opencv_dart 1.2.2 opencv_dart: ^1.2.2 copied to clipboard
OpenCV4 bindings for Dart language and Flutter, using dart:ffi. The most complete OpenCV bindings for Dart! With asynchronous support now!
// ignore_for_file: avoid_print
import 'dart:isolate';
import 'dart:typed_data';
import 'package:flutter/foundation.dart';
import 'package:flutter/material.dart';
import 'package:opencv_dart/opencv_dart.dart' as cv;
import 'package:image_picker/image_picker.dart';
void main() {
runApp(const MyApp());
}
class MyApp extends StatefulWidget {
const MyApp({super.key});
@override
State<MyApp> createState() => _MyAppState();
}
class _MyAppState extends State<MyApp> {
var images = <Uint8List>[];
@override
void initState() {
super.initState();
}
@override
void dispose() {
super.dispose();
}
// native resources are unsendable for isolate, so use raw data or encoded Uint8List and convert back
Future<(Uint8List, Uint8List)> heavyTask(Uint8List buffer) async =>
Isolate.run(() {
final im = cv.imdecode(buffer, cv.IMREAD_COLOR);
late cv.Mat gray, blur;
for (var i = 0; i < 1000; i++) {
gray = cv.cvtColor(im, cv.COLOR_BGR2GRAY);
blur = cv.gaussianBlur(im, (7, 7), 2, sigmaY: 2);
}
return (cv.imencode(".png", gray).$2, cv.imencode(".png", blur).$2);
});
Future<(cv.Mat, cv.Mat)> heavyTaskAsync(cv.Mat im) async {
late cv.Mat gray, blur;
for (var i = 0; i < 1000; i++) {
gray = await cv.cvtColorAsync(im, cv.COLOR_BGR2GRAY);
blur = await cv.gaussianBlurAsync(im, (7, 7), 2, sigmaY: 2);
}
return (gray, blur);
}
@override
Widget build(BuildContext context) {
return MaterialApp(
home: Scaffold(
appBar: AppBar(
title: const Text('Native Packages'),
),
body: Container(
alignment: Alignment.center,
child: Column(
children: [
ElevatedButton(
onPressed: () async {
final picker = ImagePicker();
final img =
await picker.pickImage(source: ImageSource.gallery);
if (img != null) {
final path = img.path;
final mat = cv.imread(path);
print(
"cv.imread: width: ${mat.cols}, height: ${mat.rows}, path: $path");
final (success, bytes) = cv.imencode(".png", mat);
print("imencode: $success, ${bytes.length}");
// heavy computation
final (gray, blur) = await heavyTask(bytes);
setState(() {
images = [bytes, gray, blur];
});
}
},
child: const Text("Pick Image"),
),
ElevatedButton(
onPressed: () async {
final data = await DefaultAssetBundle.of(context)
.load("images/lenna.png");
final bytes = data.buffer.asUint8List();
// heavy computation
// final (gray, blur) = await heavyTask(bytes);
// setState(() {
// images = [bytes, gray, blur];
// });
final (gray, blur) =
await heavyTaskAsync(cv.imdecode(bytes, cv.IMREAD_COLOR));
setState(() {
images = [
bytes,
cv.imencode(".png", gray).$2,
cv.imencode(".png", blur).$2
];
});
},
child: const Text("Process"),
),
Expanded(
flex: 2,
child: Row(
children: [
Expanded(
child: ListView.builder(
itemCount: images.length,
itemBuilder: (ctx, idx) => Card(
child: Image.memory(images[idx]),
),
),
),
Expanded(
child: SingleChildScrollView(
child: Text(cv.getBuildInformation()),
),
),
],
),
),
],
),
),
),
);
}
}