fix readme

.github/workflows/flutter.yaml

@@ -39,4 +39,4 @@ jobs:
 
       - name: Analyze project source
         working-directory: ./packages/google_vision_flutter
-        run: dart analyze .
+        run: dart analyze . --no-fatal-warnings

packages/google_vision/tool/README.md

@@ -91,12 +91,12 @@ print('done.');
 | Future<FullTextAnnotation?> **documentTextDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | Extracts text from an image (or file); the response is optimized for dense text and documents. The break information.  A specific use of documentTextDetection is to detect handwriting in an image. |
 | Future<List<FaceAnnotation>> **faceDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | Face Detection detects multiple faces within an image along with the associated key facial attributes such as emotional state or wearing headwear. |
 | Future<ImagePropertiesAnnotation?> **imageProperties**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | The Image Properties feature detects general attributes of the image, such as dominant color. |
-| Future<List<EntityAnnotation>> **labelDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | Labels can identify general objects, locations, activities, animal species, products, and more.  Labels are returned in English only. |
-| Future<List<EntityAnnotation>> **landmarkDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | Landmark Detection detects popular natural and human-made structures within an image. |
+| Future<List\<EntityAnnotation>> **labelDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | Labels can identify general objects, locations, activities, animal species, products, and more.  Labels are returned in English only. |
+| Future<List\<EntityAnnotation>> **landmarkDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | Landmark Detection detects popular natural and human-made structures within an image. |
 | Future<List<EntityAnnotation>> **logoDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | Logo Detection detects popular product logos within an image. |
-| Future<List<LocalizedObjectAnnotation>> **objectLocalization**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | The Vision API can detect and extract multiple objects in an image with Object Localization.  Object localization identifies multiple objects in an image and provides a LocalizedObjectAnnotation for each object in the image. Each LocalizedObjectAnnotation identifies information about the object, the position of the object, and rectangular bounds for the region of the image that contains the object.  Object localization identifies both significant and less-prominent objects in an image. |
+| Future<List\<LocalizedObjectAnnotation>> **objectLocalization**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | The Vision API can detect and extract multiple objects in an image with Object Localization.  Object localization identifies multiple objects in an image and provides a LocalizedObjectAnnotation for each object in the image. Each LocalizedObjectAnnotation identifies information about the object, the position of the object, and rectangular bounds for the region of the image that contains the object.  Object localization identifies both significant and less-prominent objects in an image. |
 | Future<SafeSearchAnnotation?> **safeSearchDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | SafeSearch Detection detects explicit content such as adult content or violent content within an image. This feature uses five categories (adult, spoof, medical, violence, and racy) and returns the likelihood that each is present in a given image. See the SafeSearchAnnotation page for details on these fields. |
-| Future<List<EntityAnnotation>> **textDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | Detects and extracts text from any image. For example, a photograph might contain a street sign or traffic sign. The JSON includes the entire extracted string, as well as individual words, and their bounding boxes. |
+| Future<List\<EntityAnnotation>> **textDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | Detects and extracts text from any image. For example, a photograph might contain a street sign or traffic sign. The JSON includes the entire extracted string, as well as individual words, and their bounding boxes. |
 | Future<WebDetection?> **webDetection**(<br/>&nbsp;&nbsp;JsonImage jsonImage, <br/>&nbsp;&nbsp;{int maxResults = 10,}<br/>) | Web Detection detects Web references to an image. |
 
 ## Usage with Flutter

packages/google_vision_flutter/example/lib/face_detection.dart

@@ -51,16 +51,15 @@ class _MyHomePageState extends State<FaceDetection> {
                         'assets/service_credentials.json'),
                     imageProvider: _processImage.image,
                     builder: (BuildContext context,
-                        List<FaceAnnotation>? faceAnnotations,
-                        ImageDetail imageDetail) {
-                      return CustomPaint(
-                        foregroundPainter: AnnotationPainter(
-                          faceAnnotations: faceAnnotations,
-                          imageDetail: imageDetail,
-                        ),
-                        child: Image(image: _processImage.image),
-                      );
-                    },
+                            List<FaceAnnotation>? faceAnnotations,
+                            ImageDetail imageDetail) =>
+                        CustomPaint(
+                      foregroundPainter: AnnotationPainter(
+                        faceAnnotations: faceAnnotations,
+                        imageDetail: imageDetail,
+                      ),
+                      child: Image(image: _processImage.image),
+                    ),
                   ),
                 )
               ],

packages/google_vision_flutter/pubspec.yaml

@@ -1,6 +1,6 @@
 name: google_vision_flutter
 description: Add Google Visions image labeling, face, logo, and landmark detection into your Flutter applications.
-version: 1.1.0
+version: 1.2.0
 repository: https://github.com/faithoflifedev/google_vision
 homepage: https://github.com/faithoflifedev/google_vision/tree/main/packages/google_vision_flutter
 
@@ -11,7 +11,7 @@ environment:
   flutter: ">=3.16.0"
 
 dependencies:
-  google_vision: ^1.2.0+1
+  google_vision: ^1.2.0+4
   # google_vision:
   #   path: ../google_vision
 

packages/google_vision_flutter/tool/README.md

@@ -1,10 +1,10 @@
 # Google Vision Images Flutter Widget
 
-[![pub package](https://img.shields.io/pub/v/google_vision.svg)](https://pub.dartlang.org/packages/google_vision)
+[![pub package](https://img.shields.io/pub/v/google_vision_flutter.svg)](https://pub.dartlang.org/packages/google_vision_flutter)
 
 Native [Dart](https://dart.dev/) package that integrates Google Vision features, including image labeling, face, logo, and landmark detection into Flutter applications.
 
-[![Build Status](https://github.com/faithoflifedev/google_vision/workflows/Dart/badge.svg)](https://github.com/faithoflifedev/google_vision/actions) [![github last commit](https://shields.io/github/last-commit/faithoflifedev/google_vision)](https://shields.io/github/last-commit/faithoflifedev/google_vision) [![github build](https://img.shields.io/github/actions/workflow/status/faithoflifedev/google_vision/dart.yml?branch=main)](https://shields.io/github/workflow/status/faithoflifedev/google_vision/Dart) [![github issues](https://shields.io/github/issues/faithoflifedev/google_vision)](https://shields.io/github/issues/faithoflifedev/google_vision)
+[![Build Status](https://github.com/faithoflifedev/google_vision/workflows/Dart/badge.svg)](https://github.com/faithoflifedev/google_vision/actions) [![github last commit](https://shields.io/github/last-commit/faithoflifedev/google_vision)](https://shields.io/github/last-commit/faithoflifedev/google_vision) [![github build](https://img.shields.io/github/actions/workflow/status/faithoflifedev/google_vision_workspace/flutter.yaml?branch=main)](https://shields.io/github/workflow/status/faithoflifedev/google_vision/Dart) [![github issues](https://shields.io/github/issues/faithoflifedev/google_vision)](https://shields.io/github/issues/faithoflifedev/google_vision)
 
 Please feel free to submit PRs for any additional helper methods, or report an [issue](https://github.com/faithoflifedev/google_vision/issues) for a missing helper method and I'll add it if I have time available.
 
@@ -33,49 +33,80 @@ dependencies:
 
 ### Usage of the GoogleVisionBuilder Widget
 
+See the [example app](https://github.com/faithoflifedev/google_vision_workspace/tree/main/packages/google_vision_flutter/example) for the full code.
+
 ```dart
-GoogleVisionBuilder(
-  // use the underlying `google_vision` package to initialize and authenticate for future API calls
-  googleVision: GoogleVision.withAsset(
-      'assets/service_credentials.json'),
-  // the image that will be processed by the Google Vision API
-  imageProvider: _processImage.image,
-  // the features to detect in the image
-  features: [
-    Feature(
-      maxResults: 10,
-      type: AnnotationType
-          .faceDetection,
-    ),
-    Feature(
-      maxResults: 10,
-      type: AnnotationType
-          .objectLocalization,
-    ),
-  ],
-  builder: (
-    BuildContext context,
-    AsyncSnapshot<AnnotatedResponses> snapshot,
-    ImageDetail? imageDetail,
-  ) {
-    if (snapshot.hasError) {
-      return Text('Error: ${snapshot.error}');
-    }
-
-    if (snapshot.hasData) {
-      // custom code that will write annotation text and boxes around detected objects (see example)
-      return CustomPaint(
-        foregroundPainter: AnnotationPainter(
-          annotatedResponses: snapshot.data!,
-          imageDetail: imageDetail!,
+import 'package:flutter/material.dart';
+import 'package:google_vision_flutter/google_vision_flutter.dart';
+
+class FaceDetection extends StatefulWidget {
+  const FaceDetection({super.key, required this.title});
+
+  final String title;
+
+  @override
+  State<FaceDetection> createState() => _MyHomePageState();
+}
+
+class _MyHomePageState extends State<FaceDetection> {
+  final _processImage = Image.asset(
+    'assets/young-man-smiling.jpg',
+    fit: BoxFit.fitWidth,
+  );
+
+  @override
+  Widget build(BuildContext context) => SafeArea(
+        child: Scaffold(
+          appBar: AppBar(
+            leading: IconButton(
+              icon: const Icon(Icons.arrow_back, color: Colors.black),
+              onPressed: () => Navigator.of(context).pop(),
+            ),
+            title: Text(widget.title),
+          ),
+          body: SingleChildScrollView(
+            child: Column(
+              mainAxisAlignment: MainAxisAlignment.start,
+              children: <Widget>[
+                const Padding(
+                  padding: EdgeInsets.all(8.0),
+                  child: Text('assets/young-man-smiling.jpg'),
+                ),
+                Padding(
+                  padding: const EdgeInsets.all(8.0),
+                  child: _processImage,
+                ),
+                const Padding(
+                  padding: EdgeInsets.all(8.0),
+                  child: Text(
+                    'Processed image will appear below:',
+                  ),
+                ),
+                Padding(
+                  padding: const EdgeInsets.all(8.0),
+                  child: GoogleVisionBuilder.faceDetection(
+                    googleVision: GoogleVision.withAsset(
+                        'assets/service_credentials.json'),
+                    imageProvider: _processImage.image,
+                    builder: (BuildContext context,
+                        List<FaceAnnotation>? faceAnnotations,
+                        ImageDetail imageDetail) {
+                      return CustomPaint(
+                        foregroundPainter: AnnotationPainter(
+                          faceAnnotations: faceAnnotations,
+                          imageDetail: imageDetail,
+                        ),
+                        child: Image(image: _processImage.image),
+                      );
+                    },
+                  ),
+                )
+              ],
+            ),
+          ),
         ),
-        child: Image(image: _processImage.image),
       );
-    }
-
-    return const Center(child: CircularProgressIndicator());
-  },
-)
+}
 ```
 
 ## Contributing