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upgrade skimage #9

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upgrade skimage #9

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7 changes: 4 additions & 3 deletions metrics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,8 @@
"""
import numpy as np
from scipy.signal import convolve2d
from skimage.measure import compare_psnr, compare_ssim
from skimage.metrics import peak_signal_noise_ratio, structural_similarity


def compare_ergas(x_true, x_pred, ratio):
"""
Expand Down Expand Up @@ -103,7 +104,7 @@ def compare_mpsnr(x_true, x_pred, data_range):
"""
x_true, x_pred = x_true.astype(np.float32), x_pred.astype(np.float32)
channels = x_true.shape[2]
total_psnr = [compare_psnr(im_true=x_true[:, :, k], im_test=x_pred[:, :, k], data_range=data_range)
total_psnr = [peak_signal_noise_ratio(image_true=x_true[:, :, k], image_test=x_pred[:, :, k], data_range=data_range)
for k in range(channels)]

return np.mean(total_psnr)
Expand All @@ -118,7 +119,7 @@ def compare_mssim(x_true, x_pred, data_range, multidimension):
:param multidimension:
:return:
"""
mssim = [compare_ssim(X=x_true[:, :, i], Y=x_pred[:, :, i], data_range=data_range, multidimension=multidimension)
mssim = [structural_similarity(X=x_true[:, :, i], Y=x_pred[:, :, i], data_range=data_range, multidimension=multidimension)
for i in range(x_true.shape[2])]

return np.mean(mssim)
Expand Down