-
-
Save shyamalschandra/f53aba58440821085b3016e53c1c5f0b to your computer and use it in GitHub Desktop.
Tesseract.JS OCR
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| <html> | |
| <head> | |
| <title>Tesseract</title> | |
| <style> | |
| body { | |
| align-items: center; | |
| display: flex; | |
| flex-direction: row; | |
| justify-content: center; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <!-- Test image --> | |
| <img id="test"> | |
| <!-- Tesseract --> | |
| <script src='https://cdn.rawgit.com/naptha/tesseract.js/1.0.10/dist/tesseract.js'></script> | |
| <!-- Application --> | |
| <script> | |
| class Analyze { | |
| constructor() { | |
| // Test cases | |
| this.annotations = []; | |
| // Which test | |
| this.index = 0; | |
| // How many passed | |
| this.pass = 0; | |
| // Reference to test image | |
| this.image = document.querySelector( '#test' ); | |
| this.image.addEventListener( 'load', ( evt ) => this.doImageLoaded( evt ) ); | |
| // Load the annotations | |
| // Test cases | |
| this.xhr = new XMLHttpRequest(); | |
| this.xhr.addEventListener( 'load', ( evt ) => this.doAnnotationsLoaded( evt ) ); | |
| this.xhr.open( 'GET', 'dataset/annotations.txt', true ); | |
| this.xhr.send( null ); | |
| } | |
| doAnnotationsLoaded( evt ) { | |
| let rows = this.xhr.responseText.split( '\n' ); | |
| for( let r = 0; r < rows.length; r++ ) { | |
| let pair = rows[r].split( ',' ); | |
| this.annotations.push( { | |
| source: pair[0], | |
| text: pair[1] | |
| } ); | |
| } | |
| console.log( 'Annotations loaded.' ); | |
| this.analyze(); | |
| } | |
| doImageLoaded( evt ) { | |
| console.log( 'Image loaded.' ); | |
| Tesseract.recognize( this.image ) | |
| .then( ( result ) => { | |
| console.log( 'Test #' + ( this.index + 1 ) ); | |
| this.annotations[this.index].found = result.text.trim(); | |
| this.annotations[this.index].confidence = result.confidence; | |
| if( this.annotations[this.index].text.toLowerCase() == result.text.trim().toLowerCase() ) { | |
| this.pass = this.pass + 1; | |
| this.annotations[this.index].pass = true; | |
| } else { | |
| this.annotations[this.index].pass = false; | |
| } | |
| // if( this.index < ( this.annotations.length - 1 ) ) { | |
| if( this.index < 9 ) { | |
| console.log( | |
| this.annotations[this.index].pass + | |
| ': ' + | |
| this.annotations[this.index].text + | |
| ', ' + | |
| this.annotations[this.index].found | |
| ); | |
| this.index = this.index + 1; | |
| this.analyze(); | |
| } else { | |
| console.log( this.pass ); | |
| console.log( this.annotations ); | |
| } | |
| } ); | |
| } | |
| analyze() { | |
| this.image.src = 'dataset/' + this.annotations[this.index].source; | |
| } | |
| } | |
| let app = new Analyze(); | |
| </script> | |
| </body> | |
| </html> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment