使用谷歌提供的tflite模型编译成功，并在手机上进行了测试。基本能达到实时的速度

.gitignore

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+*.iml
+.gradle
+/local.properties
+/.idea/libraries
+/.idea/modules.xml
+/.idea/workspace.xml
+.DS_Store
+/build
+app/build
+/captures
+.externalNativeBuild
+
+/.gradle/
+/.idea/
+*.apk
+*.tflite
+*.pb

README.md

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+# TensorFlow Lite Object Detection Android Demo
+### Overview
+This is a camera app that continuously detects the objects (bounding boxes and classes) in the frames seen by your device's back camera, using a quantized [MobileNet SSD](https://github.com/tensorflow/models/tree/master/research/object_detection) model trained on the [COCO dataset](http://cocodataset.org/). These instructions walk you through building and running the demo on an Android device.
+
+The model files are downloaded via Gradle scripts when you build and run. You don't need to do any steps to download TFLite models into the project explicitly.
+
+Application can run either on device or emulator.
+
+<!-- TODO(b/124116863): Add app screenshot. -->
+
+## Build the demo using Android Studio
+
+### Prerequisites
+
+* If you don't have already, install **[Android Studio](https://developer.android.com/studio/index.html)**, following the instructions on the website.
+
+* You need an Android device and Android development environment with minimum API 21.
+* Android Studio 3.2 or later.
+
+### Building
+* Open Android Studio, and from the Welcome screen, select Open an existing Android Studio project.
+
+* From the Open File or Project window that appears, navigate to and select the tensorflow-lite/examples/object_detection/android directory from wherever you cloned the TensorFlow Lite sample GitHub repo. Click OK.
+
+* If it asks you to do a Gradle Sync, click OK.
+
+* You may also need to install various platforms and tools, if you get errors like "Failed to find target with hash string 'android-21'" and similar.
+Click the Run button (the green arrow) or select Run > Run 'android' from the top menu. You may need to rebuild the project using Build > Rebuild Project.
+
+* If it asks you to use Instant Run, click Proceed Without Instant Run.
+
+* Also, you need to have an Android device plugged in with developer options enabled at this point. See **[here](https://developer.android.com/studio/run/device)** for more details on setting up developer devices.
+
+
+### Model used
+Downloading, extraction and placing it in assets folder has been managed automatically by download.gradle.
+
+If you explicitly want to download the model, you can download from **[here](http://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip)**. Extract the zip to get the .tflite and label file.
+
+### Additional Note
+_Please do not delete the assets folder content_. If you explicitly deleted the files, then please choose *Build*->*Rebuild* from menu to re-download the deleted model files into assets folder.

app/.gitignore

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+/build
+/build/

app/build.gradle

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

app/download_model.gradle

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