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ComfyUI-Dataset-Gates/gates/gate.py
T
2026-06-21 17:42:04 +02:00

25 lines
596 B
Python

# gates/gate.py
import io
import math
import numpy as np
import torch
from PIL import Image
from . import gate_bus
MAX_ROUTES = 10
def route_tuple(chosen, image, blocker, max_routes=MAX_ROUTES):
return tuple(image if i == chosen else blocker for i in range(max_routes))
def mask_from_stash(data, image):
b, h, w = image.shape[0], image.shape[1], image.shape[2]
if not data:
return torch.zeros((b, h, w), dtype=torch.float32)
m = Image.open(io.BytesIO(data)).convert("L")
arr = np.array(m, dtype=np.float32) / 255.0
return torch.from_numpy(arr).unsqueeze(0)