ImageFilterFindEdges

Documentation

• Class name: ImageFilterFindEdges
• Category: image/filter
• Output node: False

The ImageFilterFindEdges node applies an edge detection filter to a set of images, highlighting the edges within each image. This process enhances the visual distinction of boundaries and lines, making it easier to identify shapes and features.

Input types

Required

• images
  • The 'images' parameter represents the collection of images to which the edge detection filter will be applied. It is crucial for defining the input data that will undergo transformation.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Output types

• image
  • Comfy dtype: IMAGE
  • The output is a set of images that have undergone edge detection filtering, with enhanced visibility of edges and lines.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class ImageFilterFindEdges:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "images": ("IMAGE",),
            },
        }

    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "node"
    CATEGORY = "image/filter"

    def node(self, images):
        return applyImageFilter(images, ImageFilter.FIND_EDGES)