Floor Mask Regions

Documentation

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

The SaltMaskFloorRegion node is designed to identify and isolate floor regions within given masks. It processes each mask to extract the floor area, converting it into a tensor that represents the floor region.

Input types

Required

• masks
  • The input masks for which floor regions need to be identified. These masks are processed to extract floor areas, significantly impacting the node's output.
  • Comfy dtype: MASK
  • Python dtype: torch.Tensor

Output types

• MASKS
  • Comfy dtype: MASK
  • The output tensor representing the isolated floor regions within the input masks.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

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

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

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

    FUNCTION = "floor_region"

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