IsMaskEmpty

Documentation

• Class name: IsMaskEmpty
• Category: segment_anything
• Output node: False

The IsMaskEmptyNode node is designed to determine if a given mask is entirely empty, meaning it contains no marked areas. It provides a simple yet essential functionality for mask analysis within the context of segmentation tasks, enabling the identification of masks that lack any significant content.

Input types

Required

• mask
  • The 'mask' parameter represents the input mask to be analyzed. It is crucial for determining whether the mask is empty or contains any marked areas, directly influencing the node's output.
  • Comfy dtype: MASK
  • Python dtype: torch.Tensor

Output types

• boolean_number
  • Comfy dtype: NUMBER
  • The output is a boolean value represented as a number (0 for false, meaning the mask is not empty, and 1 for true, indicating the mask is empty), indicating whether the input mask is entirely devoid of marked areas.
  • Python dtype: int

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class IsMaskEmptyNode:
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "mask": ("MASK",),
            },
        }
    RETURN_TYPES = ["NUMBER"]
    RETURN_NAMES = ["boolean_number"]

    FUNCTION = "main"
    CATEGORY = "segment_anything"

    def main(self, mask):
        return (torch.all(mask == 0).int().item(), )