feat: Add Bioxel asset catalog and layer management functionality

- Introduced a new asset catalog definition file for Blender to manage Bioxel assets.
- Implemented layer caching and snapshot functionality in `layer.py`, allowing for VDB file generation and low-resolution snapshots.
- Created node management functions in `node.py` for handling Bioxel nodes within Blender's Geometry Node Editor.
- Added an operator to extract mesh data from selected nodes in `structure.py`.
- Developed UI panels in `panels.py` for layer management, including import options and layer library display.
This commit is contained in:
2026-01-21 12:42:12 +08:00
parent afae532a2c
commit a558d1ae30
43 changed files with 2933 additions and 3701 deletions

View File

@@ -78,8 +78,8 @@ class Layer():
mask_frame = mask[f, :, :, :]
if smooth > 0:
mask_frame = scipy.median_filter(mask_frame.astype(np.float32),
mode="nearest",
size=smooth)
mode="nearest",
size=smooth)
# mask_frame = scipy.median_filter(
# mask_frame.astype(np.float32), size=2)
mask_frames += (mask_frame,)
@@ -88,8 +88,8 @@ class Layer():
mask_frame = mask[:, :, :]
if smooth > 0:
mask_frame = scipy.median_filter(mask_frame.astype(np.float32),
mode="nearest",
size=smooth)
mode="nearest",
size=smooth)
# mask_frame = scipy.median_filter(
# mask_frame.astype(np.float32), size=2)
mask_frames += (mask_frame,)
@@ -150,3 +150,32 @@ class Layer():
mat_scale = transforms3d.zooms.zfdir2aff(factors[0])
self.affine = np.dot(self.affine, mat_scale)
def snapshot(self, shape: tuple, smooth: int = 0):
if len(shape) != 3:
raise Exception("Shape must be 3 dim")
data = self.data
snapshot = data[0, :, :, :, :]
factors = np.divide(self.shape, shape)
zoom_factors = [1 / f for f in factors]
order = 0 if snapshot.dtype == bool else 1
snapshot = ndi.zoom(snapshot,
zoom_factors+[1.0],
mode="nearest",
grid_mode=False,
order=order)
snapshot = snapshot.astype(np.float32)
if self.kind in ['scalar', 'vector', 'color']:
mn = float(np.nanmin(snapshot))
mx = float(np.nanmax(snapshot))
if mx - mn > 1e-8:
snapshot = (snapshot - mn) / (mx - mn)
else:
snapshot = np.clip(snapshot, 0.0, 1.0)
return snapshot