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[JAVA API][ARM CPU] Add COCO Android ARM demo (update old version) (#924)
* init copy android demo * init copy android demo * update docs * remove redudant files * update docs 2 * remove dirs * update docs 3 * remove docs * update docs * update build.gradle * update AndroidManifest * update * add new files * final fixes * radd spaces * Delete modules/android_demos/coco_detection_android_demo/gradle directory * update docs * fix property * fix docs 3 * finish * finish * Update README.md * Update README.md * Update modules/android_demos/coco_detection_android_demo/README.md Co-authored-by: Anna Likholat <aniali201398@gmail.com> --------- Co-authored-by: Anna Likholat <aniali201398@gmail.com>
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‎modules/android_demos/coco_detection_android_demo/README.md

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# Coco Detection Android Demo
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![Running result](https://user-images.githubusercontent.com/47499836/189129594-2634e176-5a5b-4051-b713-ae9574a8c3da.png)
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This demo showcases inference of Object Detection network on Android ARM devices using [OpenVINO Java API](https://github.com/openvinotoolkit/openvino_contrib/tree/7239f8201bf18d953298966afd9161cff50b2d38/modules/java_api).
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For inference is used `ssd_mobilenet_v2_coco` object detection model.
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## How to run it
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### Build the OpenVINO libraries for Android
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To build the OpenVINO library for an Android system, please follow these step-by-step [instruction](https://github.com/openvinotoolkit/openvino/blob/master/docs/dev/build_android.md) in full.
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After successful completion, you can move on to the next step.
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### Re-build the OpenVINO libraries for Java API
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_Please save the state of the environment variables_
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For more information, please refer to [these instructions](../../java_api/README.md)
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```sh
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# Clone OpenVINO™ contrib repository
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git clone --recursive https://github.com/openvinotoolkit/openvino_contrib $OPV_HOME_DIR/openvino_contrib
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# Re-configure, created in the previous step, the OpenVINO™ CMake project for Java API
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cmake -S $OPV_HOME_DIR/openvino \
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-B $OPV_HOME_DIR/openvino-build \
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-DCMAKE_INSTALL_PREFIX=$OPV_HOME_DIR/openvino-install \
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-DBUILD_java_api=ON \
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-DOPENVINO_EXTRA_MODULES=$OPV_HOME_DIR/openvino_contrib/modules/java_api
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# Re-build OpenVINO™ project
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cmake --build $OPV_HOME_DIR/openvino-build --parallel
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# Re-install OpenVINO™ project
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cmake --install $OPV_HOME_DIR/openvino-build
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```
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### Build the OpenVINO JAVA library for Android
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For more information, please refer to [these instructions](../../java_api/README.md)
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```sh
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gradle build --project-dir $OPV_HOME_DIR/openvino_contrib/modules/java_api
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```
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### Preparing a demo to run it
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```sh
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export ANDROID_DEMO_PATH=$OPV_HOME_DIR/openvino_contrib/modules/android_demos/coco_detection_android_demo
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mkdir -p $ANDROID_DEMO_PATH/app/libs
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cp $OPV_HOME_DIR/openvino_contrib/modules/java_api/build/libs/* $ANDROID_DEMO_PATH/app/libs/
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mkdir -p $ANDROID_DEMO_PATH/app/src/main/jniLibs/arm64-v8a
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cp -r $OPV_HOME_DIR/openvino-install/runtime/lib/aarch64/* $ANDROID_DEMO_PATH/app/src/main/jniLibs/arm64-v8a/
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cp -r $OPV_HOME_DIR/one-tbb-install/lib/* $ANDROID_DEMO_PATH/app/src/main/jniLibs/arm64-v8a/
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cp -r $ANDROID_NDK_PATH/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android/libc++_shared.so $ANDROID_DEMO_PATH/app/src/main/jniLibs/arm64-v8a/
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wget https://github.com/opencv/opencv/releases/download/4.10.0/opencv-4.10.0-android-sdk.zip --directory-prefix $OPV_HOME_DIR
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unzip $OPV_HOME_DIR/opencv-4.10.0-android-sdk.zip -d $OPV_HOME_DIR
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cp -r $OPV_HOME_DIR/OpenCV-android-sdk/sdk $ANDROID_DEMO_PATH/OpenCV
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```
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Please rename jar library that project works correct , e.g.
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```sh
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# Release version can be changed
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mv $ANDROID_DEMO_PATH/app/libs/openvino-2024.2-linux-x86_64.jar $ANDROID_DEMO_PATH/app/libs/openvino-java-api.jar
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```
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### Download and convert model
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To get a `ssd_mobilenet_v2_coco` model for this demo you should use the Open Model Zoo tools in [these instructions](https://docs.openvino.ai/2024/omz_tools_downloader.html).
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### Import demo project on Android Studio
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- Choose and download [Android Studio](https://developer.android.com/studio) on your PC.
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- Select "File -> Open", and import demo project in `$OPV_HOME_DIR/openvino_contrib/modules/android_demos/coco_detection_android_demo`.
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- Build and run demo
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> The first time when you run the demo application on your device, your need to grant camera permission. Then run it again.
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> To build the project correctly, you should write in OpenCV `build.gradle` file `kotlinOptions` parameter same as current project's `build.gradle` file
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### Application Output
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The demonstration is expected to include real-time inferencing from the camera stream. This means that the system will continuously analyze and process video data from the camera in real-time, providing immediate insights and responses based on the live feed.

‎modules/android_demos/coco_detection_android_demo/app/build.gradle

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plugins {
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alias(libs.plugins.android.application)
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alias(libs.plugins.jetbrains.kotlin.android)
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}
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android {
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namespace 'org.intel.openvino'
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compileSdk 34
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defaultConfig {
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applicationId "org.intel.openvino"
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minSdk 30
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targetSdk 34
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versionCode 1
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versionName "1.0"
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testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
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vectorDrawables {
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useSupportLibrary true
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}
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ndk { abiFilters "arm64-v8a" }
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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-optimize.txt'), 'proguard-rules.pro'
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}
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}
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compileOptions {
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sourceCompatibility JavaVersion.VERSION_1_8
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targetCompatibility JavaVersion.VERSION_1_8
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}
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kotlinOptions {
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jvmTarget = '1.8'
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}
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buildFeatures {
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compose true
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}
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composeOptions {
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kotlinCompilerExtensionVersion '1.5.1'
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}
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packaging {
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resources {
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excludes += '/META-INF/{AL2.0,LGPL2.1}'
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}
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}
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}
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dependencies {
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implementation libs.androidx.core.ktx
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implementation libs.androidx.lifecycle.runtime.ktx
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implementation libs.androidx.activity.compose
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implementation platform(libs.androidx.compose.bom)
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implementation libs.androidx.ui
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implementation libs.androidx.ui.graphics
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implementation libs.androidx.ui.tooling.preview
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implementation libs.androidx.material3
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implementation libs.androidx.constraintlayout
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implementation 'com.google.android.material:material:1.5.0'
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testImplementation libs.junit
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androidTestImplementation libs.androidx.junit
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androidTestImplementation libs.androidx.espresso.core
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androidTestImplementation platform(libs.androidx.compose.bom)
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androidTestImplementation libs.androidx.ui.test.junit4
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debugImplementation libs.androidx.ui.tooling
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debugImplementation libs.androidx.ui.test.manifest
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implementation project(':OpenCV')
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implementation files('libs/openvino-java-api.jar')
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}

‎modules/android_demos/coco_detection_android_demo/app/src/main/AndroidManifest.xml

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<?xml version="1.0" encoding="utf-8"?>
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<manifest xmlns:android="http://schemas.android.com/apk/res/android"
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package="org.intel.openvino">
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<uses-feature
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android:name="android.hardware.camera"
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android:required="false" />
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<uses-permission android:name="android.permission.CAMERA"/>
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<!-- Grant the permission to external libraries -->
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<application
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android:allowBackup="true"
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android:label="@string/app_name"
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android:supportsRtl="true"
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android:extractNativeLibs="true"
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android:theme="@style/Theme.CocoDetectionAndroidDemo">
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<activity
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android:name=".MainActivity"
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android:exported="true"
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android:screenOrientation="landscape">
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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>

‎modules/android_demos/coco_detection_android_demo/app/src/main/assets/labels.txt

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background
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person
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bicycle
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car
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motorcycle
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airplane
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bus
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train
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truck
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boat
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traffic light
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fire hydrant
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street sign
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stop sign
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parking meter
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bench
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bird
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cat
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dog
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horse
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sheep
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cow
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elephant
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bear
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zebra
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giraffe
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hat
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backpack
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umbrella
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shoe
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eye glasses
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handbag
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tie
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suitcase
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frisbee
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skis
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snowboard
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sports ball
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kite
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baseball bat
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baseball glove
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skateboard
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surfboard
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tennis racket
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bottle
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plate
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wine glass
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cup
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fork
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knife
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spoon
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bowl
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banana
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apple
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sandwich
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orange
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broccoli
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carrot
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hot dog
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pizza
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donut
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cake
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chair
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couch
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potted plant
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bed
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mirror
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dining table
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window
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desk
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toilet
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door
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tv
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laptop
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mouse
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remote
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keyboard
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cell phone
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microwave
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oven
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toaster
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sink
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refrigerator
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blender
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book
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clock
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vase
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scissors
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teddy bear
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hair drier
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toothbrush
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hair brush

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