flutter pub add opencv_4根據套件公開資料產生的選型評估，僅供參考。
一個將 OpenCV 模組集合整合至 Flutter 應用的套件，讓 Flutter 應用具備電腦視覺功能。此套件支援 Android 與 iOS 平台，讓開發者能直接在其應用中使用 OpenCV 強大的影像與影片處理功能。該套件專為原生 OpenCV 庫設計，提供物件偵測、影像濾波與人臉辨識等功能。適用於多媒體編輯、擴增實境與即時影像分析任務。
以下為關聯原始碼儲存庫的 README 原文快照，最新內容請造訪原始碼儲存庫。
This package contains the implementation of OpenCV modules, the version used is 4.3.0 for both Android and iOS platforms.
Cv2.ctvColorCv2.COLOR_BGR2GRAYAdd this to your package's pubspec.yaml file:
dependencies:
opencv_4: ^1.0.0
You can install packages from the command line:
with Flutter:
$ flutter pub get
Now in your Dart code, you can use:
import 'package:opencv_4/opencv_4.dart';
android (folder) -> app (folder) -> build.gradledefaultConfig {
...
minSdkVersion 21
...
}
Nullsafety If you are going to test the example you need to configure pubspect.yamlenvironment:
sdk: ">=2.12.0 <3.0.0"
Cv2: Class that contains the implementation of OpenCV modules
CVPathFrom: Allows you to configure the path to process the images
URL (static constant) configure opencv for web imagesGALLERY_CAMERA (static constant) configure opencv for images obtained from the image_picker packageASSETS (static constant) configure opencv for flutter images in pubspect.yaml --> assets/test.jpg
Some examples
Must be called within a async function
Uint8List _byte = await Cv2.bilateralFilter(
pathFrom: CVPathFrom.ASSETS,
pathString: 'assets/Test.JPG',
diameter: 20,
sigmaColor: 75,
sigmaSpace: 75,
borderType: Cv2.BORDER_DEFAULT,
);
setState(() {
_byte;
});
Show result in an image widget
Image.memory(
_byte,
width: 300,
height: 300,
fit: BoxFit.fill,
)
Note: If you want to process an image from the web you must configure pathFrom: CVPathFrom.URL replace in pathString with a URL, for example. pathString: 'https://mir-s3-cdn-cf.behance.net/project_modules/fs/313f8e114930481.6044f05fcd866.jpeg'
Uint8List _byte = await Cv2.dilate(
pathFrom: CVPathFrom.ASSETS,
pathString: 'assets/Test.JPG',
kernelSize: [3, 3],
);
setState(() {
_byte;
});
Uint8List _byte = await Cv2.filter2D(
pathFrom: CVPathFrom.URL,
pathString:
'https://mir-s3-cdn-cf.behance.net/project_modules/max_1200/634dba114930481.6044f05fcb2dd.jpeg',
outputDepth: -1,
kernelSize: [2, 2],
);
setState(() {
_byte;
});
Uint8List _byte = await Cv2.medianBlur(
pathFrom: CVPathFrom.URL,
pathString:
'https://mir-s3-cdn-cf.behance.net/project_modules/max_1200/16fe9f114930481.6044f05fca574.jpeg',
kernelSize: 19,
);
setState(() {
_byte;
});
Uint8List _byte = await Cv2.morphologyEx(
pathFrom: CVPathFrom.URL,
pathString:
'https://mir-s3-cdn-cf.behance.net/project_modules/fs/c7da51114930481.6044f05fcc76a.jpeg',
operation: Cv2.MORPH_TOPHAT,
kernelSize: [5, 5],
);
setState(() {
_byte;
});
Uint8List _byte = await Cv2.pyrMeanShiftFiltering(
pathFrom: CVPathFrom.ASSETS,
pathString: 'assets/Test.JPG',
spatialWindowRadius: 20,
colorWindowRadius: 20,
);
setState(() {
_byte;
});
Uint8List _byte = await Cv2.scharr(
pathFrom: CVPathFrom.ASSETS,
pathString: 'assets/Test.JPG',
depth: Cv2.CV_SCHARR,
dx: 0,
dy: 1,
);
setState(() {
_byte;
});
Uint8List _byte = await Cv2.threshold(
pathFrom: CVPathFrom.ASSETS,
pathString: 'assets/Test.JPG',
thresholdValue: 150,
maxThresholdValue: 200,
thresholdType: Cv2.THRESH_BINARY,
);
setState(() {
_byte;
});
Uint8List _byte = await Cv2.adaptiveThreshold(
pathFrom: CVPathFrom.ASSETS,
pathString: 'assets/Test.JPG',
maxValue: 125,
adaptiveMethod: Cv2.ADAPTIVE_THRESH_MEAN_C,
thresholdType: Cv2.THRESH_BINARY,
blockSize: 11,
constantValue: 12,
);
setState(() {
_byte;
});
Uint8List _byte = await Cv2.cvtColor(
pathFrom: CVPathFrom.ASSETS,
pathString: 'assets/Test.JPG',
outputType: Cv2.COLOR_BGR2GRAY,
);
setState(() {
_byte;
});
Uint8List _byte = await Cv2.applyColorMap(
pathFrom: CVPathFrom.URL,
pathString:
'https://mir-s3-cdn-cf.behance.net/project_modules/max_1200/16fe9f114930481.6044f05fca574.jpeg?raw=true',
colorMap: Cv2.COLORMAP_JET,
);
setState(() {
_byte;
});
Please file feature requests and bugs at the issue tracker.
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^3.0.1暫無相關資料。