Wizart Vision SDK for JavaScript

Vision API's client SDK for Node.js

The Wizart Vision SDK is a set of software development tools and libraries provided by Wizart.ai that enables developers to integrate the Wizart Vision API's capabilities into their applications more easily. The SDK acts as a bridge between the Vision API and the developer's application by providing a standardized set of functions and interfaces that the developer can use to access the API's functionality.

Looking for more documentation?

* Wizart Vision API Review
* Wizart Vision SDK for Python

⭐️ Start using Wizart Vision API with the RapirAPI platform.

Features

Wizart Vision technology base consists of several core components that power our computer vision solutions. These include segmentation, detection, reconstruction, and analysis, each of which plays a critical role in enabling advanced visual capabilities. Below are links to learn more about each component and how they contribute to our powerful Vision API.

- Technologies for Home Interior
- Indoor Semantic Segmentation
- Indoor Object Detection
- 3D Interior Layout Reconstruction
- Indoor Scene Analysis & Classification

https://user-images.githubusercontent.com/408283/221159389-16f146f9-fda7-4dfb-84e4-16d2d1500e59.mp4

Installation

``shell
npm install wizart-vision
`

Authentication

Once you received X-RapidAPI-Key, you need initialize vision client
`js
const wv = require('./dist/main.bundle.js')

const client = new wv.WizartVision("your X-RapidAPI-Key")
`


Usage

The client allows you to perform requests similar to those described in the documentation.
* segmentation
* detection
* reconstruction
* analysis
* interior

You will operate just with few parameters.

- resource - file system path or http link to the image
- feature - some entity available in Wizart Vision SDK

`js
const wv = require('./dist/main.min.js')

// use this FeatureTypes object for segmentation, detection, reconstruction and interior calls
wv.FeatureTypes

// currently supported feature types
wv.FeatureTypes.WALL
wv.FeatureTypes.CEILING
wv.FeatureTypes.FLOOR
wv.FeatureTypes.WINDOW

// use this object for different analysis calls
wv.AnalysisTypes

// currently supported analysis types
wv.AnalysisTypes.CAMERA
wv.AnalysisTypes.IMAGE_INFO
wv.AnalysisTypes.INTERIOR_TYPE
`

$3

Indoor scene semantic decomposition process.

Obtaining indoor segmentation mask
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);

client.segmentation(data).then(response => {})
`
Segmentation by feature (i.e. by feature/surface object)
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);

client.segmentation(data, wv.FeatureTypes.WALL).then(response => {})
`
To obtain only the mask contours, add vectorized param by setting it to true.
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);
data.append('vectorized', true)

client.segmentation(data, wv.FeatureTypes.WALL).then(response => {})
`

$3

Localize objects coordinates in the photo.

Detect all supported entities
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);

client.detection(data).then(response => {})
`
Single entity detection, e.g. detect only the ceiling
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);

client.detection(data, wv.FeatureTypes.CEILING).then(response => {})
`


$3

Obtain information about the 3D dimensions (real sizes) and positions of scene objects in the photo.

Reconstruct all supported entities and scene params
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);

client.reconstruction(data).then(response => {})
`
Reconstruct a specific entity and scene params
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);

client.reconstruction(data, wv.FeatureTypes.FLOOR).then(response => {})
`


$3

The Analysis API includes a set of different computer vision solutions based on neural networks.

Analyse image, interior and camera
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);

client.analysis(data).then(response => {})
`
Perform a specific type of analysis
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);

client.analysis(data, wv.AnalysisTypes.CAMERA).then(response => {})
`


$3

Provides the ability to get all the data on the requested feature that we were able to extract from the uploaded interior photo.

Describe all entities
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);

client.interior(data).then(response => {})
`

Get data for a specific entity
`js
const data = new FormData();
data.append("room_image", inputFile.files[0]);

client.interior(data, wv.FeatureTypes.WALL).then(response => {})
``