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xylcbd / dl_optimizer.py
Created March 1, 2017 09:58
visualise optimizer for neural network
#coding:utf-8
import numpy as np
import matplotlib.pyplot as plt
import math
def f(x):
return x[0] * x[0] + 50 * x[1] * x[1]
def g(x):
return np.array([2 * x[0], 100 * x[1]])
static const std::string base64_chars =
"ABCDEFGHIJKLMNOPQRSTUVWXYZ"
"abcdefghijklmnopqrstuvwxyz"
"0123456789+/";
static inline bool is_base64(unsigned char c) {
return (isalnum(c) || (c == '+') || (c == '/'));
}
#pragma once
#include <vector>
#include <string>
#include <algorithm>
#include <sstream>
#include "dirent.h"
std::string replace_all(const std::string& str, const std::string& from, const std::string& to) {
std::string result_str = str;
size_t start_pos = 0;
std::string local_to_utf8(const std::string& src)
{
#if _WIN32
int len = MultiByteToWideChar(CP_ACP, 0, src.c_str(), -1, NULL, 0);
wchar_t* wszUTF16 = new wchar_t[len+1];
memset(wszUTF16, 0, len+1);
MultiByteToWideChar(CP_ACP, 0, src.c_str(), -1, wszUTF16, len);
len = WideCharToMultiByte(CP_UTF8, 0, wszUTF16, -1, NULL, 0, NULL, NULL);
char* szUTF8 = new char[len + 1];
memset(szUTF8, 0, len + 1);
static std::ostream& operator<<(std::ostream& os, const std::vector<int>& data)
{
for (size_t i = 0; i < data.size();i++)
{
os << data[i];
if (i < (int)data.size() - 1)
{
os << ", ";
}
}
static int split(std::vector<int>& data, const int beg, const int end)
{
if (beg >= end || end <= 0)
{
return -1;
}
int idx = beg;
const int base = data[end - 1];
for (int i = beg; i < end; i++)
{
#include <chrono>
#include <string>
#include <iostream>
struct profiler
{
std::string name;
std::chrono::high_resolution_clock::time_point p;
profiler(std::string const &n) :
name(n), p(std::chrono::high_resolution_clock::now()) { }

批量替换目录中所有文件的字符串

sed -i "s/zhangsan/lisi/g" `grep zhangsan -rl /modules`

-i 表示inplace edit,就地修改文件
-r 表示搜索子目录
-l 表示输出匹配的文件名
#!/usr/local/bin/python
#coding: utf-8
import os
import sys
import fnmatch
import cv2
def files_in_dir(root, pattern):
all_files = []
#coding: utf-8
# from: https://github.com/argman/EAST/blob/ab97939783901b7e22ff55e151964e159d1627b9/icdar.py
import cv2
import numpy as np
import copy
def shrink_poly(poly, r):
'''
fit a poly inside the origin poly, maybe bugs here...
used for generate the score map