Ceiling Mask Regions

Documentation

• Class name: SaltMaskCeilingRegion
• Category: SALT/Masking/Filter
• Output node: False

This node is designed to identify and isolate the ceiling regions within a given set of masks. It processes each mask to highlight the ceiling areas, facilitating focused analysis or modifications on these specific regions.

Input types

Required

• masks
  • The input masks to be processed for ceiling region identification. This parameter is crucial for determining the areas within each mask that correspond to ceiling regions.
  • Comfy dtype: MASK
  • Python dtype: torch.Tensor

Output types

• MASKS
  • Comfy dtype: MASK
  • The output masks with the ceiling regions identified and isolated from the original input masks.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class SaltMaskCeilingRegion:
    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "masks": ("MASK",),
            }
        }

    CATEGORY = f"{NAME}/Masking/Filter"

    RETURN_TYPES = ("MASK",)
    RETURN_NAMES = ("MASKS",)

    FUNCTION = "ceiling_region"

    def ceiling_region(self, masks):
        regions = []
        for mask in masks:
            pil_image = mask2pil(mask.unsqueeze(0))
            region_mask = MaskFilters.ceiling_region(pil_image)
            region_tensor = pil2mask(region_mask)
            regions.append(region_tensor)
        regions_tensor = torch.cat(regions, dim=0)
        return (regions_tensor,)