【移动应用开发技术】Android中怎么实现一个拍照翻译小程序

【移动应用开发技术】Android中怎么实现一个拍照翻译小程序

本篇文章为大家展示了Android中怎么实现一个拍照翻译小程序，内容简明扼要并且容易理解，绝对能使你眼前一亮，通过这篇文章的详细介绍希望你能有所收获。  由于使用了云侧的服务，需要到华为的开发者联盟注册开发者账号，并且在云端开通这些服务，这里就不细讲了，直接按照官方的的AppGalleryConnect配置、开通服务部分操作步骤进行即可：  

注册开发者，开通服务参考请戳：1.1在项目级gradle里添加华为maven仓  打开AndroidStudio项目级build.gradle文件。  增量添加如下maven地址：buildscript

{

repositories

{

maven

{url

'/repo/'}

}

}allprojects

{

repositories

{

maven

{

url

'/repo/'}

}

}1.2在应用级的build.gradle里面加上SDK依赖  集成SDK。（由于使用云侧能力，只引入SDK基础包即可）dependencies{

implementation

'com.huawei.hms:ml-computer-vision:00'

implementation

'com.huawei.hms:ml-computer-translate:00'

}1.3在AndroidManifest.xml文件里面申请相机和存储权限  要使应用程序能够在用户从华为应用市场安装您的应用程序后，自动将最新的机器学习模型更新到用户设备，请将以下语句添加到该应用程序的AndroidManifest.xml文件中：<manifest

<application

<meta-data

android:name="com.huawei.hms.ml.DEPENDENCY"

android:value=

"imgseg

"/>

</application>

</manifest>1.4在AndroidManifest.xml文件里面申请相机和存储权限<uses-permission

android:name="android.permission.CAMERA"

/><uses-permission

android:name="android.permission.WRITE_EXTERNAL_STORAGE"

/><uses-feature

android:name="android.hardware.camera"

/><uses-feature

android:name="android.hardware.camera.autofocus"

/>2代码开发关键步骤2.1动态权限申请private

static

final

int

CAMERA_PERMISSION_CODE

=

1;

@Override

public

void

onCreate(Bundle

savedInstanceState)

{

//

Checking

camera

permission

if

(!allPermissionsGranted())

{

getRuntimePermissions();

}}2.2创建云侧文本分析器。可以通过文本检测配置器“MLRemoteTextSetting”创建文本分析器MLRemoteTextSetting

setting

=

(new

MLRemoteTextSetting.Factory()).

setTextDensityScene(MLRemoteTextSetting.OCR_LOOSE_SCENE).create();this.textAnalyzer

=

MLAnalyzerFactory.getInstance().getRemoteTextAnalyzer(setting);2.3通过android.graphics.Bitmap创建“MLFrame”对象用于分析器检测图片MLFrame

mlFrame

=

new

MLFrame.Creator().setBitmap(this.originBitmap).create();2.4

调用“asyncAnalyseFrame”方法进行文本检测Task<MLText>

task

=

this.textAnalyzer.asyncAnalyseFrame(mlFrame);

task.addOnSuccessListener(new

OnSuccessListener<MLText>()

{

@Override

public

void

onSuccess(MLText

mlText)

{

//

Transacting

logic

for

segment

success.

if

(mlText

!=

null)

{

RemoteTranslateActivity.this.remoteDetectSuccess(mlText);

}

else

{

RemoteTranslateActivity.this.displayFailure();

}

}

}).addOnFailureListener(new

OnFailureListener()

{

@Override

public

void

onFailure(Exception

e)

{

//

Transacting

logic

for

segment

failure.

RemoteTranslateActivity.this.displayFailure();

return;

}

});2.5创建文本翻译器。可以通过文本翻译器自定义参数类“MLRemoteTranslateSetting”创建翻译器MLRemoteTranslateSetting.Factory

factory

=

new

MLRemoteTranslateSetting

.Factory()

//

Set

the

target

language

code.

The

ISO

639-1

standard

is

used.

.setTargetLangCode(this.dstLanguage);

if

(!this.srcLanguage.equals("AUTO"))

{

//

Set

the

source

language

code.

The

ISO

639-1

standard

is

used.

factory.setSourceLangCode(this.srcLanguage);

}

this.translator

=

MLTranslatorFactory.getInstance().getRemoteTranslator(factory.create());2.6调用“asyncAnalyseFrame”方法对文本识别获取的内容进行文本翻译final

Task<String>

task

=

translator.asyncTranslate(this.sourceText);

task.addOnSuccessListener(new

OnSuccessListener<String>()

{

@Override

public

void

onSuccess(String

text)

{

if

(text

!=

null)

{

RemoteTranslateActivity.this.remoteDisplaySuccess(text);

}

else

{

RemoteTranslateActivity.this.displayFailure();

}

}

}).addOnFailureListener(new

OnFailureListener()

{

@Override

public

void

onFailure(Exception

e)

{

RemoteTranslateActivity.this.displayFailure();

}

});2.7翻译完成释放资源if

(this.textAnalyzer

!=

null)

{

try

{

this.textAnalyzer.close();

}

catch

(