simon-donike

class MeanGradientError:
    """
    A class used to calculate the Mean Gradient Error (MGE) between two images.

    Methods
    -------
    sobel_x_y_gradients(img):
        Calculates the gradients in x and y directions using Sobel filters for the input image tensor.

    calculate_pixel_gradients(grad_x, grad_y):

simon-donike

# for np arrays
import numpy as np
def minmax(img):
    return(img-np.min(img) ) / (np.max(img)-np.min(img))

import numpy as np
def minmax_percentile(img,perc=2):
    lower = np.percentile(img,perc)
    upper = np.percentile(img,100-perc)
    img[img>upper] = upper