Extract Images Features and Add Them to Search Context

Introduction

This article explain how to extract features from image sources (storage, url or/and features collection) and add them to features index. The API URL is:

POST /imaging/ai/imageSearch/{searchContextId}/features

Resource URI

Swagger UI lets you call Aspose.Imaging REST APIs directly from the browser. The description of the APIs and their parameters are also given there.

cURL Example

Request


// First get Access Token
// Get App Key and App SID from https://dashboard.aspose.cloud/

curl -v "https://api.aspose.cloud/oauth2/token" \
-X POST \
-d 'grant_type=client_credentials&client_id=xxxx&client_secret=xxxx' \
-H "Content-Type: application/x-www-form-urlencoded" \
-H "Accept: application/json"

// cURL example to extract image features and add them to search context

curl -v "https://api.aspose.cloud/v2/imaging/ai/imageSearch/c5354cad-18c1-4af4-9444-69b23d891c67/features" \
-X POST \
-T aspose.jpg \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-H "Authorization: Bearer <access_token>"

Response


{

  "Code": 200,

  "Status": "OK"

}

SDKs

Using an SDK (API client) is the quickest way for a developer to speed up the development. An SDK takes care of a lot of low-level details of making requests and handling responses and lets you focus on writing code specific to your particular project. Check out our GitHub repository for a complete list of Aspose.Imaging SDKs along with working examples, to get you started in no time.

SDK Examples

Add Tag and Reference Image to Search Context Get Image Features from Search Context