smrati

Multiple SSH Keys settings for different github account

create different public key

create different ssh key according the article Mac Set-Up Git

$ ssh-keygen -t rsa -C "your_email@youremail.com"

smrati

# -*- coding: utf-8 -*-
import numpy as np
import os
import cv2
import pandas as pd

from sklearn.cross_validation import train_test_split
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D

smrati

import numpy as np
from keras import backend as K
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.preprocessing.image import ImageDataGenerator
from sklearn.metrics import classification_report, confusion_matrix

#Start
train_data_path = 'F://data//Train'

smrati

# -*- coding: utf-8 -*-

from flask import Flask, request, render_template, current_app
from flask_wtf import Form
from wtforms.validators import DataRequired
from wtforms import SelectField, SelectMultipleField, SubmitField


app = Flask(__name__)

smrati

#!/bin/bash

### USAGE
###
### ./ElasticSearch.sh 1.7 will install Elasticsearch 1.7
### ./ElasticSearch.sh will fail because no version was specified (exit code 1)
###
### CLI options Contributed by @janpieper
### Check http://www.elasticsearch.org/download/ for latest version of ElasticSearch

smrati

""" This is an implementation of the paper found here: http://www.cs.cmu.edu/~htong/pdf/ICME04_tong.pdf """

import Image
import numpy
import pywt
import sys

thresh = 35
MinZero = 0.05

smrati

import os
import sys
from getpass import getpass

import gdata.docs.service
import gdata.spreadsheet.service


'''
    get user information from the command line argument and 

smrati

import os
import sys
from getpass import getpass

import gdata.docs.service
import gdata.spreadsheet.service


'''
    get user information from the command line argument and 

smrati

""" This is an implementation of the paper found here: http://www.cs.cmu.edu/~htong/pdf/ICME04_tong.pdf """

import Image
import numpy
import pywt
import sys

thresh = 35
MinZero = 0.05

smrati

from PIL import Image
from PIL.ExifTags import TAGS, GPSTAGS

def get_exif_data(image):
    """Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
    exif_data = {}
    info = image._getexif()
    if info:
        for tag, value in info.items():
            decoded = TAGS.get(tag, tag)