code: def testOpenCVColorDistort():
      transform = ImgOpenCVColorDistortion(
          ColorDistortionSettings.defaults()
      )
      benchmark(transform, "Color distort - OpenCV", requires_pil=True)
  
imports: import time
  from typing import Callable, List
  import torch
  import torchvision.transforms
  from PIL import Image
  from vissl.data.ssl_transforms.img_cv_color_distortion import ColorDistortionSettings, ImgOpenCVColorDistortion
  from vissl.data.ssl_transforms.img_pil_color_distortion import ImgPilColorDistortion
  from vissl.data.ssl_transforms.img_pil_gaussian_blur import ImgPilGaussianBlur
  from vissl.data.ssl_transforms.img_pil_random_photometric import ImgPilRandomPhotometric
  from vissl.data.ssl_transforms.img_pil_to_lab_tensor import ImgPil2LabTensor
  from vissl.data.ssl_transforms.img_pil_to_multicrop import ImgPilToMultiCrop
  from vissl.data.ssl_transforms.img_pil_to_patches_and_image import ImgPilToPatchesAndImage
  from vissl.data.ssl_transforms.img_pil_to_tensor import ImgToTensor
  from vissl.data.ssl_transforms.img_rotate_pil import ImgRotatePil
label_desc: Use image node_id 7 for calling a global function with example usage: testOpenCVColorDistort() without return types