image_feature_detector 0.1.0 image_feature_detector: ^0.1.0 copied to clipboard
A image feature detector using OpenCV for Android and IOS
import 'dart:io';
import 'package:flutter/material.dart';
import 'dart:async';
import 'package:flutter/services.dart';
import 'package:image_feature_detector/image_feature_detector.dart';
import 'package:path_provider/path_provider.dart';
void main() => runApp(MyApp());
class MyApp extends StatefulWidget {
@override
_MyAppState createState() => _MyAppState();
}
class _MyAppState extends State<MyApp> {
String _platformVersion = 'Unknown';
String _filePath;
Contour _contour;
Point _testPoint;
@override
void initState() {
super.initState();
initPlatformState();
// Use the RelativeCoodrinateHelper to calculate a value for our point.
setState(() {
_testPoint = RelativeCoordianteHelper.calculatePointDinstances(
Point(x: 0.05, y: 0.05), ImageDimensions(500, 500));
});
}
// Platform messages are asynchronous, so we initialize in an async method.
Future<void> initPlatformState() async {
String platformVersion;
// Platform messages may fail, so we use a try/catch PlatformException.
try {
platformVersion = await ImageFeatureDetector.getVersionString;
} on PlatformException {
platformVersion = 'Failed to get platform version.';
}
try {
var directory2 = await getApplicationDocumentsDirectory();
var path = "${directory2.path}/images/tmp.png";
var file = File(path);
if (!await file.exists()) {
var data = await rootBundle.load("images/rectangle.png");
try {
await file.create(recursive: true);
} catch (e) {
print(e);
}
file.writeAsBytes(
data.buffer.asUint8List(data.offsetInBytes, data.lengthInBytes));
}
setState(() {
_filePath = path;
});
} on PlatformException {}
// If the widget was removed from the tree while the asynchronous platform
// message was in flight, we want to discard the reply rather than calling
// setState to update our non-existent appearance.
if (!mounted) return;
setState(() {
_platformVersion = platformVersion;
});
}
@override
Widget build(BuildContext context) {
// var image = _filePath == null ? Container() : Image.file(File(_filePath));
Column c;
if (_contour != null) {
c = Column(
children: _contour.contour.map((p) {
return Text(
"X: ${RelativeCoordianteHelper.calculateDistance(p.x, 500)}, Y: ${RelativeCoordianteHelper.calculateDistance(p.y, 500)}");
}).toList(),
);
} else {
c = Column(
children: <Widget>[Text("No contour calculated")],
);
}
return MaterialApp(
home: Scaffold(
appBar: AppBar(
title: const Text('Plugin example app'),
),
body: Center(
child: Column(
children: <Widget>[
Text('Running on: $_platformVersion\n'),
c,
Text("Example RelativePointHelper using Point:"),
Text(
"Calculated values: x: ${_testPoint != null ? _testPoint.x : "-"}, y: ${_testPoint != null ? _testPoint.y : "-"}")
],
)),
floatingActionButton: FloatingActionButton(
child: Icon(Icons.image),
onPressed: () async {
try {
var c = await ImageFeatureDetector.detectRectangles(_filePath);
setState(() {
_contour = c;
});
} on PlatformException {
print("error happened");
}
}),
),
);
}
}