Fetch Layer")
node = bpy.context.active_node
node.inputs[0].default_value = self.layer_obj
node.label = get_layer_label(self.layer_obj)
return {"FINISHED"}
def get_selected_layers(context, layer_filter=None):
def _layer_filter(layer_obj, context):
return True
layer_filter = layer_filter or _layer_filter
select_objs = []
# node_group = context.space_data.edit_tree
for node in context.selected_nodes:
if get_node_type(node) == "BioxelNodes_FetchLayer":
layer_obj = node.inputs[0].default_value
if layer_obj is not None:
if layer_filter(layer_obj, context):
select_objs.append(layer_obj)
return list(set(select_objs))
def get_selected_layer(context, layer_filter=None):
layer_objs = get_selected_layers(context, layer_filter)
return layer_objs[0] if len(layer_objs) > 0 else None
class OutputLayerOperator():
new_layer_name: bpy.props.StringProperty(name="New Name",
options={"SKIP_SAVE"}) # type: ignore
def operate(self, orig_layer: Layer, context):
"""do the operation"""
return orig_layer
def add_layer_node(self, context, layer):
layer_obj = layer_to_obj(layer,
container_obj=context.object,
cache_dir=get_cache_dir())
bpy.ops.bioxelnodes.fetch_layer('INVOKE_DEFAULT',
layer_obj_name=layer_obj.name)
def execute(self, context):
layer_obj = get_selected_layer(context)
if layer_obj == None:
self.report({"WARNING"}, "Get no layer.")
return {'FINISHED'}
if is_missing_layer(layer_obj):
self.report({"WARNING"}, "Selected layer is lost.")
return {'FINISHED'}
orig_layer = obj_to_layer(layer_obj)
try:
new_layer = self.operate(orig_layer, context)
except NoContent as e:
self.report({"WARNING"}, e.message)
return {'FINISHED'}
self.add_layer_node(context, new_layer)
return {'FINISHED'}
class LayerOperator():
def operate(self, layer_obj: bpy.types.Object, context):
"""do the operation"""
...
def execute(self, context):
layer_obj = get_selected_layer(context)
if layer_obj == None:
self.report({"WARNING"}, "Get no layer.")
return {'FINISHED'}
if is_missing_layer(layer_obj):
self.report({"WARNING"}, "Selected layer is lost.")
return {'FINISHED'}
self.operate(layer_obj, context)
return {'FINISHED'}
class RetimeLayer(bpy.types.Operator, LayerOperator):
bl_idname = "bioxelnodes.retime_layer"
bl_label = "Retime Sequence"
bl_description = "Retime layer time sequence"
bl_icon = "TIME"
frame_duration: bpy.props.IntProperty(name="Frames") # type: ignore
frame_start: bpy.props.IntProperty(name="Start") # type: ignore
frame_offset: bpy.props.IntProperty(name="Offset") # type: ignore
sequence_mode: bpy.props.EnumProperty(name="Mode",
default="REPEAT",
items=[("CLIP", "Clip", ""),
("EXTEND", "Extend", ""),
("REPEAT", "Repeat", ""),
("PING_PONG", "Ping-Pong", "")]) # type: ignore
def operate(self, layer_obj, context):
layer_obj.data.frame_duration = self.frame_duration
layer_obj.data.frame_start = self.frame_start
layer_obj.data.frame_offset = self.frame_offset
layer_obj.data.sequence_mode = self.sequence_mode
def invoke(self, context, event):
layer_obj = get_selected_layer(context)
if layer_obj:
self.frame_duration = layer_obj.data.frame_duration
self.frame_start = layer_obj.data.frame_start
self.frame_offset = layer_obj.data.frame_offset
self.sequence_mode = layer_obj.data.sequence_mode
name = get_layer_label(layer_obj)
context.window_manager.invoke_props_dialog(self,
title=f"Retime {name}")
return {'RUNNING_MODAL'}
else:
return self.execute(context)
class RelocateLayer(bpy.types.Operator, LayerOperator):
bl_idname = "bioxelnodes.relocate_layer"
bl_label = "Relocate Layer Cache"
bl_description = "Relocate layer cache"
bl_icon = "FILE"
filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
def operate(self, layer_obj, context):
layer_obj.data.filepath = self.filepath
def invoke(self, context, event):
layer_obj = get_selected_layer(context)
if layer_obj:
context.window_manager.fileselect_add(self)
return {'RUNNING_MODAL'}
else:
return self.execute(context)
class RenameLayer(bpy.types.Operator, LayerOperator):
bl_idname = "bioxelnodes.rename_layer"
bl_label = "Rename Layer"
bl_description = "Rename layer"
bl_icon = "FILE_FONT"
new_name: bpy.props.StringProperty(name="New Name",
options={"SKIP_SAVE"}) # type: ignore
def operate(self, layer_obj, context):
name = f"{layer_obj.parent.name}_{self.new_name}"
layer_obj.name = name
layer_obj.data.name = name
set_layer_prop_value(layer_obj, "name", self.new_name)
node_group = context.space_data.edit_tree
for node in node_group.nodes:
if get_node_type(node) == "BioxelNodes_FetchLayer":
if node.inputs[0].default_value == layer_obj:
node.label = self.new_name
def invoke(self, context, event):
layer_obj = get_selected_layer(context)
if layer_obj:
self.new_name = get_layer_name(layer_obj)
name = get_layer_label(layer_obj)
context.window_manager.invoke_props_dialog(self,
title=f"Rename {name}")
return {'RUNNING_MODAL'}
else:
return self.execute(context)
class ResampleLayer(bpy.types.Operator, OutputLayerOperator):
bl_idname = "bioxelnodes.resample_layer"
bl_label = "Resample Value"
bl_description = "Resample value"
bl_icon = "ALIASED"
smooth: bpy.props.IntProperty(name="Smooth Iteration",
default=0,
soft_min=0, soft_max=5,
options={"SKIP_SAVE"}) # type: ignore
bioxel_size: bpy.props.FloatProperty(
name="Bioxel Size",
soft_min=0.1, soft_max=10.0,
default=1,
) # type: ignore
@staticmethod
def get_new_shape(orig_shape, orig_size, new_size):
return (int(orig_shape[0]*orig_size/new_size),
int(orig_shape[1]*orig_size/new_size),
int(orig_shape[2]*orig_size/new_size))
def operate(self, orig_layer: Layer, context):
new_layer = orig_layer.copy()
new_shape = self.get_new_shape(new_layer.shape,
new_layer.bioxel_size[0],
self.bioxel_size)
new_layer.resize(new_shape, self.smooth)
new_layer.name = self.new_layer_name \
or f"{orig_layer.name}_R-{self.bioxel_size:.2f}"
return new_layer
def draw(self, context):
layer_obj = get_selected_layer(context)
orig_shape = get_layer_prop_value(layer_obj, "shape")
orig_size = get_layer_prop_value(layer_obj, "bioxel_size")
new_shape = self.get_new_shape(orig_shape,
orig_size,
self.bioxel_size)
orig_shape = tuple(orig_shape)
bioxel_count = new_shape[0] * new_shape[1] * new_shape[2]
layer_shape_text = f"Shape from {str(orig_shape)} to {str(new_shape)}"
if bioxel_count > 100000000:
layer_shape_text += "**TOO LARGE!**"
layout = self.layout
layout.prop(self, "new_layer_name")
layout.prop(self, "bioxel_size")
layout.prop(self, "smooth")
layout.label(text=layer_shape_text)
def invoke(self, context, event):
layer_obj = get_selected_layer(context)
if layer_obj:
name = get_layer_label(layer_obj)
self.bioxel_size = get_layer_prop_value(layer_obj,
"bioxel_size")
context.window_manager.invoke_props_dialog(self,
title=f"Resample {name}")
return {'RUNNING_MODAL'}
else:
return self.execute(context)
class SignScalar(bpy.types.Operator, OutputLayerOperator):
bl_idname = "bioxelnodes.sign_scalar"
bl_label = "Sign Value"
bl_description = "Sign value"
bl_icon = "REMOVE"
def operate(self, orig_layer: Layer, context):
new_layer = orig_layer.copy()
new_layer.data = -orig_layer.data
new_layer.name = self.new_layer_name \
or f"{orig_layer.name}_Sign"
return new_layer
def invoke(self, context, event):
layer_obj = get_selected_layer(context)
if layer_obj:
name = get_layer_label(layer_obj)
context.window_manager.invoke_props_dialog(self,
title=f"Sign {name}")
return {'RUNNING_MODAL'}
else:
return self.execute(context)
class FillOperator(OutputLayerOperator):
fill_value: bpy.props.FloatProperty(
name="Fill Value",
soft_min=0, soft_max=1024.0,
default=0,
) # type: ignore
invert: bpy.props.BoolProperty(
name="Invert Aera",
default=True,
) # type: ignore
def invoke(self, context, event):
layer_obj = get_selected_layer(context)
if layer_obj:
scalar_min = get_layer_prop_value(layer_obj, "min")
self.fill_value = min(scalar_min, 0)
name = get_layer_label(layer_obj)
context.window_manager.invoke_props_dialog(self,
title=f"Fill {name}")
return {'RUNNING_MODAL'}
else:
return self.execute(context)
class FillByThreshold(bpy.types.Operator, FillOperator):
bl_idname = "bioxelnodes.fill_by_threshold"
bl_label = "Fill Value by Threshold"
bl_description = "Fill value by threshold"
bl_icon = "EMPTY_SINGLE_ARROW"
threshold: bpy.props.FloatProperty(
name="Threshold",
soft_min=0, soft_max=1024,
default=128,
) # type: ignore
def operate(self, orig_layer: Layer, context):
data = np.amax(orig_layer.data, -1)
mask = data <= self.threshold \
if self.invert else data > self.threshold
new_layer = orig_layer.copy()
new_layer.fill(self.fill_value, mask, 3)
new_layer.name = self.new_layer_name \
or f"{orig_layer.name}_F-{self.threshold:.2f}"
return new_layer
class FillByRange(bpy.types.Operator, FillOperator):
bl_idname = "bioxelnodes.fill_by_range"
bl_label = "Fill Value by Range"
bl_description = "Fill value by range"
bl_icon = "IPO_CONSTANT"
from_min: bpy.props.FloatProperty(
name="From Min",
soft_min=0, soft_max=1024,
default=128,
) # type: ignore
from_max: bpy.props.FloatProperty(
name="From Max",
soft_min=0, soft_max=1024,
default=256,
) # type: ignore
def operate(self, orig_layer: Layer, context):
data = np.amax(orig_layer.data, -1)
mask = (data <= self.from_min) | (data >= self.from_max) if self.invert else \
(data > self.from_min) & (data < self.from_max)
new_layer = orig_layer.copy()
new_layer.fill(self.fill_value, mask, 3)
new_layer.name = self.new_layer_name \
or f"{orig_layer.name}_F-{self.from_min:.2f}-{self.from_max:.2f}"
return new_layer
class FillByLabel(bpy.types.Operator, FillOperator):
bl_idname = "bioxelnodes.fill_by_label"
bl_label = "Fill Value by Label"
bl_description = "Fill value by label"
bl_icon = "MESH_CAPSULE"
smooth: bpy.props.IntProperty(name="Smooth Iteration",
default=0,
soft_min=0, soft_max=5,
options={"SKIP_SAVE"}) # type: ignore
label_obj_name: bpy.props.EnumProperty(name="Label Layer",
items=get_label_layer_selection) # type: ignore
def operate(self, orig_layer: Layer, context):
label_obj = bpy.data.objects.get(self.label_obj_name)
if label_obj is None:
raise NoContent("Cannot find any label layer.")
label_layer = obj_to_layer(label_obj)
label_layer.resize(orig_layer.shape, self.smooth)
mask = np.amax(label_layer.data, -1)
if self.invert:
mask = 1 - mask
new_layer = orig_layer.copy()
new_layer.fill(self.fill_value, mask, 3)
new_layer.name = self.new_layer_name \
or f"{orig_layer.name}_F-{label_layer.name}"
return new_layer
class CombineLabels(bpy.types.Operator, OutputLayerOperator):
bl_idname = "bioxelnodes.combine_labels"
bl_label = "Combine Labels"
bl_description = "Combine all selected labels"
bl_icon = "MOD_BUILD"
def execute(self, context):
def layer_filter(layer_obj, context):
return get_layer_kind(layer_obj) == "label"
label_objs = get_selected_layers(context, layer_filter)
if len(label_objs) < 2:
self.report({"WARNING"}, "Not enough layers.")
return {'FINISHED'}
base_obj = label_objs[0]
label_objs = label_objs[1:]
base_layer = obj_to_layer(base_obj)
new_layer = base_layer.copy()
label_names = [base_layer.name]
for label_obj in label_objs:
label_layer = obj_to_layer(label_obj)
label_layer.resize(base_layer.shape)
new_layer.data = np.maximum(
new_layer.data, label_layer.data)
label_names.append(label_layer.name)
new_layer.name = self.new_layer_name \
or f"C-{'-'.join(label_names)}"
self.add_layer_node(context, new_layer)
return {'FINISHED'}
class BatchLayerOperator():
success_msg = "Successfully done selected layers."
fail_msg = "fails."
def execute(self, context):
layer_objs = self.get_layers(context)
fails = []
for layer_obj in layer_objs:
try:
self.operate(layer_obj, context)
except:
fails.append(layer_obj)
if len(fails) == 0:
self.report({"INFO"}, self.success_msg)
else:
self.report(
{"WARNING"}, f"{','.join([layer_obj.name for layer_obj in fails])} {self.fail_msg}")
return {'FINISHED'}
class SaveLayersCache(BatchLayerOperator):
fail_msg = "fail to save."
cache_dir: bpy.props.StringProperty(
name="Cache Directory",
subtype='DIR_PATH',
default="//"
) # type: ignore
def operate(self, layer_obj, context):
output_dir = bpy.path.abspath(self.cache_dir)
source_dir = bpy.path.abspath(layer_obj.data.filepath)
source_path: Path = Path(source_dir).resolve()
is_sequence = layer_obj.data.is_sequence
name = layer_obj.name if is_sequence else f"{layer_obj.name}.vdb"
output_path: Path = Path(output_dir, name, source_path.name).resolve() \
if is_sequence else Path(output_dir, name).resolve()
if output_path != source_path:
copy_to_dir(source_path.parent if is_sequence else source_path,
output_path.parent.parent if is_sequence else output_path.parent,
new_name=name)
blend_path = Path(bpy.path.abspath("//")).resolve()
layer_obj.data.filepath = bpy.path.relpath(str(output_path),
start=str(blend_path))
return {'FINISHED'}
def invoke(self, context, event):
context.window_manager.invoke_props_dialog(self)
return {'RUNNING_MODAL'}
class RemoveLayers(BatchLayerOperator):
fail_msg = "fail to remove."
def operate(self, layer_obj, context):
for node_group in bpy.data.node_groups:
for node in node_group.nodes:
if get_node_type(node) == "BioxelNodes_FetchLayer":
if node.inputs[0].default_value == layer_obj:
node_group.nodes.remove(node)
cache_filepath = Path(bpy.path.abspath(
layer_obj.data.filepath)).resolve()
if cache_filepath.is_file():
if layer_obj.data.is_sequence:
for f in cache_filepath.parent.iterdir():
f.unlink(missing_ok=True)
else:
cache_filepath.unlink(missing_ok=True)
# also remove layer object
bpy.data.volumes.remove(layer_obj.data)
return {'FINISHED'}
def invoke(self, context, event):
context.window_manager.invoke_confirm(self,
event,
message=f"Are you sure to remove them?")
return {'RUNNING_MODAL'}
class SaveSelectedLayersCache(bpy.types.Operator, SaveLayersCache):
bl_idname = "bioxelnodes.save_selected_layers_cache"
bl_label = "Save Selected Layers Cache"
bl_description = "Save selected layers' Cache"
bl_icon = "FILE_TICK"
success_msg = "Successfully saved all selected layers."
def get_layers(self, context):
def is_not_missing(layer_obj, context):
return not is_missing_layer(layer_obj)
return get_selected_layers(context, is_not_missing)
class RemoveSelectedLayers(bpy.types.Operator, RemoveLayers):
bl_idname = "bioxelnodes.remove_selected_layers"
bl_label = "Remove Selected Layers"
bl_description = "Remove selected layers"
bl_icon = "TRASH"
success_msg = "Successfully removed all selected layers."
def get_layers(self, context):
return get_selected_layers(context)

View File

@@ -0,0 +1,238 @@
import bpy
from pathlib import Path
import shutil
from ..bioxelutils.common import get_all_layer_objs, is_missing_layer, set_file_prop
from .layer import RemoveLayers, SaveLayersCache
from ..constants import NODE_LIB_FILEPATH, VERSION
from ..utils import get_cache_dir
class ReLinkNodeLib(bpy.types.Operator):
bl_idname = "bioxelnodes.relink_node_lib"
bl_label = "Relink Node Library"
bl_description = "Relink all nodes to addon library source"
bl_options = {'UNDO'}
node_lib_filename: bpy.props.StringProperty(
default=""
) # type: ignore
def execute(self, context):
lib_filepath = Path(NODE_LIB_FILEPATH.parent,
f"{self.node_lib_filename}.blend")
node_libs = []
for node_group in bpy.data.node_groups:
if node_group.name.startswith("BioxelNodes"):
node_lib = node_group.library
if node_lib:
node_libs.append(node_lib)
node_libs = list(set(node_libs))
for node_lib in node_libs:
node_lib.filepath = str(lib_filepath)
# FIXME: may cause crash
node_lib.reload()
self.report({"INFO"}, f"Successfully relinked.")
return {'FINISHED'}
class SaveNodeLib(bpy.types.Operator):
bl_idname = "bioxelnodes.save_node_lib"
bl_label = "Save Node Library"
bl_description = "Save node library file to local"
bl_options = {'UNDO'}
lib_dir: bpy.props.StringProperty(
name="Library Directory",
subtype='DIR_PATH',
default="//"
) # type: ignore
def execute(self, context):
lib_dir = bpy.path.abspath(self.lib_dir)
local_lib_path: Path = Path(lib_dir, NODE_LIB_FILEPATH.name).resolve()
addon_lib_path: Path = NODE_LIB_FILEPATH
blend_path = Path(bpy.path.abspath("//")).resolve()
if local_lib_path != addon_lib_path:
shutil.copy(addon_lib_path, local_lib_path)
libs = []
for node_group in bpy.data.node_groups:
if node_group.name.startswith("BioxelNodes"):
if node_group.library:
libs.append(node_group.library)
libs = list(set(libs))
for lib in libs:
lib.filepath = bpy.path.relpath(str(local_lib_path),
start=str(blend_path))
set_file_prop("addon_version", VERSION)
return {'FINISHED'}
def invoke(self, context, event):
context.window_manager.invoke_props_dialog(self)
return {'RUNNING_MODAL'}
@classmethod
def poll(cls, context):
return bpy.data.is_saved
class CleanTemp(bpy.types.Operator):
bl_idname = "bioxelnodes.clear_temp"
bl_label = "Clean Temp"
bl_description = "Clean all cache in temp (include other project cache)"
def execute(self, context):
cache_dir = get_cache_dir()
try:
shutil.rmtree(cache_dir)
self.report({"INFO"}, f"Successfully cleaned temp.")
return {'FINISHED'}
except:
self.report({"WARNING"},
"Fail to clean temp, you may do it manually.")
return {'CANCELLED'}
def invoke(self, context, event):
context.window_manager.invoke_confirm(self,
event,
message="All temp files will be removed, include other project cache, do you still want to clean?")
return {'RUNNING_MODAL'}
class RenderSettingPreset(bpy.types.Operator):
bl_idname = "bioxelnodes.render_setting_preset"
bl_label = "Render Setting Presets"
bl_description = "Render setting presets for bioxel"
bl_options = {'UNDO'}
PRESETS = {
"preview_e": "Preview (EEVEE)",
"preview_c": "Preview (Cycles)",
"production_e": "Production (EEVEE)",
"production_c": "Production (Cycles)"
}
preset: bpy.props.EnumProperty(name="Preset",
default="preview_c",
items=[(k, v, "")
for k, v in PRESETS.items()]) # type: ignore
def execute(self, context):
if self.preset == "preview_e":
bpy.context.scene.render.engine = 'BLENDER_EEVEE_NEXT'
bpy.context.scene.eevee.use_taa_reprojection = False
bpy.context.scene.eevee.taa_samples = 16
bpy.context.scene.eevee.volumetric_tile_size = '2'
bpy.context.scene.eevee.volumetric_shadow_samples = 128
bpy.context.scene.eevee.volumetric_samples = 128
bpy.context.scene.eevee.volumetric_ray_depth = 16
bpy.context.scene.eevee.use_volumetric_shadows = True
elif self.preset == "production_e":
bpy.context.scene.render.engine = 'BLENDER_EEVEE_NEXT'
bpy.context.scene.eevee.use_taa_reprojection = False
bpy.context.scene.eevee.taa_samples = 16
bpy.context.scene.eevee.volumetric_tile_size = '1'
bpy.context.scene.eevee.volumetric_shadow_samples = 128
bpy.context.scene.eevee.volumetric_samples = 256
bpy.context.scene.eevee.volumetric_ray_depth = 16
bpy.context.scene.eevee.use_volumetric_shadows = True
elif self.preset == "preview_c":
bpy.context.scene.render.engine = 'CYCLES'
bpy.context.scene.cycles.shading_system = True
bpy.context.scene.cycles.volume_bounces = 12
bpy.context.scene.cycles.transparent_max_bounces = 16
bpy.context.scene.cycles.volume_preview_step_rate = 1
bpy.context.scene.cycles.volume_step_rate = 1
# bpy.context.scene.cycles.use_fast_gi = True
elif self.preset == "production_c":
bpy.context.scene.render.engine = 'CYCLES'
bpy.context.scene.cycles.shading_system = True
bpy.context.scene.cycles.volume_bounces = 16
bpy.context.scene.cycles.transparent_max_bounces = 32
bpy.context.scene.cycles.volume_preview_step_rate = 0.5
bpy.context.scene.cycles.volume_step_rate = 0.5
# bpy.context.scene.cycles.use_fast_gi = False
return {'FINISHED'}
class SliceViewer(bpy.types.Operator):
bl_idname = "bioxelnodes.slice_viewer"
bl_label = "Slice Viewer"
bl_description = "A preview scene setting for viewing slicers"
bl_icon = "FILE_VOLUME"
def execute(self, context):
bpy.context.scene.eevee.use_taa_reprojection = False
bpy.context.scene.eevee.taa_samples = 4
bpy.context.scene.eevee.volumetric_tile_size = '2'
bpy.context.scene.eevee.volumetric_shadow_samples = 128
bpy.context.scene.eevee.volumetric_samples = 128
bpy.context.scene.eevee.volumetric_ray_depth = 1
bpy.context.scene.eevee.use_volumetric_shadows = False
for area in bpy.context.screen.areas:
if area.type == 'VIEW_3D':
area.spaces[0].shading.type = 'MATERIAL'
area.spaces[0].shading.studio_light = 'studio.exr'
area.spaces[0].shading.studiolight_intensity = 2.5
area.spaces[0].shading.use_scene_lights = False
area.spaces[0].shading.use_scene_world = False
return {'FINISHED'}
def get_all_layers(layer_filter=None):
def _layer_filter(layer_obj):
return True
layer_filter = layer_filter or _layer_filter
layer_objs = get_all_layer_objs()
return [obj for obj in layer_objs if layer_filter(obj)]
class SaveAllLayersCache(bpy.types.Operator, SaveLayersCache):
bl_idname = "bioxelnodes.save_all_layers_cache"
bl_label = "Save All Layers Cache"
bl_description = "Save all cache of this file"
bl_icon = "FILE_TICK"
success_msg = "Successfully saved all layers."
def get_layers(self, context):
def is_not_missing(layer_obj):
return not is_missing_layer(layer_obj)
return get_all_layers(is_not_missing)
class RemoveAllMissingLayers(bpy.types.Operator, RemoveLayers):
bl_idname = "bioxelnodes.remove_all_missing_layers"
bl_label = "Remove All Missing Layers"
bl_description = "Remove all current container missing layers"
bl_icon = "BRUSH_DATA"
success_msg = "Successfully removed all missing layers."
def get_layers(self, context):
def is_missing(layer_obj):
return is_missing_layer(layer_obj)
return get_all_layers(is_missing)
def invoke(self, context, event):
context.window_manager.invoke_confirm(self,
event,
message=f"Are you sure to remove all **Missing** layers?")
return {'RUNNING_MODAL'}

View File

@@ -0,0 +1,62 @@
import bpy
from ..bioxelutils.common import get_file_prop, is_incompatible, local_lib_not_updated
from ..constants import VERSION
from ast import literal_eval
from ..bioxelutils.node import assign_node_group, get_node_group
from ..utils import get_use_link
class AddNode(bpy.types.Operator):
bl_idname = "bioxelnodes.add_node"
bl_label = "Add Node"
bl_options = {"REGISTER", "UNDO"}
node_name: bpy.props.StringProperty(
default='',
) # type: ignore
node_label: bpy.props.StringProperty(
default=''
) # type: ignore
node_description: bpy.props.StringProperty(
default="",
) # type: ignore
@property
def node_type(self):
return f"BioxelNodes_{self.node_name}"
def execute(self, context):
space = context.space_data
if space.type != "NODE_EDITOR":
self.report({"ERROR"}, "Not in node editor.")
return {'CANCELLED'}
if not space.edit_tree.is_editable:
self.report({"ERROR"}, "Not editable.")
return {'CANCELLED'}
if is_incompatible():
self.report({"ERROR"},
"Current addon verison is not compatible to this file. If you insist on editing this file please keep the same addon version.")
return {'CANCELLED'}
get_node_group(self.node_type, get_use_link())
bpy.ops.node.add_node(
'INVOKE_DEFAULT',
type='GeometryNodeGroup',
use_transform=True
)
node = bpy.context.active_node
assign_node_group(node, self.node_type)
node.label = self.node_label
node.show_options = False
if local_lib_not_updated():
self.report({"WARNING"},
"Local library version does not match the current addon version, which may cause problems, please save the node library again.")
return {"FINISHED"}

View File

@@ -1,9 +1,8 @@
import bpy
from pathlib import Path
from .externalpackage import ExternalPackagePreferences
class BioxelNodesPreferences(bpy.types.AddonPreferences, ExternalPackagePreferences):
class BioxelNodesPreferences(bpy.types.AddonPreferences):
bl_idname = __package__
cache_dir: bpy.props.StringProperty(
@@ -12,18 +11,19 @@ class BioxelNodesPreferences(bpy.types.AddonPreferences, ExternalPackagePreferen
default=str(Path(Path.home(), '.bioxelnodes'))
) # type: ignore
do_change_render_setting: bpy.props.BoolProperty(
name="Change Render Setting",
change_render_setting: bpy.props.BoolProperty(
name="Change Render Setting on First Import",
default=True,
) # type: ignore
node_import_method: bpy.props.EnumProperty(name="Node Import Method",
default="LINK",
items=[("LINK", "Link", ""),
("APPEND", "Append (Reuse Data)", "")]) # type: ignore
def draw(self, context):
layout = self.layout
# ExternalPackagePreferences Config
self.requirements_dir = str(Path(__file__).parent)
super().draw(context)
layout.label(text="Configuration")
layout.prop(self, 'cache_dir')
layout.prop(self, "do_change_render_setting")
layout.prop(self, "change_render_setting")
layout.prop(self, "node_import_method")

View File

@@ -1,5 +1,44 @@
import bpy
from .bioxelutils.common import get_node_type
class BIOXELNODES_UL_layer_list(bpy.types.UIList):
def draw_item(self, context, layout, data, item, icon, active_data, active_propname):
layout.label(text=item.label, translate=False, icon_value=icon)
class BIOXELNODES_Series(bpy.types.PropertyGroup):
id: bpy.props.StringProperty() # type: ignore
label: bpy.props.StringProperty() # type: ignore
def select_layer(self, context):
layer_list_UL = bpy.context.window_manager.bioxelnodes_layer_list_UL
layer_list = layer_list_UL.layer_list
layer_list_active = layer_list_UL.layer_list_active
if len(layer_list) > 0 and layer_list_active != -1 and layer_list_active < len(layer_list):
layer_obj = bpy.data.objects[layer_list[layer_list_active].obj_name]
node_group = context.space_data.edit_tree
for node in node_group.nodes:
node.select = False
if get_node_type(node) == "BioxelNodes_FetchLayer":
if node.inputs[0].default_value == layer_obj:
node.select = True
layer_list_UL.layer_list_active = -1
class BIOXELNODES_Layer(bpy.types.PropertyGroup):
obj_name: bpy.props.StringProperty() # type: ignore
label: bpy.props.StringProperty() # type: ignore
info_text: bpy.props.StringProperty() # type: ignore
class BIOXELNODES_LayerListUL(bpy.types.PropertyGroup):
layer_list: bpy.props.CollectionProperty(
type=BIOXELNODES_Layer) # type: ignore
layer_list_active: bpy.props.IntProperty(default=-1,
update=select_layer,
options=set()) # type: ignore

View File

@@ -1 +0,0 @@
SimpleITK==2.3.1 # Insight Segmentation and Registration Toolkit.

View File

@@ -1,178 +1,72 @@
from pathlib import Path
import shutil
import bpy
import mathutils
def get_type(cls):
return type(cls).__name__
def copy_to_dir(source_path, dir_path, new_name=None, exist_ok=True):
source = Path(source_path)
target = Path(dir_path)
# Check if the source exists
if not source.exists():
raise FileNotFoundError
# Check if the target exists
if not target.exists():
target.mkdir(parents=True, exist_ok=True)
target_path = target / new_name if new_name else target / source.name
# If source is a file, copy it to the target directory
if source.is_file():
try:
shutil.copy(source, target_path)
except shutil.SameFileError:
if exist_ok:
pass
else:
raise shutil.SameFileError
# If source is a directory, copy its contents to the target directory
elif source.is_dir():
shutil.copytree(source, target_path, dirs_exist_ok=exist_ok)
if not target_path.exists():
raise Exception
def get_node_by_type(nodes, type_name: str):
return [node for node in nodes if get_type(node) == type_name]
def show_message(message="", title="Message Box", icon='INFO'):
def draw(self, context):
self.layout.label(text=message)
bpy.context.window_manager.popup_menu(draw, title=title, icon=icon)
def calc_bbox_verts(origin, size):
bbox_origin = mathutils.Vector(
(origin[0], origin[1], origin[2]))
bbox_size = mathutils.Vector(
(size[0], size[1], size[2]))
bbox_verts = [
(
bbox_origin[0] + 0,
bbox_origin[1] + 0,
bbox_origin[2] + 0
),
(
bbox_origin[0] + 0,
bbox_origin[1] + 0,
bbox_origin[2] + bbox_size[2]
),
(
bbox_origin[0] + 0,
bbox_origin[1] + bbox_size[1],
bbox_origin[2] + 0
),
(
bbox_origin[0] + 0,
bbox_origin[1] + bbox_size[1],
bbox_origin[2] + bbox_size[2]
),
(
bbox_origin[0] + bbox_size[0],
bbox_origin[1] + 0,
bbox_origin[2] + 0
),
(
bbox_origin[0] + bbox_size[0],
bbox_origin[1] + 0,
bbox_origin[2] + bbox_size[2],
),
(
bbox_origin[0] + bbox_size[0],
bbox_origin[1] + bbox_size[1],
bbox_origin[2] + 0,
),
(
bbox_origin[0] + bbox_size[0],
bbox_origin[1] + bbox_size[1],
bbox_origin[2] + bbox_size[2],
),
]
return bbox_verts
def lock_transform(obj):
obj.lock_location[0] = True
obj.lock_location[1] = True
obj.lock_location[2] = True
obj.lock_rotation[0] = True
obj.lock_rotation[1] = True
obj.lock_rotation[2] = True
obj.lock_scale[0] = True
obj.lock_scale[1] = True
obj.lock_scale[2] = True
def hide_in_ray(obj):
obj.visible_camera = False
obj.visible_diffuse = False
obj.visible_glossy = False
obj.visible_transmission = False
obj.visible_volume_scatter = False
obj.visible_shadow = False
def get_container(current_obj):
if current_obj:
return current_obj if current_obj.get('bioxel_container') else None
return None
def get_layer(current_obj):
if current_obj:
if current_obj.get('bioxel_layer') and current_obj.parent:
if current_obj.parent.get('bioxel_container'):
return current_obj
return None
def get_container_layers(container):
layers = []
def select_object(target_obj):
for obj in bpy.data.objects:
if obj.parent == container and get_layer(obj):
layers.append(obj)
obj.select_set(False)
return layers
target_obj.select_set(True)
bpy.context.view_layer.objects.active = target_obj
def get_all_layers():
layers = []
for obj in bpy.data.objects:
if get_layer(obj):
layers.append(obj)
return layers
def progress_bar(self, context):
row = self.layout.row()
row.progress(
factor=context.window_manager.bioxelnodes_progress_factor,
type="BAR",
text=context.window_manager.bioxelnodes_progress_text
)
row.scale_x = 2
def get_text_index_str(text):
# Initialize an empty string to store the digits
digits = ""
# Iterate through the characters in reverse order
started = False
for char in text[::-1]:
if char.isdigit():
started = True
# If the character is a digit, add it to the digits string
digits += char
else:
if started:
# If a non-digit character is encountered, stop the loop
break
# Reverse the digits string to get the correct order
last_number = digits[::-1]
return last_number
def progress_update(context, factor, text=""):
context.window_manager.bioxelnodes_progress_factor = factor
context.window_manager.bioxelnodes_progress_text = text
def add_driver(target_prop, var_sources, expression):
driver = target_prop.driver_add("default_value")
is_vector = isinstance(driver, list)
drivers = driver if is_vector else [driver]
for i, driver in enumerate(drivers):
for j, var_source in enumerate(var_sources):
source = var_source['source']
prop = var_source['prop']
var = driver.driver.variables.new()
var.name = f"var{j}"
var.targets[0].id_type = source.id_type
var.targets[0].id = source
var.targets[0].data_path = f'["{prop}"][{i}]'\
if is_vector else f'["{prop}"]'
driver.driver.expression = expression
def get_preferences():
return bpy.context.preferences.addons[__package__].preferences
def add_direct_driver(target, target_prop, source, source_prop):
target_prop = target.inputs.get(target_prop)
drivers = [
{
"source": source,
"prop": source_prop
}
]
expression = "var0"
add_driver(target_prop, drivers, expression)
def get_cache_dir():
preferences = get_preferences()
cache_path = Path(preferences.cache_dir, 'VDBs')
cache_path.mkdir(parents=True, exist_ok=True)
return str(cache_path)
def get_use_link():
preferences = get_preferences()
return preferences.node_import_method == "LINK"

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from pathlib import Path
import shutil
import subprocess
import sys
from dataclasses import dataclass
import tomlkit
@dataclass
class Platform:
pypi_suffix: str
blender_tag: str
required_packages = ["SimpleITK==2.3.1",
"pyometiff==1.0.0",
"mrcfile==1.5.1",
"h5py==3.11.0",
"transforms3d==0.4.2",
"tifffile==2024.7.24"]
platforms = {"windows-x64": Platform(pypi_suffix="win_amd64",
blender_tag="windows-x64"),
"linux-x64": Platform(pypi_suffix="manylinux2014_x86_64",
blender_tag="linux-x64"),
"macos-arm64": Platform(pypi_suffix="macosx_12_0_arm64",
blender_tag="macos-arm64"),
"macos-x64": Platform(pypi_suffix="macosx_10_16_x86_64",
blender_tag="macos-x64")}
packages_to_remove = {
"imagecodecs",
"numpy"
}
def run_python(args: str):
python = Path(sys.executable).resolve()
subprocess.run([python] + args.split(" "))
def build_extension(platform: Platform, python_version="3.11") -> None:
wheel_dirpath = Path("./bioxelnodes/wheels")
toml_filepath = Path("bioxelnodes/blender_manifest.toml")
scipy_ndimage_dirpath = Path("./scipy_ndimage", platform.blender_tag)
# download required_packages
run_python(
f"-m pip download {' '.join(required_packages)} --dest {wheel_dirpath.as_posix()} --only-binary=:all: --python-version={python_version} --platform={platform.pypi_suffix}"
)
for f in wheel_dirpath.glob('*.whl'):
if any([package in f.name for package in packages_to_remove]):
f.unlink(missing_ok=True)
elif platform.blender_tag == "macos-arm64" and \
"lxml" in f.name and "universal2" in f.name:
f.rename(Path(f.parent,
f.name.replace("universal2", "arm64")))
for ndimage_filepath in scipy_ndimage_dirpath.iterdir():
to_filepath = Path("./bioxelnodes/bioxel/scipy", ndimage_filepath.name)
shutil.copy(ndimage_filepath, to_filepath)
# Load the TOML file
with toml_filepath.open("r") as file:
manifest = tomlkit.parse(file.read())
manifest["platforms"] = [platform.blender_tag]
manifest["wheels"] = [f"./wheels/{f.name}"
for f in wheel_dirpath.glob('*.whl')]
# build = tomlkit.table(True)
# generated = tomlkit.table()
# generated["platforms"] = [platform.blender_tag]
# generated["wheels"] = [f"./wheels/{f.name}"
# for f in wheel_dirpath.glob('*.whl')]
# build.append('generated', generated)
# manifest.append('build', build)
# Write the updated TOML file
with toml_filepath.open("w") as file:
text = tomlkit.dumps(manifest)
file.write(text)
def main():
platform_name = sys.argv[1]
platform = platforms[platform_name]
build_extension(platform)
if __name__ == "__main__":
main()

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This type of node is responsible for setting the color properties of the shader

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# Concepts & Pipeline
## Container, Layer, Component
Bioxel Nodes imports volumetric data and put it into a **Container** as a **Layer**. One container may has more than one layer, and each layer stores the information of different fields under the same location, which is similar to the view layers in map app, except that here it is in 3D space.
In order to visualize the volumetric data the way we want it to, we need to build renderable objects from layers. We call those objects **Component**. The following diagram shows the relationship of **Container**, **Layer**, and **Component**:
![alt text](assets/features_concept.png)
### Container Structure
In Blender, container structure is like this:
```bash
Case_0000 # Container
|-- Case_0000_CT # Layer
|-- Case_0000_Label_1 # Layer
`-- Case_0000_Label_2 # Layer
```
The container also stores the build process in geometry nodes:
![alt text](assets/features_container.png)
### Layer Type
The layer is categorized into these by data type:
- Scalar
- Label
- Vector (Not implemented yet)
- Color (Not implemented yet)
## Component Building Pipline
In order to build a component, the general process is to first use a "Mask Method" node to build the surface of the component based on its layers, and then connect to a "Assign Shader" node to add the physical properties. Finally, if you need to cut the cross-section, then connect to a "Cut" node. The whole process is shown in the following diagram
![alt text](assets/nodes_concept.png)
A typical example looks like this:
![alt text](assets/nodes_example.png)
The "Mask Method" node tends to be very computationally intensive, and if it consumes too much time, then you can bake it with a "Bake" node after it (but you need to save the Blender file first).
![alt text](assets/nodes_bake.png)

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This type of node is responsible for cutting components to present cross-section

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# Getting Started
Currently only support Blender 4.0 or above, make sure you have the correct version of Blender.
## Add-on Installation
#### For Blender 4.2 or higher
Download the **Extension** version `BioxelNodes_Extension_{version}.zip` from https://github.com/OmooLab/BioxelNodes/releases/latest
In Blender, Edit > Preferences > Extensions > Install from Disk, select the zip file you just downloaded.
Thats it!
> If it cannot be enable, just reboot blender.
#### For Blender 4.0 or 4.1
Download the **Addon** version `BioxelNodes_Addon_{version}.zip` from https://github.com/OmooLab/BioxelNodes/releases/latest
In Blender, Edit > Preferences > Add-ons > Install, select the zip file you just downloaded.
The add-on requires a third-party python dependency called SimpleITK, click `Install SimpleITK` button below to install the dependency. After clicking, blender may get stuck, it is downloading and installing, just wait for a moment. After that, click `Reboot Blender` button.
![dependency](assets/getting-started_dependency.png)
This step may have failed due to network factors, just click "Set PyPI Mirror" to change the mirror.
## Prepare Your Data
First you need to have your volumetric data ready. If not, you can access open research data from list below.
> Note that just because they are open and available for download does not mean you can use them for anything! Be sure to look at the description of the available scopes from website.
| Source | Object |
| ------------------------------------------------------------------------------------ | ------------------ |
| [Dryad](https://datadryad.org) | Open Research Data |
| [OpenOrganelle](https://openorganelle.janelia.org/datasets) | Cells |
| [Embodi3D](https://www.embodi3d.com/files/category/37-medical-scans/) | Medical Images |
| [Github](https://github.com/sfikas/medical-imaging-datasets) | Medical Images |
| [NIHR](https://nhsx.github.io/open-source-imaging-data-sets/) | Medical Images |
| [Medical Segmentation Decathlon](http://medicaldecathlon.com/) | Medical Images |
| [Allen Cell Explorer](https://www.allencell.org/3d-cell-viewer.html) | Cells |
| [Visible Human Project](https://www.nlm.nih.gov/research/visible/visible_human.html) | Medical Images |
## Import Volume Data
File > Import > Volume Data as Bioxel Layer, select **one** of the .dcm files and click on "Volume Data as Bioxel Layer" (you can also drag one of the .dcm files directly into the 3D viewport to trigger the import)
![importing](assets/getting-started_importing.png)
It may take a while to read data. After finishing reading, it will pop up a dialog box. Ignore all the options, just click OK (we will tell about these options later).
After importing the data, the add-on will automatically add the necessary nodes to build the component. Click on the new created object in outliner, open the geometry nodes panel, set `Threshold` in "Mask by Threshold" node to 200, and then connect a Slime Shader node (Add > Bioxel Nodes > Slime Shader) after it. The node graph should be as following:
![alt text](assets/getting-started_graph.png)
and then turned on the cycles rendering to directly see the result.
![result](assets/getting-started_result.png)
You can change the "Threshold" to modify the preview model, or change the "Color", "Density" to modify the shader effect. All the parameters are straightforward, you can understand them by changing the values.
## Share Your File
The VDB cache and the Bioxel nodes are not reachable to other computers if you don't save them. If you want to give your blender file to someone else, you will need to perform the following steps first:
1. Save your blender file
2. Click Scene > Bioxels > Save All Bioxels in the properties panel.
3. Click Scene > Custom Nodes > Save All Custom Nodes in the properties panel.
![alt text](assets/getting-started_share-file.png)
After that, both the VDB cache and the Bioxel nodes are restored in relative locations. When you share this file with someone, pack the entire directory so that the resources will be not lost. The other person will be able to open it correctly, regardless of whether they have Bioxel Nodes installed or not.

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# Features & Options
## Bioxel Design Concept
According to Bioxel design concept, Bioxel Nodes imports volume data and put it into a **Container** as a **Layer**. One container may has more than one layer, and each layer stores the information of different fields under the same location, which is similar to the view layers in map app, except that here it is in 3D space. In order to render the volume the way we want it to, we need to build renderable objects from layers. We call those objects **Component**. The following diagram shows the relationship of **Container**, **Layer**, and **Component**:
![alt text](assets/features_concept.png)
Bioxel Nodes staging the layer as an openvdb file. The process of building from layers to a component is taking place in blender geometry nodes graph with blender native geometry nodes. Therefore, **the blender file works without Bioxel Nodes.**
## Container Structure
In Blender, container structure is like this:
```bash
Case_0000 # Container
|-- Case_0000_CT # Layer
|-- Case_0000_Label_1 # Layer
`-- Case_0000_Label_2 # Layer
```
The container also stores the build process in geometry nodes:
![alt text](assets/features_container.png)
The layer is categorized into these by data type:
- Scalar
- Label
- Vector (Not implemented yet)
- Color (Not implemented yet)
## First Time Import Volume Data
@@ -69,13 +38,4 @@ A bioxel is like a pixel, the larger the `Bioxel Size`, the lower the resolution
## Adding Volume Data to an existing container
In 3D view or outliner panel, select the container and right click, Bioxel Nodes > Add Volume Data to Container.
The import settings are the same as for the first time import.
## Convert Bioxel Components to Mesh
In 3D view or outliner panel, select the container and right click, Bioxel Nodes > Bioxel Components To Mesh
Once it has been turned into a mesh model, you can perform any traditional 3D editing operations on it, such as sculpting, boolean, etc.
## Export Biovel Layer as VDB
File > Export > Biovel Layer as VDB
The import settings are the same as for the first time import.

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[中文文档](https://uj6xfhbzp0.feishu.cn/wiki/Qx3VwHuNPimeI8kr6nDcvl1DnHf?from=from_copylink)
# Bioxel Nodes
![Static Badge](https://img.shields.io/badge/Blender-orange?style=for-the-badge&logo=blender&logoColor=white)
![GitHub License](https://img.shields.io/github/license/OmooLab/BioxelNodes?style=for-the-badge)
![GitHub Release](https://img.shields.io/github/v/release/OmooLab/BioxelNodes?style=for-the-badge)
![GitHub Repo stars](https://img.shields.io/github/stars/OmooLab/BioxelNodes?style=for-the-badge)
[![For Blender](https://img.shields.io/badge/Blender-orange?style=for-the-badge&logo=blender&logoColor=white&color=black)](https://blender.org/)
![GitHub License](https://img.shields.io/github/license/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
![GitHub Release](https://img.shields.io/github/v/release/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
![GitHub Repo stars](https://img.shields.io/github/stars/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
Bioxel Nodes is a Blender add-on for scientific volumetric data visualization. It using Blender's powerful Geometry Nodes | Cycles to process and render volumetric data.
[![Discord](https://img.shields.io/discord/1265129134397587457?style=for-the-badge&logo=discord&label=Discord&labelColor=white&color=black)](https://discord.gg/pYkNyq2TjE)
## About
Bioxel Nodes is a Blender addon for scientific volumetric data visualization. It using Blender's powerful **Geometry Nodes** and **Cycles** to process and render volumetric data.
Before us, there have been many tutorials and add-ons for importing volumetric data into Blender. However, we found that there were many details that were not addressed in place, some scientific facts were ignored, and the volume rendering was not pretty enough. With Bioxel Nodes, you can easily import the volumetric data into Blender, and more importantly, it can quickly make a beautiful realistic rendering of it.
![cover](https://omoolab.github.io/BioxelNodes/latest/assets/cover.png)
Below are some examples with Bioxel Nodes. Thanks to Cycles Render, the volumetric data can be rendered with great detail:
- Realistic rendering result, also support EEVEE NEXT.
- Support multiple formats.
- Support 4D volumetric data.
- All kinds of cutters.
- Simple and powerful nodes.
- Based on blender natively, can work without addon.
![cover](assets/cover.png)
**Read the [getting started](https://omoolab.github.io/BioxelNodes/latest/installation) to begin your journey into visualizing volumetric data!**
The "Bioxel" in "Bioxel Nodes", is a combination of the words "Bio-" and "Voxel". Bioxel is a voxel that stores biological data. We are developing a toolkit around Bioxel for better biological data visualization. but before its release, we made this Blender version of bioxels toolkit first, in order to let more people to have fun with volumetric data. [Getting Started](https://omoolab.github.io/BioxelNodes/latest/getting-started)
Welcome to our [discord server](https://discord.gg/pYkNyq2TjE), if you have any problems with this add-on.
## Supported Format
## Support Multiple Formats
| Format | EXT | Test |
| ------ | ---------------------------------------- | ------- |
| DICOM | .dcm, .DICOM | ✅ pass |
| DICOM | .dcm, .DCM, .DICOM, .ima, .IMA | ✅ pass |
| BMP | .bmp, .BMP | ✅ pass |
| JPEG | .jpg, .JPG, .jpeg, .JPEG | ✅ pass |
| PNG | .png, .PNG | ✅ pass |
| TIFF | .tif, .TIF, .tiff, .TIFF | ✅ pass |
| Nifti | .nia, .nii, .nii.gz, .hdr, .img, .img.gz | ✅ pass |
| Nrrd | .nrrd, .nhdr | ✅ pass |
| Meta | .mha, .mhd | yet |
| HDF5 | .hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5 | ✅ pass |
| VTK | .vtk | yet |
| BioRad | .PIC, .pic | yet |
| Gipl | .gipl, .gipl.gz | yet |
| LSM | .lsm, .LSM | yet |
| MINC | .mnc, .MNC | yet |
| MRC | .mrc, .rec | yet |
| OME | .ome.tiff, .ome.tif | ✅ pass |
| MRC | .mrc, .mrc.gz, .map, .map.gz | ✅ pass |
## Support 4D volumetric data
![4d](https://omoolab.github.io/BioxelNodes/latest/assets/4d-time.gif)
🥰 4D volumetric data can also be imported into Blender.
## Support EEVEE NEXT
![eevee](https://omoolab.github.io/BioxelNodes/latest/assets/eevee.gif)
👍 EEVEE NEXT is absolutely AWESOME! Bioxel Nodes is fully support EEVEE NEXT now! However, there are some limitations:
1. Only one cutter supported.
2. EEVEE result is not that great as Cycles does.
## Known Limitations
- Sections cannot be generated (will be supported soon)
- Time sequence volume not supported (will be supported soon)
- Only works with Cycles CPU , Cycles GPU (OptiX), EEVEE
- Section surface cannot be generated when convert to mesh (will be supported soon)
## To Upgrade Add-on
## Compatible to Newer Version
To upgrade from an older version of the add-on to the latest, you need to do the following:
**v0.3.x is not compatible to v0.2.x, Updating this addon may break old files. Read the following carefully before upgradation**
1. Remove the old version of Bioxel Nodes at Preferences > Add-ons
2. Add the new version and restart Blender.
Before upgradation, you need to ask yourself whether this project file will be modified again or not, if it's an archived project file, I would recommend that you run **Bioxel Nodes > Save Staged Data** to make the addon nodes permanent. In this way, there will be no potential problem with the nodes not functioning due to the addon update.
It is not support editing the same blender file across add-on versions. In order to make sure that the previous file works properly. You need to save the staged data before upgrading ( read the last section of [Getting Started](https://omoolab.github.io/BioxelNodes/latest/getting-started/#share-your-file) ).
After the addon update, your old project files may not work either, this may be because you had executed **Save Staged Data**. If so, you need to execute **Bioxel Nodes > Relink Nodes to Addon** to relink them to make sure that the addon's new functionality and the addon nodes are synchronized.
But even then, there is still no guarantee that the new version of the add-on will work on the old blender file. Therefore, it is highly recommended to open a new blender file to start the creating, not based on the old one.
Also, the older shaders are not based on OSL, so if you find that you can't render volumes, you need to turn on **Open Shading Language (OSL)** in the Render Settings.
Alternatively, objects from the old file that have nothing to do with Bioxel Nodes could be append to the new blender file.
## Roadmap
- Better multi-format import experience
- One-click bake model with texture
- AI Segmentation to Generate Labels

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# Installation
> **Currently only support Blender 4.1 or above, make sure you have the correct version of Blender.**
## For Blender 4.2 or higher
The most recommended way is to open **Edit > Preferences > Extension**, enter "bio" in the search box and click **Install**. since the addon is quite large (20MB) you may need to wait a while!
![extension](assets/installation_extension.png)
Thats it!
> If it cannot be enable, reboot blender or install again as administrator
Also, you can do it maually. Download the **Extension** version `BioxelNodes_Extension_{version}.zip` from https://github.com/OmooLab/BioxelNodes/releases/latest
In Blender, **Edit > Preferences > Extensions > Install from Disk**, select the zip file you just downloaded.
## For Blender 4.1
Download the **Addon** version `BioxelNodes_Addon_{version}.zip` from https://github.com/OmooLab/BioxelNodes/releases/latest
In Blender, Edit > Preferences > Add-ons > Install, select the zip file you just downloaded.
The add-on requires a third-party python dependency called SimpleITK, click `Install SimpleITK` button below to install the dependency. After clicking, blender may get stuck, it is downloading and installing, just wait for a moment. After that, click `Reboot Blender` button.
![dependency](assets/installation_dependency.png)
This step may have failed due to network factors, just click "Set PyPI Mirror" to change the mirror.

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This type of node is responsible for culling out the extent of the component that does not need to be rendered, forming the interface between the object and the object, or the surface of the object (i.e., the interface between the object and the air)

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# Future Features
- Support more volumetric data formats (.map, .txm...)
- Generate sections
- More segmentation methods, e.g. AI segmentation.
- Even better shader for volumetric rendering
### Bioxels
Bioxels is based on the RAS coordinate system, Right Aanterior Superior, which was chosen over LPS because it is more compatible with most 3D CG software coordinate systems, and is in line with the 3D artist's understanding of space.
All distances within Bioxels are in Units, and are specified in Meter pre unit. However, when Bioxels is imported into 3D CG software, its size in the software is not scaled by reading the Meter pre unit directly. The reason for this is that many 3D operations in software require that the primtives not be too large or too small.
### Based on OpenVDB
Bioxels is based entirely on OpenVDB for storage and rendering. The main reason for choosing OpenVDB is that as a volumetric data format, it is the fastest way to work with most CG renderers.
### Based on Geometry Nodes
Bioxel Nodes relies on Blender Geometry Nodes to reconstruct and render volumetric data. Node-based operations ensure that the original data is not permanently altered during reconstruction and rendering operations. The fact that the processing is based on Geometry Nodes without any additional dependencies also ensures that Blender can open files without this plugin installed. Look for more support for OpenVDB in GeometryNodes so that Bioxel Nodes can do more in the future.

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# Nodes
## Nodes Design Concept
In order to build a component, the general process is to first use a "Mask Method" node to build the surface of the component based on its layers, and then connect to a "Assign Shader" node to add the material physical properties. Finally, if you need to cut the cross-section, then connect to a "Cut" node. The whole process is shown in the following diagram
![alt text](assets/nodes_concept.png)
A typical example looks like this:
![alt text](assets/nodes_example.png)
The "Mask Method" node tends to be very computationally intensive, and if it consumes too much time, then you can bake it with a "Bake" node after it (but you need to save the Blender file first).
![alt text](assets/nodes_bake.png)
## Mask Methods
This type of node is responsible for culling out the extent of the component that does not need to be rendered, forming the interface between the object and the object, or the surface of the object (i.e., the interface between the object and the air)
### ⬆️ Mask by Threshold
<div class="grid cards" markdown>
@@ -91,8 +75,6 @@ This type of node is responsible for culling out the extent of the component tha
## Shaders
This type of node is responsible for setting material physical properties to the component to reflect the differences in rendering effects of different components.
### 🥚 Solid Shader
<div class="grid cards" markdown>
@@ -192,8 +174,6 @@ This type of node is responsible for setting material physical properties to the
## Cutters
This type of node is responsible for cutting components to present cross-section
### 🪚 Cut
<div class="grid cards" markdown>
@@ -212,25 +192,6 @@ This type of node is responsible for cutting components to present cross-section
</div>
### 🧀 Plane Cutter
<div class="grid cards" markdown>
- ![alt text](assets/nodes_plane-cutter.png)
- Flat plane cutter, cuts off above Z-axis in local.
***
Node Parameter:
- **Origin**, _plane cutter position_
- **Direction**, _plane cutter orientation_
- Guide
- **Show**, _show the cutter guide_
- **Scale**, _scale the cutter guide_
</div>
### 🧀 Plane Object Cutter
@@ -253,8 +214,6 @@ This type of node is responsible for cutting components to present cross-section
## Colors
This type of node is responsible for setting the color properties of the shader
### 🎨 Color Presents
<div class="grid cards" markdown>

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# Prepare Your Data
## Support Formats
First thing first, you need to get your volumetric data ready in disk. Bioxel Nodes is developed based on Simple ITK, so theoretically all formats supported by Simple ITK are supported by the addon. If your data is not in the support list, you may do the data conversion first.
| Format | EXT | Test |
| ------ | ---------------------------------------- | ------- |
| DICOM | .dcm, .DCM, .DICOM, .ima, .IMA | ✅ pass |
| BMP | .bmp, .BMP | ✅ pass |
| JPEG | .jpg, .JPG, .jpeg, .JPEG | ✅ pass |
| PNG | .png, .PNG | ✅ pass |
| TIFF | .tif, .TIF, .tiff, .TIFF | ✅ pass |
| Nifti | .nia, .nii, .nii.gz, .hdr, .img, .img.gz | ✅ pass |
| Nrrd | .nrrd, .nhdr | ✅ pass |
| Meta | .mha, .mhd | yet |
| HDF5 | .hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5 | ✅ pass |
| VTK | .vtk | yet |
| BioRad | .PIC, .pic | yet |
| Gipl | .gipl, .gipl.gz | yet |
| LSM | .lsm, .LSM | yet |
| MINC | .mnc, .MNC | yet |
| MRC | .mrc, .rec | yet |
| OME | .ome.tiff, .ome.tif | ✅ pass |
| MRC | .mrc, .mrc.gz, .map, .map.gz | ✅ pass |
## Download Data from Internet
If you don't have any volumetric data, you can access open research data from list below.
> Note that just because they are open and available for download does not mean you can use them for anything! Be sure to look at the description of the available scopes from website.
| Source | Object |
| ------------------------------------------------------------------------------------ | ------------------ |
| [MorphoSource](https://www.morphosource.org/) | Open Research Data |
| [Dryad](https://datadryad.org) | Open Research Data |
| [Cell Image Library](http://cellimagelibrary.org/home) | Cells |
| [OpenOrganelle](https://openorganelle.janelia.org/datasets) | Cells |
| [Allen Cell Explorer](https://www.allencell.org/3d-cell-viewer.html) | Cells |
| [EMDB](https://www.ebi.ac.uk/emdb/) | Protein, Viruses |
| [Embodi3D](https://www.embodi3d.com/files/category/37-medical-scans/) | Medical Images |
| [Github](https://github.com/sfikas/medical-imaging-datasets) | Medical Images |
| [NIHR](https://nhsx.github.io/open-source-imaging-data-sets/) | Medical Images |
| [Medical Segmentation Decathlon](http://medicaldecathlon.com/) | Medical Images |
| [Visible Human Project](https://www.nlm.nih.gov/research/visible/visible_human.html) | Medical Images |

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This type of node is responsible for setting material physical properties to the component to reflect the differences in rendering effects of different components.

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# Step by Step
## 1. Import Volumetric Data
**Bioxel Nodes > Import Volumetric Data (Init) > as Scalar**, select the data file, click on **Import as Scalar**. If the data is a sequence of files in directory, just pick **one** file in that directory, not the whole directory or multiple selection of files.
> you can also drag one of the data file directly into the 3D viewport to trigger the importing
![importing](assets/getting-started_importing.png)
It may take a while to read data. After finishing reading, it will pop up a dialog box. Ignore all the options, just click OK (we will talk about them later).
After the importing, the add-on will automatically add the necessary nodes to build the preview.
![masking](assets/getting-started_masking.png)
If there is nothing in the bbox wireframe, select the wireframe in 3D viewport, open the geometry nodes panel, set **Threshold** in the node lower to modify the preview.
## 2. Shading the Structure
The only node "Scalar" is responsible for mask out the unwanted area and generate the structure surface. You need to assign a shader to truly see the structure, connect a **Slime Shader** node (**Add > Bioxel Nodes > Shaders > Slime Shader**) after it. Turned on the cycles rendering to see the result.
![shading](assets/getting-started_shading.png)
You may change the **Color**, **Density** to modify the shader effect. All the parameters are straightforward, you can understand them by changing their values.
## 3. Cut to Cross-section
We often need to cut the structure to see the inside of the volumetric data. With Bioxel Nodes, it can be done by one click: select the structure in 3D viewport, right click, **Bioxel Nodes > Add a Plane Cutter**
. The add-on will add a cut node and a cutter object node to the node graph, which are responsible for the cutting process.
![cutting](assets/getting-started_cutting.png)
> Change the shader from **Slime** to **Universal** to render the cross-section. But it will increase rendering time
## 4. Save Staged Data (Optional)
The VDB cache and the custom nodes are not reachable to other computers if you don't save them. Those staged data should be saved, If you want to give your blender file to someone else, or you want to archive your blender file.
Save your blender file, then just click **Bioxel Nodes > Save Staged Data**
![save staged data](assets/getting-started_save_staged_data.png)
Just click **OK**, after that, both the VDB cache and the custom nodes are restored in relative locations. When you share this file with someone, pack the entire directory so that the resources will be not lost. The other person will be able to open it correctly, regardless of whether they have Bioxel Nodes installed or not.
## 5. Convert to Editable Mesh (Optional)
If you want digital sculpting, 3D printing, exporting to game engine, you should convert to editable mesh first.
Select the wireframe in 3D viewport, right click **Bioxel Nodes > Pick Mesh**.
![to mesh](assets/getting-started_convert_to_mesh.png)
It will create a new object with geometry nodes to refer the mesh. You can apply the geometry node to break the connection.

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# Terms
### Bioxels
Bioxels is based on the RAS coordinate system, Right Aanterior Superior, which was chosen over LPS because it is more compatible with most 3D CG software coordinate systems, and is in line with the 3D artist's understanding of space.
All distances within Bioxels are in Units, and are specified in Meter pre unit. However, when Bioxels is imported into 3D CG software, its size in the software is not scaled by reading the Meter pre unit directly. The reason for this is that many 3D operations in software require that the primtives not be too large or too small.

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@@ -1,22 +0,0 @@
import bpy
from . import auto_load
from . import menus
auto_load.init()
def register():
auto_load.register()
menus.add()
bpy.types.Scene.bioxel_layer_dir = bpy.props.StringProperty(
name="Bioxel Layers Directory",
subtype='DIR_PATH',
default="//"
)
def unregister():
menus.remove()
auto_load.unregister()

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@@ -1,56 +0,0 @@
schema_version = "1.0.0"
# Example of manifest file for a Blender extension
# Change the values according to your extension
id = "bioxelnodes"
version = "0.2.0"
name = "Bioxel Nodes"
tagline = "For scientific volumetric data visualization in Blender"
maintainer = "Ma Nan <icrdr2010@outlook.com>"
# Supported types: "add-on", "theme"
type = "add-on"
# Optional: add-ons can list which resources they will require:
# * "files" (for access of any filesystem operations)
# * "network" (for internet access)
# * "clipboard" (to read and/or write the system clipboard)
# * "camera" (to capture photos and videos)
# * "microphone" (to capture audio)
permissions = ["files"]
# Optional link to documentation, support, source files, etc
website = "https://omoolab.github.io/BioxelNodes/latest"
# Optional list defined by Blender and server, see:
# https://docs.blender.org/manual/en/dev/extensions/tags.html
tags = ["Geometry Nodes", "Render", "Material"]
blender_version_min = "4.2.0"
# Optional: maximum supported Blender version
# blender_version_max = "5.1.0"
# License conforming to https://spdx.org/licenses/ (use "SPDX: prefix)
# https://docs.blender.org/manual/en/dev/extensions/licenses.html
license = ["SPDX:MIT"]
# Optional: required by some licenses.
copyright = ["2024 OmooLab"]
# Optional list of supported platforms. If omitted, the extension will be available in all operating systems.
platforms = ["windows-amd64", "macos-x86_64"]
# Other supported platforms: "windows-arm64", "macos-x86_64"
# TODO: externalpackage to wheels
# Optional: bundle 3rd party Python modules.
# https://docs.blender.org/manual/en/dev/extensions/python_wheels.html
wheels = [
"./wheels/SimpleITK-2.3.1-cp311-cp311-win_amd64.whl",
"./wheels/SimpleITK-2.3.1-cp311-cp311-macosx_11_0_arm64.whl",
]
# Optional: build setting.
# https://docs.blender.org/manual/en/dev/extensions/command_line_arguments.html#command-line-args-extension-build
# [build]
# paths_exclude_pattern = [
# "/.git/"
# "__pycache__/"
# ]

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@@ -1,23 +0,0 @@
import bpy
from pathlib import Path
class BioxelNodesPreferences(bpy.types.AddonPreferences):
bl_idname = __package__
cache_dir: bpy.props.StringProperty(
name="Set Cache Directory",
subtype='DIR_PATH',
default=str(Path(Path.home(), '.bioxelnodes'))
) # type: ignore
do_change_render_setting: bpy.props.BoolProperty(
name="Change Render Setting",
default=True,
) # type: ignore
def draw(self, context):
layout = self.layout
layout.label(text="Configuration")
layout.prop(self, 'cache_dir')
layout.prop(self, "do_change_render_setting")

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@@ -1,4 +1,4 @@
site_name: Bioxel Nodes Docs
site_name: Bioxel Nodes Handbook
site_url: https://omoolab.github.io/BioxelNodes/
site_author: OmooLab
site_description: Bioxel Nodes is a Blender add-on for scientific volumetric data visualization.
@@ -7,15 +7,28 @@ repo_name: OmooLab/BioxelNodes
repo_url: https://github.com/OmooLab/BioxelNodes
nav:
- BioxelNodes:
- index.md
- Getting Started: getting-started.md
- Features & Options: features.md
- index.md
- Getting Started:
- Installation: installation.md
- Prepare Your Data: prepare_data.md
- Step by Step: step_by_step.md
- Concepts & Pipeline: concept.md
- Visualizing any Bio-structure:
- Import & Preprocess: import.md
- Mask Methods: mask.md
- Assgin a Shader: shader.md
- Cut the Component: cut.md
- Set Colors: color.md
- Integration into Other Pipeline: intergration.md
- Render Tips: render.md
- Reference:
- Terms: terms.md
- Nodes: nodes.md
- Future Features: misc.md
- Benchmark: benchmark.md
theme:
name: material
favicon: assets/logo.png
logo: assets/logo.png
language: en
font:

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@@ -1,28 +1,29 @@
[tool.poetry]
name = "bioxelnodes"
version = "0.2.0"
version = "1.0.0"
description = ""
authors = ["Ma Nan <icrdr2010@outlook.com>"]
license = "MIT"
readme = "README.md"
[tool.poetry.dependencies]
python = "~=3.10.0"
bpy = "~=4.0"
simpleitk = "^2.3.1"
python = ">=3.11.0,<3.12.dev0"
simpleitk = "2.3.1"
pyometiff = "1.0.0"
mrcfile = "1.5.1"
h5py = "3.11.0"
transforms3d = "0.4.2"
[tool.poetry.group.dev.dependencies]
ipykernel = "^6.25.2"
pytest = "^7.4.2"
pytest-dependency = "^0.5.1"
mkdocs = "^1.5.3"
mkdocs-material = "^9.4.6"
mkdocstrings = { extras = ["python"], version = "^0.23.0" }
mkdocs-click = "^0.8.1"
autopep8 = "^2.0.4"
pytest-cov = "^4.1.0"
mike = "^2.0.0"
bpy = "^4.2.0"
pytest = "^8.3.2"
pytest-dependency = "^0.6.0"
pytest-cov = "^5.0.0"
mkdocs = "^1.6.0"
mkdocs-material = "^9.5.30"
autopep8 = "^2.3.1"
mike = "^2.1.2"
tomlkit = "^0.13.0"
[build-system]
requires = ["poetry-core"]

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SimpleITK==2.3.1 # Insight Segmentation and Registration Toolkit.
pyometiff==1.0.0 # .ome.tiff
mrcfile==1.5.1 # .map
h5py==3.11.0 # .h5
transforms3d==0.4.2 # transforms