Files
tono/backend/nodes/resample.py

53 lines
1.8 KiB
Python

from __future__ import annotations
import numpy as np
from backend.node_registry import register_node
from backend.data_types import DataField
@register_node(display_name="Resample")
class Resample:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"field": ("DATA_FIELD",),
"width": ("INT", {"default": 256, "min": 2, "max": 16384, "step": 1}),
"height": ("INT", {"default": 256, "min": 2, "max": 16384, "step": 1}),
"interpolation": (["linear", "cubic", "nearest"], {"default": "linear"}),
}
}
OUTPUTS = (
('DATA_FIELD', 'resampled'),
)
FUNCTION = "process"
DESCRIPTION = (
"Resample a DATA_FIELD to a new pixel resolution while preserving physical dimensions. "
"Physical size (xreal, yreal) is unchanged; pixel size dx/dy scales accordingly. "
"Equivalent to gwy_data_field_new_resampled with GWY_INTERPOLATION_LINEAR / "
"GWY_INTERPOLATION_CUBIC / GWY_INTERPOLATION_ROUND (scale.c)."
)
_ORDERS = {"nearest": 0, "linear": 1, "cubic": 3}
def process(self, field: DataField, width: int, height: int, interpolation: str) -> tuple:
from scipy.ndimage import zoom
if interpolation not in self._ORDERS:
raise ValueError(
f"Unknown interpolation {interpolation!r}. "
f"Choose from: {list(self._ORDERS)}"
)
old_yres, old_xres = field.data.shape
zy = height / old_yres
zx = width / old_xres
result = zoom(field.data, (zy, zx), order=self._ORDERS[interpolation])
# Physical dimensions stay the same; xres/yres are re-derived from data.shape.
return (field.replace(data=result, xreal=field.xreal, yreal=field.yreal),)