Issue
I am using google colab. I installed scikit-image. When I execute this code, I am getting error:
ModuleNotFoundError: No module named 'skimage.measure.simple_metrics'
import math
import torch
import torch.nn as nn
import numpy as np
import cv2
from skimage.measure.simple_metrics import compare_psnr
def weights_init_kaiming(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
nn.init.kaiming_normal(m.weight.data, a=0, mode='fan_in')\
elif classname.find('Linear') != -1:
nn.init.kaiming_normal(m.weight.data, a=0, mode='fan_in')
elif classname.find('BatchNorm') != -1:
# nn.init.uniform(m.weight.data, 1.0, 0.02)
m.weight.data.normal_(mean=0, std=math.sqrt(2./9./64.)).clamp_(-0.025,0.025)
nn.init.constant(m.bias.data, 0.0)
def batch_PSNR(img, imclean, data_range):
Img = img.data.cpu().numpy().astype(np.float32)
Iclean = imclean.data.cpu().numpy().astype(np.float32)
PSNR = 0
for i in range(Img.shape[0]):
PSNR += compare_psnr(Iclean[i,:,:,:], Img[i,:,:,:], data_range=data_range)
return (PSNR/Img.shape[0])
Solution
Since scikit-image version 0.16, that function was renamed from skimage.measure.compare_psnr to skimage.metrics.peak_signal_noise_ratio.
Please check your scikit-image version to confirm it.
Answered By - taipei
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