maweigert

import numpy as np
from colorsys import rgb_to_hls, hls_to_rgb

def _rgb2hls(im): 
  return np.stack(np.vectorize(rgb_to_hls)(*im.transpose(2,0,1)/256), axis=-1) 

def _hls2rgb(im): 
  return (255*np.stack(np.vectorize(hls_to_rgb)(*im.transpose(2,0,1)), axis=-1)).astype(np.uint8)

def invert(img): 

maweigert

import numpy as np
from csbdeep.utils import normalize

def norm_minmse(gt, x, normalize_gt=True):
    """
    normalizes and affinely scales an image pair such that the MSE is minimized  
     
    Parameters
    ----------
    gt: ndarray