alper111

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())

abhikhatri

//Resize to Width Height
ffmpeg -i input.mp4 -s WxH -qscale 0  -vcodec mpeg4 output.mp4

//Compress the output file
ffmpeg -i output.mp4 -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2" -vcodec h264 -acodec mp2 output-final.mp4

DakuTree

#!/usr/bin/perl -w

use File::Copy qw(copy);
use DBI;
use Win32::API;

use strict;
use warnings;

print ("Decrypting cookies...\n") && &fix_cookies && print ("Cookies decrypted!\n");

endolith

# Greatest common divisor of 1 or more numbers.
from functools import reduce


def gcd(*numbers):
    """
    Return the greatest common divisor of 1 or more integers

    Examples
    --------