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alper111 / vgg_perceptual_loss.py

Last active July 25, 2025 16:52

PyTorch implementation of VGG perceptual loss

	import torch
	import torchvision

	class VGGPerceptualLoss(torch.nn.Module):
	def __init__(self, resize=True):
	super(VGGPerceptualLoss, self).__init__()
	blocks = []
	blocks.append(torchvision.models.vgg16(pretrained=True).features[:4].eval())
	blocks.append(torchvision.models.vgg16(pretrained=True).features[4:9].eval())
	blocks.append(torchvision.models.vgg16(pretrained=True).features[9:16].eval())

danstowell / wiener_deconvolution_example.py

Last active October 1, 2025 12:43

Simple example of Wiener deconvolution in Python

	#!/usr/bin/env python

	# Simple example of Wiener deconvolution in Python.
	# We use a fixed SNR across all frequencies in this example.
	#
	# Written 2015 by Dan Stowell. Public domain.

	import numpy as np
	from numpy.fft import fft, ifft, ifftshift