ruofeidu

#pragma once
#include <string>
#include <opencv/cv.hpp>
using namespace cv;
using namespace std; 
uchar** read_mnist_images(string full_path, int& number_of_images, int& image_size) {
	auto reverseInt = [](int i) {
		unsigned char c1, c2, c3, c4;
		c1 = i & 255, c2 = (i >> 8) & 255, c3 = (i >> 16) & 255, c4 = (i >> 24) & 255;
		return ((int)c1 << 24) + ((int)c2 << 16) + ((int)c3 << 8) + c4;

ruofeidu

Windows Registry Editor Version 5.00

[HKEY_CLASSES_ROOT\Applications\photoviewer.dll]

[HKEY_CLASSES_ROOT\Applications\photoviewer.dll\shell]

[HKEY_CLASSES_ROOT\Applications\photoviewer.dll\shell\open]
"MuiVerb"="@photoviewer.dll,-3043"

[HKEY_CLASSES_ROOT\Applications\photoviewer.dll\shell\open\command]

ruofeidu

#pragma once

#pragma comment(lib, "cudart.lib")
#if _DEBUG
#pragma comment(lib, "opencv_world330d.lib")
#else
#pragma comment(lib, "opencv_world330.lib")
#endif

#ifdef __CUDACC__

ruofeidu

import itertools, random, bisect


class WeightedRandomGenerator(object):
    def __init__(self, weights):
        self.totals = []
        running_total = 0

        for obj in weights:
            running_total += weights[obj]

ruofeidu

# -*- coding: utf-8 -*-
# This script renames all files under this script's folder
# Ruofei Du
# 12/13/2017
import glob, os

prefix = 'bing_'
dir_path = os.path.dirname(os.path.realpath(__file__))
sub_dir_list = glob.glob(dir_path + '*')
for dir_item in sub_dir_list:

ruofeidu

import glob, os

dir_path = os.path.dirname(os.path.realpath(__file__))
print(dir_path)
sub_dir_list = glob.glob(dir_path + '\\test2\\*')
for dir_item in sub_dir_list:
    print(dir_item)
    sub_list = glob.glob(dir_item + '\\*')
    for item in sub_list:
        l = glob.glob(item + "\\*")

ruofeidu

cgi.fix_pathinfo=0
file_uploads = On
post_max_size = 500M
upload_max_filesize = 500M
memory_limit = 256M

ruofeidu

# type: (list, float, float) -> list
# img: the input image
# cx, cy: image coordinates in floats
def bilinear_get_color(img, cx, cy):
    x, y = [int(floor(cx)), int(ceil(cx))], [int(floor(cy)), int(ceil(cy))]
    u, v = cx - x[0], cy - y[0]
    r = np.zeros((2, 2, 3), np.uint8)
    w, h = len(img[0]), len(img)
    for i in range(2):
        for j in range(2):

ruofeidu

/**
* @desc 判断ip是否为台湾IP
* @param string $ip 字符串格式的ip
* @return boolean   是台湾IP的话返回true，否则返回false
*/
public static function isTaiwanIp($ip) {
$longip = sprintf("%u", ip2long($ip));
switch ($longip % 100000000) {
  case 0:
	  if (($longip>=19005440 AND $longip<=19136511)

ruofeidu

from collections import defaultdict

def node():
  return defaultdict(node)
  
def word_exists(word, node):
    if not word:
        return None in node
    return word_exists(word[1:], node[word[0])