How does a sales person grow up his communityYoshito Tabuchi
A sales engineer created the Japan Xamarin User Group (JXUG) to connect developers. He worked to keep and grow the community by understanding members' needs, recruiting core members, and hosting meetups anywhere possible. The biggest meetup showed the value of JXUG in fostering connections between attendees and creating a positive cycle for the community.
The document shows code for using the Face and Computer Vision APIs to analyze an image. It detects faces in the image and extracts attributes like age, gender, and emotion. It also performs optical character recognition on the image to recognize text and extract the recognized lines of text. The attributes and text are then stored in lists for further processing.
This document contains the code for a Xamarin.Forms login page. It includes an image, label, entry field for a name, and a login button laid out in a stack layout. When the login button is clicked, it will trigger the LoginButton_Clicked method.
The document contains code snippets from different platforms showing login functionality:
- An Android code snippet shows a button click handler starting a new activity
- An iOS code snippet connects a button to login logic
- A Xamarin.Forms code snippet defines a login page with an image, label, entry and button laid out in a stack layout
12. // クライアント作成
var computerVisionClient = new ComputerVisionClient(
new ApiKeyServiceClientCredentials("<API_KEY>"))
{
Endpoint = "<Endpoint>"
};
// API 呼び出し、結果取得
var result = await computerVisionClient.AnalyzeImageAsync(
"<Url>", features, null, "ja");
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Computer Vision - Image Analysis
13. // クライアント作成
var faceClient = new FaceClient(
new ApiKeyServiceClientCredentials("<API_KEY>"))
{
Endpoint = "<Endpoint>"
};
// API 呼び出し、結果取得
var faces = await faceClient.Face.DetectWithUrlAsync(
"<Url>", true, false, faceAttributes);
Face
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