How to Upload Binary Image to Microsoft Vision Api
microsoft-computer-vision
What is this package?
This is a wrapper package for Microsoft Reckoner Vision APIs, information technology serves as regular Node SDK due to no official one was published by Microsoft.
Table of Contents
-
Installation
-
Characteristic
-
Back up Region
-
API
- Analyze-Prototype
- Tag-Epitome
- Describe-Image
- Paradigm-Thumbnail
- ORC-Image
- Listing Domain Specific Models
- Recognize Domain Specific Content
-
License
-
Contributing
Installation
npm install microsoft-reckoner-vision --relieve Feature
- Promise based
- Piece of cake function calls
- Option of using different location of API to minimize responding time
- Use new cease point of {location}.api.cerebral.microsoft.com/vision instead of api.projectoxford.ai/vision
- Support all available regions from Microsoft.
Support-Regions
Pass one of the following region into request-origin from method option.
- westus
- westus2
- eastus
- eastus2
- southcentralus
- westcentralus
- westeurope
- southeastasia
- canadacentral
- uksouth
- japaneast
- australiaeast
- brazilsouth
- centralindia
- eastasia
- northeurope
- westeurope
API
Clarify-Image
Clarification
This operation extracts a rich set of visual features based on the image content.
Two input methods are supported -- (i) Uploading an image binray or (ii) specifying an image URL. Within your asking, there is an optional parameter to allow y'all to choose which features to return. By default, paradigm categories are returned in the response.
Options
{ "Ocp-Apim-Subscription-Primal": "<your-subscription-key>" , "asking-origin":"<Choose-1-from-Supported-Regions>" , // Required ane simply "visual-features":"Categories,Tags,Clarification,Faces,ImageType,Color,Adult" , // Tin can exist at least one or more, separated by comma "details" : "Celebrities, Landmarks" , // Optional, separated by comma "language" : "en" //or "cn", if not specified, "en" by default "content-blazon": "application/json" , "url": "image_url" //or "content-type": "awarding/octet-stream" , "body": "image_binary" } Function phone call
analyzeImage ( { "Ocp-Apim-Subscription-Central": "<your-subscription-key>" , "request-origin":"<Choose-ane-from-Supported-Regions>" , "visual-features":"Tags, Faces, (...)" , "content-type": "content type" , "url": "image_url" //or "body": "image_binary" } ) . so ( ( issue ) => { // the tags are now in the upshot } ) . catch ( ( err ) => { throw err } )
Instance of passing prototype by URL
microsofComputerVision . analyzeImage ( { "Ocp-Apim-Subscription-Primal": "<your-subscription-central>" , "request-origin":"<Cull-one-from-Supported-Regions>" , "content-type": "application/json" , "url": "https://goo.gl/Hpz7gi" , "visual-features":"Tags, Faces" } ) . then ( ( outcome ) => { panel . log ( result ) // { tags: // [ { proper name: 'tree', conviction: 0.9994124174118042 }, // { name: 'outdoor', conviction: 0.9984000325202942 }, // { name: 'sky', confidence: 0.9974111914634705 }, // { name: 'grass', confidence: 0.9564579725265503 }, // { name: 'building', confidence: 0.9447041153907776 }, // { name: 'castle', confidence: 0.6080892086029053 } ], // requestId: 'c9c33a0d-7100-4cea-b37a-b93d2b3aff10', // metadata: { width: 883, height: 589, format: 'Jpeg' }, // faces: [] } } ) . grab ( ( err ) => { throw err } )
Instance of passing image by binary
// Suppose you desire get tag and face for /tests/paradigm/exam.jpg const microsofComputerVision = require ( "microsoft-computer-vision" ) fs . readFile ( './tests/paradigm/exam.jpg' , function ( err , data ) { if ( err ) throw err microsofComputerVision . analyzeImage ( { "Ocp-Apim-Subscription-Primal": "<your-subscription-primal>" , "request-origin":"<Choose-one-from-Supported-Regions>" , "content-type": "awarding/octet-stream" , "body": data , "visual-features":"Tags, Faces" } ) . and so ( ( upshot ) => { console . log ( consequence ) // { tags: // [ { name: 'tree', confidence: 0.9994124174118042 }, // { proper noun: 'outdoor', confidence: 0.9984000325202942 }, // { name: 'heaven', conviction: 0.9974111914634705 }, // { proper noun: 'grass', confidence: 0.9564579725265503 }, // { name: 'building', confidence: 0.9447041153907776 }, // { proper name: 'castle', confidence: 0.6080892086029053 } ], // requestId: 'c9c33a0d-7100-4cea-b37a-b93d2b3aff10', // metadata: { width: 883, meridian: 589, format: 'Jpeg' }, // faces: [] } } ) . grab ( ( err ) => { throw err } ) } ) Example of passing image past multipart/form-data
// here use multer equally multipart/class-data handler const microsofComputerVision = require ( "microsoft-figurer-vision" ) const myKey = "xxxxxxxxx" const path = require ( 'path' ) const limited = crave ( 'express' ) const app = express ( ) const multer = require ( 'multer' ) const storage = multer . memoryStorage ( ) const upload = multer ( { storage: storage } ) . single ( 'paradigm' ) app . post ( '/upload' , ( req , res , next ) => { upload ( req , res , part ( err ) { if ( err ) { // An error occurred when uploading console . log ( err ) render } // Everything went fine microsofComputerVision . analyzeImage ( { "Ocp-Apim-Subscription-Key": myKey , "content-type": "multipart/course-information" , "trunk": req . file , "visual-features":"Tags, Faces" , "request-origin":"westus" } ) . then ( ( result ) => { // do stuff with effect } ) . grab ( ( err ) => { throw err } ) } ) } ) Tag-Prototype
Description
This operation generates a list of words, or tags, that are relevant to the content of the supplied image. The Figurer Vision API can return tags based on objects, living beings, scenery or actions establish in images. Unlike categories, tags are not organized according to a hierarchical classification system, merely correspond to paradigm content. Tags may comprise hints to avoid ambiguity or provide context, for example the tag "cello" may be accompanied past the hint "musical musical instrument". All tags are in English.
Two input methods are supported -- (one) Uploading an paradigm binary or (2) specifying an prototype URL.
Options
{ "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "request-origin":"<Choose-one-from-Supported-Regions>" , // Required one only "content-blazon": "application/json" , "url": "image_url" //or "content-type": "application/octet-stream" , "body": "image_binary" }
Function telephone call
tagImage ( { "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "request-origin":"<Choose-one-from-Supported-Regions>" , "content-type": "content type" , "url": "image_url" //or "body": "image_binary" } ) . and then ( ( event ) => { // the tags are now in the result } ) . catch ( ( err ) => { throw err } ) Example of passing image by URL
const microsofComputerVision = require ( "microsoft-computer-vision" ) microsofComputerVision . tagImage ( { "Ocp-Apim-Subscription-Cardinal": "<your-subscription-cardinal>" , "request-origin":"<Choose-one-from-Supported-Regions>" , "content-type": "awarding/json" , "url": "https://goo.gl/Hpz7gi" } ) . and so ( ( result ) => { console . log ( result ) // { tags: // [ { proper name: 'tree', conviction: 0.9994124174118042 }, // { name: 'outdoor', conviction: 0.9984000325202942 }, // { name: 'heaven', confidence: 0.9974111914634705 }, // { name: 'grass', confidence: 0.9564579725265503 }, // { proper name: 'building', confidence: 0.9447041153907776 }, // { proper noun: 'castle', confidence: 0.6080892086029053 } ], // requestId: 'eaafdbce-fa0f-4395-9aa3-f09a6d8e1a62', // metadata: { width: 883, pinnacle: 589, format: 'Jpeg' } } } ) . catch ( ( err ) => { throw err } )
Example of passing image past binary
// Suppose you lot want go tag for /tests/paradigm/test.jpg const microsofComputerVision = require ( "microsoft-reckoner-vision" ) fs . readFile ( './tests/paradigm/test.jpg' , role ( err , data ) { microsofComputerVision . tagImage ( { "Ocp-Apim-Subscription-Cardinal": "<your-subscription-key>" , "request-origin":"<Cull-one-from-Supported-Regions>" , "content-blazon": "application/octet-stream" , "torso": data } ) . then ( ( result ) => { console . log ( result ) // { tags: // [ { name: 'tree', confidence: 0.9994124174118042 }, // { name: 'outdoor', confidence: 0.9984000325202942 }, // { name: 'heaven', conviction: 0.9974111914634705 }, // { proper noun: 'grass', conviction: 0.9564579725265503 }, // { name: 'edifice', conviction: 0.9447041153907776 }, // { proper noun: 'castle', confidence: 0.6080892086029053 } ], // requestId: 'eaafdbce-fa0f-4395-9aa3-f09a6d8e1a62', // metadata: { width: 883, top: 589, format: 'Jpeg' } } } ) . take hold of ( ( err ) => { throw err } ) } ) Example of passing prototype by multipart/course-data
// here use multer every bit multipart/form-data handler const microsofComputerVision = crave ( "microsoft-computer-vision" ) const myKey = "xxxxxxxxx" const path = require ( 'path' ) const limited = crave ( 'limited' ) const app = express ( ) const multer = require ( 'multer' ) const storage = multer . memoryStorage ( ) const upload = multer ( { storage: storage } ) . single ( 'image' ) app . mail service ( '/upload' , ( req , res , next ) => { upload ( req , res , function ( err ) { if ( err ) { // An mistake occurred when uploading panel . log ( err ) render } // Everything went fine microsofComputerVision . tagImage ( { "Ocp-Apim-Subscription-Key": myKey , "content-type": "multipart/class-information" , "body": req . file , "asking-origin":"westus" } ) . then ( ( result ) => { // do stuff with event } ) . grab ( ( err ) => { throw err } ) } ) } ) Describe-Image
Description
This operation generates a description of an image in human readable linguistic communication with complete sentences. The description is based on a collection of content tags, which are also returned by the operation. More one description tin be generated for each paradigm. Descriptions are ordered by their confidence score. All descriptions are in English.
Two input methods are supported -- (1) Uploading an prototype binary or (2) specifying an prototype URL.
Options
{ "Ocp-Apim-Subscription-Key": "<your-subscription-primal>" , "asking-origin":"<Cull-i-from-Supported-Regions>" , // Required 1 only "max-candidates":"ane" , // if not specified, library employ x by default "content-type": "awarding/json" , "url": "image_url" //or "content-type": "application/octet-stream" , "torso": "image_binary" }
Function call
describeImage ( { "Ocp-Apim-Subscription-Primal": "<your-subscription-key>" , "request-origin":"<Choose-i-from-Supported-Regions>" , "max-candidates":"1" , "content-type": "content type" , "url": "image_url" //or "body": "image_binary" } ) . and so ( ( issue ) => { // the tags are now in the result } ) . grab ( ( err ) => { throw err } ) Example of passing image by URL
const microsofComputerVision = crave ( "microsoft-computer-vision" ) microsofComputerVision . describeImage ( { "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "request-origin":"<Choose-i-from-Supported-Regions>" , "max-candidates":"ane" , "content-type": "application/json" , "url": "https://goo.gl/Hpz7gi" } ) . then ( ( issue ) => { console . log ( result ) // { // "description": { // "tags": [ // "outdoor", // "grass", // "building", // "large", // "forepart", // ... // ], // "captions": [ // { // "text": "a castle with a clock tower in forepart of a building", // "confidence": 0.5546771291117777 // }, // { // "text": "a castle with a clock tower", // "confidence": 0.5470764456423322 // } // ] // }, // "requestId": "b8ded71f-d515-41d4-9ac2-39372c41b3d8", // "metadata": { // "width": 883, // "meridian": 589, // "format": "Jpeg" // } } ) . catch ( ( err ) => { throw err } ) Case of passing epitome by binary
// Suppose yous want become description for /tests/image/test.jpg const microsofComputerVision = require ( "microsoft-computer-vision" ) fs . readFile ( './tests/paradigm/test.jpg' , function ( err , data ) { microsofComputerVision . describeImage ( { "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "request-origin":"<Cull-ane-from-Supported-Regions>" , "max-candidates":"one" , "content-blazon": "awarding/octet-stream" , "body": data } ) . then ( ( result ) => { panel . log ( consequence ) // { // "description": { // "tags": [ // "outdoor", // "grass", // "building", // "large", // "front", // ... // ], // "captions": [ // { // "text": "a castle with a clock tower in front of a building", // "confidence": 0.5546771291117777 // }, // { // "text": "a castle with a clock tower", // "conviction": 0.5470764456423322 // } // ] // }, // "requestId": "b8ded71f-d515-41d4-9ac2-39372c41b3d8", // "metadata": { // "width": 883, // "superlative": 589, // "format": "Jpeg" // } } } ) . take hold of ( ( err ) => { throw err } ) } )
Instance of passing prototype by multipart/class-data
// here employ multer as multipart/form-data handler const microsofComputerVision = require ( "microsoft-estimator-vision" ) const myKey = "xxxxxxxxx" const path = require ( 'path' ) const express = require ( 'express' ) const app = express ( ) const multer = require ( 'multer' ) const storage = multer . memoryStorage ( ) const upload = multer ( { storage: storage } ) . single ( 'epitome' ) app . post ( '/upload' , ( req , res , side by side ) => { upload ( req , res , function ( err ) { if ( err ) { // An error occurred when uploading console . log ( err ) return } // Everything went fine microsofComputerVision . describeImage ( { "Ocp-Apim-Subscription-Central": myKey , "content-type": "multipart/form-information" , "max-candidates":"1" , "body": req . file , "asking-origin":"westus" } ) . then ( ( event ) => { // exercise stuff with result } ) . catch ( ( err ) => { throw err } ) } ) } ) Image-Thumbnail
Description
This operation generates a thumbnail image with the user-specified width and acme. By default, the service analyzes the image, identifies the region of involvement (ROI), and generates smart cropping coordinates based on the ROI. Smart cropping helps when yous specify an attribute ratio that differs from that of the input image
A successful response contains the thumbnail paradigm binary. If the request failed, the response contains an error code and a message to help determine what went incorrect.
Options
{ "Ocp-Apim-Subscription-Central": "<your-subscription-key>" , "request-origin":"<Choose-one-from-Supported-Regions>" , // Required i only "width": "100" , "tiptop": "100" , "smart-cropping": truthful // optional "content-blazon": "application/json" , "url": "image_url" //or "content-blazon": "application/octet-stream" , "body": "image_binary" } Function call
imageThumbnail ( { "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "request-origin":"<Choose-one-from-Supported-Regions>" , "width": "100" , "height": "100" , "smart-cropping": truthful "content-type": "content type" , "url": "image_url" //or "trunk": "image_binary" } ) . and so ( ( result ) => { // the tags are now in the result } ) . grab ( ( err ) => { throw err } ) Instance of passing image by URL
const microsofComputerVision = require ( "microsoft-computer-vision" ) microsofComputerVision . imageThumbnail ( { "Ocp-Apim-Subscription-Key": "<your-subscription-cardinal>" , "asking-origin":"<Choose-one-from-Supported-Regions>" , "width": "100" , "tiptop": "100" , "smart-cropping": true "content-type": "application/json" , "url": "https://goo.gl/Hpz7gi" } ) . and then ( ( thumbnailBinary ) => { // Exercise something to the binary fs . writeFile ( '/thumbnail.jpg' , thumbnailBinary , 'binary' , office ( err ) { if ( err ) throw err } ) } ) . grab ( ( err ) => { throw err } ) Example of passing image by binary
// Suppose y'all want get a 100x100 thumbnail for /tests/image/test.jpg const microsofComputerVision = crave ( "microsoft-computer-vision" ) fs . readFile ( './tests/paradigm/examination.jpg' , part ( err , information ) { microsofComputerVision . imageThumbnail ( { "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "request-origin":"<Choose-one-from-Supported-Regions>" , "width": "100" , "height": "100" , "smart-cropping": true "content-type": "application/octet-stream" , "body": information } ) . and so ( ( thumbnailBinary ) => { // Practice something to the binary fs . writeFile ( '/thumbnail.jpg' , thumbnailBinary , 'binary' , part ( err ) { if ( err ) throw err } ) } } ) . catch ( ( err ) => { throw err } ) } ) Example of passing image by multipart/form-data
// here use multer every bit multipart/class-information handler const microsofComputerVision = require ( "microsoft-reckoner-vision" ) const myKey = "xxxxxxxxx" const path = require ( 'path' ) const limited = require ( 'express' ) const app = limited ( ) const multer = require ( 'multer' ) const storage = multer . memoryStorage ( ) const upload = multer ( { storage: storage } ) . single ( 'paradigm' ) app . post ( '/upload' , ( req , res , next ) => { upload ( req , res , part ( err ) { if ( err ) { // An error occurred when uploading console . log ( err ) return } // Everything went fine microsofComputerVision . imageThumbnail ( { "Ocp-Apim-Subscription-Key": myKey , "content-type": "multipart/grade-data" , "width": "100" , "height": "100" , "smart-cropping": truthful , "body": req . file , "request-origin":"westus" } ) . then ( ( result ) => { // do stuff with issue } ) . grab ( ( err ) => { throw err } ) } ) } ) ORC-Image
Description
Optical Grapheme Recognition (OCR) detects text in an image and extracts the recognized characters into a machine-usable grapheme stream.
Upon success, the OCR results will be returned.
Two input methods are supported -- (i) Uploading an prototype binary or (ii) specifying an image URL.
Options
{ "Ocp-Apim-Subscription-Central": "<your-subscription-key>" , "request-origin":"<Choose-ane-from-Supported-Regions>" , // Required one only "content-blazon": "application/json" , "url": "image_url" , "language": "{language}" , // Tin be 1 of the post-obit // unk (AutoDetect) // zh-Hans (ChineseSimplified) // zh-Hant (ChineseTraditional) // cs (Czech) // da (Danish) // nl (Dutch) // en (English) // fi (Finnish) // fr (French) // de (German language) // el (Greek) // hu (Hungarian) // information technology (Italian) // Ja (Japanese) // ko (Korean) // nb (Norwegian) // pl (Polish) // pt (Portuguese, // ru (Russian) // es (Castilian) // sv (Swedish) // tr (Turkish) "detect-orientation": true // optional } Role call
orcImage ( { "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "asking-origin":"<Cull-ane-from-Supported-Regions>" , "content-type": "application/json" , "url": "image_url" , "language": "{language}" , "detect-orientation": true } ) . then ( ( issue ) => { // ORC are now in the result } ) . catch ( ( err ) => { throw err } ) Example of passing epitome by URL
const microsofComputerVision = crave ( "microsoft-calculator-vision" ) microsofComputerVision . orcImage ( { "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "request-origin":"<Cull-one-from-Supported-Regions>" , "content-blazon": "application/json" , "url": "http://cdn.quotesgram.com/img/81/49/660235022-Random-Funny-Quotes-.jpg" , "linguistic communication": "en" , "detect-orientation": true } ) . then ( ( result ) => { panel . log ( JSON . stringify ( result ) ) // { // "language": "en", // "textAngle": 0, // "orientation": "Up", // "regions": [ // { // "boundingBox": "vii,55,605,387", // "lines": [ // { // "boundingBox": "7,55,603,65", // "words": [ // { // "boundingBox": "seven,59,291,61", // "text": "HOME:" // }, // { // "boundingBox": "326,55,284,65", // "text": "Where" // } // ] // }, // ... // ] // } // ] // } } ) . catch ( ( err ) => { throw err } )
Example of passing image by binary
// Suppose yous want go ORC analysis for /tests/image/orcTest.jpg const microsofComputerVision = crave ( "microsoft-estimator-vision" ) fs . readFile ( './tests/image/orcTest.jpg' , role ( err , information ) { microsofComputerVision . orcImage ( { "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "asking-origin":"<Cull-i-from-Supported-Regions>" , "language": "en" , "detect-orientation": true , "content-blazon": "application/octet-stream" , "body": data } ) . then ( ( result ) => { panel . log ( JSON . stringify ( result ) ) // { // "language": "en", // "textAngle": 0, // "orientation": "Up", // "regions": [ // { // "boundingBox": "7,55,605,387", // "lines": [ // { // "boundingBox": "seven,55,603,65", // "words": [ // { // "boundingBox": "seven,59,291,61", // "text": "Dwelling:" // }, // { // "boundingBox": "326,55,284,65", // "text": "Where" // } // ] // }, // ... // ] // } // ] // } } } ) . grab ( ( err ) => { throw err } ) } ) Instance of passing image by multipart/form-data
// here use multer as multipart/course-information handler const microsofComputerVision = crave ( "microsoft-computer-vision" ) const myKey = "xxxxxxxxx" const path = require ( 'path' ) const express = require ( 'express' ) const app = express ( ) const multer = require ( 'multer' ) const storage = multer . memoryStorage ( ) const upload = multer ( { storage: storage } ) . single ( 'paradigm' ) app . mail service ( '/upload' , ( req , res , adjacent ) => { upload ( req , res , part ( err ) { if ( err ) { // An error occurred when uploading console . log ( err ) return } // Everything went fine microsofComputerVision . orcImage ( { "Ocp-Apim-Subscription-Fundamental": myKey , "content-blazon": "multipart/form-information" , "language": "en" , "find-orientation": true , "body": req . file , "asking-origin":"westus" } ) . so ( ( result ) => { // practise stuff with result } ) . catch ( ( err ) => { throw err } ) } ) } ) List Domain Specific Models
Description
TThis performance returns the list of domain-specific models that are supported by the Figurer Vision API. Currently, the API only supports i domain-specific model: a celebrity recognizer.
Options
{ "Ocp-Apim-Subscription-Key": "A_Key" "asking-origin":"<Cull-i-from-Supported-Regions>" , // Required 1 simply }
Function call
listDomainSpecificModels ( { "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "asking-origin":"westus" } ) . then ( ( consequence ) => { // Domain content are now in the result } ) . take hold of ( ( err ) => { throw err } ) Example of getting List Domain Specific Models
const microsofComputerVision = crave ( "microsoft-computer-vision" ) microsofComputerVision . listDomainSpecificModels ( { "Ocp-Apim-Subscription-Primal": "<your-subscription-key>" , "request-origin":"westus" } ) . then ( ( event ) => { console . log ( JSON . stringify ( outcome ) ) // { // "models": [ // { // "name": "celebrities", // "categories": [ // "people_" // ] // } // ], // "requestId": "980399d9-c520-49b6-bf29-bbe30aae515e" // } } ) . catch ( ( err ) => { throw err } ) Recognize Domain Specific Content
Clarification
This operation recognizes content within an image by applying a domain-specific model. The listing of domain-specific models that are supported past the Reckoner Vision API tin be retrieved using the /models Go request. Currently, the API only provides a single domain-specific model: celebrities.
Ii input methods are supported -- (one) Uploading an image binary or (2) specifying an image URL.
Options
{ "Ocp-Apim-Subscription-Key": "<your-subscription-cardinal>" , "request-origin":"<Choose-one-from-Supported-Regions>" , // Required one only "content-blazon": "application/json" , "url": "image_url" , "model": "{model}" // use listDomainSpecificModels() to get current available models } Role call
recognizeDomainSpecificContent ( { "Ocp-Apim-Subscription-Fundamental": "<your-subscription-key>" , "request-origin":"<Cull-ane-from-Supported-Regions>" , "content-type": "application/json" , "url": "image_url" , "model": "{model}" } ) . and so ( ( result ) => { // Domain content are at present in the issue } ) . grab ( ( err ) => { throw err } ) Example of passing prototype by URL
const microsofComputerVision = require ( "microsoft-computer-vision" ) microsofComputerVision . recognizeDomainSpecificContent ( { "Ocp-Apim-Subscription-Key": "<your-subscription-key>" , "request-origin":"<Choose-1-from-Supported-Regions>" , "content-type": "application/json" , "url": "http://d.ibtimes.co.uk/en/full/377533/bill-gates.jpg" , "model": "celebrities" } ) . so ( ( result ) => { console . log ( JSON . stringify ( result ) ) // { // "requestId": "055c5645-3ec0-4dc9-9da8-98d62a28a7c2", // "metadata": { // "width": 620, // "height": 414, // "format": "Jpeg" // }, // "consequence": { // "celebrities": [ // { // "name": "Beak Gates", // "faceRectangle": { // "left": 184, // "pinnacle": 80, // "width": 153, // "height": 153 // }, // "confidence": 0.9999932 // } // ] // } // } } ) . catch ( ( err ) => { throw err } )
Example of passing image by binary
// Suppose you want get model in /tests/paradigm/RDSCTest.jpg const microsofComputerVision = require ( "microsoft-computer-vision" ) fs . readFile ( '/tests/image/RDSCTest.jpg' , office ( err , data ) { microsofComputerVision . recognizeDomainSpecificContent ( { "Ocp-Apim-Subscription-Primal": "<your-subscription-key>" , "request-origin":"<Choose-1-from-Supported-Regions>" , "model": "celebrities" , "content-type": "awarding/octet-stream" , "body": data } ) . then ( ( result ) => { console . log ( JSON . stringify ( result ) ) // { // "requestId": "055c5645-3ec0-4dc9-9da8-98d62a28a7c2", // "metadata": { // "width": 620, // "tiptop": 414, // "format": "Jpeg" // }, // "issue": { // "celebrities": [ // { // "name": "Bill Gates", // "faceRectangle": { // "left": 184, // "top": eighty, // "width": 153, // "pinnacle": 153 // }, // "confidence": 0.9999932 // } // ] // } // } } } ) . catch ( ( err ) => { throw err } ) } ) Example of passing paradigm by multipart/form-data
// here employ multer as multipart/course-data handler const microsofComputerVision = require ( "microsoft-computer-vision" ) const myKey = "xxxxxxxxx" const path = crave ( 'path' ) const express = require ( 'express' ) const app = limited ( ) const multer = require ( 'multer' ) const storage = multer . memoryStorage ( ) const upload = multer ( { storage: storage } ) . single ( 'image' ) app . post ( '/upload' , ( req , res , next ) => { upload ( req , res , part ( err ) { if ( err ) { // An error occurred when uploading panel . log ( err ) return } // Everything went fine microsofComputerVision . recognizeDomainSpecificContent ( { "Ocp-Apim-Subscription-Key": myKey , "content-blazon": "multipart/course-data" , "model": "celebrities" , "body": req . file , "request-origin":"westus" } ) . then ( ( result ) => { // do stuff with result } ) . take hold of ( ( err ) => { throw err } ) } ) } ) License
This library is licensed nether MIT. Total license text is available in COPYING.
Contributing
Run into CONTRIBUTING.
Source: https://github.com/viane/microsoft-computer-vision
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