add snapshot tool, masks, and build for mac

This commit is contained in:
2026-03-23 21:52:17 -07:00
parent 080eefbef6
commit a34b1c980d
29 changed files with 2016 additions and 170 deletions

View File

@@ -9,12 +9,16 @@ from pathlib import Path
from backend.node_registry import register_node
from backend.data_types import DataField, encode_preview, image_to_uint8
from backend.runtime_paths import input_dir, output_dir
from backend.runtime_paths import demo_dir, input_dir, output_dir
# Resolved at server startup so nodes know where to look
DEMO_DIR = demo_dir()
INPUT_DIR = input_dir()
OUTPUT_DIR = output_dir()
_DEMO_EXTENSIONS = {".png", ".jpg", ".jpeg", ".tiff", ".tif", ".npy", ".npz",
".gwy", ".sxm", ".ibw"}
# ---------------------------------------------------------------------------
# LoadImage
@@ -68,6 +72,81 @@ class LoadImage:
return (arr, field)
# ---------------------------------------------------------------------------
# LoadDemo
# ---------------------------------------------------------------------------
def _list_demo_files() -> list[str]:
"""Return sorted list of demo filenames available in the demo/ directory."""
if not DEMO_DIR.exists():
return []
return sorted(
f.name for f in DEMO_DIR.iterdir()
if f.is_file() and not f.name.startswith(".") and f.suffix.lower() in _DEMO_EXTENSIONS
)
@register_node(display_name="Load Demo Image")
class LoadDemo:
@classmethod
def INPUT_TYPES(cls):
choices = _list_demo_files() or ["(no demo images found)"]
return {
"required": {
"name": (choices,),
}
}
RETURN_TYPES = ("IMAGE", "DATA_FIELD")
RETURN_NAMES = ("image", "field")
FUNCTION = "load"
CATEGORY = "io"
DESCRIPTION = "Load a bundled demo image so you can try the app without providing your own data."
def load(self, name: str):
path = DEMO_DIR / name
if not path.exists():
raise FileNotFoundError(f"Demo image not found: {name}")
ext = path.suffix.lower()
# SPM formats → delegate to LoadSPM-style loading, return as IMAGE + DATA_FIELD
if ext == ".gwy":
field = LoadSPM()._load_gwy(path, "Z")
arr = field.data
return (arr, field)
elif ext == ".sxm":
field = LoadSPM()._load_sxm(path, "Z")
arr = field.data
return (arr, field)
elif ext == ".ibw":
field = LoadSPM()._load_ibw(path)
arr = field.data
return (arr, field)
# npy / npz
if ext == ".npy":
arr = np.load(str(path)).astype(np.float64)
elif ext == ".npz":
npz = np.load(str(path))
key = list(npz.files)[0]
arr = npz[key].astype(np.float64)
else:
from PIL import Image
img = Image.open(str(path))
arr = np.array(img)
if arr.dtype != np.uint8:
arr = arr.astype(np.float64)
if arr.ndim == 3:
gray = np.mean(arr.astype(np.float64), axis=2)
else:
gray = arr.astype(np.float64)
field = DataField(data=gray)
return (arr, field)
# ---------------------------------------------------------------------------
# LoadSPM
# ---------------------------------------------------------------------------