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GitHub 儲存庫jigyasa1411/flutter_nanonets_ocr

flutter_nanonets_ocr

jigyasa1411/flutter_nanonets_ocr open-source repository details.

flutter_nanonets_ocr 專案封面
星標
2
分支
0
最近推送(UTC)
2024年4月4日
專案狀態
未封存

原始 README

以下為英文專案原文快照,最新內容請造訪 GitHub。

Description

Nanonets provides an OCR service where we can create models, train them and use them for OCR predictions. This package is developed to make usage of Nanonets OCR api directly without having to write manual code for integrating it in your application.

Follow this blog for step by step integration of Nanonets OCR model in a Flutter application: Implementing Nanonets OCR in Flutter

Get started

Add dependency You can use the command to add flutter_nanonets_ocr as a dependency with the latest stable version:

   $ dart pub add flutter_nanonets_ocr

Or you can manually add flutter_nanonets_ocr into the dependencies section in your pubspec.yaml:

  dependencies:
      flutter_nanonets_ocr: ^0.0.14

Example

Fetching details using document file
 import 'package:flutter_nanonets_ocr/flutter_nanonets_ocr.dart';
  
 String apiKey = "INSERT NANONETS API KEY";

 NanonetsOCR nanonetsOCR = NanonetsOCR();

 FutureBuilder(
            future: nanonetsOCR.predictDocumentFile(apiKey, docImage,
                    "INSERT OCR MODEL ID HERE", context),
            builder: (context, snapshot) {
              if (snapshot.connectionState == ConnectionState.active) {
                return loadingWidget();
              } else if (snapshot.connectionState == ConnectionState.done) {
                return yourSuccessWidget();
              } else {
                return loadingWidget();
              }
            });


Fetching details using document url
 import 'package:flutter_nanonets_ocr/flutter_nanonets_ocr.dart';
  
 String apiKey = "INSERT NANONETS API KEY";

 NanonetsOCR nanonetsOCR = NanonetsOCR();

 FutureBuilder(
            future: nanonetsOCR.predictDocumentURL(apiKey, docImageUrl,
                    "INSERT OCR MODEL ID HERE", context),
            builder: (context, snapshot) {
              if (snapshot.connectionState == ConnectionState.active) {
                return loadingWidget();
              } else if (snapshot.connectionState == ConnectionState.done) {
                return yourSuccessWidget();
              } else {
                return loadingWidget();
              }
            });


jigyasa1411 GitHub avatar
GitHub 作者

jigyasa1411 ↗

語言Objective-CMakefileDartC++CMakeCRubySwiftHTMLShellJavaKotlin

此儲存庫發佈的套件

使用的依賴

依賴清單 4 項

  • flutter{"sdk":"flutter"}
  • dio^5.4.2
  • flutter_test開發依賴{"sdk":"flutter"}
  • flutter_lints開發依賴^2.0.0

如何選擇適合專案的儲存庫?

先依使用情境篩選,再比較專案活躍情況,最後到原始儲存庫確認使用要求。

  1. 透過儲存庫名稱、作者或描述搜尋,再依技術分類縮小範圍。
  2. 綜合星標、分支與最近推送比較專案;星標反映社群關注,不保證品質。
  3. 使用前在 GitHub 確認 README、授權條款與 Issues。

來源與維護

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