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Adding aambav0.01
- [x] updated readme file.added instructions to setup the project. - [x] Adding the base tensorflow example app to build on v0.01 - [x] Updated gradle to latest version - [x] Adding sample APK iunder Data/ReadyToUse-APK folder - [x] run build is successful :) - [x] rebuilt to just be sure 🍕
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‎.gitignore

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# Built application files
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*.apk
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*.ap_
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# Files for the ART/Dalvik VM
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*.dex
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# Java class files
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*.class
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# Generated files
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bin/
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gen/
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out/
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# Gradle files
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.gradle/
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build/
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# Local configuration file (sdk path, etc)
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local.properties
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# Proguard folder generated by Eclipse
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proguard/
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# Log Files
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*.log
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# Android Studio Navigation editor temp files
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.navigation/
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# Android Studio captures folder
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captures/
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# IntelliJ
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*.iml
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.idea/workspace.xml
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.idea/tasks.xml
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.idea/gradle.xml
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.idea/assetWizardSettings.xml
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.idea/dictionaries
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.idea/libraries
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.idea/caches
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# Keystore files
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# Uncomment the following line if you do not want to check your keystore files in.
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#*.jks
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# External native build folder generated in Android Studio 2.2 and later
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.gradle
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/local.properties
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/.idea/libraries
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/.idea/modules.xml
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/.idea/workspace.xml
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.DS_Store
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/build
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/captures
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.externalNativeBuild
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# Google Services (e.g. APIs or Firebase)
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google-services.json
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# Freeline
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freeline.py
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freeline/
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freeline_project_description.json
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# fastlane
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fastlane/report.xml
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fastlane/Preview.html
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fastlane/screenshots
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fastlane/test_output
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fastlane/readme.md
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/.gradle/
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/.idea/

‎Data/ReadyToUse-APK/aambav0.01.apk

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‎Data/ReadyToUse-APK/output.json

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[{"outputType":{"type":"APK"},"apkInfo":{"type":"MAIN","splits":[],"versionCode":1,"versionName":"1.0","enabled":true,"outputFile":"app-debug.apk","fullName":"debug","baseName":"debug"},"path":"app-debug.apk","properties":{}}]

‎README.md

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# The Aamba Project
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An Object Detection Android App for visually challenged people.
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The app uses Tensorflow lite as backend. The machine learning model used is
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is MobileNet SSD trained on the famous COCO dataset. You do not have to do anything to download these pretrained models
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, the gradle script handles it for you.
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---
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# How to build it yourself
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* Clone this repository to your local device.
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* Make sure you have latest Android Studio.
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* Open Android Studio, and from the Welcome screen, select Open an existing Android Studio project. Select this cloned folder.
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* Let the Android studio download it's gradle if it is your first time running the app in Studio.
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* (if error occurs then rebuild using build>rebuild)
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* Make sure your android device is connected.
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# Model used
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http://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip
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# Docs
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Coming soon. :)

‎aamba.apk renamed to ‎app.apk

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‎app/.gitignore

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/build
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/build/

‎app/build.gradle

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apply plugin: 'com.android.application'
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apply plugin: 'de.undercouch.download'
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android {
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compileSdkVersion 28
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buildToolsVersion '28.0.3'
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defaultConfig {
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applicationId "org.tensorflow.lite.examples.detection"
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minSdkVersion 21
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targetSdkVersion 21
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versionCode 1
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versionName "1.0"
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}
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buildTypes {
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release {
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minifyEnabled false
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proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
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}
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}
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aaptOptions {
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noCompress "tflite"
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}
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compileOptions {
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sourceCompatibility = '1.8'
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targetCompatibility = '1.8'
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}
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}
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// import DownloadModels task
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project.ext.ASSET_DIR = projectDir.toString() + '/src/main/assets'
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project.ext.TMP_DIR = project.buildDir.toString() + '/downloads'
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// Download default models; if you wish to use your own models then
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// place them in the "assets" directory and comment out this line.
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//apply from: "download_model.gradle"
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apply from:'download_model.gradle'
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dependencies {
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implementation fileTree(dir: 'libs', include: ['*.jar','*.aar'])
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implementation 'androidx.appcompat:appcompat:1.0.0'
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implementation 'androidx.coordinatorlayout:coordinatorlayout:1.0.0'
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implementation 'com.google.android.material:material:1.0.0'
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implementation 'org.tensorflow:tensorflow-lite:0.0.0-nightly'
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}

‎app/download_model.gradle

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task downloadZipFile(type: Download) {
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src 'http://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip'
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dest new File(buildDir, 'zips/')
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overwrite true
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}
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task downloadAndUnzipFile(dependsOn: downloadZipFile, type: Copy) {
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from zipTree(downloadZipFile.dest)
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into project.ext.ASSET_DIR
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}
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task extractModels(type: Copy) {
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dependsOn downloadAndUnzipFile
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}
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tasks.whenTaskAdded { task ->
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if (task.name == 'assembleDebug') {
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task.dependsOn 'extractModels'
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}
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if (task.name == 'assembleRelease') {
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task.dependsOn 'extractModels'
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}
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}

‎app/proguard-rules.pro

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# Add project specific ProGuard rules here.
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# You can control the set of applied configuration files using the
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# proguardFiles setting in build.gradle.
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#
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# For more details, see
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# http://developer.android.com/guide/developing/tools/proguard.html
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# If your project uses WebView with JS, uncomment the following
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# and specify the fully qualified class name to the JavaScript interface
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# class:
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#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
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# public *;
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#}
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# Uncomment this to preserve the line number information for
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# debugging stack traces.
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#-keepattributes SourceFile,LineNumberTable
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# If you keep the line number information, uncomment this to
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# hide the original source file name.
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#-renamesourcefileattribute SourceFile

‎app/src/main/AndroidManifest.xml

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<manifest xmlns:android="http://schemas.android.com/apk/res/android"
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package="org.tensorflow.lite.examples.detection">
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<uses-sdk />
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<uses-permission android:name="android.permission.CAMERA" />
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<uses-feature android:name="android.hardware.camera" />
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<uses-feature android:name="android.hardware.camera.autofocus" />
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<application
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android:allowBackup="false"
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android:icon="@drawable/ic_launcher"
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android:label="@string/app_name"
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android:roundIcon="@drawable/ic_launcher"
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android:supportsRtl="true"
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android:theme="@style/AppTheme">
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<activity
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android:name=".DetectorActivity"
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android:label="@string/activity_name_detection"
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android:screenOrientation="portrait">
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<intent-filter>
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<action android:name="android.intent.action.MAIN" />
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<category android:name="android.intent.category.LAUNCHER" />
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</intent-filter>
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</activity>
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</application>
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</manifest>

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