david90

#!/bin/bash -e
# Make sure you have installed ImageMagick
# http://cactuslab.com/imagemagick/

# Ensure we're running in location of script.
cd "`dirname $0`"

for f in *; do
  if [[ $f == *@3x* ]];
    then

david90

On Ionic side

1. Create a ionic project

• ionic start ionicStripe blank

2. Install the stripe plugin

• ionic cordova plugin add cordova-plugin-stripe
• npm install --save @ionic-native/stripe

3. add stripe to module.ts

 * import { Stripe } from '@ionic-native/stripe';

4. On the payment page :

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class UserPage extends React.Component {

  static navigationOptions: {
    header: ({state}) => ({
      left: (<NavBarBackButton />),
      title: (
        <UserPageTitle 
          userName={state.params.userName}
          profilePicUrl={state.params.profilePicUrl}
        />

david90

const sampleRoute = {
  renderNavBarLeft: () => (<NavBarBackButton />),
  renderNavBarTitle: () => (<SimplePageTitle />),
  renderNavBarRight: () => null,
  renderScene: () => (<SamplePage />),
};

// navigator
<Navigator
  { ...otherPropsPassingToNavigator }

david90

package main
import (
    "context"
    "encoding/json"
    "log"
    "net/http"
    "github.com/google/go-github/github"
    "golang.org/x/oauth2"
    authentication "k8s.io/client-go/pkg/apis/authentication/v1beta1"
)

david90

Best parameters set:
{'kernel': 'linear', 'C': 1}

Confusion matrix:
Labels: 8531,8539,8567,8568,8599,8715,8760,8773,8777,8778,8808,8816

[[ 4  0  0  0  0  0  0  0  0  0  0  0]
 [ 0  2  0  0  0  0  0  0  0  0  0  0]
 [ 0  0 12  0  0  0  0  0  0  0  0  0]
 [ 0  0  0  9  0  0  0  0  0  0  0  0]

david90

import os

import sklearn
from sklearn import cross_validation, grid_search
from sklearn.metrics import confusion_matrix, classification_report
from sklearn.svm import SVC
from sklearn.externals import joblib

def train_svm_classifer(features, labels, model_output_path):
    """

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import os
import tensorflow as tf
import tensorflow.python.platform
from tensorflow.python.platform import gfile
import numpy as np

def create_graph(model_path):
    """
    create_graph loads the inception model to memory, should be called before
    calling extract_features.

david90

CMS Plugin for Skygear

This is a Skygear Plugin to provide CMS functionality to your app.

Installation

It is easy to use CMS in your Skygear app on the cloud. To do that, add the following line in your index.js in the root of your repo:

david90

/* Server monitor */
// require('newrelic'); 
var mysql = require('mysql');
var express = require('express');
var app = express();

var eventsCollection;
var sessionsCollection;

/** MySQL Settings **/