php 來抓取網頁的文字內容

$city=$_GET['city'];

$city=str_replace(" ", "", $city);


//  "http://www.weather-forecast.com/locations/".$city."/forecasts/latest"  ->   網址
$content=file_get_contents("http://www.weather-forecast.com/locations/".$city."/forecasts/latest");


//   \"  ->  "        \/  -> /      ,  s ->  space  ,  正規表示法
preg_match("/<\/b><span class=\"read-more-small\"><span class=\"read-more-content\"> <span class=\"phrase\">(.*?)<\/span>/s", $content, $matches);

echo $matches[0];

microsoft bot framework

Ref :  https://www.youtube.com/watch?v=MXCESNOm99g


ref :  https://github.com/ericsk/luis-vacation-bot

商攝佈景道具

店家   安安拍照道具拍图拍摄 

https://ananshenghuoguan.world.taobao.com/?spm=a312a.7700824.0.0.EKq3Uw



1.   倒影

 https://world.taobao.com/item/522965437984.htm?fromSite=main&spm=a312a.7700824.w4002-15053131036.52.ta3L2d



https://world.taobao.com/item/533859785965.htm?fromSite=main&spm=a312a.7700824.w4002-15053131036.19.ec9hXC

2.  原木地板

https://world.taobao.com/item/521473561938.htm?fromSite=main&spm=a312a.7700824.w4002-15053131036.52.iufQ0l


https://world.taobao.com/item/523758856151.htm?fromSite=main&spm=a312a.7700824.w4002-15053131036.62.D6xYt7


3.    松果

https://world.taobao.com/item/35638911377.htm?fromSite=main&spm=a312a.7700824.w4002-15053131036.24.OEBVTs


必買
https://world.taobao.com/item/520874920724.htm?fromSite=main&spm=a312a.7700824.w4002-15053131036.16.OEBVTs

4.  

複古風書法文字中國風名族風背景布網店產品茶具拍照拍攝背景麻布

https://world.taobao.com/item/527304499441.htm?fromSite=main&spm=a312a.7700824.w4002-15053131036.25.cqrN62

360 度網站

Ref :  https://www.holobuilder.com/explore?page=details&id=6617458781716480

Ref :  http://www.rwth-aachen.de/cms/root/Die-RWTH/Kontakt-Lageplaene/Raumverwaltung/~bdsd/Wildenhof/


Ref : http://www.panophoto.eu/Search/


When you hit the share button you get an iframe snippet that you just have to copy and add to your website.

mixpanel 範例

// Mixpanel 範例例
$(document).ready(function(){
// 進入⾴頁⾯面送出資料
var pageTitle = $('title').text();
mixpanel.track('PageView',{
'pageTitle': pageTitle
});
});



// 點擊連結送出資料
$('a').click(function(event){
var link = $(this).attr('href');
var title = $(this).attr('title');
mixpanel.track('ClickLink',{
'link': link || '',
'title': title || '',
'pageTitle': pageTitle
});
});

360 度照片

Ref :  http://www.ajax-zoom.com/examples/example15.php

jquert with 360 degree

Ref :  https://www.sitepoint.com/jquery-360-degrees-image-display-plugins/


Ref : http://www.mathieusavard.info/threesixty/demo.html

個完整的 React Native App 範例( 支援 iOS/Android )

Ref :  https://github.com/liumingmusic/react-native_toiletApp

王志誠老師的blog

Ref :  https://wcc723.github.io/

animated css

先到     http://imakewebthings.com/waypoints/  下載 js

然後把他放在   /js/  folder

然後再到    https://daneden.github.io/animate.css/  下載  css

然後把他放在   /css/  folder


在code 裡面加入使用 ...


css:

<link rel="stylesheet" type="text/css" href="vendors/css/animate.css">

js:

 <script src="vendors/js/jquery.waypoints.min.js"></script>


在  html5 裡面加入相對應的class name


例如:    <span class="js--wp-5">

 <div class="col-md-8 col-sm-8 col-xs-6 tetimonmeta">
                    林惠文
                    <span class="js--wp-5">小文</span>
                </div>


然後在js裡面加入


$(document).ready(function(){


 $('.js--wp-5').waypoint(function(direction){
        $('.js--wp-5').addClass('animated zoomInDown');
    }, {
        offset:'50%'
    });


});


要甚麼效果可以自己去選

例如 :  要  bounceIn 就打 bounceIn ..  大小寫要一模一樣

ionicons 很多icon可以下載

Ref :  http://ionicons.com/

face detection in web

Ref :  https://code.tutsplus.com/tutorials/how-to-create-a-face-detection-app-with-react-native--cms-26491

1. What Is the Face Detection API?

Before we start writing our app, I would like to take a moment to talk about the API we will be using for face detection. Microsoft's face detection API provides face detection and face recognition functionality via a cloud-based API. This allows us to send an HTTP request containing either an image or a URL of an existing image on the web, and receive data about any faces detected in the image.

Sending Requests to the API

You can make requests to Microsoft's face detection API by sending a POST request to https://api.projectoxford.ai/face/v1.0/detect. The request should contain the following header information:

• Content-Type: This header field contains the data type of the request body. If you are sending the URL of an image on the web, then the value of this header field should be application/json. If you are sending an image, set the header field to application/octet-stream.
• Ocp-Apim-Subscription-Key: This header field contains the API key used for authenticating your requests. I will show you how to obtain an API key later in this tutorial.

By default, the API only returns data about the boxes that are used to enclose the detected faces in the image. In the rest of this tutorial, I will refer to these boxes as face boxes. This option can be disabled by setting the returnFaceRectangle query parameter to false. The default value is true, which means that you don't have to specify it unless you want to disable this option.

You can supply a few other optional query parameters to fetch additional information about the detected faces:

• returnFaceId: If set to true, this option assigns a unique identifier to each of the detected faces.
• returnFaceLandmarks: By enabling this option, the API returns an array of face landmarks of the detected faces, including eyes, nose, and lips. This option is disabled by default.
• returnFaceAttributes: If this option is enabled, the API looks for and returns unique attributes for each of the detected faces. You need to supply a comma-separated list of the attributes that you are interested in, such as age, gender, smile, facial hair, head pose, and glasses.

Below is a sample response that you get from the API given the following request URL:

1	https://api.projectoxford.ai/face/v1.0/detect?faceId=true&faceLandmarks=true&faceAttributes=age,gender,smile,facialHair,headPose,glasses

001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137

[     {         "faceId": "c5c24a82-6845-4031-9d5d-978df9175426",         "faceRectangle": {             "width": 78,             "height": 78,             "left": 394,             "top": 54         },         "faceLandmarks": {             "pupilLeft": {                 "x": 412.7,                 "y": 78.4             },             "pupilRight": {                 "x": 446.8,                 "y": 74.2             },             "noseTip": {                 "x": 437.7,                 "y": 92.4             },             "mouthLeft": {                 "x": 417.8,                 "y": 114.4             },             "mouthRight": {                 "x": 451.3,                 "y": 109.3             },             "eyebrowLeftOuter": {                 "x": 397.9,                 "y": 78.5             },             "eyebrowLeftInner": {                 "x": 425.4,                 "y": 70.5             },             "eyeLeftOuter": {                 "x": 406.7,                 "y": 80.6             },             "eyeLeftTop": {                 "x": 412.2,                 "y": 76.2             },             "eyeLeftBottom": {                 "x": 413.0,                 "y": 80.1             },             "eyeLeftInner": {                 "x": 418.9,                 "y": 78.0             },             "eyebrowRightInner": {                 "x": 4.8,                 "y": 69.7             },             "eyebrowRightOuter": {                 "x": 5.5,                 "y": 68.5             },             "eyeRightInner": {                 "x": 441.5,                 "y": 75.0             },             "eyeRightTop": {                 "x": 446.4,                 "y": 71.7             },             "eyeRightBottom": {                 "x": 447.0,                 "y": 75.3             },             "eyeRightOuter": {                 "x": 451.7,                 "y": 73.4             },             "noseRootLeft": {                 "x": 428.0,                 "y": 77.1             },             "noseRootRight": {                 "x": 435.8,                 "y": 75.6             },             "noseLeftAlarTop": {                 "x": 428.3,                 "y": 89.7             },             "noseRightAlarTop": {                 "x": 442.2,                 "y": 87.0             },             "noseLeftAlarOutTip": {                 "x": 424.3,                 "y": 96.4             },             "noseRightAlarOutTip": {                 "x": 446.6,                 "y": 92.5             },             "upperLipTop": {                 "x": 437.6,                 "y": 105.9             },             "upperLipBottom": {                 "x": 437.6,                 "y": 108.2             },             "underLipTop": {                 "x": 436.8,                 "y": 111.4             },             "underLipBottom": {                 "x": 437.3,                 "y": 114.5             }         },         "faceAttributes": {             "age": 71.0,             "gender": "male",             "smile": 0.88,             "facialHair": {                 "mustache": 0.8,                 "beard": 0.1,                 "sideburns": 0.02             }         },         "glasses": "sunglasses",         "headPose": {             "roll": 2.1,             "yaw": 3,             "pitch": 0         }     } ]

This sample response is pretty self-explanatory so I am not going to dive deeper into what each attribute stands for. The data can be used to show the detected faces, their different attributes, and how you can show them to the user. This is achieved by interpreting the x and y coordinates or the top and left positioning.

Acquiring an API Key

To use Microsoft's face detection API, each request needs to be authenticated with an API key. Here are the steps you need to take to acquire such a key.

Create a Microsoft Live account if you don't already have one. Sign in with your Microsoft Live account and sign up for a Microsoft Azure Account. If you don't have a Microsoft Azure account yet, then you can sign up for a free trial, giving you access to Microsoft's services for 30 days.

For the face detection API, this allows you to send up to twenty API calls per minute for free. If you already have an Azure account, then you can subscribe to the Pay-As-You-Go plan so you only pay for what you use.

Once your Microsoft Azure account is set up, you are redirected to the Microsoft Azure Portal. In the portal, navigate to the search bar and enter cognitive services in the search field. Click the result that says Cognitive Services accounts (preview). You should see an interface similar to the following: