car classification init

model_zoo/official/lite/car_classification/.gitignore

@@ -0,0 +1,83 @@
+# MindSpore
+build/
+mindspore/lib
+app/src/main/assets/model/
+app/src/main/cpp/mindspore-lite-*
+output
+*.ir
+mindspore/ccsrc/schema/inner/*
+
+# Cmake files
+CMakeFiles/
+cmake_install.cmake
+CMakeCache.txt
+Makefile
+cmake-build-debug
+
+# Dynamic libraries
+*.so
+*.so.*
+*.dylib
+
+# Static libraries
+*.la
+*.lai
+*.a
+*.lib
+
+# Protocol buffers
+*_pb2.py
+*.pb.h
+*.pb.cc
+
+# Object files
+*.o
+
+# Editor
+.vscode
+.idea/
+
+# Cquery
+.cquery_cached_index/
+compile_commands.json
+
+# Ctags and cscope
+tags
+TAGS
+CTAGS
+GTAGS
+GRTAGS
+GSYMS
+GPATH
+cscope.*
+
+# Python files
+*__pycache__*
+.pytest_cache
+
+# Mac files
+*.DS_Store
+
+# Test results
+test_temp_summary_event_file/
+*.dot
+*.dat
+*.svg
+*.perf
+*.info
+*.ckpt
+*.shp
+*.pkl
+.clangd
+mindspore/version.py
+mindspore/default_config.py
+mindspore/.commit_id
+onnx.proto
+mindspore/ccsrc/onnx.proto
+
+# Android
+local.properties
+.gradle
+sdk/build
+sdk/.cxx
+app/.cxx

model_zoo/official/lite/car_classification/app/.gitignore

@@ -0,0 +1,6 @@
+/build
+!/libs/
+!/src/main/assets/model/
+!/src/main/cpp/mindspore-lite-1.0.1-runtime-arm64-cpu/
+
+/src/main/cpp/mindspore-lite-1.0.1-runtime-arm64-cpu/

model_zoo/official/lite/car_classification/app/CMakeLists.txt

@@ -0,0 +1,86 @@
+# For more information about using CMake with Android Studio, read the
+# documentation: https://d.android.com/studio/projects/add-native-code.html
+
+# Sets the minimum version of CMake required to build the native library.
+
+cmake_minimum_required(VERSION 3.4.1)
+
+set(CMAKE_VERBOSE_MAKEFILE on)
+set(CMAKE_LIBRARY_OUTPUT_DIRECTORY  ${CMAKE_SOURCE_DIR}/libs/${ANDROID_ABI})
+
+set(MINDSPORELITE_VERSION  mindspore-lite-1.0.1-runtime-arm64-cpu)
+
+# ============== Set MindSpore Dependencies. =============
+include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp)
+include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/third_party/flatbuffers/include)
+include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION})
+include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/include)
+include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/include/ir/dtype)
+include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/include/schema)
+include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/minddata/include)
+
+add_library(mindspore-lite SHARED IMPORTED )
+add_library(minddata-lite SHARED IMPORTED )
+add_library(libmindspore-lite-fp16 SHARED IMPORTED )
+
+set_target_properties(mindspore-lite PROPERTIES IMPORTED_LOCATION
+        ${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/lib/libmindspore-lite.so)
+set_target_properties(minddata-lite PROPERTIES IMPORTED_LOCATION
+        ${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/minddata/lib/libminddata-lite.so)
+set_target_properties(libmindspore-lite-fp16 PROPERTIES IMPORTED_LOCATION
+        ${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/lib/libmindspore-lite-fp16.so)
+# --------------- MindSpore Lite set End. --------------------
+
+
+# Creates and names a library, sets it as either STATIC
+# or SHARED, and provides the relative paths to its source code.
+# You can define multiple libraries, and CMake builds them for you.
+# Gradle automatically packages shared libraries with your APK.
+
+file(GLOB_RECURSE cpp_src "src/main/cpp/*.cpp"  "src/main/cpp/*.h")
+
+add_library( # Sets the name of the library.
+        mlkit-label-MS
+
+        # Sets the library as a shared library.
+        SHARED
+
+        # Provides a relative path to your source file(s).
+        ${cpp_src})
+
+
+# Searches for a specified prebuilt library and stores the path as a
+# variable. Because CMake includes system libraries in the search path by
+# default, you only need to specify the name of the public NDK library
+# you want to add. CMake verifies that the library exists before
+# completing its build.
+
+find_library( # Sets the name of the path variable.
+        log-lib
+
+        # Specifies the name of the NDK library that
+        # you want CMake to locate.
+        log )
+
+
+find_library( jnigraphics-lib jnig·raphics )
+
+# Specifies libraries CMake should link to your target library. You
+# can link multiple libraries, such as libraries you define in this
+# build script, prebuilt third-party libraries, or system libraries.
+add_definitions(-DMNN_USE_LOGCAT)
+target_link_libraries( # Specifies the target library.
+        mlkit-label-MS
+
+        # --- mindspore ---
+        minddata-lite
+        mindspore-lite
+        libmindspore-lite-fp16
+
+        # --- other dependencies.---
+        -ljnigraphics
+        android
+
+        # Links the target library to the log library
+        ${log-lib}
+        )

model_zoo/official/lite/car_classification/app/build.gradle

@@ -0,0 +1,78 @@
+apply plugin: 'com.android.application'
+
+android {
+    compileSdkVersion 30
+    buildToolsVersion "30.0.1"
+
+    defaultConfig {
+        applicationId "com.mindspore.classificationforcar"
+        minSdkVersion 21
+        targetSdkVersion 30
+        versionCode 1
+        versionName "1.0"
+
+        testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
+        externalNativeBuild {
+            cmake {
+                arguments "-DANDROID_STL=c++_shared"
+                cppFlags "-std=c++17"
+            }
+        }
+        ndk {
+            abiFilters 'arm64-v8a'
+        }
+    }
+    aaptOptions {
+        noCompress '.so', 'ms'
+    }
+
+    buildTypes {
+        release {
+            minifyEnabled false
+            proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
+        }
+    }
+    externalNativeBuild {
+        cmake {
+            path file('CMakeLists.txt')
+        }
+    }
+    ndkVersion '21.3.6528147'
+
+    sourceSets {
+        main {
+            jniLibs.srcDirs = ['libs']
+        }
+    }
+    packagingOptions {
+        pickFirst 'lib/arm64-v8a/libmlkit-label-MS.so'
+    }
+    compileOptions {
+        sourceCompatibility JavaVersion.VERSION_1_8
+        targetCompatibility JavaVersion.VERSION_1_8
+    }
+
+}
+
+
+// Before gradle build.
+// To download some necessary libraries.
+apply from: 'download.gradle'
+
+
+dependencies {
+    implementation fileTree(dir: "libs", include: ["*.jar"])
+    implementation 'androidx.appcompat:appcompat:1.3.0-alpha02'
+    implementation 'androidx.constraintlayout:constraintlayout:1.1.3'
+//    implementation project(path: ':sdk')
+
+    testImplementation 'junit:junit:4.12'
+    androidTestImplementation 'androidx.test.ext:junit:1.1.1'
+    androidTestImplementation 'androidx.test.espresso:espresso-core:3.2.0'
+
+    implementation 'com.google.android.material:material:1.0.0'
+    androidTestImplementation 'com.android.support.test:rules:1.0.2'
+    androidTestImplementation 'com.google.truth:truth:1.0.1'
+    implementation 'com.github.bumptech.glide:glide:4.11.0'
+    annotationProcessor 'com.github.bumptech.glide:compiler:4.11.0'
+}

model_zoo/official/lite/car_classification/app/download.gradle

@@ -0,0 +1,82 @@
+/**
+ * To download necessary library from HuaWei server.
+ * Including mindspore-lite .so file, minddata-lite .so file and model file.
+ * The libraries can be downloaded manually.
+ */
+def targetMindSporeInclude = "src/main/cpp/"
+def mindsporeLite_Version = "mindspore-lite-1.0.1-runtime-arm64-cpu"
+
+def targetModelFile = "src/main/assets/model/mobilenetv2.ms"
+def mindSporeLibrary_arm64 = "src/main/cpp/${mindsporeLite_Version}.tar.gz"
+
+def modelDownloadUrl = "https://download.mindspore.cn/model_zoo/official/lite/mobilenetv2_openimage_lite/mobilenetv2.ms"
+def mindsporeLiteDownloadUrl = "https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.0.1/lite/android_aarch64/${mindsporeLite_Version}.tar.gz"
+
+def cleantargetMindSporeInclude = "src/main/cpp"
+
+task cleanCmakeCache(type: Delete) {
+    delete '.cxx/cmake/debug'
+    delete '.cxx/cmake/release'
+}
+
+task downloadModelFile(type: DownloadUrlTask) {
+    doFirst {
+        println "Downloading ${modelDownloadUrl}"
+    }
+    sourceUrl = "${modelDownloadUrl}"
+    target = file("${targetModelFile}")
+}
+
+task downloadMindSporeLibrary(type: DownloadUrlTask) {
+    doFirst {
+        println "Downloading ${mindsporeLiteDownloadUrl}"
+    }
+    sourceUrl = "${mindsporeLiteDownloadUrl}"
+    target = file("${mindSporeLibrary_arm64}")
+}
+
+task unzipMindSporeInclude(type: Copy, dependsOn: 'downloadMindSporeLibrary') {
+    doFirst {
+        println "Unzipping ${mindSporeLibrary_arm64}"
+    }
+    from tarTree(resources.gzip("${mindSporeLibrary_arm64}"))
+    into "${targetMindSporeInclude}"
+}
+
+task cleanUnusedmindsporeFiles(type: Delete, dependsOn: ['unzipMindSporeInclude']) {
+    delete fileTree("${cleantargetMindSporeInclude}").matching {
+        include "*.tar.gz"
+    }
+}
+/*
+ * Using preBuild to download mindspore library and model file.
+ * Run before gradle build.
+ */
+if (file("src/main/cpp/${mindsporeLite_Version}/lib/libmindspore-lite.so").exists()){
+    downloadMindSporeLibrary.enabled = false
+    unzipMindSporeInclude.enabled = false
+    cleanUnusedmindsporeFiles.enabled = false
+}
+
+if (file("src/main/assets/model/mobilenetv2.ms").exists()){
+    downloadModelFile.enabled = false
+}
+
+preBuild.dependsOn cleanCmakeCache
+preBuild.dependsOn downloadModelFile
+preBuild.dependsOn downloadMindSporeLibrary
+preBuild.dependsOn unzipMindSporeInclude
+preBuild.dependsOn cleanUnusedmindsporeFiles
+
+class DownloadUrlTask extends DefaultTask {
+    @Input
+    String sourceUrl
+
+    @OutputFile
+    File target
+
+    @TaskAction
+    void download() {
+        ant.get(src: sourceUrl, dest: target)
+    }
+}

model_zoo/official/lite/car_classification/app/proguard-rules.pro

@@ -0,0 +1,21 @@
+# Add project specific ProGuard rules here.
+# You can control the set of applied configuration files using the
+# proguardFiles setting in build.gradle.
+#
+# For more details, see
+#   http://developer.android.com/guide/developing/tools/proguard.html
+
+# If your project uses WebView with JS, uncomment the following
+# and specify the fully qualified class name to the JavaScript interface
+# class:
+#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
+#   public *;
+#}
+
+# Uncomment this to preserve the line number information for
+# debugging stack traces.
+#-keepattributes SourceFile,LineNumberTable
+
+# If you keep the line number information, uncomment this to
+# hide the original source file name.
+#-renamesourcefileattribute SourceFile

model_zoo/official/lite/car_classification/app/src/androidTest/java/com/mindspore/classificationforcar/ExampleInstrumentedTest.java

@@ -0,0 +1,42 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.mindspore.classificationforcar;
+
+import android.content.Context;
+
+import androidx.test.platform.app.InstrumentationRegistry;
+import androidx.test.ext.junit.runners.AndroidJUnit4;
+
+import org.junit.Test;
+import org.junit.runner.RunWith;
+
+import static org.junit.Assert.*;
+
+/**
+ * Instrumented test, which will execute on an Android device.
+ *
+ * @see <a href="http://d.android.com/tools/testing">Testing documentation</a>
+ */
+@RunWith(AndroidJUnit4.class)
+public class ExampleInstrumentedTest {
+    @Test
+    public void useAppContext() {
+        // Context of the app under test.
+        Context appContext = InstrumentationRegistry.getInstrumentation().getTargetContext();
+        assertEquals("com.mindspore.classification", appContext.getPackageName());
+    }
+}

model_zoo/official/lite/car_classification/app/src/main/AndroidManifest.xml

@@ -0,0 +1,50 @@
+<?xml version="1.0" encoding="utf-8"?>
+<manifest xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:tools="http://schemas.android.com/tools"
+    package="com.mindspore.classificationforcar"
+    android:versionCode="1"
+    android:versionName="1.0">
+
+    <uses-permission android:name="android.permission.CAMERA" />
+    <uses-permission android:name="android.permission.WRITE_INTERNAL_STORAGE" />
+    <uses-permission android:name="android.permission.READ_INTERNAL_STORAGE" />
+    <uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" />
+    <uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />
+    <uses-permission android:name="android.permission.MOUNT_UNMOUNT_FILESYSTEM" />
+    <uses-permission android:name="android.permission.READ_PHONE_STATE" />
+
+    <application
+        android:allowBackup="true"
+        android:icon="@mipmap/ic_launcher"
+        android:label="@string/app_name"
+        android:requestLegacyExternalStorage="true"
+        android:roundIcon="@mipmap/ic_launcher_round"
+        android:supportsRtl="true"
+        android:theme="@style/AppTheme">
+        <activity android:name="com.mindspore.classificationforcar.widget.MainActivity"
+            android:screenOrientation="portrait"
+            >
+            <intent-filter>
+                <action android:name="android.intent.action.MAIN" />
+                <category android:name="android.intent.category.LAUNCHER" />
+            </intent-filter>
+        </activity>
+        <activity
+            android:name="com.mindspore.classificationforcar.widget.CameraActivity"
+            android:screenOrientation="portrait">
+        </activity>
+
+        <provider
+            android:name="androidx.core.content.FileProvider"
+            android:authorities="com.mindspore.classificationforcar.fileprovider"
+            android:exported="false"
+            tools:replace="android:authorities"
+            android:grantUriPermissions="true">
+            <meta-data
+                tools:replace="android:resource"
+                android:name="android.support.FILE_PROVIDER_PATHS"
+                android:resource="@xml/file_paths" />
+        </provider>
+    </application>
+
+</manifest>

model_zoo/official/lite/car_classification/app/src/main/cpp/ImageMindSporeNetnative.cpp

@@ -0,0 +1,812 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include <jni.h>
+#include <android/bitmap.h>
+#include <android/asset_manager_jni.h>
+#include <android/log.h>
+#include <utility>
+#include <cstring>
+#include <vector>
+#include <string>
+#include <unordered_map>
+#include <set>
+#include "include/errorcode.h"
+#include "include/ms_tensor.h"
+#include "ImageMindSporeNetnative.h"
+#include "MSNetWork.h"
+#include "lite_cv/lite_mat.h"
+#include "lite_cv/image_process.h"
+#include "mindspore-lite-1.0.1-runtime-arm64-cpu/minddata/include/lite_cv/lite_mat.h"
+
+using mindspore::dataset::LiteMat;
+using mindspore::dataset::LPixelType;
+using mindspore::dataset::LDataType;
+#define MS_PRINT(format, ...) __android_log_print(ANDROID_LOG_INFO, "MSJNI", format, ##__VA_ARGS__)
+
+
+static const int RET_CATEGORY_SUM = 410;
+static const char *labels_name_map[RET_CATEGORY_SUM] = {
+        "Herd",
+        "Safari",
+        "Bangle",
+        "Cushion",
+        "Countertop",
+        "Prom",
+        "Branch",
+        "Sports",
+        "Sky",
+        "Community",
+        "Wheel",
+        "Cola",
+        "Tuxedo",
+        "Flowerpot",
+        "Team",
+        "Computer",
+        "Unicycle",
+        "Brig",
+        "Aerospace engineering",
+        "Scuba diving",
+        "Goggles",
+        "Fruit",
+        "Badminton",
+        "Horse",
+        "Sunglasses",
+        "Fun",
+        "Prairie",
+        "Poster",
+        "Flag",
+        "Speedboat",
+        "Eyelash",
+        "Veil",
+        "Mobile phone",
+        "Wheelbarrow",
+        "Saucer",
+        "Leather",
+        "Drawer",
+        "Paper",
+        "Pier",
+        "Waterfowl",
+        "Tights",
+        "Rickshaw",
+        "Vegetable",
+        "Handrail",
+        "Ice",
+        "Metal",
+        "Flower",
+        "Wing",
+        "Silverware",
+        "Event",
+        "Skyline",
+        "Money",
+        "Comics",
+        "Handbag",
+        "Porcelain",
+        "Rodeo",
+        "Curtain",
+        "Tile",
+        "Human mouth",
+        "Army",
+        "Menu",
+        "Boat",
+        "Snowboarding",
+        "Cairn terrier",
+        "Net",
+        "Pasteles",
+        "Cup",
+        "Rugby",
+        "Pho",
+        "Cap",
+        "Human hair",
+        "Surfing",
+        "Loveseat",
+        "Museum",
+        "Shipwreck",
+        "Trunk (Tree)",
+        "Plush",
+        "Monochrome",
+        "Volcano",
+        "Rock",
+        "Pillow",
+        "Presentation",
+        "Nebula",
+        "Subwoofer",
+        "Lake",
+        "Sledding",
+        "Bangs",
+        "Tablecloth",
+        "Necklace",
+        "Swimwear",
+        "Standing",
+        "Jeans",
+        "Carnival",
+        "Softball",
+        "Centrepiece",
+        "Skateboarder",
+        "Cake",
+        "Dragon",
+        "Aurora",
+        "Skiing",
+        "Bathroom",
+        "Dog",
+        "Needlework",
+        "Umbrella",
+        "Church",
+        "Fire",
+        "Piano",
+        "Denim",
+        "Bridle",
+        "Cabinetry",
+        "Lipstick",
+        "Ring",
+        "Television",
+        "Roller",
+        "Seal",
+        "Concert",
+        "Product",
+        "News",
+        "Fast food",
+        "Horn (Animal)",
+        "Tattoo",
+        "Bird",
+        "Bridegroom",
+        "Love",
+        "Helmet",
+        "Dinosaur",
+        "Icing",
+        "Miniature",
+        "Tire",
+        "Toy",
+        "Icicle",
+        "Jacket",
+        "Coffee",
+        "Mosque",
+        "Rowing",
+        "Wetsuit",
+        "Camping",
+        "Underwater",
+        "Christmas",
+        "Gelato",
+        "Whiteboard",
+        "Field",
+        "Ragdoll",
+        "Construction",
+        "Lampshade",
+        "Palace",
+        "Meal",
+        "Factory",
+        "Cage",
+        "Clipper (Boat)",
+        "Gymnastics",
+        "Turtle",
+        "Human foot",
+        "Marriage",
+        "Web page",
+        "Human beard",
+        "Fog",
+        "Wool",
+        "Cappuccino",
+        "Lighthouse",
+        "Lego",
+        "Sparkler",
+        "Sari",
+        "Model",
+        "Temple",
+        "Beanie",
+        "Building",
+        "Waterfall",
+        "Penguin",
+        "Cave",
+        "Stadium",
+        "Smile",
+        "Human hand",
+        "Park",
+        "Desk",
+        "Shetland sheepdog",
+        "Bar",
+        "Eating",
+        "Neon",
+        "Dalmatian",
+        "Crocodile",
+        "Wakeboarding",
+        "Longboard",
+        "Road",
+        "Race",
+        "Kitchen",
+        "Odometer",
+        "Cliff",
+        "Fiction",
+        "School",
+        "Interaction",
+        "Bullfighting",
+        "Boxer",
+        "Gown",
+        "Aquarium",
+        "Superhero",
+        "Pie",
+        "Asphalt",
+        "Surfboard",
+        "Cheeseburger",
+        "Screenshot",
+        "Supper",
+        "Laugh",
+        "Lunch",
+        "Party ",
+        "Glacier",
+        "Bench",
+        "Grandparent",
+        "Sink",
+        "Pomacentridae",
+        "Blazer",
+        "Brick",
+        "Space",
+        "Backpacking",
+        "Stuffed toy",
+        "Sushi",
+        "Glitter",
+        "Bonfire",
+        "Castle",
+        "Marathon",
+        "Pizza",
+        "Beach",
+        "Human ear",
+        "Racing",
+        "Sitting",
+        "Iceberg",
+        "Shelf",
+        "Vehicle",
+        "Pop music",
+        "Playground",
+        "Clown",
+        "Car",
+        "Rein",
+        "Fur",
+        "Musician",
+        "Casino",
+        "Baby",
+        "Alcohol",
+        "Strap",
+        "Reef",
+        "Balloon",
+        "Outerwear",
+        "Cathedral",
+        "Competition",
+        "Joker",
+        "Blackboard",
+        "Bunk bed",
+        "Bear",
+        "Moon",
+        "Archery",
+        "Polo",
+        "River",
+        "Fishing",
+        "Ferris wheel",
+        "Mortarboard",
+        "Bracelet",
+        "Flesh",
+        "Statue",
+        "Farm",
+        "Desert",
+        "Chain",
+        "Aircraft",
+        "Textile",
+        "Hot dog",
+        "Knitting",
+        "Singer",
+        "Juice",
+        "Circus",
+        "Chair",
+        "Musical instrument",
+        "Room",
+        "Crochet",
+        "Sailboat",
+        "Newspaper",
+        "Santa claus",
+        "Swamp",
+        "Skyscraper",
+        "Skin",
+        "Rocket",
+        "Aviation",
+        "Airliner",
+        "Garden",
+        "Ruins",
+        "Storm",
+        "Glasses",
+        "Balance",
+        "Nail (Body part)",
+        "Rainbow",
+        "Soil ",
+        "Vacation ",
+        "Moustache",
+        "Doily",
+        "Food",
+        "Bride ",
+        "Cattle",
+        "Pocket",
+        "Infrastructure",
+        "Train",
+        "Gerbil",
+        "Fireworks",
+        "Pet",
+        "Dam",
+        "Crew",
+        "Couch",
+        "Bathing",
+        "Quilting",
+        "Motorcycle",
+        "Butterfly",
+        "Sled",
+        "Watercolor paint",
+        "Rafting",
+        "Monument",
+        "Lightning",
+        "Sunset",
+        "Bumper",
+        "Shoe",
+        "Waterskiing",
+        "Sneakers",
+        "Tower",
+        "Insect",
+        "Pool",
+        "Placemat",
+        "Airplane",
+        "Plant",
+        "Jungle",
+        "Armrest",
+        "Duck",
+        "Dress",
+        "Tableware",
+        "Petal",
+        "Bus",
+        "Hanukkah",
+        "Forest",
+        "Hat",
+        "Barn",
+        "Tubing",
+        "Snorkeling",
+        "Cool",
+        "Cookware and bakeware",
+        "Cycling",
+        "Swing (Seat)",
+        "Muscle",
+        "Cat",
+        "Skateboard",
+        "Star",
+        "Toe",
+        "Junk",
+        "Bicycle",
+        "Bedroom",
+        "Person",
+        "Sand",
+        "Canyon",
+        "Tie",
+        "Twig",
+        "Sphynx",
+        "Supervillain",
+        "Nightclub",
+        "Ranch",
+        "Pattern",
+        "Shorts",
+        "Himalayan",
+        "Wall",
+        "Leggings",
+        "Windsurfing",
+        "Deejay",
+        "Dance",
+        "Van",
+        "Bento",
+        "Sleep",
+        "Wine",
+        "Picnic",
+        "Leisure",
+        "Dune",
+        "Crowd",
+        "Kayak",
+        "Ballroom",
+        "Selfie",
+        "Graduation",
+        "Frigate",
+        "Mountain",
+        "Dude",
+        "Windshield",
+        "Skiff",
+        "Class",
+        "Scarf",
+        "Bull",
+        "Soccer",
+        "Bag",
+        "Basset hound",
+        "Tractor",
+        "Swimming",
+        "Running",
+        "Track",
+        "Helicopter",
+        "Pitch",
+        "Clock",
+        "Song",
+        "Jersey",
+        "Stairs",
+        "Flap",
+        "Jewellery",
+        "Bridge",
+        "Cuisine",
+        "Bread",
+        "Caving",
+        "Shell",
+        "Wreath",
+        "Roof",
+        "Cookie",
+        "Canoe"};
+
+static float g_thres_map[RET_CATEGORY_SUM] = {
+        0.23, 0.03, 0.10, 0.13, 0.03,
+        0.10, 0.06, 0.09, 0.09, 0.05,
+        0.01, 0.04, 0.01, 0.27, 0.05,
+        0.16, 0.01, 0.16, 0.04, 0.13,
+        0.09, 0.18, 0.10, 0.65, 0.08,
+        0.04, 0.08, 0.01, 0.05, 0.20,
+        0.01, 0.16, 0.10, 0.10, 0.10,
+        0.02, 0.24, 0.08, 0.10, 0.53,
+        0.07, 0.05, 0.07, 0.27, 0.02,
+        0.01, 0.71, 0.01, 0.06, 0.06,
+        0.03, 0.96, 0.03, 0.94, 0.05,
+        0.03, 0.14, 0.09, 0.03, 0.11,
+        0.50, 0.16, 0.07, 0.07, 0.06,
+        0.07, 0.08, 0.10, 0.29, 0.03,
+        0.05, 0.11, 0.03, 0.03, 0.03,
+        0.01, 0.11, 0.07, 0.03, 0.49,
+        0.12, 0.30, 0.10, 0.15, 0.02,
+        0.06, 0.17, 0.01, 0.04, 0.07,
+        0.06, 0.02, 0.19, 0.20, 0.14,
+        0.35, 0.15, 0.01, 0.10, 0.13,
+        0.43, 0.11, 0.12, 0.32, 0.01,
+        0.22, 0.51, 0.02, 0.04, 0.14,
+        0.04, 0.35, 0.35, 0.01, 0.54,
+        0.04, 0.02, 0.03, 0.02, 0.38,
+        0.13, 0.19, 0.06, 0.01, 0.02,
+        0.06, 0.03, 0.04, 0.01, 0.10,
+        0.01, 0.07, 0.07, 0.07, 0.33,
+        0.08, 0.04, 0.06, 0.07, 0.07,
+        0.11, 0.02, 0.32, 0.48, 0.14,
+        0.01, 0.01, 0.04, 0.05, 0.04,
+        0.16, 0.50, 0.11, 0.03, 0.04,
+        0.02, 0.55, 0.17, 0.13, 0.84,
+        0.18, 0.03, 0.16, 0.02, 0.06,
+        0.03, 0.11, 0.96, 0.36, 0.68,
+        0.02, 0.08, 0.02, 0.01, 0.03,
+        0.05, 0.14, 0.09, 0.06, 0.03,
+        0.20, 0.15, 0.62, 0.03, 0.10,
+        0.08, 0.02, 0.02, 0.06, 0.03,
+        0.04, 0.01, 0.10, 0.05, 0.04,
+        0.02, 0.07, 0.03, 0.32, 0.11,
+        0.03, 0.02, 0.03, 0.01, 0.03,
+        0.03, 0.25, 0.20, 0.19, 0.03,
+        0.11, 0.03, 0.02, 0.03, 0.15,
+        0.14, 0.06, 0.11, 0.03, 0.02,
+        0.02, 0.52, 0.03, 0.02, 0.02,
+        0.02, 0.09, 0.56, 0.01, 0.22,
+        0.01, 0.48, 0.14, 0.10, 0.08,
+        0.73, 0.39, 0.09, 0.10, 0.85,
+        0.31, 0.03, 0.05, 0.01, 0.01,
+        0.01, 0.10, 0.28, 0.02, 0.03,
+        0.04, 0.03, 0.07, 0.14, 0.20,
+        0.10, 0.01, 0.05, 0.37, 0.12,
+        0.04, 0.44, 0.04, 0.26, 0.08,
+        0.07, 0.27, 0.10, 0.03, 0.01,
+        0.03, 0.16, 0.41, 0.16, 0.34,
+        0.04, 0.30, 0.04, 0.05, 0.18,
+        0.33, 0.03, 0.21, 0.03, 0.04,
+        0.22, 0.01, 0.04, 0.02, 0.01,
+        0.06, 0.02, 0.08, 0.87, 0.11,
+        0.15, 0.05, 0.14, 0.09, 0.08,
+        0.22, 0.09, 0.07, 0.06, 0.06,
+        0.05, 0.43, 0.70, 0.03, 0.07,
+        0.06, 0.07, 0.14, 0.04, 0.01,
+        0.03, 0.05, 0.65, 0.06, 0.04,
+        0.23, 0.06, 0.75, 0.10, 0.01,
+        0.63, 0.41, 0.09, 0.01, 0.01,
+        0.18, 0.10, 0.03, 0.01, 0.05,
+        0.13, 0.18, 0.03, 0.23, 0.01,
+        0.04, 0.03, 0.38, 0.90, 0.21,
+        0.18, 0.10, 0.48, 0.08, 0.46,
+        0.03, 0.01, 0.02, 0.03, 0.10,
+        0.01, 0.09, 0.01, 0.01, 0.01,
+        0.10, 0.41, 0.01, 0.06, 0.75,
+        0.08, 0.01, 0.01, 0.08, 0.21,
+        0.06, 0.02, 0.05, 0.02, 0.05,
+        0.09, 0.12, 0.03, 0.06, 0.11,
+        0.03, 0.01, 0.01, 0.06, 0.84,
+        0.04, 0.81, 0.39, 0.02, 0.29,
+        0.77, 0.07, 0.06, 0.22, 0.23,
+        0.23, 0.01, 0.02, 0.13, 0.04,
+        0.19, 0.04, 0.08, 0.27, 0.09,
+        0.06, 0.01, 0.03, 0.21, 0.04,
+};
+
+char *ImageCreateLocalModelBuffer(JNIEnv *env, jobject modelBuffer) {
+    jbyte *modelAddr = static_cast<jbyte *>(env->GetDirectBufferAddress(modelBuffer));
+    int modelLen = static_cast<int>(env->GetDirectBufferCapacity(modelBuffer));
+    char *buffer(new char[modelLen]);
+    memcpy(buffer, modelAddr, modelLen);
+    return buffer;
+}
+
+/**
+ * To process the result of mindspore inference.
+ * @param msOutputs
+ * @return
+ */
+std::string ImageProcessRunnetResult(const int RET_CATEGORY_SUM, const char *const labels_name_map[],
+                                std::unordered_map<std::string, mindspore::tensor::MSTensor *> msOutputs) {
+    // Get the branch of the model output.
+    // Use iterators to get map elements.
+    std::unordered_map<std::string, mindspore::tensor::MSTensor *>::iterator iter;
+    iter = msOutputs.begin();
+
+    // The mobilenetv2.ms model output just one branch.
+    auto outputTensor = iter->second;
+
+    int tensorNum = outputTensor->ElementsNum();
+    MS_PRINT("Number of tensor elements:%d", tensorNum);
+
+    // Get a pointer to the first score.
+    float *temp_scores = static_cast<float *>(outputTensor->MutableData());
+    float scores[RET_CATEGORY_SUM];
+    for (int i = 0; i < RET_CATEGORY_SUM; ++i) {
+        scores[i] = temp_scores[i];
+    }
+
+    const float unifiedThre = 0.5;
+    const float probMax = 1.0;
+    for (size_t i = 0; i < RET_CATEGORY_SUM; ++i) {
+        float threshold = g_thres_map[i];
+        float tmpProb = scores[i];
+        if (tmpProb < threshold) {
+            tmpProb = tmpProb / threshold * unifiedThre;
+        } else {
+            tmpProb = (tmpProb - threshold) / (probMax - threshold) * unifiedThre + unifiedThre;
+        }
+        scores[i] = tmpProb;
+    }
+
+    for (int i = 0; i < RET_CATEGORY_SUM; ++i) {
+        if (scores[i] > 0.5) {
+            MS_PRINT("MindSpore scores[%d] : [%f]", i, scores[i]);
+        }
+    }
+
+    // Score for each category.
+    // Converted to text information that needs to be displayed in the APP.
+    std::string categoryScore = "";
+    for (int i = 0; i < RET_CATEGORY_SUM; ++i) {
+        categoryScore += labels_name_map[i];
+        categoryScore += ":";
+        std::string score_str = std::to_string(scores[i]);
+        categoryScore += score_str;
+        categoryScore += ";";
+    }
+    return categoryScore;
+}
+
+bool ImageBitmapToLiteMat(JNIEnv *env, const jobject &srcBitmap, LiteMat *lite_mat) {
+    bool ret = false;
+    AndroidBitmapInfo info;
+    void *pixels = nullptr;
+    LiteMat &lite_mat_bgr = *lite_mat;
+    AndroidBitmap_getInfo(env, srcBitmap, &info);
+    if (info.format != ANDROID_BITMAP_FORMAT_RGBA_8888) {
+        MS_PRINT("Image Err, Request RGBA");
+        return false;
+    }
+    AndroidBitmap_lockPixels(env, srcBitmap, &pixels);
+    if (info.stride == info.width * 4) {
+        ret = InitFromPixel(reinterpret_cast<const unsigned char *>(pixels),
+                            LPixelType::RGBA2RGB, LDataType::UINT8,
+                            info.width, info.height, lite_mat_bgr);
+        if (!ret) {
+            MS_PRINT("Init From RGBA error");
+        }
+    } else {
+        unsigned char *pixels_ptr = new unsigned char[info.width * info.height * 4];
+        unsigned char *ptr = pixels_ptr;
+        unsigned char *data = reinterpret_cast<unsigned char *>(pixels);
+        for (int i = 0; i < info.height; i++) {
+            memcpy(ptr, data, info.width * 4);
+            ptr += info.width * 4;
+            data += info.stride;
+        }
+        ret = InitFromPixel(reinterpret_cast<const unsigned char *>(pixels_ptr),
+                            LPixelType::RGBA2RGB, LDataType::UINT8,
+                            info.width, info.height, lite_mat_bgr);
+        if (!ret) {
+            MS_PRINT("Init From RGBA error");
+        }
+        delete[] (pixels_ptr);
+    }
+    AndroidBitmap_unlockPixels(env, srcBitmap);
+    return ret;
+}
+
+bool ImagePreProcessImageData(const LiteMat &lite_mat_bgr, LiteMat *lite_norm_mat_ptr) {
+    bool ret = false;
+    LiteMat lite_mat_resize;
+    LiteMat &lite_norm_mat_cut = *lite_norm_mat_ptr;
+    ret = ResizeBilinear(lite_mat_bgr, lite_mat_resize, 256, 256);
+    if (!ret) {
+        MS_PRINT("ResizeBilinear error");
+        return false;
+    }
+    LiteMat lite_mat_convert_float;
+    ret = ConvertTo(lite_mat_resize, lite_mat_convert_float, 1.0 / 255.0);
+    if (!ret) {
+        MS_PRINT("ConvertTo error");
+        return false;
+    }
+    LiteMat lite_mat_cut;
+    ret = Crop(lite_mat_convert_float, lite_mat_cut, 16, 16, 224, 224);
+    if (!ret) {
+        MS_PRINT("Crop error");
+        return false;
+    }
+    std::vector<float> means = {0.485, 0.456, 0.406};
+    std::vector<float> stds = {0.229, 0.224, 0.225};
+    SubStractMeanNormalize(lite_mat_cut, lite_norm_mat_cut, means, stds);
+    return true;
+}
+
+
+/**
+ * The Java layer reads the model into MappedByteBuffer or ByteBuffer to load the model.
+ */
+extern "C"
+JNIEXPORT jlong JNICALL
+Java_com_mindspore_classificationforcar_gallery_classify_ImageTrackingMobile_loadModel(JNIEnv *env,
+                                                                                      jobject thiz,
+                                                                                      jobject model_buffer,
+                                                                                      jint num_thread) {
+    if (nullptr == model_buffer) {
+        MS_PRINT("error, buffer is nullptr!");
+        return (jlong) nullptr;
+    }
+    jlong bufferLen = env->GetDirectBufferCapacity(model_buffer);
+    if (0 == bufferLen) {
+        MS_PRINT("error, bufferLen is 0!");
+        return (jlong) nullptr;
+    }
+
+    char *modelBuffer = ImageCreateLocalModelBuffer(env, model_buffer);
+    if (modelBuffer == nullptr) {
+        MS_PRINT("modelBuffer create failed!");
+        return (jlong) nullptr;
+    }
+
+    // To create a mindspore network inference environment.
+    void **labelEnv = new void *;
+    MSNetWork *labelNet = new MSNetWork;
+    *labelEnv = labelNet;
+
+    mindspore::lite::Context *context = new mindspore::lite::Context;
+    context->thread_num_ = num_thread;
+
+    labelNet->CreateSessionMS(modelBuffer, bufferLen, context);
+    delete context;
+
+    if (labelNet->session() == nullptr) {
+        MS_PRINT("MindSpore create session failed!.");
+        delete labelNet;
+        delete labelEnv;
+        return (jlong) nullptr;
+    }
+
+    if (model_buffer != nullptr) {
+        env->DeleteLocalRef(model_buffer);
+    }
+
+    return (jlong) labelEnv;
+}
+
+/**
+ * After the inference environment is successfully created,
+ * sending a picture to the model and run inference.
+ */
+extern "C" JNIEXPORT jstring JNICALL
+Java_com_mindspore_classificationforcar_gallery_classify_ImageTrackingMobile_runNet(JNIEnv *env,
+                                                                                   jclass type,
+                                                                                   jlong netEnv,
+                                                                                   jobject srcBitmap) {
+    LiteMat lite_mat_bgr, lite_norm_mat_cut;
+
+    if (!ImageBitmapToLiteMat(env, srcBitmap, &lite_mat_bgr)) {
+        MS_PRINT("ImageBitmapToLiteMat error");
+        return NULL;
+    }
+    if (!ImagePreProcessImageData(lite_mat_bgr, &lite_norm_mat_cut)) {
+        MS_PRINT("ImagePreProcessImageData error");
+        return NULL;
+    }
+
+    ImgDims inputDims;
+    inputDims.channel = lite_norm_mat_cut.channel_;
+    inputDims.width = lite_norm_mat_cut.width_;
+    inputDims.height = lite_norm_mat_cut.height_;
+
+    // Get the mindsore inference environment which created in loadModel().
+    void **labelEnv = reinterpret_cast<void **>(netEnv);
+    if (labelEnv == nullptr) {
+        MS_PRINT("MindSpore error, labelEnv is a nullptr.");
+        return NULL;
+    }
+    MSNetWork *labelNet = static_cast<MSNetWork *>(*labelEnv);
+
+    auto mSession = labelNet->session();
+    if (mSession == nullptr) {
+        MS_PRINT("MindSpore error, Session is a nullptr.");
+        return NULL;
+    }
+    MS_PRINT("MindSpore get session.");
+
+    auto msInputs = mSession->GetInputs();
+    if (msInputs.size() == 0) {
+        MS_PRINT("MindSpore error, msInputs.size() equals 0.");
+        return NULL;
+    }
+    auto inTensor = msInputs.front();
+
+    float *dataHWC = reinterpret_cast<float *>(lite_norm_mat_cut.data_ptr_);
+    // Copy dataHWC to the model input tensor.
+    memcpy(inTensor->MutableData(), dataHWC,
+           inputDims.channel * inputDims.width * inputDims.height * sizeof(float));
+
+    // After the model and image tensor data is loaded, run inference.
+    auto status = mSession->RunGraph();
+
+    if (status != mindspore::lite::RET_OK) {
+        MS_PRINT("MindSpore run net error.");
+        return NULL;
+    }
+
+    /**
+     * Get the mindspore inference results.
+     * Return the map of output node name and MindSpore Lite MSTensor.
+     */
+    auto names = mSession->GetOutputTensorNames();
+    std::unordered_map<std::string, mindspore::tensor::MSTensor *> msOutputs;
+    for (const auto &name : names) {
+        auto temp_dat = mSession->GetOutputByTensorName(name);
+        msOutputs.insert(std::pair<std::string, mindspore::tensor::MSTensor *>{name, temp_dat});
+    }
+
+    std::string resultStr = ImageProcessRunnetResult(::RET_CATEGORY_SUM,
+                                                ::labels_name_map, msOutputs);
+
+    const char *resultCharData = resultStr.c_str();
+    return (env)->NewStringUTF(resultCharData);
+}
+
+extern "C" JNIEXPORT jboolean JNICALL
+Java_com_mindspore_classificationforcar_gallery_classify_ImageTrackingMobile_unloadModel(JNIEnv *env,
+                                                                                        jclass type,
+                                                                                        jlong netEnv) {
+    MS_PRINT("MindSpore release net.");
+    void **labelEnv = reinterpret_cast<void **>(netEnv);
+    if (labelEnv == nullptr) {
+        MS_PRINT("MindSpore error, labelEnv is a nullptr.");
+    }
+    MSNetWork *labelNet = static_cast<MSNetWork *>(*labelEnv);
+
+    labelNet->ReleaseNets();
+
+    return (jboolean) true;
+}

model_zoo/official/lite/car_classification/app/src/main/cpp/ImageMindSporeNetnative.h

@@ -0,0 +1,21 @@
+/**
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef IMAGE_MINDSPORE_JNI_HMS_DEBUG_MINDSPORENETNATIVE_H
+#define IMAGE_MINDSPORE_JNI_HMS_DEBUG_MINDSPORENETNATIVE_H
+
+
+#endif  // MINDSPORE_JNI_HMS_DEBUG_MINDSPORENETNATIVE_H

model_zoo/official/lite/car_classification/app/src/main/cpp/MSNetWork.cpp

@@ -0,0 +1,62 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "MSNetWork.h"
+#include <android/log.h>
+#include <iostream>
+#include <string>
+#include "include/errorcode.h"
+
+#define MS_PRINT(format, ...) __android_log_print(ANDROID_LOG_INFO, "MSJNI", format, ##__VA_ARGS__)
+
+MSNetWork::MSNetWork(void) : session_(nullptr), model_(nullptr) {}
+
+MSNetWork::~MSNetWork(void) {}
+
+void MSNetWork::CreateSessionMS(char *modelBuffer, size_t bufferLen, mindspore::lite::Context *ctx) {
+  session_ = mindspore::session::LiteSession::CreateSession(ctx);
+  if (session_ == nullptr) {
+    MS_PRINT("Create Session failed.");
+    return;
+  }
+
+  // Compile model.
+  model_ = mindspore::lite::Model::Import(modelBuffer, bufferLen);
+  if (model_ == nullptr) {
+    ReleaseNets();
+    MS_PRINT("Import model failed.");
+    return;
+  }
+
+  int ret = session_->CompileGraph(model_);
+  if (ret != mindspore::lite::RET_OK) {
+    ReleaseNets();
+    MS_PRINT("CompileGraph failed.");
+    return;
+  }
+}
+
+void MSNetWork::ReleaseNets(void) {
+  if (model_ != nullptr) {
+    model_->Free();
+    delete model_;
+    model_ = nullptr;
+  }
+  if (session_ != nullptr) {
+    delete session_;
+    session_ = nullptr;
+  }
+}

model_zoo/official/lite/car_classification/app/src/main/cpp/MSNetWork.h

@@ -0,0 +1,60 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef MSNETWORK_H
+#define MSNETWORK_H
+
+#include <context.h>
+#include <lite_session.h>
+#include <model.h>
+#include <errorcode.h>
+#include <cstdio>
+#include <algorithm>
+#include <fstream>
+#include <functional>
+#include <sstream>
+#include <vector>
+#include <map>
+#include <string>
+#include <memory>
+#include <utility>
+
+struct ImgDims {
+  int channel = 0;
+  int width = 0;
+  int height = 0;
+};
+
+/*struct SessIterm {
+    std::shared_ptr<mindspore::session::LiteSession> sess = nullptr;
+};*/
+
+class MSNetWork {
+ public:
+  MSNetWork();
+
+  ~MSNetWork();
+
+  void CreateSessionMS(char *modelBuffer, size_t bufferLen, mindspore::lite::Context *ctx);
+
+  void ReleaseNets(void);
+
+  mindspore::session::LiteSession *session() const { return session_; }
+ private:
+  mindspore::session::LiteSession *session_;
+  mindspore::lite::Model *model_;
+};
+#endif

model_zoo/official/lite/car_classification/app/src/main/cpp/MindSporeNetnative.cpp

@@ -0,0 +1,304 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include <jni.h>
+#include <android/bitmap.h>
+#include <android/asset_manager_jni.h>
+#include <android/log.h>
+#include <utility>
+#include <cstring>
+#include <vector>
+#include <string>
+#include <unordered_map>
+#include <set>
+#include "include/errorcode.h"
+#include "include/ms_tensor.h"
+#include "MindSporeNetnative.h"
+#include "MSNetWork.h"
+#include "lite_cv/lite_mat.h"
+#include "lite_cv/image_process.h"
+
+using mindspore::dataset::LiteMat;
+using mindspore::dataset::LPixelType;
+using mindspore::dataset::LDataType;
+#define MS_PRINT(format, ...) __android_log_print(ANDROID_LOG_INFO, "MSJNI", format, ##__VA_ARGS__)
+
+
+static const int RET_CAR_DETAILED_SUM = 10;
+static const char *labels_name_car_detailed_map[RET_CAR_DETAILED_SUM] = {
+        {"大客车"},
+        {"出租车"},
+        {"中小型货车"},
+        {"小轿车"},
+        {"面包车"},
+        {"越野车"},
+        {"SUV"},
+        {"卡车"},
+        {"赛车"},
+        {"消防车"},
+};
+
+
+char *CreateLocalModelBuffer(JNIEnv *env, jobject modelBuffer) {
+    jbyte *modelAddr = static_cast<jbyte *>(env->GetDirectBufferAddress(modelBuffer));
+    int modelLen = static_cast<int>(env->GetDirectBufferCapacity(modelBuffer));
+    char *buffer(new char[modelLen]);
+    memcpy(buffer, modelAddr, modelLen);
+    return buffer;
+}
+
+/**
+ * To process the result of mindspore inference.
+ * @param msOutputs
+ * @return
+ */
+std::string ProcessRunnetResult(const int RET_CATEGORY_SUM, const char *const labels_name_map[],
+                                std::unordered_map<std::string, mindspore::tensor::MSTensor *> msOutputs) {
+    // Get the branch of the model output.
+    // Use iterators to get map elements.
+    std::unordered_map<std::string, mindspore::tensor::MSTensor *>::iterator iter;
+    iter = msOutputs.begin();
+
+    // The mobilenetv2.ms model output just one branch.
+    auto outputTensor = iter->second;
+
+    // Get a pointer to the first score.
+    float *temp_scores = static_cast<float *>(outputTensor->MutableData());
+    float max = 0.0;
+    int maxIndex = 0;
+    for (int i = 0; i < RET_CAR_DETAILED_SUM; ++i) {
+        if (temp_scores[i] > max) {
+            max = temp_scores[i];
+            maxIndex = i;
+        }
+    }
+
+    // Score for each category.
+    // Converted to text information that needs to be displayed in the APP.
+    std::string categoryScore = "";
+    categoryScore += labels_name_map[maxIndex];
+    return categoryScore;
+}
+
+bool BitmapToLiteMat(JNIEnv *env, const jobject &srcBitmap, LiteMat *lite_mat) {
+    bool ret = false;
+    AndroidBitmapInfo info;
+    void *pixels = nullptr;
+    LiteMat &lite_mat_bgr = *lite_mat;
+    AndroidBitmap_getInfo(env, srcBitmap, &info);
+    if (info.format != ANDROID_BITMAP_FORMAT_RGBA_8888) {
+        MS_PRINT("Image Err, Request RGBA");
+        return false;
+    }
+    AndroidBitmap_lockPixels(env, srcBitmap, &pixels);
+    if (info.stride == info.width * 4) {
+        ret = InitFromPixel(reinterpret_cast<const unsigned char *>(pixels),
+                            LPixelType::RGBA2RGB, LDataType::UINT8,
+                            info.width, info.height, lite_mat_bgr);
+        if (!ret) {
+            MS_PRINT("Init From RGBA error");
+        }
+    } else {
+        unsigned char *pixels_ptr = new unsigned char[info.width * info.height * 4];
+        unsigned char *ptr = pixels_ptr;
+        unsigned char *data = reinterpret_cast<unsigned char *>(pixels);
+        for (int i = 0; i < info.height; i++) {
+            memcpy(ptr, data, info.width * 4);
+            ptr += info.width * 4;
+            data += info.stride;
+        }
+        ret = InitFromPixel(reinterpret_cast<const unsigned char *>(pixels_ptr),
+                            LPixelType::RGBA2RGB, LDataType::UINT8,
+                            info.width, info.height, lite_mat_bgr);
+        if (!ret) {
+            MS_PRINT("Init From RGBA error");
+        }
+        delete[] (pixels_ptr);
+    }
+    AndroidBitmap_unlockPixels(env, srcBitmap);
+    return ret;
+}
+
+bool PreProcessImageData(const LiteMat &lite_mat_bgr, LiteMat *lite_norm_mat_ptr) {
+    bool ret = false;
+    LiteMat lite_mat_resize;
+    LiteMat &lite_norm_mat_cut = *lite_norm_mat_ptr;
+    ret = ResizeBilinear(lite_mat_bgr, lite_mat_resize, 256, 256);
+    if (!ret) {
+        MS_PRINT("ResizeBilinear error");
+        return false;
+    }
+    LiteMat lite_mat_convert_float;
+    ret = ConvertTo(lite_mat_resize, lite_mat_convert_float, 1.0 / 255.0);
+    if (!ret) {
+        MS_PRINT("ConvertTo error");
+        return false;
+    }
+    LiteMat lite_mat_cut;
+    ret = Crop(lite_mat_convert_float, lite_mat_cut, 16, 16, 224, 224);
+    if (!ret) {
+        MS_PRINT("Crop error");
+        return false;
+    }
+    std::vector<float> means = {0.485, 0.456, 0.406};
+    std::vector<float> stds = {0.229, 0.224, 0.225};
+    SubStractMeanNormalize(lite_mat_cut, lite_norm_mat_cut, means, stds);
+    return true;
+}
+
+
+/**
+ * The Java layer reads the model into MappedByteBuffer or ByteBuffer to load the model.
+ */
+extern "C"
+JNIEXPORT jlong JNICALL
+Java_com_mindspore_classificationforcar_gallery_classify_TrackingMobile_loadModel(JNIEnv *env,
+                                                                             jobject thiz,
+                                                                             jobject model_buffer,
+                                                                             jint num_thread) {
+    if (nullptr == model_buffer) {
+        MS_PRINT("error, buffer is nullptr!");
+        return (jlong) nullptr;
+    }
+    jlong bufferLen = env->GetDirectBufferCapacity(model_buffer);
+    if (0 == bufferLen) {
+        MS_PRINT("error, bufferLen is 0!");
+        return (jlong) nullptr;
+    }
+
+    char *modelBuffer = CreateLocalModelBuffer(env, model_buffer);
+    if (modelBuffer == nullptr) {
+        MS_PRINT("modelBuffer create failed!");
+        return (jlong) nullptr;
+    }
+
+    // To create a mindspore network inference environment.
+    void **labelEnv = new void *;
+    MSNetWork *labelNet = new MSNetWork;
+    *labelEnv = labelNet;
+
+    mindspore::lite::Context *context = new mindspore::lite::Context;
+    context->thread_num_ = num_thread;
+
+    labelNet->CreateSessionMS(modelBuffer, bufferLen, context);
+    delete context;
+
+    if (labelNet->session() == nullptr) {
+        MS_PRINT("MindSpore create session failed!.");
+        delete labelNet;
+        delete labelEnv;
+        return (jlong) nullptr;
+    }
+
+    if (model_buffer != nullptr) {
+        env->DeleteLocalRef(model_buffer);
+    }
+
+    return (jlong) labelEnv;
+}
+
+/**
+ * After the inference environment is successfully created,
+ * sending a picture to the model and run inference.
+ */
+extern "C" JNIEXPORT jstring JNICALL
+Java_com_mindspore_classificationforcar_gallery_classify_TrackingMobile_runNet(JNIEnv *env, jclass type,
+                                                                          jlong netEnv,
+                                                                          jobject srcBitmap) {
+    LiteMat lite_mat_bgr, lite_norm_mat_cut;
+
+    if (!BitmapToLiteMat(env, srcBitmap, &lite_mat_bgr)) {
+        MS_PRINT("BitmapToLiteMat error");
+        return NULL;
+    }
+    if (!PreProcessImageData(lite_mat_bgr, &lite_norm_mat_cut)) {
+        MS_PRINT("PreProcessImageData error");
+        return NULL;
+    }
+
+    ImgDims inputDims;
+    inputDims.channel = lite_norm_mat_cut.channel_;
+    inputDims.width = lite_norm_mat_cut.width_;
+    inputDims.height = lite_norm_mat_cut.height_;
+
+    // Get the mindsore inference environment which created in loadModel().
+    void **labelEnv = reinterpret_cast<void **>(netEnv);
+    if (labelEnv == nullptr) {
+        MS_PRINT("MindSpore error, labelEnv is a nullptr.");
+        return NULL;
+    }
+    MSNetWork *labelNet = static_cast<MSNetWork *>(*labelEnv);
+
+    auto mSession = labelNet->session();
+    if (mSession == nullptr) {
+        MS_PRINT("MindSpore error, Session is a nullptr.");
+        return NULL;
+    }
+    MS_PRINT("MindSpore get session.");
+
+    auto msInputs = mSession->GetInputs();
+    if (msInputs.size() == 0) {
+        MS_PRINT("MindSpore error, msInputs.size() equals 0.");
+        return NULL;
+    }
+    auto inTensor = msInputs.front();
+
+    float *dataHWC = reinterpret_cast<float *>(lite_norm_mat_cut.data_ptr_);
+    // Copy dataHWC to the model input tensor.
+    memcpy(inTensor->MutableData(), dataHWC,
+           inputDims.channel * inputDims.width * inputDims.height * sizeof(float));
+
+    // After the model and image tensor data is loaded, run inference.
+    auto status = mSession->RunGraph();
+
+    if (status != mindspore::lite::RET_OK) {
+        MS_PRINT("MindSpore run net error.");
+        return NULL;
+    }
+
+    /**
+     * Get the mindspore inference results.
+     * Return the map of output node name and MindSpore Lite MSTensor.
+     */
+    auto names = mSession->GetOutputTensorNames();
+
+    std::unordered_map<std::string, mindspore::tensor::MSTensor *> msOutputs;
+    for (const auto &name : names) {
+        auto temp_dat = mSession->GetOutputByTensorName(name);
+        msOutputs.insert(std::pair<std::string, mindspore::tensor::MSTensor *>{name, temp_dat});
+    }
+
+    std::string resultStr = ProcessRunnetResult(::RET_CAR_DETAILED_SUM,
+                                                ::labels_name_car_detailed_map, msOutputs);
+
+    const char *resultCharData = resultStr.c_str();
+    return (env)->NewStringUTF(resultCharData);
+}
+
+extern "C" JNIEXPORT jboolean JNICALL
+Java_com_mindspore_classificationforcar_gallery_classify_TrackingMobile_unloadModel(JNIEnv *env,
+                                                                               jclass type,
+                                                                               jlong netEnv) {
+    MS_PRINT("MindSpore release net.");
+    void **labelEnv = reinterpret_cast<void **>(netEnv);
+    if (labelEnv == nullptr) {
+        MS_PRINT("MindSpore error, labelEnv is a nullptr.");
+    }
+    MSNetWork *labelNet = static_cast<MSNetWork *>(*labelEnv);
+
+    labelNet->ReleaseNets();
+
+    return (jboolean) true;
+}

model_zoo/official/lite/car_classification/app/src/main/cpp/MindSporeNetnative.h

@@ -0,0 +1,21 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef MINDSPORE_JNI_HMS_DEBUG_MINDSPORENETNATIVE_H
+#define MINDSPORE_JNI_HMS_DEBUG_MINDSPORENETNATIVE_H
+
+
+#endif  // MINDSPORE_JNI_HMS_DEBUG_MINDSPORENETNATIVE_H

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/gallery/classify/BitmapUtils.java

@@ -0,0 +1,165 @@
+/**
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ * <p>
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ * <p>
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * <p>
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.mindspore.classificationforcar.gallery.classify;
+
+import android.app.Activity;
+import android.content.ContentResolver;
+import android.content.Context;
+import android.database.Cursor;
+import android.graphics.Bitmap;
+import android.graphics.BitmapFactory;
+import android.graphics.Matrix;
+import android.media.ExifInterface;
+import android.net.Uri;
+
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.io.File;
+import java.io.FileNotFoundException;
+import java.io.IOException;
+import java.io.InputStream;
+
+public class BitmapUtils {
+    private static final String TAG = "BitmapUtils";
+
+    public static void recycleBitmap(Bitmap... bitmaps) {
+        for (Bitmap bitmap : bitmaps) {
+            if (bitmap != null && !bitmap.isRecycled()) {
+                bitmap.recycle();
+                bitmap = null;
+            }
+        }
+    }
+
+    public static Bitmap getBitmapFormUri(Activity ac, Uri uri) {
+        Bitmap bitmap = null;
+        try {
+            InputStream input = ac.getContentResolver().openInputStream(uri);
+            BitmapFactory.Options onlyBoundsOptions = new BitmapFactory.Options();
+            onlyBoundsOptions.inJustDecodeBounds = true;
+            onlyBoundsOptions.inDither = true;//optional
+            onlyBoundsOptions.inPreferredConfig = Bitmap.Config.ARGB_8888;//optional
+            BitmapFactory.decodeStream(input, null, onlyBoundsOptions);
+            input.close();
+            int originalWidth = onlyBoundsOptions.outWidth;
+            int originalHeight = onlyBoundsOptions.outHeight;
+            if ((originalWidth == -1) || (originalHeight == -1))
+                return null;
+            float hh = 1920f;
+            float ww = 1080f;
+            int be = 1;
+            if (originalWidth > originalHeight && originalWidth > ww) {
+                be = (int) (originalWidth / ww);
+            } else if (originalWidth < originalHeight && originalHeight > hh) {
+                be = (int) (originalHeight / hh);
+            }
+            if (be <= 0) {
+                be = 1;
+            }
+            BitmapFactory.Options bitmapOptions = new BitmapFactory.Options();
+            bitmapOptions.inSampleSize = be;
+            bitmapOptions.inDither = true;//optional
+            bitmapOptions.inPreferredConfig = Bitmap.Config.ARGB_8888;//optional
+            input = ac.getContentResolver().openInputStream(uri);
+            bitmap = BitmapFactory.decodeStream(input, null, bitmapOptions);
+            input.close();
+
+
+        } catch (FileNotFoundException e) {
+            e.printStackTrace();
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+        return compressImage(bitmap);
+    }
+
+
+    public static Bitmap compressImage(Bitmap image) {
+        if (image != null) {
+            ByteArrayOutputStream baos = new ByteArrayOutputStream();
+            image.compress(Bitmap.CompressFormat.JPEG, 100, baos);
+            int options = 100;
+            while (baos.toByteArray().length / 1024 > 100) {
+                baos.reset();
+                image.compress(Bitmap.CompressFormat.JPEG, options, baos);
+                options -= 10;
+            }
+            ByteArrayInputStream isBm = new ByteArrayInputStream(baos.toByteArray());
+            Bitmap bitmap = BitmapFactory.decodeStream(isBm, null, null);
+            return bitmap;
+        }else {
+            return null;
+        }
+    }
+
+    public static File getFileFromMediaUri(Context ac, Uri uri) {
+        if (uri.getScheme().toString().compareTo("content") == 0) {
+            ContentResolver cr = ac.getContentResolver();
+            Cursor cursor = cr.query(uri, null, null, null, null);
+            if (cursor != null) {
+                cursor.moveToFirst();
+                String filePath = cursor.getString(cursor.getColumnIndex("_data"));
+                cursor.close();
+                if (filePath != null) {
+                    return new File(filePath);
+                }
+            }
+        } else if (uri.getScheme().toString().compareTo("file") == 0) {
+            return new File(uri.toString().replace("file://", ""));
+        }
+        return null;
+    }
+
+    public static int getBitmapDegree(String path) {
+        int degree = 0;
+        try {
+            ExifInterface exifInterface = new ExifInterface(path);
+            int orientation = exifInterface.getAttributeInt(ExifInterface.TAG_ORIENTATION,
+                    ExifInterface.ORIENTATION_NORMAL);
+            switch (orientation) {
+                case ExifInterface.ORIENTATION_ROTATE_90:
+                    degree = 90;
+                    break;
+                case ExifInterface.ORIENTATION_ROTATE_180:
+                    degree = 180;
+                    break;
+                case ExifInterface.ORIENTATION_ROTATE_270:
+                    degree = 270;
+                    break;
+            }
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+        return degree;
+    }
+
+    public static Bitmap rotateBitmapByDegree(Bitmap bm, int degree) {
+        Bitmap returnBm = null;
+        Matrix matrix = new Matrix();
+        matrix.postRotate(degree);
+        try {
+            returnBm = Bitmap.createBitmap(bm, 0, 0, bm.getWidth(), bm.getHeight(), matrix, true);
+        } catch (OutOfMemoryError e) {
+        }
+        if (returnBm == null) {
+            returnBm = bm;
+        }
+        if (bm != returnBm) {
+            bm.recycle();
+        }
+        return returnBm;
+    }
+}

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/gallery/classify/CompareSizesByArea.java

@@ -0,0 +1,34 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.mindspore.classificationforcar.gallery.classify;
+
+import android.util.Size;
+import java.util.Comparator;
+
+/**
+ * Data comparator.
+ */
+
+public class CompareSizesByArea implements Comparator<Size> {
+
+    @Override
+    public int compare(Size lhs, Size rhs) {
+        // We cast here to ensure the multiplications won't overflow
+        return Long.signum((long) lhs.getWidth() * lhs.getHeight() - (long) rhs.getWidth() * rhs.getHeight());
+    }
+
+}

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/gallery/classify/ImageTrackingMobile.java

@@ -0,0 +1,129 @@
+/**
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ * <p>
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ * <p>
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * <p>
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.mindspore.classificationforcar.gallery.classify;
+
+import android.content.Context;
+import android.graphics.Bitmap;
+import android.util.Log;
+
+import java.io.InputStream;
+import java.nio.ByteBuffer;
+
+/**
+ * Call the MindSpore interface API in the Java layer.
+ */
+public class ImageTrackingMobile {
+    private final static String TAG = "ImageTrackingMobile";
+
+    static {
+        try {
+            System.loadLibrary("mlkit-label-MS");
+            Log.i(TAG, "load libiMindSpore.so successfully.");
+        } catch (UnsatisfiedLinkError e) {
+            Log.e(TAG, "UnsatisfiedLinkError >>>>>>" + e.getMessage());
+        }
+    }
+
+    // The address of the running inference environment.
+    private long netEnv = 0;
+
+    private final Context mActivity;
+
+    public ImageTrackingMobile(Context activity) {
+        this.mActivity = activity;
+    }
+
+    /**
+     * JNI load model and also create model inference environment.
+     *
+     * @param modelBuffer Model buffer.
+     * @param numThread   The num of thread.
+     * @return MindSpore Inference environment address.
+     */
+    public native long loadModel(ByteBuffer modelBuffer, int numThread);
+
+    /**
+     * Running model.
+     *
+     * @param netEnv Inference environment address.
+     * @param img    A picture to be inferred.
+     * @return Inference result
+     */
+    public native String runNet(long netEnv, Bitmap img);
+
+    /**
+     * Unbind model data.
+     *
+     * @param netEnv Inference environment address.
+     * @return Unbound state.
+     */
+    public native boolean unloadModel(long netEnv);
+
+    /**
+     * The C++ side is encapsulated into a method of the MSNetWorks class
+     *
+     * @param modelPath Model file location
+     * @return Load model file status
+     */
+    public boolean loadModelFromBuf(String modelPath) {
+        ByteBuffer buffer = loadModelFile(modelPath);
+        netEnv = loadModel(buffer, 2);  //numThread's default setting is 2.
+        if (netEnv == 0) { // Loading model failed.
+            return false;
+        }
+
+        return true;
+    }
+
+    /**
+     * Run MindSpore inference.
+     */
+    public String MindSpore_runnet(Bitmap img) {
+        String ret_str = runNet(netEnv, img);
+        return ret_str;
+    }
+
+    /**
+     * Unload model.
+     *
+     * @return true
+     */
+    public boolean unloadModel() {
+        unloadModel(netEnv);
+        return true;
+    }
+
+    /**
+     * Load model file stream.
+     *
+     * @param modelPath Model file path.
+     * @return Model ByteBuffer.
+     */
+    public ByteBuffer loadModelFile(String modelPath) {
+        InputStream is = null;
+        try {
+            is = mActivity.getAssets().open(modelPath);
+            byte[] bytes = new byte[is.available()];
+            is.read(bytes);
+            return ByteBuffer.allocateDirect(bytes.length).put(bytes);
+        } catch (Exception e) {
+            Log.d("loadModelFile", " Exception occur. ");
+            Log.e(TAG, Log.getStackTraceString(e));
+        }
+        return null;
+    }
+}

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/gallery/classify/RecognitionImageBean.java

@@ -0,0 +1,45 @@
+/**
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ * <p>
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ * <p>
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * <p>
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.mindspore.classificationforcar.gallery.classify;
+
+public class RecognitionImageBean {
+
+    private String name;
+    private float score;
+
+    public RecognitionImageBean(String name, float score) {
+        this.name = name;
+        this.score = score;
+    }
+
+    public String getName() {
+        return name;
+    }
+
+    public void setName(String name) {
+        this.name = name;
+    }
+
+    public float getScore() {
+        return score;
+    }
+
+    public void setScore(float score) {
+        this.score = score;
+    }
+
+
+}

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/gallery/classify/TrackingMobile.java

@@ -0,0 +1,129 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.mindspore.classificationforcar.gallery.classify;
+
+import android.content.Context;
+import android.graphics.Bitmap;
+import android.util.Log;
+
+import java.io.FileInputStream;
+import java.io.InputStream;
+import java.nio.ByteBuffer;
+
+/**
+ * Call the MindSpore interface API in the Java layer.
+ */
+public class TrackingMobile {
+    private final static String TAG = "TrackingMobile";
+
+    static {
+        try {
+            System.loadLibrary("mlkit-label-MS");
+            Log.i(TAG, "load libiMindSpore.so successfully.");
+        } catch (UnsatisfiedLinkError e) {
+            Log.e(TAG, "UnsatisfiedLinkError " + e.getMessage());
+        }
+    }
+
+    // The address of the running inference environment.
+    private long netEnv = 0;
+
+    private final Context mActivity;
+
+    public TrackingMobile(Context activity) {
+        this.mActivity = activity;
+    }
+
+    /**
+     * JNI load model and also create model inference environment.
+     *
+     * @param modelBuffer Model buffer.
+     * @param numThread The num of thread.
+     * @return MindSpore Inference environment address.
+     */
+    public native long loadModel(ByteBuffer modelBuffer, int numThread);
+
+    /**
+     * Running model.
+     * 
+     * @param netEnv Inference environment address.
+     * @param img A picture to be inferred.
+     * @return Inference result
+     */
+    public native String runNet(long netEnv, Bitmap img);
+
+    /**
+     * Unbind model data.
+     * 
+     * @param netEnv Inference environment address.
+     * @return Unbound state.
+     */
+    public native boolean unloadModel(long netEnv);
+
+    /**
+     * The C++ side is encapsulated into a method of the MSNetWorks class
+     * 
+     * @param modelPath Model file location
+     * @return Load model file status
+     */
+    public boolean loadModelFromBuf(String modelPath) {
+        ByteBuffer buffer = loadModelFile(modelPath);
+        netEnv = loadModel(buffer, 2);  //numThread's default setting is 2.
+        if (netEnv == 0){ // Loading model failed.
+            return false;
+        }
+
+        return true;
+    }
+
+    /**
+     * Run MindSpore inference.
+     */
+    public String MindSpore_runnet(Bitmap img) {
+        String ret_str = runNet(netEnv, img);
+        return ret_str;
+    }
+
+    /**
+     * Unload model.
+     * @return true
+     */
+    public boolean unloadModel() {
+        unloadModel(netEnv);
+        return true;
+    }
+
+    /**
+     * Load model file stream.
+     * @param modelPath Model file path.
+     * @return  Model ByteBuffer.
+     */
+    public ByteBuffer loadModelFile(String modelPath) {
+        InputStream is = null;
+        try {
+            is = new FileInputStream(modelPath);
+//            is = mActivity.getAssets().open(modelPath);
+            byte[] bytes = new byte[is.available()];
+            is.read(bytes);
+            return ByteBuffer.allocateDirect(bytes.length).put(bytes);
+        } catch (Exception e) {
+            Log.d("loadModelFile", " Exception occur. ");
+            Log.e(TAG, Log.getStackTraceString(e));
+        }
+        return null;
+    }
+}

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/widget/AutoFitTextureView.java

@@ -0,0 +1,74 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ * <p>
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ * <p>
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * <p>
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.mindspore.classificationforcar.widget;
+
+import android.content.Context;
+import android.util.AttributeSet;
+import android.view.TextureView;
+
+public class AutoFitTextureView extends TextureView {
+
+    private int mRatioWidth = 0;
+    private int mRatioHeight = 0;
+
+    public AutoFitTextureView(Context context) {
+        this(context, null);
+    }
+
+    public AutoFitTextureView(Context context, AttributeSet attrs) {
+        this(context, attrs, 0);
+    }
+
+    public AutoFitTextureView(Context context, AttributeSet attrs, int defStyle) {
+        super(context, attrs, defStyle);
+    }
+
+    /**
+     * Sets the aspect ratio for this view. The size of the view will be measured based on the ratio
+     * calculated from the parameters. Note that the actual sizes of parameters don't matter, that
+     * is, calling setAspectRatio(2, 3) and setAspectRatio(4, 6) make the same result.
+     *
+     * @param width  Relative horizontal size
+     * @param height Relative vertical size
+     */
+    public void setAspectRatio(int width, int height) {
+        if (width < 0 || height < 0) {
+            throw new IllegalArgumentException("Size cannot be negative.");
+        }
+        mRatioWidth = width;
+        mRatioHeight = height;
+        requestLayout();
+    }
+
+    @Override
+    protected void onMeasure(int widthMeasureSpec, int heightMeasureSpec) {
+        super.onMeasure(widthMeasureSpec, heightMeasureSpec);
+        int width = MeasureSpec.getSize(widthMeasureSpec);
+        int height = MeasureSpec.getSize(heightMeasureSpec);
+
+        if (0 == mRatioWidth || 0 == mRatioHeight) {
+            setMeasuredDimension(width, height);
+        } else {
+            if (width > height * mRatioWidth / mRatioHeight) {
+                setMeasuredDimension(width, width * mRatioHeight / mRatioWidth);
+            } else {
+                setMeasuredDimension(height * mRatioWidth / mRatioHeight, height);
+            }
+        }
+    }
+
+}

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/widget/CameraActivity.java

@@ -0,0 +1,156 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ * <p>
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ * <p>
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * <p>
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.mindspore.classificationforcar.widget;
+
+import android.graphics.Bitmap;
+import android.os.Bundle;
+import android.text.TextUtils;
+import android.util.Log;
+import android.widget.TextView;
+
+import androidx.annotation.Nullable;
+import androidx.annotation.UiThread;
+import androidx.appcompat.app.AppCompatActivity;
+
+import com.mindspore.classificationforcar.R;
+import com.mindspore.classificationforcar.gallery.classify.ImageTrackingMobile;
+import com.mindspore.classificationforcar.gallery.classify.RecognitionImageBean;
+import com.mindspore.classificationforcar.gallery.classify.TrackingMobile;
+
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.List;
+
+/**
+ * The main interface of camera preview.
+ * Using Camera 2 API.
+ */
+public class CameraActivity extends AppCompatActivity {
+    private static final String TAG = "CameraActivity";
+    private static final String IMAGE_SCENE_MS = "model/mobilenetv2.ms";
+
+    private String filePath;
+    private boolean isCarModel;
+    private TrackingMobile trackingMobile;
+    private ImageTrackingMobile imageTrackingMobile;
+
+    private TextView resultText;
+    private List<RecognitionImageBean> recognitionObjectBeanList;
+
+    @Override
+    protected void onCreate(@Nullable Bundle savedInstanceState) {
+        super.onCreate(savedInstanceState);
+        Log.d(TAG, "onCreate");
+        setContentView(R.layout.activity_camera);
+
+        filePath = getIntent().getStringExtra("FILEPATH");
+        isCarModel = getIntent().getBooleanExtra("ISHASCARMODELFILE", false);
+        resultText = findViewById(R.id.textResult);
+
+        if (isCarModel) {
+            trackingMobile = new TrackingMobile(this);
+            boolean ret = trackingMobile.loadModelFromBuf(filePath);
+            if (!ret) {
+                Log.e(TAG, "Load model error.");
+                return;
+            }
+        } else {
+            imageTrackingMobile = new ImageTrackingMobile(this);
+            boolean ret = imageTrackingMobile.loadModelFromBuf(IMAGE_SCENE_MS);
+            if (!ret) {
+                Log.e(TAG, "Load model error.");
+                return;
+            }
+        }
+        addCameraFragment();
+    }
+
+    protected void addCameraFragment() {
+        CameraFragment cameraFragment = CameraFragment.newInstance(bitmap -> {
+            runOnUiThread(() -> initMindspore(bitmap));
+        });
+
+        getSupportFragmentManager().beginTransaction()
+                .replace(R.id.container, cameraFragment)
+                .commitAllowingStateLoss();
+    }
+
+
+    private void initMindspore(Bitmap bitmap) {
+        // run net.
+        if (isCarModel) {
+            long startTime = System.currentTimeMillis();
+            String result = trackingMobile.MindSpore_runnet(bitmap);
+            long endTime = System.currentTimeMillis();
+            resultText.setText(TextUtils.isEmpty(result) ? "正在识别..." : result);
+            Log.d(TAG, "RUNNET CONSUMING：" + (endTime - startTime) + "ms");
+            Log.d(TAG, "result：" + result);
+        } else {
+            if (recognitionObjectBeanList != null) {
+                recognitionObjectBeanList.clear();
+            } else {
+                recognitionObjectBeanList = new ArrayList<>();
+            }
+
+            long startTime = System.currentTimeMillis();
+            String result = imageTrackingMobile.MindSpore_runnet(bitmap);
+            long endTime = System.currentTimeMillis();
+            Log.d(TAG, "RUNNET CONSUMING：" + (endTime - startTime) + "ms");
+            Log.d(TAG, "result：" + result);
+            if (!TextUtils.isEmpty(result)) {
+                String[] resultArray = result.split(";");
+                for (String singleRecognitionResult : resultArray) {
+                    String[] singleResult = singleRecognitionResult.split(":");
+                    float score = Float.parseFloat(singleResult[1]);
+                    if (score > 0.5) {
+                        recognitionObjectBeanList.add(new RecognitionImageBean(singleResult[0], score));
+                    }
+                }
+                Collections.sort(recognitionObjectBeanList, (t1, t2) -> Float.compare(t2.getScore(), t1.getScore()));
+                showResultsInBottomSheet(recognitionObjectBeanList, (endTime - startTime) + "ms");
+            }
+        }
+    }
+
+
+    @UiThread
+    protected void showResultsInBottomSheet(List<RecognitionImageBean> list, String time) {
+        if (list == null || list.size() < 1) {
+            return;
+        }
+        StringBuilder stringBuilder = new StringBuilder();
+        for (int i = 0; i < list.size(); i++) {
+            RecognitionImageBean bean = list.get(i);
+            stringBuilder.append(bean.getName()).append("\r:\r").append(String.format("%.2f", (100 * bean.getScore())) + "%").append("\r\n");
+            if (i > 3) { // set maximum display is 3.
+                break;
+            }
+        }
+        resultText.setText(stringBuilder);
+    }
+
+    @Override
+    protected void onDestroy() {
+        super.onDestroy();
+        if (trackingMobile != null) {
+            trackingMobile.unloadModel();
+        }
+        if (imageTrackingMobile != null) {
+            imageTrackingMobile.unloadModel();
+        }
+    }
+}

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/widget/CameraFragment.java

@@ -0,0 +1,782 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ * <p>
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ * <p>
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * <p>
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.mindspore.classificationforcar.widget;
+
+import android.annotation.SuppressLint;
+import android.app.Activity;
+import android.content.Context;
+import android.content.res.Configuration;
+import android.graphics.Bitmap;
+import android.graphics.ImageFormat;
+import android.graphics.Matrix;
+import android.graphics.Point;
+import android.graphics.RectF;
+import android.graphics.SurfaceTexture;
+import android.hardware.camera2.CameraAccessException;
+import android.hardware.camera2.CameraCaptureSession;
+import android.hardware.camera2.CameraCharacteristics;
+import android.hardware.camera2.CameraDevice;
+import android.hardware.camera2.CameraManager;
+import android.hardware.camera2.CameraMetadata;
+import android.hardware.camera2.CaptureRequest;
+import android.hardware.camera2.CaptureResult;
+import android.hardware.camera2.TotalCaptureResult;
+import android.hardware.camera2.params.StreamConfigurationMap;
+import android.media.Image;
+import android.media.ImageReader;
+import android.os.Bundle;
+import android.os.Environment;
+import android.os.Handler;
+import android.os.HandlerThread;
+import android.util.Log;
+import android.util.Size;
+import android.util.SparseIntArray;
+import android.view.LayoutInflater;
+import android.view.Surface;
+import android.view.TextureView;
+import android.view.View;
+import android.view.ViewGroup;
+import android.widget.Toast;
+
+import androidx.annotation.NonNull;
+import androidx.annotation.Nullable;
+import androidx.fragment.app.Fragment;
+
+import com.mindspore.classificationforcar.R;
+import com.mindspore.classificationforcar.gallery.classify.CompareSizesByArea;
+import com.mindspore.classificationforcar.gallery.classify.TrackingMobile;
+
+import java.io.File;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+import java.util.concurrent.Semaphore;
+import java.util.concurrent.TimeUnit;
+
+public class CameraFragment extends Fragment {
+
+    private static final String TAG = "CameraFragment";
+
+    private static final SparseIntArray ORIENTATIONS = new SparseIntArray();
+
+    static {
+        ORIENTATIONS.append(Surface.ROTATION_0, 90);
+        ORIENTATIONS.append(Surface.ROTATION_90, 0);
+        ORIENTATIONS.append(Surface.ROTATION_180, 270);
+        ORIENTATIONS.append(Surface.ROTATION_270, 180);
+    }
+
+    private static final int MAX_PREVIEW_WIDTH = 1920;
+
+    private static final int MAX_PREVIEW_HEIGHT = 1280;
+
+    private Semaphore mCameraOpenCloseLock = new Semaphore(1);
+
+    private int mState = STATE_PREVIEW;
+
+    private static final int STATE_PREVIEW = 0;
+
+    private static final int STATE_WAITING_LOCK = 1;
+
+    private static final int STATE_WAITING_PRECAPTURE = 2;
+
+    private static final int STATE_WAITING_NON_PRECAPTURE = 3;
+
+    private static final int STATE_PICTURE_TAKEN = 4;
+
+    /**
+     * Data interface returned after identification.
+     */
+    private RecognitionDataCallBack recognitionDataCallBack;
+
+    private AutoFitTextureView mTextureView;
+
+    private boolean mFlashSupported;
+
+    private boolean isPreBackgroundThreadPause;
+
+
+    /**
+     * HandlerThread and Handler of camera and algorithm.
+     */
+    private HandlerThread mCameraHandlerThread, mMindsporeHandlerThread;
+
+    private Handler mCameraHandler, mMindsporeHandler;
+
+    private CameraManager mCameraManager;
+
+    private CameraCaptureSession mCaptureSession;
+
+    private CameraDevice mCameraDevice;
+
+    private String mCameraId;
+
+    private ImageReader mImageReader;
+
+    private CaptureRequest.Builder mPreviewRequestBuilder;
+
+    private CaptureRequest mPreviewRequest;
+
+    private File mFile;
+
+    private Size mPreviewSize;
+
+    private int mSensorOrientation;
+
+    private CameraDevice.StateCallback mCameraDeviceStateCallback;
+
+
+    private CameraFragment(RecognitionDataCallBack recognitionDataCallBack) {
+        this.recognitionDataCallBack = recognitionDataCallBack;
+    }
+
+    /**
+     * Singleton.
+     *
+     * @param recognitionDataCallBack Identify data return interface.
+     * @return Construction method.
+     */
+    public static CameraFragment newInstance(RecognitionDataCallBack recognitionDataCallBack) {
+        return new CameraFragment(recognitionDataCallBack);
+    }
+
+    /**
+     * Data interface returned after identification.
+     */
+    public interface RecognitionDataCallBack {
+
+        void onRecognitionDataCallBack(Bitmap bitmap);
+    }
+
+    @Override
+    public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {
+        return inflater.inflate(R.layout.fragment_camera, container, false);
+    }
+
+    @Override
+    public void onViewCreated(@NonNull View view, @Nullable Bundle savedInstanceState) {
+        mTextureView = (AutoFitTextureView) view.findViewById(R.id.texture);
+    }
+
+    @Override
+    public void onResume() {
+        super.onResume();
+        initChildThread();
+        initCameraManager();
+        initSelectCamera();
+        initHandlerMatchingSize();
+        initImageReader();
+        initTextureViewListener();
+    }
+
+    @Override
+    public void onPause() {
+        closeCamera();
+        stopBackgroundThread();
+        super.onPause();
+    }
+
+    private void initChildThread() {
+        mCameraHandlerThread = new HandlerThread("CAMERA2");
+        mCameraHandlerThread.start();
+        mCameraHandler = new Handler(mCameraHandlerThread.getLooper());
+
+        mMindsporeHandlerThread = new HandlerThread("MINDSPORE");
+        mMindsporeHandlerThread.start();
+        mMindsporeHandler = new Handler(mMindsporeHandlerThread.getLooper());
+        mMindsporeHandler.postDelayed(classifyRunnable, 500);
+    }
+
+
+    /**
+     * Detect time-consuming threads
+     */
+    private Runnable classifyRunnable = new Runnable() {
+        public void run() {
+            synchronized (CameraFragment.this) {
+                Bitmap bitmap = mTextureView.getBitmap();
+                if (bitmap != null) {
+                    if (recognitionDataCallBack != null) {
+                        // Interface returns data。
+                        recognitionDataCallBack.onRecognitionDataCallBack(bitmap);
+                    }
+                }
+                if (mMindsporeHandler != null && !isPreBackgroundThreadPause) {
+                    mMindsporeHandler.postDelayed(classifyRunnable, 500);
+                }
+            }
+        }
+    };
+
+    private void initCameraManager() {
+        mCameraManager = (CameraManager) getActivity().getSystemService(Context.CAMERA_SERVICE);
+    }
+
+    private void initSelectCamera() {
+        try {
+            String[] cameraIdArray = mCameraManager.getCameraIdList();
+            for (String itemId : cameraIdArray) {
+                CameraCharacteristics itemCharacteristics = mCameraManager.getCameraCharacteristics(itemId);
+                Integer facing = itemCharacteristics.get(CameraCharacteristics.LENS_FACING);
+                if (facing == CameraCharacteristics.LENS_FACING_BACK) {
+                    mCameraId = itemId;
+                    break;
+                }
+
+            }
+        } catch (CameraAccessException e) {
+            e.printStackTrace();
+        }
+        if (mCameraId == null) {
+            Toast.makeText(getActivity(), getString(R.string.camera_error), Toast.LENGTH_SHORT).show();
+        }
+    }
+
+    private StreamConfigurationMap streamConfigurationMap;
+    private Size largest;
+
+    /**
+     * Calculate the camera resolution suitable for the current screen resolution.
+     */
+    private void initHandlerMatchingSize() {
+        try {
+            CameraCharacteristics cameraCharacteristics = mCameraManager.getCameraCharacteristics(mCameraId);
+            streamConfigurationMap = cameraCharacteristics.get(CameraCharacteristics.SCALER_STREAM_CONFIGURATION_MAP);
+
+            Size[] sizes = streamConfigurationMap.getOutputSizes(ImageFormat.JPEG);
+            largest = Collections.max(Arrays.asList(sizes), new CompareSizesByArea());
+
+            Boolean available = cameraCharacteristics.get(CameraCharacteristics.FLASH_INFO_AVAILABLE);
+            mFlashSupported = available == null ? false : available;
+        } catch (CameraAccessException e) {
+            e.printStackTrace();
+        }
+    }
+
+    /**
+     * Initialize the picture.
+     */
+    private void initImageReader() {
+        final int W = 640;
+        final int H = 480;
+
+        mImageReader = ImageReader.newInstance(W, H, ImageFormat.JPEG, 30);
+        mImageReader.setOnImageAvailableListener(new ImageReader.OnImageAvailableListener() {
+            @Override
+            public void onImageAvailable(ImageReader reader) {
+                mFile = new File(getActivity().getExternalFilesDir(null), System.currentTimeMillis() + ".jpg");
+                // Get the data frame and start the algorithm processing.
+                try {
+                    // Get the next image from the ImageReader queue.
+                    Image image = reader.acquireNextImage();
+                    image.close();
+                } catch (Exception e) {
+                    Log.e(TAG, "onImageAvailable: " + e.toString());
+                }
+            }
+        }, mCameraHandler);
+    }
+
+    /**
+     * TextureView.SurfaceTextureListener
+     */
+    private void initTextureViewListener() {
+        if (mTextureView.isAvailable()) {
+            openCamera(mTextureView.getMeasuredWidth(), mTextureView.getMeasuredHeight());
+            Log.d(TAG, "isAvailable: " + mTextureView.getWidth() + "--" + mTextureView.getHeight());
+        } else {
+            mTextureView.setSurfaceTextureListener(new TextureView.SurfaceTextureListener() {
+                @Override
+                public void onSurfaceTextureAvailable(SurfaceTexture texture, int width, int height) {
+                    openCamera(width, height);
+                }
+
+                @Override
+                public void onSurfaceTextureSizeChanged(SurfaceTexture texture, int width, int height) {
+                    configureTransform(width, height);
+                }
+
+                @Override
+                public boolean onSurfaceTextureDestroyed(@NonNull SurfaceTexture surfaceTexture) {
+                    return true;
+                }
+
+                @Override
+                public void onSurfaceTextureUpdated(@NonNull SurfaceTexture surfaceTexture) {
+
+                }
+            });
+        }
+    }
+
+
+    @SuppressLint("MissingPermission")
+    private void openCamera(int width, int height) {
+        setPreviewSize(width, height, streamConfigurationMap, largest);
+        configureTransform(width, height);
+
+        mCameraDeviceStateCallback = new CameraDevice.StateCallback() {
+            @Override
+            public void onOpened(@NonNull CameraDevice cameraDevice) {
+                if (cameraDevice != null) {
+                    mCameraOpenCloseLock.release();
+                    mCameraDevice = cameraDevice;
+                    createCameraPreviewSession();
+                }
+            }
+
+            @Override
+            public void onDisconnected(@NonNull CameraDevice cameraDevice) {
+                if (cameraDevice != null) {
+                    mCameraOpenCloseLock.release();
+                    cameraDevice.close();
+                    mCameraDevice = null;
+                }
+            }
+
+            @Override
+            public void onError(@NonNull CameraDevice cameraDevice, int i) {
+                if (cameraDevice != null) {
+                    mCameraOpenCloseLock.release();
+                    cameraDevice.close();
+                    mCameraDevice = null;
+                    if (null != getActivity()) {
+                        getActivity().finish();
+                    }
+                }
+            }
+        };
+
+
+        try {
+            if (!mCameraOpenCloseLock.tryAcquire(2500, TimeUnit.MILLISECONDS)) {
+                throw new RuntimeException("Time out waiting to lock ic_launcher opening.");
+            }
+            mCameraManager.openCamera(mCameraId, mCameraDeviceStateCallback, mCameraHandler);
+        } catch (CameraAccessException e) {
+            e.printStackTrace();
+        } catch (InterruptedException e) {
+            throw new RuntimeException("Interrupted while trying to lock ic_launcher opening.", e);
+        }
+
+
+    }
+
+
+    /**
+     * Open camera preview.
+     */
+    private void createCameraPreviewSession() {
+        try {
+            SurfaceTexture texture = mTextureView.getSurfaceTexture();
+            // Set preview size.
+            texture.setDefaultBufferSize(mPreviewSize.getWidth(), mPreviewSize.getHeight());
+            // This is the output Surface we need to start preview.
+            Surface surface = new Surface(texture);
+
+            mPreviewRequestBuilder = mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW);
+            mPreviewRequestBuilder.addTarget(surface);
+            // Here, we create a CameraCaptureSession for ic_launcher preview.
+            mCameraDevice.createCaptureSession(Arrays.asList(surface, mImageReader.getSurface()),
+                    new CameraCaptureSession.StateCallback() {
+
+                        @Override
+                        public void onConfigured(@NonNull CameraCaptureSession cameraCaptureSession) {
+                            // The ic_launcher is already closed
+                            if (null == mCameraDevice) {
+                                return;
+                            }
+
+                            // When the session is ready, we start displaying the preview.
+                            mCaptureSession = cameraCaptureSession;
+                            try {
+                                // Auto focus should be continuous for ic_launcher preview.
+                                mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_MODE,
+                                        CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE);
+                                // Flash is automatically enabled when necessary.
+                                setAutoFlash(mPreviewRequestBuilder);
+                                // Finally, we start displaying the ic_launcher preview.
+                                mPreviewRequest = mPreviewRequestBuilder.build();
+                                mCaptureSession.setRepeatingRequest(mPreviewRequest, mCaptureCallback, mCameraHandler);
+                            } catch (CameraAccessException e) {
+                                e.printStackTrace();
+                            }
+                        }
+
+                        @Override
+                        public void onConfigureFailed(@NonNull CameraCaptureSession cameraCaptureSession) {
+                            Toast.makeText(getActivity(), "Failed", Toast.LENGTH_LONG).show();
+                        }
+                    }, null);
+        } catch (CameraAccessException e) {
+            e.printStackTrace();
+        }
+    }
+
+
+    private CameraCaptureSession.CaptureCallback mCaptureCallback = new CameraCaptureSession.CaptureCallback() {
+
+        private void process(CaptureResult result) {
+            switch (mState) {
+                case STATE_PREVIEW: {
+                    // We have nothing to do when the ic_launcher preview is working normally.
+                    break;
+                }
+                case STATE_WAITING_LOCK: {
+                    Integer afState = result.get(CaptureResult.CONTROL_AF_STATE);
+                    if (afState == null) {
+                        captureStillPicture();
+                    } else if (CaptureResult.CONTROL_AF_STATE_FOCUSED_LOCKED == afState
+                            || CaptureResult.CONTROL_AF_STATE_NOT_FOCUSED_LOCKED == afState) {
+                        // CONTROL_AE_STATE can be null on some devices
+                        Integer aeState = result.get(CaptureResult.CONTROL_AE_STATE);
+                        if (aeState == null || aeState == CaptureResult.CONTROL_AE_STATE_CONVERGED) {
+                            mState = STATE_PICTURE_TAKEN;
+                            captureStillPicture();
+                        } else {
+                            runPrecaptureSequence();
+                        }
+                    }
+                    break;
+                }
+                case STATE_WAITING_PRECAPTURE: {
+                    // CONTROL_AE_STATE can be null on some devices
+                    Integer aeState = result.get(CaptureResult.CONTROL_AE_STATE);
+                    if (aeState == null || aeState == CaptureResult.CONTROL_AE_STATE_PRECAPTURE
+                            || aeState == CaptureRequest.CONTROL_AE_STATE_FLASH_REQUIRED) {
+                        mState = STATE_WAITING_NON_PRECAPTURE;
+                    }
+                    break;
+                }
+                case STATE_WAITING_NON_PRECAPTURE: {
+                    // CONTROL_AE_STATE can be null on some devices
+                    Integer aeState = result.get(CaptureResult.CONTROL_AE_STATE);
+                    if (aeState == null || aeState != CaptureResult.CONTROL_AE_STATE_PRECAPTURE) {
+                        mState = STATE_PICTURE_TAKEN;
+                        captureStillPicture();
+                    }
+                    break;
+                }
+            }
+        }
+
+        @Override
+        public void onCaptureProgressed(@NonNull CameraCaptureSession session, @NonNull CaptureRequest request,
+                                        @NonNull CaptureResult partialResult) {
+            process(partialResult);
+        }
+
+        @Override
+        public void onCaptureCompleted(@NonNull CameraCaptureSession session, @NonNull CaptureRequest request,
+                                       @NonNull TotalCaptureResult result) {
+            process(result);
+        }
+    };
+
+
+    /**
+     * Run the precapture sequence for capturing a still image. This method should be called when
+     * we get a response in.
+     */
+    private void runPrecaptureSequence() {
+        try {
+            // This is how to tell the ic_launcher to trigger.
+            mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AE_PRECAPTURE_TRIGGER,
+                    CaptureRequest.CONTROL_AE_PRECAPTURE_TRIGGER_START);
+            // Tell #mCaptureCallback to wait for the precapture sequence to be set.
+            mState = STATE_WAITING_PRECAPTURE;
+            mCaptureSession.capture(mPreviewRequestBuilder.build(), mCaptureCallback, mCameraHandler);
+        } catch (CameraAccessException e) {
+            e.printStackTrace();
+        }
+    }
+
+    /**
+     * Capture a still picture. This method should be called when we get a response in
+     * {@link #mCaptureCallback} from both
+     */
+    private void captureStillPicture() {
+        try {
+            final Activity activity = getActivity();
+            if (null == activity || null == mCameraDevice) {
+                return;
+            }
+            // This is the CaptureRequest.Builder that we use to take a picture.
+            final CaptureRequest.Builder captureBuilder =
+                    mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_STILL_CAPTURE);
+            captureBuilder.addTarget(mImageReader.getSurface());
+
+            // Use the same AE and AF modes as the preview.
+            captureBuilder.set(CaptureRequest.CONTROL_AF_MODE, CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE);
+            setAutoFlash(captureBuilder);
+
+            // Orientation
+            int rotation = activity.getWindowManager().getDefaultDisplay().getRotation();
+            captureBuilder.set(CaptureRequest.JPEG_ORIENTATION, getOrientation(rotation));
+
+            CameraCaptureSession.CaptureCallback CaptureCallback = new CameraCaptureSession.CaptureCallback() {
+
+                @Override
+                public void onCaptureCompleted(@NonNull CameraCaptureSession session, @NonNull CaptureRequest request,
+                                               @NonNull TotalCaptureResult result) {
+                    showToast("Saved: " + mFile);
+                    Log.d(TAG, mFile.toString());
+                    unlockFocus();
+                }
+            };
+
+            mCaptureSession.stopRepeating();
+            mCaptureSession.abortCaptures();
+            mCaptureSession.capture(captureBuilder.build(), CaptureCallback, null);
+        } catch (CameraAccessException e) {
+            e.printStackTrace();
+        }
+    }
+
+    /**
+     * Retrieves the JPEG orientation from the specified screen rotation.
+     *
+     * @param rotation The screen rotation.
+     * @return The JPEG orientation (one of 0, 90, 270, and 360)
+     */
+    private int getOrientation(int rotation) {
+        return (ORIENTATIONS.get(rotation) + mSensorOrientation + 270) % 360;
+    }
+
+    /**
+     * Unlock the focus. This method should be called when still image capture sequence is
+     * finished.
+     */
+    private void unlockFocus() {
+        try {
+            // Reset the auto-focus trigger
+            mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_TRIGGER, CameraMetadata.CONTROL_AF_TRIGGER_CANCEL);
+            setAutoFlash(mPreviewRequestBuilder);
+            mCaptureSession.capture(mPreviewRequestBuilder.build(), mCaptureCallback, mCameraHandler);
+            // After this, the ic_launcher will go back to the normal state of preview.
+            mState = STATE_PREVIEW;
+            mCaptureSession.setRepeatingRequest(mPreviewRequest, mCaptureCallback, mCameraHandler);
+        } catch (CameraAccessException e) {
+            e.printStackTrace();
+        }
+    }
+
+    private void setAutoFlash(CaptureRequest.Builder requestBuilder) {
+        if (mFlashSupported) {
+            requestBuilder.set(CaptureRequest.CONTROL_AE_MODE, CaptureRequest.CONTROL_AE_MODE_ON_AUTO_FLASH);
+        }
+    }
+
+    protected void showToast(final String text) {
+        final Activity activity = getActivity();
+        if (activity != null) {
+            activity.runOnUiThread(new Runnable() {
+                @Override
+                public void run() {
+                    Toast.makeText(activity, text, Toast.LENGTH_SHORT).show();
+                }
+            });
+        }
+    }
+
+    /**
+     * Configures the necessary {@link Matrix} transformation to `mTextureView`.
+     * This method should be called after the ic_launcher preview size is determined in
+     * setUpCameraOutputs and also the size of `mTextureView` is fixed.
+     *
+     * @param viewWidth  The width of `mTextureView`
+     * @param viewHeight The height of `mTextureView`
+     */
+    protected void configureTransform(int viewWidth, int viewHeight) {
+        Activity activity = getActivity();
+        if (null == mTextureView || null == mPreviewSize || null == activity) {
+            return;
+        }
+        int rotation = activity.getWindowManager().getDefaultDisplay().getRotation();
+        Matrix matrix = new Matrix();
+        RectF viewRect = new RectF(0, 0, viewWidth, viewHeight);
+        RectF bufferRect = new RectF(0, 0, mPreviewSize.getHeight(), mPreviewSize.getWidth());
+        float centerX = viewRect.centerX();
+        float centerY = viewRect.centerY();
+        if (Surface.ROTATION_90 == rotation || Surface.ROTATION_270 == rotation) {
+            bufferRect.offset(centerX - bufferRect.centerX(), centerY - bufferRect.centerY());
+            matrix.setRectToRect(viewRect, bufferRect, Matrix.ScaleToFit.FILL);
+            float scale =
+                    Math.max((float) viewHeight / mPreviewSize.getHeight(), (float) viewWidth / mPreviewSize.getWidth());
+            matrix.postScale(scale, scale, centerX, centerY);
+            matrix.postRotate(90 * (rotation - 2), centerX, centerY);
+        } else if (Surface.ROTATION_180 == rotation) {
+            matrix.postRotate(180, centerX, centerY);
+        }
+        mTextureView.setTransform(matrix);
+    }
+
+
+    /**
+     * Set preview image size and positioning.
+     *
+     * @param width
+     * @param height
+     * @param map     StreamConfigurationMap, the manager of all output formats and sizes supported by the camera.
+     * @param largest The max size
+     */
+    private void setPreviewSize(int width, int height, StreamConfigurationMap map, Size largest) {
+        // Find out if we need to swap dimension to get the preview size relative to sensor coordinate.
+        int displayRotation = getActivity().getWindowManager().getDefaultDisplay().getRotation();
+        Log.d(TAG, "displayRotation: " + displayRotation);
+
+        boolean swappedDimensions = false;
+        if (Surface.ROTATION_0 == displayRotation || Surface.ROTATION_180 == displayRotation) {
+            if (mSensorOrientation == 90 || mSensorOrientation == 270) {
+                swappedDimensions = true;
+            }
+        } else if (Surface.ROTATION_90 == displayRotation || Surface.ROTATION_270 == displayRotation) {
+            if (mSensorOrientation == 0 || mSensorOrientation == 180) {
+                swappedDimensions = true;
+            }
+        }
+
+        Point displaySize = new Point();
+        getActivity().getWindowManager().getDefaultDisplay().getSize(displaySize);
+        int rotatedPreviewWidth = width;
+        int rotatedPreviewHeight = height;
+        int maxPreviewWidth = displaySize.x;
+        int maxPreviewHeight = displaySize.y;
+
+        if (swappedDimensions) {
+            rotatedPreviewWidth = height;
+            rotatedPreviewHeight = width;
+            maxPreviewWidth = displaySize.y;
+            maxPreviewHeight = displaySize.x;
+        }
+
+        if (maxPreviewWidth > MAX_PREVIEW_WIDTH) {
+            maxPreviewWidth = MAX_PREVIEW_WIDTH;
+        }
+
+        if (maxPreviewHeight > MAX_PREVIEW_HEIGHT) {
+            maxPreviewHeight = MAX_PREVIEW_HEIGHT;
+        }
+
+        // Danger, W.R.! Attempting to use too large a preview size could exceed the ic_launcher
+        // bus' bandwidth limitation, resulting in gorgeous previews but the storage of
+        // garbage capture data.
+        mPreviewSize = chooseOptimalSize(map.getOutputSizes(SurfaceTexture.class), rotatedPreviewWidth,
+                rotatedPreviewHeight, maxPreviewWidth, maxPreviewHeight, largest);
+
+        // We fit the aspect ratio of TextureView to the size of preview we picked.
+        int orientation = getResources().getConfiguration().orientation;// manifest中方向已经写死
+        if (orientation == Configuration.ORIENTATION_LANDSCAPE) {
+            mTextureView.setAspectRatio(mPreviewSize.getWidth(), mPreviewSize.getHeight());
+        } else {
+            mTextureView.setAspectRatio(mPreviewSize.getHeight(), mPreviewSize.getWidth());
+        }
+    }
+
+    /**
+     * Given {@code choices} of {@code Size}s supported by a ic_launcher, choose the smallest one that
+     * is at least as large as the respective texture view size, and that is at most as large as the
+     * respective max size, and whose aspect ratio matches with the specified value. If such size
+     * doesn't exist, choose the largest one that is at most as large as the respective max size,
+     * and whose aspect ratio matches with the specified value.
+     *
+     * @param choices           The list of sizes that the ic_launcher supports for the intended output
+     *                          class
+     * @param textureViewWidth  The width of the texture view relative to sensor coordinate
+     * @param textureViewHeight The height of the texture view relative to sensor coordinate
+     * @param maxWidth          The maximum width that can be chosen
+     * @param maxHeight         The maximum height that can be chosen
+     * @param aspectRatio       The aspect ratio
+     * @return The optimal {@code Size}, or an arbitrary one if none were big enough
+     */
+    protected Size chooseOptimalSize(Size[] choices, int textureViewWidth, int textureViewHeight, int maxWidth,
+                                     int maxHeight, Size aspectRatio) {
+
+        // Collect the supported resolutions that are at least as big as the preview Surface
+        List<Size> bigEnough = new ArrayList<>();
+        // Collect the supported resolutions that are smaller than the preview Surface
+        List<Size> notBigEnough = new ArrayList<>();
+        int w = aspectRatio.getWidth();
+        int h = aspectRatio.getHeight();
+        for (Size option : choices) {
+            if (option.getWidth() <= maxWidth && option.getHeight() <= maxHeight
+                    && option.getHeight() == option.getWidth() * h / w) {
+                // if (option.getWidth() <= maxWidth && option.getHeight() <= maxHeight) {
+                if (option.getWidth() >= textureViewWidth && option.getHeight() >= textureViewHeight) {
+                    bigEnough.add(option);
+                } else {
+                    notBigEnough.add(option);
+                }
+            }
+        }
+
+        if (bigEnough.size() > 0) {
+            return Collections.min(bigEnough, new CompareSizesByArea());
+        } else if (notBigEnough.size() > 0) {
+            return Collections.max(notBigEnough, new CompareSizesByArea());
+        } else {
+            Log.e(TAG, "Couldn't find any suitable preview size");
+            return choices[0];
+        }
+    }
+
+
+    /**
+     * Closes the current {@link CameraDevice}.
+     */
+    private void closeCamera() {
+        try {
+            mCameraOpenCloseLock.acquire();
+            if (null != mCaptureSession) {
+                mCaptureSession.close();
+                mCaptureSession = null;
+            }
+            if (null != mCameraDevice) {
+                mCameraDevice.close();
+                mCameraDevice = null;
+            }
+            if (null != mImageReader) {
+                mImageReader.close();
+                mImageReader = null;
+            }
+        } catch (InterruptedException e) {
+            throw new RuntimeException("Interrupted while trying to lock ic_launcher closing.", e);
+        } finally {
+            mCameraOpenCloseLock.release();
+        }
+    }
+
+    private void stopBackgroundThread() {
+        isPreBackgroundThreadPause = true;
+        mCameraHandlerThread.quitSafely();
+        mMindsporeHandlerThread.quitSafely();
+        try {
+            mCameraHandlerThread.join();
+            mCameraHandlerThread = null;
+            mCameraHandler.removeCallbacksAndMessages(null);
+            mCameraHandler = null;
+
+            mMindsporeHandlerThread.join();
+            mMindsporeHandlerThread = null;
+            mMindsporeHandler.removeCallbacksAndMessages(null);
+            mMindsporeHandler = null;
+        } catch (InterruptedException e) {
+            e.printStackTrace();
+        }
+    }
+}

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/widget/MainActivity.java

@@ -0,0 +1,341 @@
+package com.mindspore.classificationforcar.widget;
+
+import android.Manifest;
+import android.content.DialogInterface;
+import android.content.Intent;
+import android.content.pm.PackageManager;
+import android.graphics.Bitmap;
+import android.graphics.BitmapFactory;
+import android.net.Uri;
+import android.os.Build;
+import android.os.Bundle;
+import android.os.Environment;
+import android.provider.MediaStore;
+import android.provider.Settings;
+import android.text.TextUtils;
+import android.util.Log;
+import android.view.View;
+import android.widget.ImageView;
+import android.widget.ProgressBar;
+import android.widget.TextView;
+import android.widget.Toast;
+
+import androidx.annotation.NonNull;
+import androidx.annotation.Nullable;
+import androidx.annotation.UiThread;
+import androidx.appcompat.app.AlertDialog;
+import androidx.appcompat.app.AppCompatActivity;
+import androidx.core.app.ActivityCompat;
+import androidx.core.content.ContextCompat;
+import androidx.core.content.FileProvider;
+import androidx.recyclerview.widget.GridLayoutManager;
+import androidx.recyclerview.widget.RecyclerView;
+
+import com.mindspore.classificationforcar.R;
+import com.mindspore.classificationforcar.gallery.classify.BitmapUtils;
+import com.mindspore.classificationforcar.gallery.classify.ImageTrackingMobile;
+import com.mindspore.classificationforcar.gallery.classify.RecognitionImageBean;
+import com.mindspore.classificationforcar.gallery.classify.TrackingMobile;
+
+import java.io.File;
+import java.io.FileNotFoundException;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.List;
+
+public class MainActivity extends AppCompatActivity implements OnBackgroundImageListener {
+
+    private static final String TAG = "MainActivity";
+
+    private static final String[] PERMISSIONS = {Manifest.permission.READ_EXTERNAL_STORAGE, Manifest.permission.WRITE_EXTERNAL_STORAGE,
+            Manifest.permission.READ_PHONE_STATE, Manifest.permission.CAMERA};
+    private static final int REQUEST_PERMISSION = 0;
+
+    private static final int[] IMAGES = {R.drawable.style0, R.drawable.style1, R.drawable.style2, R.drawable.style3, R.drawable.style4,
+            R.drawable.style5, R.drawable.style6, R.drawable.style7, R.drawable.style8, R.drawable.style9,
+            R.drawable.style10, R.drawable.style11, R.drawable.style12, R.drawable.style13, R.drawable.style14,
+            R.drawable.style15, R.drawable.style16, R.drawable.style17, R.drawable.style18, R.drawable.style19};
+
+    private static final int RC_CHOOSE_PHOTO = 1;
+    private static final int RC_CHOOSE_CAMERA = 2;
+    private static final String IMAGE_SCENE_MS = "model/mobilenetv2.ms";
+
+    private boolean isAllGranted;
+    private static final String CAR_MS = "car.ms";
+    private File ROOT_FILE = new File(Environment.getExternalStorageDirectory().getAbsoluteFile(), "CarClassification");
+    private File DIR_FILE = new File(ROOT_FILE, CAR_MS);
+
+    private ImageView imgPreview;
+    private Uri imageUri;
+    private TextView textResult;
+    private ProgressBar progressBar;
+    private RecyclerView recyclerView;
+    private TrackingMobile trackingMobile;
+    private ImageTrackingMobile imageTrackingMobile;
+    private List<RecognitionImageBean> recognitionObjectBeanList;
+
+    @Override
+    protected void onCreate(Bundle savedInstanceState) {
+        super.onCreate(savedInstanceState);
+        setContentView(R.layout.activity_main);
+        init();
+        requestPermissions();
+    }
+
+    private void init() {
+        imgPreview = findViewById(R.id.img_origin);
+        textResult = findViewById(R.id.tv_image);
+        progressBar = findViewById(R.id.progress);
+        recyclerView = findViewById(R.id.recyclerview);
+        recyclerView.setLayoutManager(new GridLayoutManager(this, 3));
+        recyclerView.setAdapter(new RecyclerViewAdapter(this, IMAGES, this));
+        trackingMobile = new TrackingMobile(this);
+        imageTrackingMobile = new ImageTrackingMobile(this);
+    }
+
+    private void requestPermissions() {
+        if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {
+            isAllGranted = checkPermissionAllGranted(PERMISSIONS);
+            if (!isAllGranted) {
+                ActivityCompat.requestPermissions(this, PERMISSIONS, REQUEST_PERMISSION);
+            }
+        } else {
+            isAllGranted = true;
+        }
+    }
+
+    private boolean checkPermissionAllGranted(String[] permissions) {
+        for (String permission : permissions) {
+            if (ContextCompat.checkSelfPermission(this, permission) != PackageManager.PERMISSION_GRANTED) {
+                return false;
+            }
+        }
+        return true;
+    }
+
+    /**
+     * Authority application result callback
+     */
+    @Override
+    public void onRequestPermissionsResult(int requestCode, @NonNull String[] permissions, @NonNull int[] grantResults) {
+        super.onRequestPermissionsResult(requestCode, permissions, grantResults);
+        if (REQUEST_PERMISSION == requestCode) {
+            isAllGranted = true;
+            for (int grant : grantResults) {
+                if (grant != PackageManager.PERMISSION_GRANTED) {
+                    isAllGranted = false;
+                    break;
+                }
+            }
+            if (!isAllGranted) {
+                openAppDetails();
+            }
+        }
+    }
+
+    private void openAppDetails() {
+        AlertDialog.Builder builder = new AlertDialog.Builder(this);
+        builder.setMessage("HiMindSpore需要访问 “相机” 和 “外部存储器”，请到 “应用信息 -> 权限” 中授予！");
+        builder.setPositiveButton("去手动授权", new DialogInterface.OnClickListener() {
+            @Override
+            public void onClick(DialogInterface dialog, int which) {
+                Intent intent = new Intent();
+                intent.setAction(Settings.ACTION_APPLICATION_DETAILS_SETTINGS);
+                intent.addCategory(Intent.CATEGORY_DEFAULT);
+                intent.setData(Uri.parse("package:" + getPackageName()));
+                intent.addFlags(Intent.FLAG_ACTIVITY_NEW_TASK);
+                intent.addFlags(Intent.FLAG_ACTIVITY_NO_HISTORY);
+                intent.addFlags(Intent.FLAG_ACTIVITY_EXCLUDE_FROM_RECENTS);
+                startActivity(intent);
+            }
+        });
+        builder.setNegativeButton("取消", null);
+        builder.show();
+    }
+
+    public boolean isHasCarModelFile() {
+        if (DIR_FILE.exists()) {
+            return true;
+        } else {
+            if (!ROOT_FILE.exists()) {
+                ROOT_FILE.mkdirs();
+            }
+            return false;
+        }
+    }
+
+    public void onClickPhoto(View view) {
+        if (isAllGranted) {
+            openGallay();
+        } else {
+            requestPermissions();
+        }
+    }
+
+    public void onClickCamera(View view) {
+        if (isAllGranted) {
+            openCamera();
+        } else {
+            requestPermissions();
+        }
+    }
+
+    public void onClickScene(View view) {
+        Intent intent = new Intent(MainActivity.this, CameraActivity.class);
+        intent.putExtra("FILEPATH", DIR_FILE.getPath());
+        intent.putExtra("ISHASCARMODELFILE", isHasCarModelFile());
+        startActivity(intent);
+    }
+
+    @Override
+    public void onBackImageSelected(int position) {
+        imgPreview.setImageResource(IMAGES[position]);
+        initMindspore(BitmapFactory.decodeResource(getResources(), IMAGES[position]));
+    }
+
+    private void openGallay() {
+        Intent intentToPickPic = new Intent(Intent.ACTION_PICK, null);
+        intentToPickPic.setDataAndType(MediaStore.Images.Media.EXTERNAL_CONTENT_URI, "image/*");
+        startActivityForResult(intentToPickPic, RC_CHOOSE_PHOTO);
+    }
+
+    private void openCamera() {
+        Intent intentToTakePhoto = new Intent(MediaStore.ACTION_IMAGE_CAPTURE);
+        String mTempPhotoPath = Environment.getExternalStorageDirectory() + File.separator + "photo22.jpeg";
+        imageUri = FileProvider.getUriForFile(this, getApplicationContext().getPackageName() + ".fileprovider", new File(mTempPhotoPath));
+        intentToTakePhoto.putExtra(MediaStore.EXTRA_OUTPUT, imageUri);
+        startActivityForResult(intentToTakePhoto, RC_CHOOSE_CAMERA);
+    }
+
+    @Override
+    protected void onActivityResult(int requestCode, int resultCode, @Nullable Intent data) {
+        super.onActivityResult(requestCode, resultCode, data);
+        if (resultCode == RESULT_OK) {
+            if (RC_CHOOSE_PHOTO == requestCode) {
+                if (null != data && null != data.getData()) {
+                    this.imageUri = data.getData();
+                    showOriginImage();
+                } else {
+                    finish();
+                }
+            } else if (RC_CHOOSE_CAMERA == requestCode) {
+                showOriginCamera();
+            }
+        }
+    }
+
+    private void showOriginImage() {
+        File file = BitmapUtils.getFileFromMediaUri(this, imageUri);
+        Bitmap photoBmp = BitmapUtils.getBitmapFormUri(this, Uri.fromFile(file));
+        int degree = BitmapUtils.getBitmapDegree(file.getAbsolutePath());
+        Bitmap originBitmap = BitmapUtils.rotateBitmapByDegree(photoBmp, degree);
+        if (originBitmap != null) {
+            imgPreview.setImageBitmap(originBitmap);
+            initMindspore(originBitmap.copy(Bitmap.Config.ARGB_8888, true));
+        } else {
+            Toast.makeText(this, R.string.image_invalid, Toast.LENGTH_LONG).show();
+        }
+    }
+
+    private void showOriginCamera() {
+        try {
+            Bitmap originBitmap = BitmapFactory.decodeStream(getContentResolver().openInputStream(imageUri));
+            if (originBitmap != null) {
+                imgPreview.setImageBitmap(originBitmap);
+                initMindspore(originBitmap.copy(Bitmap.Config.ARGB_8888, true));
+            } else {
+                Toast.makeText(this, R.string.image_invalid, Toast.LENGTH_LONG).show();
+            }
+        } catch (FileNotFoundException e) {
+            e.printStackTrace();
+        }
+
+
+    }
+
+    private void initMindspore(Bitmap bitmap) {
+        progressBar.setVisibility(View.VISIBLE);
+
+        if (isHasCarModelFile()) {
+            boolean ret = trackingMobile.loadModelFromBuf(DIR_FILE.getPath());
+            if (!ret) {
+                textResult.setText("Load model error.");
+                Log.e(TAG, "Load model error.");
+                return;
+            }
+            // run net.
+            long startTime = System.currentTimeMillis();
+            String result = trackingMobile.MindSpore_runnet(bitmap);
+            long endTime = System.currentTimeMillis();
+            progressBar.setVisibility(View.GONE);
+            textResult.setText(result);
+            Log.d(TAG, "RUNNET CONSUMING：" + (endTime - startTime) + "ms");
+            Log.d(TAG, "result：" + result);
+        } else {
+            if (recognitionObjectBeanList != null) {
+                recognitionObjectBeanList.clear();
+            } else {
+                recognitionObjectBeanList = new ArrayList<>();
+            }
+
+            boolean ret = imageTrackingMobile.loadModelFromBuf(IMAGE_SCENE_MS);
+            if (!ret) {
+                textResult.setText("Load model error.");
+                Log.e(TAG, "Load model error.");
+                return;
+            }
+            // run net.
+            long startTime = System.currentTimeMillis();
+            String result = imageTrackingMobile.MindSpore_runnet(bitmap);
+            long endTime = System.currentTimeMillis();
+            progressBar.setVisibility(View.GONE);
+            Log.d(TAG, "RUNNET CONSUMING：" + (endTime - startTime) + "ms");
+            Log.d(TAG, "result：" + result);
+
+            if (!TextUtils.isEmpty(result)) {
+                String[] resultArray = result.split(";");
+                for (String singleRecognitionResult : resultArray) {
+                    String[] singleResult = singleRecognitionResult.split(":");
+                    float score = Float.parseFloat(singleResult[1]);
+                    if (score > 0.5) {
+                        recognitionObjectBeanList.add(new RecognitionImageBean(singleResult[0], score));
+                    }
+                }
+                Collections.sort(recognitionObjectBeanList, (t1, t2) -> Float.compare(t2.getScore(), t1.getScore()));
+                showResultsInBottomSheet(recognitionObjectBeanList, (endTime - startTime) + "ms");
+            }
+        }
+        if (!bitmap.isRecycled()) {
+            bitmap.recycle();
+        }
+    }
+
+    @UiThread
+    protected void showResultsInBottomSheet(List<RecognitionImageBean> list, String time) {
+        if (list == null || list.size() < 1) {
+            return;
+        }
+        StringBuilder stringBuilder = new StringBuilder();
+        for (int i = 0; i < list.size(); i++) {
+            RecognitionImageBean bean = list.get(i);
+            stringBuilder.append(bean.getName()).append("\r:\r").append(String.format("%.2f", (100 * bean.getScore())) + "%").append("\r\n");
+            if (i > 3) { // set maximum display is 3.
+                break;
+            }
+        }
+        textResult.setText(stringBuilder);
+    }
+
+    @Override
+    protected void onDestroy() {
+        super.onDestroy();
+        if (trackingMobile != null) {
+            trackingMobile.unloadModel();
+        }
+        if (imageTrackingMobile != null) {
+            imageTrackingMobile.unloadModel();
+        }
+    }
+
+
+}

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/widget/OnBackgroundImageListener.java

@@ -0,0 +1,9 @@
+package com.mindspore.classificationforcar.widget;
+
+import android.view.View;
+
+public interface OnBackgroundImageListener {
+    void onBackImageSelected(int position);
+
+//    void onImageAdd(View view);
+}

model_zoo/official/lite/car_classification/app/src/main/java/com/mindspore/classificationforcar/widget/RecyclerViewAdapter.java

@@ -0,0 +1,98 @@
+/**
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ * <p>
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ * <p>
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * <p>
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.mindspore.classificationforcar.widget;
+
+import android.content.Context;
+import android.view.LayoutInflater;
+import android.view.View;
+import android.view.ViewGroup;
+import android.widget.ImageView;
+
+import androidx.annotation.NonNull;
+import androidx.recyclerview.widget.RecyclerView;
+
+import com.bumptech.glide.Glide;
+import com.mindspore.classificationforcar.R;
+
+public class RecyclerViewAdapter extends RecyclerView.Adapter<RecyclerViewAdapter.StyleItemViewHolder> {
+
+    private final int[] IMAGES;
+    private final Context context;
+    private final OnBackgroundImageListener mListener;
+
+    public RecyclerViewAdapter(Context context, int[] IMAGES, OnBackgroundImageListener mListener) {
+        this.IMAGES = IMAGES;
+        this.context = context;
+        this.mListener = mListener;
+    }
+
+    @NonNull
+    @Override
+    public StyleItemViewHolder onCreateViewHolder(@NonNull ViewGroup parent, int viewType) {
+        View view = LayoutInflater.from(context)
+                .inflate(R.layout.image_item, parent, false);
+        return new StyleItemViewHolder(view);
+    }
+
+    @Override
+    public void onBindViewHolder(@NonNull StyleItemViewHolder holder, int position) {
+        Glide.with(context).
+                load(IMAGES[position]).
+                into(holder.getImageView());
+
+        View view = holder.getMView();
+        view.setTag(IMAGES[position]);
+        view.setOnClickListener(view1 -> {
+            if (mListener != null) {
+//                if (IMAGES.length - 1 == position) {
+//                    mListener.onImageAdd(holder.getImageView());
+//                } else {
+                    mListener.onBackImageSelected(position);
+//                }
+            }
+        });
+    }
+
+
+    @Override
+    public int getItemCount() {
+        return IMAGES == null ? 0 : IMAGES.length;
+    }
+
+
+    public class StyleItemViewHolder extends RecyclerView.ViewHolder {
+        private ImageView imageView;
+        private final View mView;
+
+        public final ImageView getImageView() {
+            return this.imageView;
+        }
+
+        public final void setImageView(ImageView imageView) {
+            this.imageView = imageView;
+        }
+
+        public final View getMView() {
+            return this.mView;
+        }
+
+        public StyleItemViewHolder(View mView) {
+            super(mView);
+            this.mView = mView;
+            this.imageView = mView.findViewById(R.id.image_view);
+        }
+    }
+}

model_zoo/official/lite/car_classification/app/src/main/res/drawable-v24/ic_launcher_foreground.xml

@@ -0,0 +1,30 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:aapt="http://schemas.android.com/aapt"
+    android:width="108dp"
+    android:height="108dp"
+    android:viewportWidth="108"
+    android:viewportHeight="108">
+    <path android:pathData="M31,63.928c0,0 6.4,-11 12.1,-13.1c7.2,-2.6 26,-1.4 26,-1.4l38.1,38.1L107,108.928l-32,-1L31,63.928z">
+        <aapt:attr name="android:fillColor">
+            <gradient
+                android:endX="85.84757"
+                android:endY="92.4963"
+                android:startX="42.9492"
+                android:startY="49.59793"
+                android:type="linear">
+                <item
+                    android:color="#44000000"
+                    android:offset="0.0" />
+                <item
+                    android:color="#00000000"
+                    android:offset="1.0" />
+            </gradient>
+        </aapt:attr>
+    </path>
+    <path
+        android:fillColor="#FFFFFF"
+        android:fillType="nonZero"
+        android:pathData="M65.3,45.828l3.8,-6.6c0.2,-0.4 0.1,-0.9 -0.3,-1.1c-0.4,-0.2 -0.9,-0.1 -1.1,0.3l-3.9,6.7c-6.3,-2.8 -13.4,-2.8 -19.7,0l-3.9,-6.7c-0.2,-0.4 -0.7,-0.5 -1.1,-0.3C38.8,38.328 38.7,38.828 38.9,39.228l3.8,6.6C36.2,49.428 31.7,56.028 31,63.928h46C76.3,56.028 71.8,49.428 65.3,45.828zM43.4,57.328c-0.8,0 -1.5,-0.5 -1.8,-1.2c-0.3,-0.7 -0.1,-1.5 0.4,-2.1c0.5,-0.5 1.4,-0.7 2.1,-0.4c0.7,0.3 1.2,1 1.2,1.8C45.3,56.528 44.5,57.328 43.4,57.328L43.4,57.328zM64.6,57.328c-0.8,0 -1.5,-0.5 -1.8,-1.2s-0.1,-1.5 0.4,-2.1c0.5,-0.5 1.4,-0.7 2.1,-0.4c0.7,0.3 1.2,1 1.2,1.8C66.5,56.528 65.6,57.328 64.6,57.328L64.6,57.328z"
+        android:strokeWidth="1"
+        android:strokeColor="#00000000" />
+</vector>

model_zoo/official/lite/car_classification/app/src/main/res/drawable/ic_launcher_background.xml

@@ -0,0 +1,170 @@
+<?xml version="1.0" encoding="utf-8"?>
+<vector xmlns:android="http://schemas.android.com/apk/res/android"
+    android:width="108dp"
+    android:height="108dp"
+    android:viewportHeight="108"
+    android:viewportWidth="108">
+    <path
+        android:fillColor="#26A69A"
+        android:pathData="M0,0h108v108h-108z" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M9,0L9,108"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M19,0L19,108"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M29,0L29,108"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M39,0L39,108"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M49,0L49,108"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M59,0L59,108"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M69,0L69,108"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M79,0L79,108"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M89,0L89,108"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M99,0L99,108"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M0,9L108,9"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M0,19L108,19"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M0,29L108,29"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M0,39L108,39"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M0,49L108,49"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M0,59L108,59"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M0,69L108,69"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M0,79L108,79"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M0,89L108,89"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M0,99L108,99"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M19,29L89,29"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M19,39L89,39"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M19,49L89,49"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M19,59L89,59"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M19,69L89,69"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M19,79L89,79"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M29,19L29,89"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M39,19L39,89"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M49,19L49,89"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M59,19L59,89"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M69,19L69,89"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+    <path
+        android:fillColor="#00000000"
+        android:pathData="M79,19L79,89"
+        android:strokeColor="#33FFFFFF"
+        android:strokeWidth="0.8" />
+</vector>

model_zoo/official/lite/car_classification/app/src/main/res/drawable/progressbar.xml

@@ -0,0 +1,20 @@
+<?xml version="1.0" encoding="utf-8"?>
+<animated-rotate xmlns:android="http://schemas.android.com/apk/res/android"
+    android:fromDegrees="0"
+    android:pivotX="50%"
+    android:pivotY="50%"
+    android:toDegrees="360">
+    <shape
+        android:innerRadiusRatio="3"
+        android:shape="ring"
+        android:thicknessRatio="8"
+        android:useLevel="false">
+        <gradient
+            android:centerColor="#62AEEC"
+            android:centerY="0.50"
+            android:endColor="#1063A5"
+            android:startColor="#61C2EC"
+            android:type="sweep"
+            android:useLevel="false" />
+    </shape>
+</animated-rotate>

model_zoo/official/lite/car_classification/app/src/main/res/drawable/rectangle.xml

@@ -0,0 +1,13 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<shape xmlns:android="http://schemas.android.com/apk/res/android"
+    android:id="@+id/listview_background_shape">
+    <stroke
+        android:width="1dp"
+        android:color="@android:color/darker_gray" />
+    <padding
+        android:bottom="2dp"
+        android:left="2dp"
+        android:right="2dp"
+        android:top="2dp" />
+    <solid android:color="#ffffffff" />
+</shape>

model_zoo/official/lite/car_classification/app/src/main/res/drawable/switch_thumb.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="utf-8"?>
+<shape xmlns:android="http://schemas.android.com/apk/res/android">
+    <size
+        android:width="40dp"
+        android:height="40dp" />
+    <corners android:radius="20dp" />
+    <solid android:color="#82eae5e5" />
+</shape>

model_zoo/official/lite/car_classification/app/src/main/res/drawable/switch_track.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="utf-8"?>
+<shape xmlns:android="http://schemas.android.com/apk/res/android">
+    <size
+        android:width="100dp"
+        android:height="40dp"/>
+    <corners android:radius="20dp" />
+    <solid android:color="#784b4b4b" />
+</shape>

model_zoo/official/lite/car_classification/app/src/main/res/layout/activity_camera.xml

@@ -0,0 +1,54 @@
+<?xml version="1.0" encoding="utf-8"?>
+<androidx.coordinatorlayout.widget.CoordinatorLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:tools="http://schemas.android.com/tools"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:background="#00000000">
+
+    <RelativeLayout
+        android:layout_width="match_parent"
+        android:layout_height="match_parent"
+        android:background="#00000000"
+        android:orientation="vertical">
+
+        <FrameLayout
+            android:id="@+id/container"
+            android:layout_width="match_parent"
+            android:layout_height="match_parent"
+            android:background="@android:color/black"
+            tools:context="com.mindspore.classificationforcar.widget.CameraActivity" />
+
+
+        <androidx.appcompat.widget.Toolbar
+            android:id="@+id/toolbar"
+            android:layout_width="match_parent"
+            android:layout_height="?attr/actionBarSize"
+            android:layout_alignParentTop="true"
+            android:background="#66000000">
+
+            <TextView
+                android:layout_width="match_parent"
+                android:layout_height="wrap_content"
+                android:drawableStart="@drawable/logo"
+                android:drawablePadding="5dp"
+                android:gravity="center_vertical"
+                android:maxLines="1"
+                android:text="MS Car Classification"
+                android:textColor="#ffffff"
+                android:textSize="20sp" />
+        </androidx.appcompat.widget.Toolbar>
+
+        <TextView
+            android:maxLines="3"
+            android:id="@+id/textResult"
+            android:layout_width="match_parent"
+            android:layout_height="150dp"
+            android:layout_alignParentBottom="true"
+            android:background="@color/white"
+            android:gravity="center"
+            android:orientation="vertical"
+            android:text="正在识别..."
+            android:textColor="@color/black"
+            android:textSize="25sp" />
+    </RelativeLayout>
+</androidx.coordinatorlayout.widget.CoordinatorLayout>

model_zoo/official/lite/car_classification/app/src/main/res/layout/activity_main.xml

@@ -0,0 +1,131 @@
+<?xml version="1.0" encoding="utf-8"?>
+<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:background="@color/colorPrimary"
+    android:orientation="vertical">
+
+    <androidx.appcompat.widget.Toolbar
+        android:id="@+id/toolbar"
+        android:layout_width="match_parent"
+        android:layout_height="?attr/actionBarSize"
+        android:layout_alignParentTop="true"
+        android:background="#66000000">
+
+        <TextView
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:drawableStart="@drawable/logo"
+            android:drawablePadding="5dp"
+            android:gravity="center_vertical"
+            android:maxLines="1"
+            android:text="MS Car Classification"
+            android:textColor="#ffffff"
+            android:textSize="20sp" />
+    </androidx.appcompat.widget.Toolbar>
+
+    <FrameLayout
+        android:layout_width="match_parent"
+        android:layout_height="300dp">
+
+        <ImageView
+            android:id="@+id/img_origin"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_gravity="center"
+            android:layout_margin="10dp"
+            android:scaleType="fitXY"
+            android:src="@drawable/logo2" />
+
+        <ProgressBar
+            android:id="@+id/progress"
+            android:layout_width="80dp"
+            android:layout_height="80dp"
+            android:layout_gravity="center"
+            android:indeterminateDrawable="@drawable/progressbar"
+            android:visibility="invisible" />
+    </FrameLayout>
+
+    <TextView
+        android:maxLines="3"
+        android:id="@+id/tv_image"
+        android:layout_width="match_parent"
+        android:layout_height="wrap_content"
+        android:layout_marginLeft="20dp"
+        android:layout_marginTop="20dp"
+        android:text="Choose an Image"
+        android:textAllCaps="false"
+        android:textColor="@color/white"
+        android:textSize="20sp" />
+
+    <LinearLayout
+        android:layout_width="match_parent"
+        android:layout_height="wrap_content"
+        android:layout_marginTop="15dp"
+        android:orientation="horizontal">
+
+        <Button
+            android:layout_width="0dp"
+            android:layout_height="48dp"
+            android:layout_marginLeft="20dp"
+            android:layout_marginRight="5dp"
+            android:layout_weight="1"
+            android:background="@color/gray_btn"
+            android:gravity="center"
+            android:onClick="onClickPhoto"
+            android:text="PHOTO"
+            android:textAllCaps="false"
+            android:textColor="@color/white"
+            android:textSize="12sp" />
+
+        <Button
+            android:layout_width="0dp"
+            android:layout_height="48dp"
+            android:layout_marginLeft="5dp"
+            android:layout_marginRight="5dp"
+            android:layout_weight="1"
+            android:background="@color/gray_btn"
+            android:gravity="center"
+            android:onClick="onClickCamera"
+            android:text="CAMERA"
+            android:textAllCaps="false"
+            android:textColor="@color/white"
+            android:textSize="12sp" />
+
+        <Button
+            android:layout_width="0dp"
+            android:layout_height="48dp"
+            android:layout_marginLeft="5dp"
+            android:layout_marginRight="5dp"
+            android:layout_weight="1"
+            android:background="@color/gray_btn"
+            android:gravity="center"
+            android:onClick="onClickScene"
+            android:text="SCAN"
+            android:textAllCaps="false"
+            android:textColor="@color/white"
+            android:textSize="12sp" />
+
+
+    </LinearLayout>
+
+    <TextView
+        android:layout_width="wrap_content"
+        android:layout_height="wrap_content"
+        android:layout_marginLeft="20dp"
+        android:layout_marginTop="20dp"
+        android:text="Choose a Demo"
+        android:textColor="@color/white"
+        android:textSize="20sp" />
+
+    <androidx.recyclerview.widget.RecyclerView
+        android:id="@+id/recyclerview"
+        android:layout_width="match_parent"
+        android:layout_height="wrap_content"
+        android:layout_margin="20dp"
+        android:fadeScrollbars="false"
+        android:scrollbarSize="6dp"
+        android:scrollbarStyle="outsideInset"
+        android:scrollbarThumbVertical="@color/gray"
+        android:scrollbars="vertical" />
+</LinearLayout>

model_zoo/official/lite/car_classification/app/src/main/res/layout/fragment_camera.xml

@@ -0,0 +1,13 @@
+<?xml version="1.0" encoding="utf-8"?>
+<FrameLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:background="@color/white"
+    android:orientation="vertical">
+
+    <com.mindspore.classificationforcar.widget.AutoFitTextureView
+        android:id="@+id/texture"
+        android:layout_width="match_parent"
+        android:layout_height="match_parent" />
+
+</FrameLayout>

model_zoo/official/lite/car_classification/app/src/main/res/layout/image_item.xml

@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="utf-8"?>
+<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:tools="http://schemas.android.com/tools"
+    android:layout_width="wrap_content"
+    android:layout_height="wrap_content"
+    android:orientation="vertical">
+
+    <ImageView
+        android:id="@+id/image_view"
+        android:layout_width="wrap_content"
+        android:layout_height="120dp"
+        android:scaleType="fitXY"
+        tools:srcCompat="@drawable/logo" />
+</LinearLayout>

model_zoo/official/lite/car_classification/app/src/main/res/layout/layout_hor_text_view.xml

@@ -0,0 +1,40 @@
+<?xml version="1.0" encoding="utf-8"?>
+<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:tools="http://schemas.android.com/tools"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:orientation="vertical">
+
+    <TextView
+        android:id="@+id/tv_left_title"
+        android:layout_width="wrap_content"
+        android:layout_height="wrap_content"
+        android:layout_marginStart="@dimen/hor_text_view_text_margin_normal"
+        android:layout_marginTop="@dimen/hor_text_view_text_margin_small"
+        android:textSize="@dimen/hor_text_view_text_size"
+        tools:text="person" />
+
+    <TextView
+        android:gravity="end"
+        android:layout_toRightOf="@+id/tv_left_title"
+        android:textColor="@color/black"
+        android:layout_alignParentEnd="true"
+        android:id="@+id/tv_right_content"
+        android:layout_width="wrap_content"
+        android:layout_height="wrap_content"
+        android:layout_marginEnd="@dimen/hor_text_view_text_margin_normal"
+        android:layout_marginStart="@dimen/hor_text_view_text_margin_normal"
+        android:layout_marginTop="@dimen/hor_text_view_text_margin_small"
+        android:textSize="@dimen/hor_text_view_text_size"
+        tools:text="12.5" />
+
+    <View
+        android:id="@+id/view_bottom_line"
+        android:layout_marginTop="@dimen/hor_text_view_text_margin_small"
+        android:layout_alignStart="@+id/tv_left_title"
+        android:layout_alignEnd="@+id/tv_right_content"
+        android:background="@color/gray"
+        android:layout_below="@+id/tv_left_title"
+        android:layout_height="0.5dp"
+        android:layout_width="match_parent"/>
+</RelativeLayout>

model_zoo/official/lite/car_classification/app/src/main/res/mipmap-anydpi-v26/ic_launcher.xml

@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="utf-8"?>
+<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
+    <background android:drawable="@color/ic_launcher_background"/>
+    <foreground android:drawable="@mipmap/ic_launcher_foreground"/>
+</adaptive-icon>

model_zoo/official/lite/car_classification/app/src/main/res/mipmap-anydpi-v26/ic_launcher_round.xml

@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="utf-8"?>
+<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
+    <background android:drawable="@color/ic_launcher_background"/>
+    <foreground android:drawable="@mipmap/ic_launcher_foreground"/>
+</adaptive-icon>

model_zoo/official/lite/car_classification/app/src/main/res/values/colors.xml

@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="utf-8"?>
+<resources>
+    <color name="colorPrimary">#303030</color>
+    <color name="colorPrimaryDark">#3700B3</color>
+    <color name="colorAccent">#03DAC5</color>
+
+    <color name="white">#ffffff</color>
+    <color name="black">#000000</color>
+    <color name="gray">#A69D9D</color>
+    <color name="gray_btn">#424242</color>
+
+    <color name="text_blue">#6DA7FF</color>
+    <color name="text_yellow">#F8E71C</color>
+    <color name="text_orange">#FF844D</color>
+    <color name="text_green">#66B50A</color>
+
+</resources>

model_zoo/official/lite/car_classification/app/src/main/res/values/dimens.xml

@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="utf-8"?>
+<resources>
+    <dimen name="ms_bottom_sheet_corner_radius">15dp</dimen>
+    <dimen name="ms_bottom_sheet_top_padding">8dp</dimen>
+
+    <dimen name="hor_text_view_text_margin_normal">15dp</dimen>
+    <dimen name="hor_text_view_text_margin_small">6dp</dimen>
+    <dimen name="hor_text_view_text_size">15sp</dimen>
+</resources>

model_zoo/official/lite/car_classification/app/src/main/res/values/ic_launcher_background.xml

@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="utf-8"?>
+<resources>
+    <color name="ic_launcher_background">#FFFFFF</color>
+</resources>

model_zoo/official/lite/car_classification/app/src/main/res/values/strings.xml

@@ -0,0 +1,32 @@
+<resources>
+    <string name="app_name">CarClassification</string>
+    <string name="action_settings">设置</string>
+
+    <string name="request_permission">This sample needs camera permission.</string>
+    <string name="camera_error">This device doesn\'t support Camera2 API.</string>
+    <string name="intro_message">使用的google的camera2demo.</string>
+    <string name="appwidget_text">EXAMPLE</string>
+    <string name="add_widget">Add widget</string>
+
+    <string name="image_invalid">The image path you selected is not valid. Please choose again</string>
+    <string name="train_invalid">Sorry, there is no object identified in this picture. Try another picture</string>
+
+    <string name="ms_ic_app_name" translation_description="Image Classification demo app [CHAR_LIMIT=40]">TFL Classify</string>
+    <string name="ms_ic_camera_error" translation_description="Error regarding camera support[CHAR_LIMIT=40]">This device doesn\'t support Camera2 API.</string>
+    <string name="ms_ic_gpu_quant_error" translation_description="Error regarding GPU support for Quant models[CHAR_LIMIT=60]">GPU does not yet supported quantized models.</string>
+    <string name="ms_ic_model" translatable="false">Model:</string>
+    <string-array name="ms_ic_models" translatable="false">
+        <item>Quantized_EfficientNet</item>
+        <item>Float_EfficientNet</item>
+        <item>Quantized_MobileNet</item>
+        <item>Float_MobileNet</item>
+    </string-array>
+
+    <string name="ms_ic_device" translatable="false">Device:</string>
+    <string-array name="ms_ic_devices" translatable="false">
+        <item>CPU</item>
+        <item>GPU</item>
+        <item>NNAPI</item>
+    </string-array>
+
+</resources>

model_zoo/official/lite/car_classification/app/src/main/res/values/styles.xml

@@ -0,0 +1,10 @@
+<resources>
+    <!-- Base application theme. -->
+    <style name="AppTheme" parent="Theme.AppCompat.Light.NoActionBar">
+        <!-- Customize your theme here. -->
+        <item name="colorPrimary">@color/colorPrimary</item>
+        <item name="colorPrimaryDark">@color/colorPrimaryDark</item>
+        <item name="colorAccent">@color/colorAccent</item>
+    </style>
+
+</resources>

model_zoo/official/lite/car_classification/app/src/main/res/xml/file_paths.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="utf-8"?>
+<paths>
+    <external-path
+        name="external_files"
+        path="." />
+</paths>

model_zoo/official/lite/car_classification/app/src/test/java/com/mindspore/classificationforcar/ExampleUnitTest.java

@@ -0,0 +1,33 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.mindspore.classificationforcar;
+
+import org.junit.Test;
+
+import static org.junit.Assert.*;
+
+/**
+ * Example local unit test, which will execute on the development machine (host).
+ *
+ * @see <a href="http://d.android.com/tools/testing">Testing documentation</a>
+ */
+public class ExampleUnitTest {
+    @Test
+    public void addition_isCorrect() {
+        assertEquals(4, 2 + 2);
+    }
+}

model_zoo/official/lite/car_classification/build.gradle

@@ -0,0 +1,27 @@
+// Top-level build file where you can add configuration options common to all sub-projects/modules.
+buildscript {
+    repositories {
+        google()
+        jcenter()
+    }
+    dependencies {
+        classpath "com.android.tools.build:gradle:4.0.1"
+
+        // NOTE: Do not place your application dependencies here; they belong
+        // in the individual module build.gradle files
+    }
+}
+
+allprojects {
+    repositories {
+        maven {
+            url "https://mirrors.huaweicloud.com/repository/maven/"
+        }
+        google()
+        jcenter()
+    }
+}
+
+task clean(type: Delete) {
+    delete rootProject.buildDir
+}

model_zoo/official/lite/car_classification/gradle.properties

@@ -0,0 +1,20 @@
+# Project-wide Gradle settings.
+# IDE (e.g. Android Studio) users:
+# Gradle settings configured through the IDE *will override*
+# any settings specified in this file.
+# For more details on how to configure your build environment visit
+# http://www.gradle.org/docs/current/userguide/build_environment.html
+# Specifies the JVM arguments used for the daemon process.
+# The setting is particularly useful for tweaking memory settings.
+org.gradle.jvmargs=-Xmx2048m
+# When configured, Gradle will run in incubating parallel mode.
+# This option should only be used with decoupled projects. More details, visit
+# http://www.gradle.org/docs/current/userguide/multi_project_builds.html#sec:decoupled_projects
+# org.gradle.parallel=true
+# AndroidX package structure to make it clearer which packages are bundled with the
+# Android operating system, and which are packaged with your app"s APK
+# https://developer.android.com/topic/libraries/support-library/androidx-rn
+android.useAndroidX=true
+# Automatically convert third-party libraries to use AndroidX
+android.enableJetifier=true
+android.injected.testOnly=false

model_zoo/official/lite/car_classification/gradle/wrapper/gradle-wrapper.properties

@@ -0,0 +1,6 @@
+#Tue Jul 28 10:28:05 CST 2020
+distributionBase=GRADLE_USER_HOME
+distributionPath=wrapper/dists
+zipStoreBase=GRADLE_USER_HOME
+zipStorePath=wrapper/dists
+distributionUrl=https\://services.gradle.org/distributions/gradle-6.1.1-all.zip

model_zoo/official/lite/car_classification/gradlew

@@ -0,0 +1,172 @@
+#!/usr/bin/env sh
+
+##############################################################################
+##
+##  Gradle start up script for UN*X
+##
+##############################################################################
+
+# Attempt to set APP_HOME
+# Resolve links: $0 may be a link
+PRG="$0"
+# Need this for relative symlinks.
+while [ -h "$PRG" ] ; do
+    ls=`ls -ld "$PRG"`
+    link=`expr "$ls" : '.*-> \(.*\)$'`
+    if expr "$link" : '/.*' > /dev/null; then
+        PRG="$link"
+    else
+        PRG=`dirname "$PRG"`"/$link"
+    fi
+done
+SAVED="`pwd`"
+cd "`dirname \"$PRG\"`/" >/dev/null
+APP_HOME="`pwd -P`"
+cd "$SAVED" >/dev/null
+
+APP_NAME="Gradle"
+APP_BASE_NAME=`basename "$0"`
+
+# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+DEFAULT_JVM_OPTS=""
+
+# Use the maximum available, or set MAX_FD != -1 to use that value.
+MAX_FD="maximum"
+
+warn () {
+    echo "$*"
+}
+
+die () {
+    echo
+    echo "$*"
+    echo
+    exit 1
+}
+
+# OS specific support (must be 'true' or 'false').
+cygwin=false
+msys=false
+darwin=false
+nonstop=false
+case "`uname`" in
+  CYGWIN* )
+    cygwin=true
+    ;;
+  Darwin* )
+    darwin=true
+    ;;
+  MINGW* )
+    msys=true
+    ;;
+  NONSTOP* )
+    nonstop=true
+    ;;
+esac
+
+CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
+
+# Determine the Java command to use to start the JVM.
+if [ -n "$JAVA_HOME" ] ; then
+    if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
+        # IBM's JDK on AIX uses strange locations for the executables
+        JAVACMD="$JAVA_HOME/jre/sh/java"
+    else
+        JAVACMD="$JAVA_HOME/bin/java"
+    fi
+    if [ ! -x "$JAVACMD" ] ; then
+        die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+    fi
+else
+    JAVACMD="java"
+    which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+fi
+
+# Increase the maximum file descriptors if we can.
+if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
+    MAX_FD_LIMIT=`ulimit -H -n`
+    if [ $? -eq 0 ] ; then
+        if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
+            MAX_FD="$MAX_FD_LIMIT"
+        fi
+        ulimit -n $MAX_FD
+        if [ $? -ne 0 ] ; then
+            warn "Could not set maximum file descriptor limit: $MAX_FD"
+        fi
+    else
+        warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
+    fi
+fi
+
+# For Darwin, add options to specify how the application appears in the dock
+if $darwin; then
+    GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
+fi
+
+# For Cygwin, switch paths to Windows format before running java
+if $cygwin ; then
+    APP_HOME=`cygpath --path --mixed "$APP_HOME"`
+    CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
+    JAVACMD=`cygpath --unix "$JAVACMD"`
+
+    # We build the pattern for arguments to be converted via cygpath
+    ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
+    SEP=""
+    for dir in $ROOTDIRSRAW ; do
+        ROOTDIRS="$ROOTDIRS$SEP$dir"
+        SEP="|"
+    done
+    OURCYGPATTERN="(^($ROOTDIRS))"
+    # Add a user-defined pattern to the cygpath arguments
+    if [ "$GRADLE_CYGPATTERN" != "" ] ; then
+        OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
+    fi
+    # Now convert the arguments - kludge to limit ourselves to /bin/sh
+    i=0
+    for arg in "$@" ; do
+        CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
+        CHECK2=`echo "$arg"|egrep -c "^-"`                                 ### Determine if an option
+
+        if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then                    ### Added a condition
+            eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
+        else
+            eval `echo args$i`="\"$arg\""
+        fi
+        i=$((i+1))
+    done
+    case $i in
+        (0) set -- ;;
+        (1) set -- "$args0" ;;
+        (2) set -- "$args0" "$args1" ;;
+        (3) set -- "$args0" "$args1" "$args2" ;;
+        (4) set -- "$args0" "$args1" "$args2" "$args3" ;;
+        (5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
+        (6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
+        (7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
+        (8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
+        (9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
+    esac
+fi
+
+# Escape application args
+save () {
+    for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
+    echo " "
+}
+APP_ARGS=$(save "$@")
+
+# Collect all arguments for the java command, following the shell quoting and substitution rules
+eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
+
+# by default we should be in the correct project dir, but when run from Finder on Mac, the cwd is wrong
+if [ "$(uname)" = "Darwin" ] && [ "$HOME" = "$PWD" ]; then
+  cd "$(dirname "$0")"
+fi
+
+exec "$JAVACMD" "$@"

model_zoo/official/lite/car_classification/gradlew.bat

@@ -0,0 +1,84 @@
+@if "%DEBUG%" == "" @echo off
+@rem ##########################################################################
+@rem
+@rem  Gradle startup script for Windows
+@rem
+@rem ##########################################################################
+
+@rem Set local scope for the variables with windows NT shell
+if "%OS%"=="Windows_NT" setlocal
+
+set DIRNAME=%~dp0
+if "%DIRNAME%" == "" set DIRNAME=.
+set APP_BASE_NAME=%~n0
+set APP_HOME=%DIRNAME%
+
+@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+set DEFAULT_JVM_OPTS=
+
+@rem Find java.exe
+if defined JAVA_HOME goto findJavaFromJavaHome
+
+set JAVA_EXE=java.exe
+%JAVA_EXE% -version >NUL 2>&1
+if "%ERRORLEVEL%" == "0" goto init
+
+echo.
+echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
+echo.
+echo Please set the JAVA_HOME variable in your environment to match the
+echo location of your Java installation.
+
+goto fail
+
+:findJavaFromJavaHome
+set JAVA_HOME=%JAVA_HOME:"=%
+set JAVA_EXE=%JAVA_HOME%/bin/java.exe
+
+if exist "%JAVA_EXE%" goto init
+
+echo.
+echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
+echo.
+echo Please set the JAVA_HOME variable in your environment to match the
+echo location of your Java installation.
+
+goto fail
+
+:init
+@rem Get command-line arguments, handling Windows variants
+
+if not "%OS%" == "Windows_NT" goto win9xME_args
+
+:win9xME_args
+@rem Slurp the command line arguments.
+set CMD_LINE_ARGS=
+set _SKIP=2
+
+:win9xME_args_slurp
+if "x%~1" == "x" goto execute
+
+set CMD_LINE_ARGS=%*
+
+:execute
+@rem Setup the command line
+
+set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
+
+@rem Execute Gradle
+"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %CMD_LINE_ARGS%
+
+:end
+@rem End local scope for the variables with windows NT shell
+if "%ERRORLEVEL%"=="0" goto mainEnd
+
+:fail
+rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
+rem the _cmd.exe /c_ return code!
+if  not "" == "%GRADLE_EXIT_CONSOLE%" exit 1
+exit /b 1
+
+:mainEnd
+if "%OS%"=="Windows_NT" endlocal
+
+:omega

model_zoo/official/lite/car_classification/settings.gradle

@@ -0,0 +1,2 @@
+include ':app'
+rootProject.name = "CarClassification"