class_docstr: This loss uses the neural network Koncept512 to score images
  It takes one image or a list of images of shape [x, y, 3], with each pixel between 0 and 256, and returns a score.
code: def koncept(self) -> tp.Any:  # cache the model
      key = "koncept"
      if os.name == "nt":
          raise UnsupportedExperiment(
              "Koncept512 is not working properly under Windows"
          )
      if key not in MODELS:
          # pylint: disable=import-outside-toplevel
          try:
              from koncept.models import Koncept512 as K512Model
          except ImportError:
              raise UnsupportedExperiment(
                  "Koncept512 is not installed, please run 'pip install koncept'"
              )
          MODELS[key] = K512Model()
      return MODELS[key]
  
imports: import os
  import typing
  import torch
  import numpy
  import cv2
  from nevergrad.functions.base import UnsupportedExperiment
  from nevergrad.common.decorators import Registry
label_desc: Use image node_id 1 for calling the Koncept512 obj's underlying member method code with example usage: obj.koncept() and returns: MODELS