tishibas

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import numpy as np
import scipy.io
import scipy.misc

train_data = scipy.io.loadmat("train_32x32.mat")
train_x = train_data['X']
train_y = [flatten for inner in train_data['y'] for flatten in inner]

tishibas

#include <iostream>
#include <vector>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;



int main(){

tishibas

import leveldb

db = leveldb.LevelDB('./db')

db.Put('hello', 'value')
db.Put('world', 'value')

for k in db.RangeIter(include_value = False):
	print 'K', k

tishibas

#!/usr/bin/python                                                       
# -*- encoding: utf-8 -*-                                               
                                                                        
import matplotlib.pyplot as plt                                         
import numpy as np                                                      
from sklearn import linear_model                                        
from sklearn import svm                                                 
                                                                        
sigma = 0.1                                                             
x = np.arange(0,np.pi * 2,0.1)