facekunal

#!/usr/bin/env python
# encoding: utf-8

import sys
from argparse import ArgumentParser
from xml.dom import minidom
try:
	from urllib.request import urlopen
	from urllib.parse import urlencode
except ImportError:

facekunal

# "Colorizing B/W Movies with Neural Nets", 
# Network/Code Created by Ryan Dahl, hacked by samim.io to work with movies 
# BACKGROUND: http://tinyclouds.org/colorize/
# DEMO: https://www.youtube.com/watch?v=_MJU8VK2PI4
# USAGE:
# 1. Download TensorFlow model from: http://tinyclouds.org/colorize/
# 2. Use FFMPEG or such to extract frames from video.
# 3. Make sure your images are 224x224 pixels dimension. You can use imagemagicks "mogrify", here some useful commands:
# mogrify -resize 224x224 *.jpg
# mogrify -gravity center -background black -extent 224x224 *.jpg

facekunal

boolean isEqualSum(int[] a, int[] b) {
        int sumA = Arrays.stream(a).sum();
        int sumB = Arrays.stream(b).sum();

        for(int i=0;i<a.length;i++){
            for(int j=0;j<b.length;j++) {
                if (sumA - a[i] + b[j] == sumB - b[j] + a[i]) {
                    return true;
                }
            }

facekunal

boolean isEqualSum(int[] a, int[] b) {
	Arrays.sort(a);
	Arrays.sort(b);
	
	int sumA = Arrays.stream(a).sum();
	int sumB = Arrays.stream(b).sum();

	int diff = sumB - sumA;

	if(diff % 2 == 1) {