RemapInsideParabolas

Documentation

• Class name: RemapInsideParabolas
• Category: Bmad/CV/Transform
• Output node: False

This node is designed for remapping images based on the geometry of two parabolas within a given mask. It adjusts the image's pixels to align or distort according to these parabolas, enabling advanced image transformation techniques that can simulate or correct specific optical effects.

Input types

Required

• dst_mask_with_i_parabolas
  • A mask image containing two parabolas. This mask is used to determine the transformation geometry for remapping the image.
  • Comfy dtype: MASK
  • Python dtype: numpy.ndarray

Output types

• remap
  • Comfy dtype: REMAP
  • The output is a transformed version of the input image, where the pixel positions have been adjusted based on the specified parabolas within the mask.
  • Python dtype: Dict[str, Any]
• ui
  • The output is a transformed version of the input image, where the pixel positions have been adjusted based on the specified parabolas within the mask.

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class RemapInsideParabolas(RemapBase):
    @classmethod
    def INPUT_TYPES(cls):
        return {"required": {
            "dst_mask_with_2_parabolas": ("MASK",),
        }
        }

    def send_remap(self, dst_mask_with_2_parabolas):
        from .utils.remaps import remap_inside_parabolas_simple
        return ({
                    "func": remap_inside_parabolas_simple,
                    "xargs": [tensor2opencv(dst_mask_with_2_parabolas, 1)],
                    "dims": RemapBase.get_dims(dst_mask_with_2_parabolas)
                },)