Install tensorflow with virtualenv
$ virtualenv --system-site-packages -p python3 .
$ pip install tensorflow
Place next alias to ~/.profile
alias rstudio='open -a Rstudio'
@keyframes :local(fadeIn) { | |
0% { | |
background-color: rgba(0, 0, 0, 0); | |
} | |
100% { | |
background-color: rgba(0, 0, 0, 0.3); | |
} | |
} |
typedef void (*callback_helper_cb)(void* self, v8::Isolate* isolate, const v8::Persistent<v8::Function>& callback); | |
struct callback_helper_data { | |
v8::Persistent<v8::Function> callback; | |
void* self; | |
callback_helper_cb cb; | |
}; | |
#define CALLBACK_HELPER_CALL(A, B) v8::Local<v8::Function>::New(isolate, callback)->Call(isolate->GetCurrentContext()->Global(), A, B) |
Install tensorflow with virtualenv
$ virtualenv --system-site-packages -p python3 .
$ pip install tensorflow
Place next alias to ~/.profile
alias rstudio='open -a Rstudio'
#!/bin/bash | |
# http://jimhoskins.com/2013/07/27/remove-untagged-docker-images.html | |
docker rmi $(docker images | grep "^<none>" | awk "{print $3}") |
// http://stackoverflow.com/questions/7616461/generate-a-hash-from-string-in-javascript-jquery | |
export function hashCode(str) { | |
let hash = 0, i, chr; | |
if (str.length === 0) return hash; | |
for (i = 0; i < str.length; i++) { | |
chr = str.charCodeAt(i); | |
hash = ((hash << 5) - hash) + chr; | |
hash |= 0; // Convert to 32bit integer | |
} | |
return (hash + 2147483647) + 1; |
declare var wcs_add; | |
declare var wcs_do; | |
export function setup() { | |
const naverAnalyticsJsUrl = 'https://wcs.naver.net/wcslog.js'; | |
$.getScript(naverAnalyticsJsUrl, function() { | |
wcs_add = wcs_add || {}; | |
wcs_add['wa'] = '395c28a8f51174'; | |
wcs_do(); |
ReactDOM.render(( | |
<Provider store={store}> | |
<IntlProvider {...getIntlProviderParam()}> | |
<Router history={history as any}> | |
<Route component={Pattern} onChange={redirector()}> | |
<Route path={PATH_INPUT} component={Input}/> | |
<Route path={PATH_LIST} component={List}/> | |
<Route path={PATH_EDITOR} component={Editor}/> | |
<Route path='/tableinput' component={TableInput}/> | |
<Route path='/itemlist' component={ItemList}/> |
function CControl() { | |
}; | |
CControl.prototype = new CObject(); | |
CControl.prototype.init = function (elementId, focusableClassName, focusedClassName, focusChangedEventHandler) { | |
//DBG('CControl.init [' + this.getName() + ']'); | |
var a = this; | |
a._app = gApp; | |
a._shown = false; | |
a._isGlobal = false; |
<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<title>Face Emotion Detection</title> | |
<meta name="viewport" content="width=device-width,initial-scale=1.0,maximum-scale=1.0,minimum-scale=1.0,user-scalable=no"> | |
<link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/meyer-reset/2.0/reset.css"> | |
<link rel="stylesheet" href="//cdn.jsdelivr.net/xeicon/2/xeicon.min.css"> | |
<script src="//cdnjs.cloudflare.com/ajax/libs/less.js/2.7.2/less.min.js"></script> |