cloudmersive-image-api-client

cloudmersive-image-api-client

CloudmersiveImageApiClient - JavaScript client for cloudmersive-image-api-client Image Recognition and Processing APIs let you use Machine Learning to recognize and process images, and also perform useful image modification operations. This SDK is automatically generated by the Swagger Codegen project:

• API version: v1
• Package version: 1.0.9
• Build package: io.swagger.codegen.languages.JavascriptClientCodegen

Installation

For Node.js

npm

To publish the library as a npm, please follow the procedure in "Publishing npm packages".

Then install it via:

npm install cloudmersive-image-api-client --save

Local development

To use the library locally without publishing to a remote npm registry, first install the dependencies by changing into the directory containing package.json (and this README). Let's call this JAVASCRIPT_CLIENT_DIR. Then run:

npm install

Next, link it globally in npm with the following, also from JAVASCRIPT_CLIENT_DIR:

npm link

Finally, switch to the directory you want to use your cloudmersive-image-api-client from, and run:

npm link /path/to/<JAVASCRIPT_CLIENT_DIR>

You should now be able to require('cloudmersive-image-api-client') in javascript files from the directory you ran the last command above from.

git

If the library is hosted at a git repository, e.g. https://github.com/GIT_USER_ID/GIT_REPO_ID then install it via:

    npm install GIT_USER_ID/GIT_REPO_ID --save

For browser

The library also works in the browser environment via npm and browserify. After following the above steps with Node.js and installing browserify with npm install -g browserify, perform the following (assuming main.js is your entry file, that's to say your javascript file where you actually use this library):

browserify main.js > bundle.js

Then include bundle.js in the HTML pages.

Webpack Configuration

Using Webpack you may encounter the following error: "Module not found: Error: Cannot resolve module", most certainly you should disable AMD loader. Add/merge the following section to your webpack config:

module: {
  rules: [
    {
      parser: {
        amd: false
      }
    }
  ]
}

Getting Started

Please follow the installation instruction and execute the following JS code:

var CloudmersiveImageApiClient = require('cloudmersive-image-api-client');

var defaultClient = CloudmersiveImageApiClient.ApiClient.instance;

// Configure API key authorization: Apikey
var Apikey = defaultClient.authentications['Apikey'];
Apikey.apiKey = "YOUR API KEY"
// Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null)
//Apikey.apiKeyPrefix['Apikey'] = "Token"

var api = new CloudmersiveImageApiClient.ArtisticApi()

var style = "style_example"; // {String} The style of the painting to apply.  To start, try \"udnie\" a modernist\" painting style.  Possible values are: \"udnie\", \"wave\", \"la_muse\", \"rain_princess\".

var imageFile = "/path/to/file.txt"; // {File} Image file to perform the operation on.  Common file formats such as PNG, JPEG are supported.


var callback = function(error, data, response) {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
};
api.artisticPainting(style, imageFile, callback);

Documentation for API Endpoints

All URIs are relative to https://api.cloudmersive.com

Class	Method	HTTP request	Description
CloudmersiveImageApiClient.ArtisticApi	artisticPainting	POST /image/artistic/painting/{style}	Transform an image into an artistic painting automatically
CloudmersiveImageApiClient.EditApi	editCompositeBasic	POST /image/edit/composite/{location}	Composite two images together
CloudmersiveImageApiClient.EditApi	editDrawRectangle	POST /image/edit/draw/rectangle	Draw rectangle onto an image
CloudmersiveImageApiClient.EditApi	editDrawText	POST /image/edit/draw/text	Draw text onto an image
CloudmersiveImageApiClient.FaceApi	faceCropFirst	POST /image/face/crop/first	Crop image to face (square)
CloudmersiveImageApiClient.FaceApi	faceCropFirstRound	POST /image/face/crop/first/round	Crop image to face (round)
CloudmersiveImageApiClient.FaceApi	faceLocate	POST /image/face/locate	Find faces in an image
CloudmersiveImageApiClient.NsfwApi	nsfwClassify	POST /image/nsfw/classify	Not safe for work (NSFW) racy content classification
CloudmersiveImageApiClient.RecognizeApi	recognizeDescribe	POST /image/recognize/describe	Describe an image in natural language
CloudmersiveImageApiClient.RecognizeApi	recognizeDetectObjects	POST /image/recognize/detect-objects	Detect objects, including types and locations, in an image
CloudmersiveImageApiClient.RecognizeApi	recognizeDetectPeople	POST /image/recognize/detect-people	Detect people, including locations, in an image
CloudmersiveImageApiClient.ResizeApi	resizePost	POST /image/resize/preserveAspectRatio/{maxWidth}/{maxHeight}	Resize an image with parameters

Documentation for Models

• CloudmersiveImageApiClient.DetectedObject
• CloudmersiveImageApiClient.DrawRectangleInstance
• CloudmersiveImageApiClient.DrawRectangleRequest
• CloudmersiveImageApiClient.DrawTextInstance
• CloudmersiveImageApiClient.DrawTextRequest
• CloudmersiveImageApiClient.Face
• CloudmersiveImageApiClient.FaceLocateResponse
• CloudmersiveImageApiClient.ImageDescriptionResponse
• CloudmersiveImageApiClient.NsfwResult
• CloudmersiveImageApiClient.ObjectDetectionResult
• CloudmersiveImageApiClient.RecognitionOutcome

Documentation for Authorization

Apikey

• Type: API key
• API key parameter name: Apikey
• Location: HTTP header