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提交 0655709e 编写于 作者: H HydrogenSulfate
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release shitu android demo

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deploy/shitu_android_demo/app/app.iml 0 → 100644
浏览文件 @ 0655709e
<?xml version="1.0" encoding="UTF-8"?>
<module external.linked.project.id=":app" external.linked.project.path="$MODULE_DIR$" external.root.project.path="$MODULE_DIR$/.." external.system.id="GRADLE" type="JAVA_MODULE" version="4">
<component name="FacetManager">
<facet type="android-gradle" name="Android-Gradle">
<configuration>
<option name="GRADLE_PROJECT_PATH" value=":app" />
</configuration>
</facet>
<facet type="native-android-gradle" name="Native-Android-Gradle">
<configuration>
<option name="SELECTED_BUILD_VARIANT" value="debug-arm64-v8a" />
</configuration>
</facet>
<facet type="android" name="Android">
<configuration>
<option name="SELECTED_BUILD_VARIANT" value="debug" />
<option name="ASSEMBLE_TASK_NAME" value="assembleDebug" />
<option name="COMPILE_JAVA_TASK_NAME" value="compileDebugSources" />
<afterSyncTasks>
<task>generateDebugSources</task>
</afterSyncTasks>
<option name="ALLOW_USER_CONFIGURATION" value="false" />
<option name="MANIFEST_FILE_RELATIVE_PATH" value="/src/main/AndroidManifest.xml" />
<option name="RES_FOLDER_RELATIVE_PATH" value="/src/main/res" />
<option name="RES_FOLDERS_RELATIVE_PATH" value="file://$MODULE_DIR$/src/main/res" />
<option name="TEST_RES_FOLDERS_RELATIVE_PATH" value="" />
<option name="ASSETS_FOLDER_RELATIVE_PATH" value="/src/main/assets" />
</configuration>
</facet>
</component>
<component name="NewModuleRootManager" LANGUAGE_LEVEL="JDK_1_7">
<output url="file://$MODULE_DIR$/build/intermediates/javac/debug/compileDebugJavaWithJavac/classes" />
<output-test url="file://$MODULE_DIR$/build/intermediates/javac/debugUnitTest/compileDebugUnitTestJavaWithJavac/classes" />
<exclude-output />
<content url="file://$MODULE_DIR$">
<sourceFolder url="file://$MODULE_DIR$/src/main/cpp" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/source/apt/debug" isTestSource="false" generated="true" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/aidl_source_output_dir/debug/compileDebugAidl/out" isTestSource="false" generated="true" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/source/buildConfig/debug" isTestSource="false" generated="true" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/renderscript_source_output_dir/debug/compileDebugRenderscript/out" isTestSource="false" generated="true" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/res/rs/debug" type="java-resource" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/res/resValues/debug" type="java-resource" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/source/apt/androidTest/debug" isTestSource="true" generated="true" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/aidl_source_output_dir/debugAndroidTest/compileDebugAndroidTestAidl/out" isTestSource="true" generated="true" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/source/buildConfig/androidTest/debug" isTestSource="true" generated="true" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/renderscript_source_output_dir/debugAndroidTest/compileDebugAndroidTestRenderscript/out" isTestSource="true" generated="true" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/res/rs/androidTest/debug" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/res/resValues/androidTest/debug" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/build/generated/source/apt/test/debug" isTestSource="true" generated="true" />
<sourceFolder url="file://$MODULE_DIR$/src/debug/res" type="java-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/debug/resources" type="java-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/debug/assets" type="java-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/debug/aidl" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src/debug/java" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src/debug/jni" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src/debug/rs" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src/debug/shaders" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/res" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/resources" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/assets" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/aidl" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/java" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/jni" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/rs" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/shaders" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/testDebug/res" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/testDebug/resources" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/testDebug/assets" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/testDebug/aidl" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/testDebug/java" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/testDebug/jni" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/testDebug/rs" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/testDebug/shaders" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/main/res" type="java-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/main/resources" type="java-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/main/assets" type="java-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/main/aidl" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src/main/java" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src/main/jni" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src/main/rs" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src/main/shaders" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/res" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/resources" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/assets" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/aidl" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/java" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/jni" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/rs" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/shaders" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/test/res" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/test/resources" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/test/assets" type="java-test-resource" />
<sourceFolder url="file://$MODULE_DIR$/src/test/aidl" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/test/java" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/test/jni" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/test/rs" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/src/test/shaders" isTestSource="true" />
<excludeFolder url="file://$MODULE_DIR$/.externalNativeBuild" />
<excludeFolder url="file://$MODULE_DIR$/build/generated/not_namespaced_r_class_sources" />
<excludeFolder url="file://$MODULE_DIR$/build/generated/source/r" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/annotation_processor_list" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/apk_list" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/blame" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/bundle_manifest" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/check_manifest_result" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/cmake" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/compatible_screen_manifest" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/dex" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/duplicate_classes_check" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/external_libs_dex" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/incremental" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/instant_app_manifest" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/instant_run_merged_manifests" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/javac" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/lint_jar" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/merged_assets" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/merged_jni_libs" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/merged_manifests" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/merged_shaders" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/metadata_feature_manifest" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/prebuild" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/processed_res" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/res" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/shader_assets" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/signing_config" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/symbols" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/transforms" />
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/validate_signing_config" />
<excludeFolder url="file://$MODULE_DIR$/build/outputs" />
<excludeFolder url="file://$MODULE_DIR$/build/tmp" />
</content>
<orderEntry type="jdk" jdkName="Android API 28 Platform" jdkType="Android SDK" />
<orderEntry type="sourceFolder" forTests="false" />
<orderEntry type="library" name="Gradle: com.android.support:design:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:support-fragment:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:localbroadcastmanager:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:documentfile:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:animated-vector-drawable:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:slidingpanelayout:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: android.arch.lifecycle:viewmodel:1.1.1@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:appcompat-v7:28.0.0@aar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: com.android.support.test.espresso:espresso-idling-resource:3.0.2@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:loader:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: android.arch.core:runtime:1.1.1@aar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: com.android.support.test:runner:1.0.2@aar" level="project" />
<orderEntry type="library" name="Gradle: android.arch.lifecycle:livedata-core:1.1.1@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:collections:28.0.0@jar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: com.squareup:javawriter:2.1.1@jar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:cursoradapter:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: android.arch.lifecycle:runtime:1.1.1@aar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: com.android.support.test.espresso:espresso-core:3.0.2@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:support-compat:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:support-core-ui:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:cardview-v7:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:asynclayoutinflater:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support.constraint:constraint-layout:1.1.3@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:print:28.0.0@aar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: com.google.code.findbugs:jsr305:2.0.1@jar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: javax.inject:javax.inject:1@jar" level="project" />
<orderEntry type="library" name="Gradle: android.arch.core:common:1.1.1@jar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:versionedparcelable:28.0.0@aar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: junit:junit:4.12@jar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: org.hamcrest:hamcrest-core:1.3@jar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:viewpager:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:support-core-utils:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:recyclerview-v7:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:support-vector-drawable:28.0.0@aar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: com.android.support.test:monitor:1.0.2@aar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: org.hamcrest:hamcrest-library:1.3@jar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: org.hamcrest:hamcrest-integration:1.3@jar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:support-annotations:28.0.0@jar" level="project" />
<orderEntry type="library" name="Gradle: android.arch.lifecycle:common:1.1.1@jar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:interpolator:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:transition:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: android.arch.lifecycle:livedata:1.1.1@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:drawerlayout:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:coordinatorlayout:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:customview:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support:swiperefreshlayout:28.0.0@aar" level="project" />
<orderEntry type="library" name="Gradle: com.android.support.constraint:constraint-layout-solver:1.1.3@jar" level="project" />
<orderEntry type="library" scope="TEST" name="Gradle: net.sf.kxml:kxml2:2.3.0@jar" level="project" />
</component>
</module>
\ No newline at end of file
deploy/shitu_android_demo/app/build.gradle 0 → 100644
浏览文件 @ 0655709e
import java.security.MessageDigest
apply plugin: 'com.android.application'
android {
compileSdkVersion 30
defaultConfig {
applicationId "com.baidu.paddle.lite.demo.pp_shitu"
minSdkVersion 15
targetSdkVersion 30
versionCode 1
versionName "1.0"
testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner"
externalNativeBuild {
cmake {
arguments '-DANDROID_PLATFORM=android-23', '-DANDROID_STL=c++_shared', "-DANDROID_TOOLCHAIN="
abiFilters 'arm64-v8a'
cppFlags "-std=c++11"
}
}
}
buildTypes {
release {
minifyEnabled false
proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
}
}
externalNativeBuild {
cmake {
path "src/main/cpp/CMakeLists.txt"
version "3.18.1"
}
}
}
dependencies {
implementation fileTree(include: ['*.jar'], dir: 'libs')
implementation 'com.android.support:appcompat-v7:28.0.0'
implementation 'com.android.support.constraint:constraint-layout:1.1.3'
implementation 'com.android.support:design:28.0.0'
testImplementation 'junit:junit:4.12'
androidTestImplementation 'com.android.support.test:runner:1.0.2'
androidTestImplementation 'com.android.support.test.espresso:espresso-core:3.0.2'
}
tasks.withType(JavaCompile) {
options.encoding = "UTF-8"
}
def archives = [
[
'src' : 'https://paddlelite-demo.bj.bcebos.com/libs/android/paddle_lite_libs_v2_10_gpu.tar.gz',
'dest': 'PaddleLite'
],
[
'src' : 'https://paddlelite-demo.bj.bcebos.com/libs/android/opencv-4.2.0-android-sdk.tar.gz',
'dest': 'OpenCV'
],
[
'src' : 'https://paddlelite-demo.bj.bcebos.com/demo/PP_shitu/models/ppshitu_lite_models_v1.0.tar.gz',
'dest' : 'src/main/assets/models'
]
]
task downloadAndExtractArchives(type: DefaultTask) {
doFirst {
println "Downloading and extracting archives including libs and models"
}
doLast {
// Prepare cache folder for archives
String cachePath = "cache"
if (!file("${cachePath}").exists()) {
mkdir "${cachePath}"
}
archives.eachWithIndex { archive, index ->
MessageDigest messageDigest = MessageDigest.getInstance('MD5')
messageDigest.update(archive.src.bytes)
String cacheName = new BigInteger(1, messageDigest.digest()).toString(32)
// Download the target archive if not exists
boolean copyFiles = !file("${archive.dest}").exists()
if (!file("${cachePath}/${cacheName}.tar.gz").exists()) {
ant.get(src: archive.src, dest: file("${cachePath}/${cacheName}.tar.gz"))
copyFiles = true; // force to copy files from the latest archive files
}
// Extract the target archive if its dest path does not exists
if (copyFiles) {
copy {
from tarTree("${cachePath}/${cacheName}.tar.gz")
into "${archive.dest}"
}
}
}
}
}
preBuild.dependsOn downloadAndExtractArchives
deploy/shitu_android_demo/app/proguard-rules.pro 0 → 100644
浏览文件 @ 0655709e
# 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
deploy/shitu_android_demo/app/src/androidTest/java/com/baidu/paddle/lite/demo/pp_shitu/ExampleInstrumentedTest.java 0 → 100644
浏览文件 @ 0655709e
package com.baidu.paddle.lite.demo.pp_shitu;
import android.content.Context;
import android.support.test.InstrumentationRegistry;
import android.support.test.runner.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.getTargetContext();
assertEquals("com.baidu.paddle.lite.demo", appContext.getPackageName());
}
}
deploy/shitu_android_demo/app/src/main/AndroidManifest.xml 0 → 100644
浏览文件 @ 0655709e
<?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.baidu.paddle.lite.demo.pp_shitu">
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"
tools:ignore="ScopedStorage" />
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE"/>
<uses-permission android:name="android.permission.CAMERA"/>
<uses-feature android:name="android.hardware.camera" />
<uses-feature android:name="android.hardware.camera.autofocus" android:required="false"/>
<application
android:allowBackup="true"
android:icon="@mipmap/ic_launcher"
android:label="@string/app_name"
android:roundIcon="@mipmap/ic_launcher_round"
android:supportsRtl="true"
android:theme="@style/AppTheme">
<activity android:name="com.baidu.paddle.lite.demo.pp_shitu.MainActivity"
android:exported="true">
<intent-filter>
<action android:name="android.intent.action.MAIN"/>
<category android:name="android.intent.category.LAUNCHER"/>
</intent-filter>
</activity>
<activity
android:name="com.baidu.paddle.lite.demo.pp_shitu.SettingsActivity"
android:label="Settings">
</activity>
</application>
</manifest>
\ No newline at end of file
deploy/shitu_android_demo/app/src/main/assets/index/README.md 0 → 100644
浏览文件 @ 0655709e
put `*.index` and `*.txt` here. such as `original.index` and `original.txt`
deploy/shitu_android_demo/app/src/main/assets/models/README.md 0 → 100644
浏览文件 @ 0655709e
put `*.nb` inference model file there. such as `general_PPLCNetV2_base_quant_v1.0_lite.nb` and `mainbody_PPLCNet_x2_5_640_v1.2_lite.nb`
deploy/shitu_android_demo/app/src/main/cpp/CMakeLists.txt 0 → 100644
浏览文件 @ 0655709e
# 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.
#project(ShituDemo)
cmake_minimum_required(VERSION 3.4.1)
# 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.
set(PaddleLite_DIR "${CMAKE_CURRENT_SOURCE_DIR}/../../../PaddleLite")
include_directories(${PaddleLite_DIR}/cxx/include)
set(OpenCV_DIR "${CMAKE_CURRENT_SOURCE_DIR}/../../../OpenCV/sdk/native/jni")
find_package(OpenCV REQUIRED)
message(STATUS "OpenCV libraries: ${OpenCV_LIBS}")
include_directories(${OpenCV_INCLUDE_DIRS})
#set(PaddleLite_DIR "${CMAKE_CURRENT_SOURCE_DIR}/../../../PaddleLite")
include_directories(${CMAKE_CURRENT_SOURCE_DIR}/../../../PaddleLite/src/main/cpp/include/faiss)
set(target faiss)
set(CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS} -ffast-math -Ofast -Os -DNDEBUG -fexceptions -fomit-frame-pointer -fno-asynchronous-unwind-tables -fno-unwind-tables"
)
set(CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS} -fvisibility=hidden -fvisibility-inlines-hidden -fdata-sections -ffunction-sections"
)
set(CMAKE_SHARED_LINKER_FLAGS
"${CMAKE_SHARED_LINKER_FLAGS} -Wl,--gc-sections -Wl,-z,nocopyreloc")
add_library(
# Sets the name of the library.
Native
# Sets the library as a shared library.
SHARED
# Provides a relative path to your source file(s).
Native.cc Pipeline.cc Utils.cc ObjectDetector.cc FeatureExtractor.cc VectorSearch.cc)
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)
add_library(
# Sets the name of the library.
paddle_light_api_shared
# Sets the library as a shared library.
SHARED
# Provides a relative path to your source file(s).
IMPORTED)
add_library(
# Sets the name of the library.
faiss
STATIC
IMPORTED)
set_target_properties(
# Specifies the target library.
paddle_light_api_shared
# Specifies the parameter you want to define.
PROPERTIES
IMPORTED_LOCATION
${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libpaddle_light_api_shared.so
# Provides the path to the library you want to import.
)
# if there libfaiss.a not exist, will download it automatically
IF(NOT ${CMAKE_CURRENT_SOURCE_DIR}/../../../src/main/jniLibs/arm64-v8a/libfaiss.a)
message(STATUS "Downloading ${OCI_LIB_ZIP_NAME} to ${CMAKE_CURRENT_SOURCE_DIR}/../../../src/main/jniLibs/arm64-v8a/")
FILE(DOWNLOAD https://paddle-imagenet-models-name.bj.bcebos.com/demos/lib/libfaiss.a
${CMAKE_CURRENT_SOURCE_DIR}/../../../src/main/jniLibs/arm64-v8a/libfaiss.a
TIMEOUT ${DOWNLOAD_OCI_LIB_TIMEOUT}
STATUS ERR
SHOW_PROGRESS)
ENDIF()
set_target_properties(
faiss
PROPERTIES
IMPORTED_LOCATION
${CMAKE_CURRENT_SOURCE_DIR}/../../../src/main/jniLibs/arm64-v8a/libfaiss.a
)
# 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.
target_link_libraries(
# Specifies the target library.
Native
paddle_light_api_shared
jnigraphics
${OpenCV_LIBS}
GLESv2
EGL
${log-lib}
faiss
)
deploy/shitu_android_demo/app/src/main/cpp/FeatureExtractor.cc 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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 "FeatureExtractor.h" // NOLINT
#include <utility> // NOLINT
void FeatureExtract::RunRecModel(const cv::Mat &img, double &cost_time,
std::vector<float> &feature) {
// Read img
cv::Mat img_fp;
ResizeImage(img, img_fp);
NormalizeImage(&img_fp, this->mean_, this->std_, this->scale_);
std::vector<float> input(1 * 3 * img_fp.rows * img_fp.cols, 0.0f);
Permute(&img_fp, input.data());
auto pre_cost0 = GetCurrentUS();
// Prepare input data from image
std::unique_ptr<Tensor> input_tensor(
std::move(this->predictor_->GetInput(0)));
input_tensor->Resize({1, 3, this->size, this->size});
auto *data0 = input_tensor->mutable_data<float>();
for (int i = 0; i < input.size(); ++i) {
data0[i] = input[i];
}
auto start = std::chrono::system_clock::now();
// Run predictor
this->predictor_->Run();
// Get output and post process
std::unique_ptr<const Tensor> output_tensor(
std::move(this->predictor_->GetOutput(0)));
auto end = std::chrono::system_clock::now();
auto duration =
std::chrono::duration_cast<std::chrono::microseconds>(end - start);
cost_time = double(duration.count()) *
std::chrono::microseconds::period::num /
std::chrono::microseconds::period::den;
// do postprocess
int output_size = 1;
for (auto dim : output_tensor->shape()) {
output_size *= dim;
}
feature.resize(output_size);
output_tensor->CopyToCpu(feature.data());
// postprocess include sqrt or binarize.
FeatureNorm(feature);
}
void FeatureExtract::FeatureNorm(std::vector<float> &feature) {
float feature_sqrt = std::sqrt(std::inner_product(
feature.begin(), feature.end(), feature.begin(), 0.0f));
for (int i = 0; i < feature.size(); ++i) {
feature[i] /= feature_sqrt;
}
}
void FeatureExtract::Permute(const cv::Mat *im, float *data) {
int rh = im->rows;
int rw = im->cols;
int rc = im->channels();
for (int i = 0; i < rc; ++i) {
cv::extractChannel(*im, cv::Mat(rh, rw, CV_32FC1, data + i * rh * rw), i);
}
}
void FeatureExtract::ResizeImage(const cv::Mat &img, cv::Mat &resize_img) {
cv::resize(img, resize_img, cv::Size(this->size, this->size));
}
void FeatureExtract::NormalizeImage(cv::Mat *im, const std::vector<float> &mean,
const std::vector<float> &std,
float scale) {
(*im).convertTo(*im, CV_32FC3, scale);
for (int h = 0; h < im->rows; h++) {
for (int w = 0; w < im->cols; w++) {
im->at<cv::Vec3f>(h, w)[0] =
(im->at<cv::Vec3f>(h, w)[0] - mean[0]) / std[0];
im->at<cv::Vec3f>(h, w)[1] =
(im->at<cv::Vec3f>(h, w)[1] - mean[1]) / std[1];
im->at<cv::Vec3f>(h, w)[2] =
(im->at<cv::Vec3f>(h, w)[2] - mean[2]) / std[2];
}
}
}
deploy/shitu_android_demo/app/src/main/cpp/FeatureExtractor.h 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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.
#pragma once
#include "Utils.h" // NOLINT
#include "numeric"
#include "paddle_api.h" // NOLINT
#include <arm_neon.h> // NOLINT
#include <fstream> // NOLINT
#include <iostream> // NOLINT
#include <math.h> // NOLINT
#include <memory> // NOLINT
#include <opencv2/opencv.hpp> // NOLINT
#include <stdlib.h> // NOLINT
#include <string> // NOLINT
#include <sys/time.h> // NOLINT
#include <vector> // NOLINT
using namespace paddle::lite_api; // NOLINT
using namespace std; // NOLINT
class FeatureExtract {
public: // NOLINT
explicit FeatureExtract(std::string model_path, std::vector<int> input_shape,
int cpu_nums, std::string cpu_power) {
MobileConfig config;
config.set_threads(cpu_nums);
config.set_power_mode(ParsePowerMode(cpu_power));
config.set_model_from_file(model_path);
this->predictor_ = CreatePaddlePredictor<MobileConfig>(config);
}
void RunRecModel(const cv::Mat &img, double &cost_time,
std::vector<float> &feature); // NOLINT
void FeatureNorm(std::vector<float> &feature);
void ResizeImage(const cv::Mat &img, cv::Mat &resize_img);
void Permute(const cv::Mat *im, float *data);
void NormalizeImage(cv::Mat *im, const std::vector<float> &mean,
const std::vector<float> &std, float scale);
private: // NOLINT
std::shared_ptr<PaddlePredictor> predictor_;
std::vector<float> mean_ = {0.485f, 0.456f, 0.406f};
std::vector<float> std_ = {0.229f, 0.224f, 0.225f};
double scale_ = 0.00392157; // 1/255.0
int size = 224;
};
deploy/shitu_android_demo/app/src/main/cpp/Native.cc 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// 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 "Native.h"
#include "Pipeline.h"
#include <android/bitmap.h>
#ifdef __cplusplus
extern "C" {
#endif
/*
* Class: Java_com_baidu_paddle_lite_demo_pp_1shitu_Native
* Method: nativeInit
* Signature:
* (Ljava/lang/String;Ljava/lang/String;ILjava/lang/String;II[F[FF)J
*/
JNIEXPORT jlong JNICALL
Java_com_baidu_paddle_lite_demo_pp_1shitu_Native_nativeInit(
JNIEnv *env, jclass thiz, jstring jDetModelDir, jstring jRecModelDir,
jstring jLabelPath, jstring jIndexPath, jlongArray jDetInputShape,
jlongArray jRecInputShape, jint cpuThreadNum, jint WarmUp, jint Repeats,
jint topk, jboolean jaddGallery, jstring cpu_power) {
std::string det_model_path = jstring_to_cpp_string(env, jDetModelDir);
std::string rec_model_path = jstring_to_cpp_string(env, jRecModelDir);
std::string label_path = jstring_to_cpp_string(env, jLabelPath);
std::string index_path = jstring_to_cpp_string(env, jIndexPath);
bool add_gallery = jaddGallery;
const std::string cpu_mode = jstring_to_cpp_string(env, cpu_power);
std::vector<int64_t> det_input_shape =
jlongarray_to_int64_vector(env, jDetInputShape);
std::vector<int64_t> rec_input_shape =
jlongarray_to_int64_vector(env, jRecInputShape);
std::vector<int> det_input_shape_int;
std::vector<int> rec_input_shape_int;
for (auto &tmp : det_input_shape)
det_input_shape_int.emplace_back(static_cast<int>(tmp));
for (auto &tmp : rec_input_shape)
rec_input_shape_int.emplace_back(static_cast<int>(tmp));
return reinterpret_cast<jlong>(
new PipeLine(det_model_path, rec_model_path, label_path, index_path,
det_input_shape_int, rec_input_shape_int, cpuThreadNum,
WarmUp, Repeats, topk, add_gallery, cpu_mode));
}
/*
* Class: Java_com_baidu_paddle_lite_demo_pp_1shitu_Native
* Method: nativeRelease
* Signature: (J)Z
*/
JNIEXPORT jboolean JNICALL
Java_com_baidu_paddle_lite_demo_pp_1shitu_Native_nativeRelease(JNIEnv *env,
jclass thiz,
jlong ctx) {
if (ctx == 0) {
return JNI_FALSE;
}
auto *pipeline = reinterpret_cast<PipeLine *>(ctx);
delete pipeline;
return JNI_TRUE;
}
JNIEXPORT jboolean JNICALL
Java_com_baidu_paddle_lite_demo_pp_1shitu_Native_nativesetAddGallery(
JNIEnv *env, jclass thiz, jlong ctx, jboolean flag) {
if (ctx == 0) {
return JNI_FALSE;
}
auto *pipeline = reinterpret_cast<PipeLine *>(ctx);
pipeline->set_add_gallery(flag);
return JNI_TRUE;
}
JNIEXPORT jboolean JNICALL
Java_com_baidu_paddle_lite_demo_pp_1shitu_Native_nativeclearGallery(JNIEnv *env,
jclass thiz,
jlong ctx) {
if (ctx == 0) {
return JNI_FALSE;
}
auto *pipeline = reinterpret_cast<PipeLine *>(ctx);
pipeline->ClearFeature();
return JNI_TRUE;
}
/*
* Class: Java_com_baidu_paddle_lite_demo_pp_1shitu_Native
* Method: nativeProcess
* Signature: (JIIIILjava/lang/String;)Z
*/
JNIEXPORT jstring JNICALL
Java_com_baidu_paddle_lite_demo_pp_1shitu_Native_nativeProcess(
JNIEnv *env, jclass thiz, jlong ctx, jobject jARGB8888ImageBitmap,
jstring jlabel_name) {
if (ctx == 0) {
return JNI_FALSE;
}
// Convert the android bitmap(ARGB8888) to the OpenCV RGBA image. Actually,
// the data layout of AGRB8888 is R, G, B, A, it's the same as CV RGBA image,
// so it is unnecessary to do the conversion of color format, check
// https://developer.android.com/reference/android/graphics/Bitmap.Config#ARGB_8888
// to get the more details about Bitmap.Config.ARGB8888
auto t = GetCurrentTime();
void *bitmapPixels;
AndroidBitmapInfo bitmapInfo;
if (AndroidBitmap_getInfo(env, jARGB8888ImageBitmap, &bitmapInfo) < 0) {
LOGE("Invoke AndroidBitmap_getInfo() failed!");
return JNI_FALSE;
}
if (bitmapInfo.format != ANDROID_BITMAP_FORMAT_RGBA_8888) {
LOGE("Only Bitmap.Config.ARGB8888 color format is supported!");
return JNI_FALSE;
}
if (AndroidBitmap_lockPixels(env, jARGB8888ImageBitmap, &bitmapPixels) < 0) {
LOGE("Invoke AndroidBitmap_lockPixels() failed!");
return JNI_FALSE;
}
cv::Mat bmpImage(bitmapInfo.height, bitmapInfo.width, CV_8UC4, bitmapPixels);
cv::Mat rgbaImage;
std::string label_name = jstring_to_cpp_string(env, jlabel_name);
bmpImage.copyTo(rgbaImage);
if (AndroidBitmap_unlockPixels(env, jARGB8888ImageBitmap) < 0) {
LOGE("Invoke AndroidBitmap_unlockPixels() failed!");
return JNI_FALSE;
}
LOGD("Read from bitmap costs %f ms", GetElapsedTime(t));
auto *pipeline = reinterpret_cast<PipeLine *>(ctx);
std::vector<cv::Mat> input_mat;
std::vector<ObjectResult> out_object;
cv::Mat rgb_input;
cv::cvtColor(rgbaImage, rgb_input, cv::COLOR_RGBA2RGB);
input_mat.emplace_back(rgb_input);
std::string res_str = pipeline->run(input_mat, out_object, 1, label_name);
bool modified = res_str.empty();
if (!modified) {
cv::Mat res_img;
cv::cvtColor(input_mat[0], res_img, cv::COLOR_RGB2RGBA);
// Convert the OpenCV RGBA image to the android bitmap(ARGB8888)
if (res_img.type() != CV_8UC4) {
LOGE("Only CV_8UC4 color format is supported!");
return JNI_FALSE;
}
t = GetCurrentTime();
if (AndroidBitmap_lockPixels(env, jARGB8888ImageBitmap, &bitmapPixels) <
0) {
LOGE("Invoke AndroidBitmap_lockPixels() failed!");
return JNI_FALSE;
}
cv::Mat bmpImage(bitmapInfo.height, bitmapInfo.width, CV_8UC4,
bitmapPixels);
res_img.copyTo(bmpImage);
if (AndroidBitmap_unlockPixels(env, jARGB8888ImageBitmap) < 0) {
LOGE("Invoke AndroidBitmap_unlockPixels() failed!");
return JNI_FALSE;
}
LOGD("Write to bitmap costs %f ms", GetElapsedTime(t));
}
return cpp_string_to_jstring(env, res_str);
}
#ifdef __cplusplus
}
#endif
extern "C" JNIEXPORT jboolean JNICALL
Java_com_baidu_paddle_lite_demo_pp_1shitu_Native_nativesaveIndex(
JNIEnv *env, jclass clazz, jlong ctx, jstring jsave_file_name) {
// TODO: implement nativesaveIndex()
if (ctx == 0) {
return JNI_FALSE;
}
auto *pipeline = reinterpret_cast<PipeLine *>(ctx);
std::string save_file_name = jstring_to_cpp_string(env, jsave_file_name);
pipeline->SaveIndex(save_file_name);
return JNI_TRUE;
}
extern "C" JNIEXPORT jboolean JNICALL
Java_com_baidu_paddle_lite_demo_pp_1shitu_Native_nativeloadIndex(
JNIEnv *env, jclass clazz, jlong ctx, jstring jload_file_name) {
// TODO: implement nativeloadIndex()
if (ctx == 0) {
return JNI_FALSE;
}
auto *pipeline = reinterpret_cast<PipeLine *>(ctx);
std::string load_file_name = jstring_to_cpp_string(env, jload_file_name);
bool load_flag = pipeline->LoadIndex(load_file_name);
return JNI_TRUE && load_flag;
}
extern "C" JNIEXPORT jstring JNICALL
Java_com_baidu_paddle_lite_demo_pp_1shitu_Native_nativegetClassname(
JNIEnv *env, jclass clazz, jlong ctx) {
// TODO: implement nativegetClassname()
if (ctx == 0) {
return JNI_FALSE;
}
auto *pipeline = reinterpret_cast<PipeLine *>(ctx);
std::string class_name_content = pipeline->GetLabelList();
return cpp_string_to_jstring(env, class_name_content);
}
\ No newline at end of file
deploy/shitu_android_demo/app/src/main/cpp/Native.h 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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.
#pragma once
#include <jni.h>
#include <string>
#include <vector>
inline std::string jstring_to_cpp_string(JNIEnv *env, jstring jstr) {
// In java, a unicode char will be encoded using 2 bytes (utf16).
// so jstring will contain characters utf16. std::string in c++ is
// essentially a string of bytes, not characters, so if we want to
// pass jstring from JNI to c++, we have convert utf16 to bytes.
if (!jstr) {
return "";
}
const jclass stringClass = env->GetObjectClass(jstr);
const jmethodID getBytes =
env->GetMethodID(stringClass, "getBytes", "(Ljava/lang/String;)[B");
const jbyteArray stringJbytes = (jbyteArray)env->CallObjectMethod(
jstr, getBytes, env->NewStringUTF("UTF-8"));
size_t length = (size_t)env->GetArrayLength(stringJbytes);
jbyte *pBytes = env->GetByteArrayElements(stringJbytes, NULL);
std::string ret = std::string(reinterpret_cast<char *>(pBytes), length);
env->ReleaseByteArrayElements(stringJbytes, pBytes, JNI_ABORT);
env->DeleteLocalRef(stringJbytes);
env->DeleteLocalRef(stringClass);
return ret;
}
inline jstring cpp_string_to_jstring(JNIEnv *env, std::string str) {
auto *data = str.c_str();
jclass strClass = env->FindClass("java/lang/String");
jmethodID strClassInitMethodID =
env->GetMethodID(strClass, "<init>", "([BLjava/lang/String;)V");
jbyteArray bytes = env->NewByteArray(strlen(data));
env->SetByteArrayRegion(bytes, 0, strlen(data),
reinterpret_cast<const jbyte *>(data));
jstring encoding = env->NewStringUTF("UTF-8");
jstring res = (jstring)(
env->NewObject(strClass, strClassInitMethodID, bytes, encoding));
env->DeleteLocalRef(strClass);
env->DeleteLocalRef(encoding);
env->DeleteLocalRef(bytes);
return res;
}
inline jobject cpp_string_to_jobect(JNIEnv *env, std::string str) {
auto *data = str.c_str();
jclass strClass = env->FindClass("java/lang/String");
jmethodID strClassInitMethodID =
env->GetMethodID(strClass, "<init>", "([BLjava/lang/String;)V");
jbyteArray bytes = env->NewByteArray(strlen(data));
env->SetByteArrayRegion(bytes, 0, strlen(data),
reinterpret_cast<const jbyte *>(data));
jstring encoding = env->NewStringUTF("UTF-8");
jobject res = env->NewObject(strClass, strClassInitMethodID, bytes, encoding);
env->DeleteLocalRef(strClass);
env->DeleteLocalRef(encoding);
env->DeleteLocalRef(bytes);
return res;
}
inline jfloatArray cpp_array_to_jfloatarray(JNIEnv *env, const float *buf,
int64_t len) {
jfloatArray result = env->NewFloatArray(len);
env->SetFloatArrayRegion(result, 0, len, buf);
return result;
}
inline jintArray cpp_array_to_jintarray(JNIEnv *env, const int *buf,
int64_t len) {
jintArray result = env->NewIntArray(len);
env->SetIntArrayRegion(result, 0, len, buf);
return result;
}
inline jbyteArray cpp_array_to_jbytearray(JNIEnv *env, const int8_t *buf,
int64_t len) {
jbyteArray result = env->NewByteArray(len);
env->SetByteArrayRegion(result, 0, len, buf);
return result;
}
inline jobjectArray
cpp_array_to_jobjectarray(JNIEnv *env, const std::string *buf, int64_t len) {
jclass jclz = env->FindClass("java/lang/String");
jobjectArray result = env->NewObjectArray(len, jclz, NULL);
for (int i = 0; i < len; i++) {
jobject job = cpp_string_to_jobect(env, buf[i]);
env->SetObjectArrayElement(result, i, job);
}
return result;
}
inline jlongArray int64_vector_to_jlongarray(JNIEnv *env,
const std::vector<int64_t> &vec) {
jlongArray result = env->NewLongArray(vec.size());
jlong *buf = new jlong[vec.size()];
for (size_t i = 0; i < vec.size(); ++i) {
buf[i] = (jlong)vec[i];
}
env->SetLongArrayRegion(result, 0, vec.size(), buf);
delete[] buf;
return result;
}
inline std::vector<int64_t> jlongarray_to_int64_vector(JNIEnv *env,
jlongArray data) {
int data_size = env->GetArrayLength(data);
jlong *data_ptr = env->GetLongArrayElements(data, nullptr);
std::vector<int64_t> data_vec(data_ptr, data_ptr + data_size);
env->ReleaseLongArrayElements(data, data_ptr, 0);
return data_vec;
}
inline std::vector<float> jfloatarray_to_float_vector(JNIEnv *env,
jfloatArray data) {
int data_size = env->GetArrayLength(data);
jfloat *data_ptr = env->GetFloatArrayElements(data, nullptr);
std::vector<float> data_vec(data_ptr, data_ptr + data_size);
env->ReleaseFloatArrayElements(data, data_ptr, 0);
return data_vec;
}
deploy/shitu_android_demo/app/src/main/cpp/ObjectDetector.cc 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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 "ObjectDetector.h" // NOLINT
#include <iomanip> // NOLINT
#include <sstream> // NOLINT
#include <unistd.h>
#include <vector> // NOLINT
// PicoDet decode
ObjectResult DisPred2Bbox(const float *dfl_det, int label, float score, int x,
int y, int stride, std::vector<float> im_shape,
int reg_max) {
float ct_x = (x + 0.5) * stride;
float ct_y = (y + 0.5) * stride;
std::vector<float> dis_pred;
dis_pred.resize(4);
for (int i = 0; i < 4; i++) {
float dis = 0;
float *dis_after_sm = new float[reg_max + 1];
activation_function_softmax(dfl_det + i * (reg_max + 1), dis_after_sm,
reg_max + 1);
for (int j = 0; j < reg_max + 1; j++) {
dis += j * dis_after_sm[j];
}
dis *= stride;
dis_pred[i] = dis;
delete[] dis_after_sm;
}
int xmin = static_cast<int>(std::max(ct_x - dis_pred[0], .0f));
int ymin = static_cast<int>(std::max(ct_y - dis_pred[1], .0f));
int xmax = static_cast<int>(std::min(ct_x + dis_pred[2], im_shape[0]));
int ymax = static_cast<int>(std::min(ct_y + dis_pred[3], im_shape[1]));
ObjectResult result_item;
result_item.rect = {xmin, ymin, xmax, ymax};
result_item.class_id = label;
result_item.confidence = score;
return result_item;
}
void PicoDetPostProcess(std::vector<ObjectResult> *results,
std::vector<const float *> outs,
std::vector<int> fpn_stride,
std::vector<float> im_shape,
std::vector<float> scale_factor, float score_threshold,
float nms_threshold, int num_class, int reg_max) {
std::vector<std::vector<ObjectResult>> bbox_results;
bbox_results.resize(num_class);
int in_h = im_shape[0], in_w = im_shape[1];
for (int i = 0; i < fpn_stride.size(); ++i) {
int feature_h = ceil(in_h * 1.f / fpn_stride[i]);
int feature_w = ceil(in_w * 1.f / fpn_stride[i]);
for (int idx = 0; idx < feature_h * feature_w; idx++) {
const float *scores = outs[i] + (idx * num_class);
int row = idx / feature_w;
int col = idx % feature_w;
float score = 0;
int cur_label = 0;
for (int label = 0; label < num_class; label++) {
if (scores[label] > score) {
score = scores[label];
cur_label = label;
}
}
if (score > score_threshold) {
const float *bbox_pred =
outs[i + fpn_stride.size()] + (idx * 4 * (reg_max + 1));
bbox_results[cur_label].push_back(
DisPred2Bbox(bbox_pred, cur_label, score, col, row, fpn_stride[i],
im_shape, reg_max));
}
}
}
for (int i = 0; i < bbox_results.size(); i++) {
nms(&bbox_results[i], nms_threshold);
for (auto box : bbox_results[i]) {
box.rect[0] = box.rect[0] / scale_factor[1];
box.rect[2] = box.rect[2] / scale_factor[1];
box.rect[1] = box.rect[1] / scale_factor[0];
box.rect[3] = box.rect[3] / scale_factor[0];
results->push_back(box);
}
}
}
// ***************************** member Function ***************************
// Load Model and create model predictor
void ObjectDetector::LoadModel(const std::string &model_file, int num_theads,
std::string cpu_power) {
MobileConfig config;
config.set_threads(num_theads);
config.set_model_from_file(model_file);
config.set_power_mode(ParsePowerMode(cpu_power));
if (access(model_file.c_str(), 0) != 0) {
LOGD("File not exist!");
}
predictor_ = CreatePaddlePredictor<MobileConfig>(config);
}
void ObjectDetector::Preprocess(const cv::Mat &ori_im) {
// Clone the image : keep the original mat for postprocess
cv::Mat im = ori_im.clone();
for (auto &op_process : ops_) {
op_process(&im, &inputs_, pre_param_);
}
}
void ObjectDetector::Postprocess(const std::vector<cv::Mat> mats,
std::vector<ObjectResult> *result,
std::vector<int> bbox_num,
bool is_rbox = false) {
result->clear();
int start_idx = 0;
for (int im_id = 0; im_id < mats.size(); im_id++) {
cv::Mat raw_mat = mats[im_id];
int rh = 1;
int rw = 1;
if (arch_ == "Face") {
rh = raw_mat.rows;
rw = raw_mat.cols;
}
for (int j = start_idx; j < start_idx + bbox_num[im_id]; j++) {
if (is_rbox) {
// Class id
int class_id = static_cast<int>(round(output_data_[0 + j * 10]));
// Confidence score
float score = output_data_[1 + j * 10];
int x1 = (output_data_[2 + j * 10] * rw);
int y1 = (output_data_[3 + j * 10] * rh);
int x2 = (output_data_[4 + j * 10] * rw);
int y2 = (output_data_[5 + j * 10] * rh);
int x3 = (output_data_[6 + j * 10] * rw);
int y3 = (output_data_[7 + j * 10] * rh);
int x4 = (output_data_[8 + j * 10] * rw);
int y4 = (output_data_[9 + j * 10] * rh);
ObjectResult result_item;
result_item.rect = {x1, y1, x2, y2, x3, y3, x4, y4};
result_item.class_id = class_id;
result_item.confidence = score;
result->push_back(result_item);
} else {
// Class id
int class_id = static_cast<int>(round(output_data_[0 + j * 6]));
// Confidence score
float score = output_data_[1 + j * 6];
int xmin = (output_data_[2 + j * 6] * rw);
int ymin = (output_data_[3 + j * 6] * rh);
int xmax = (output_data_[4 + j * 6] * rw);
int ymax = (output_data_[5 + j * 6] * rh);
int wd = xmax - xmin;
int hd = ymax - ymin;
ObjectResult result_item;
result_item.rect = {xmin, ymin, xmax, ymax};
result_item.class_id = class_id;
result_item.confidence = score;
result->push_back(result_item);
}
}
start_idx += bbox_num[im_id];
}
}
void ObjectDetector::Predict(const std::vector<cv::Mat> &imgs, const int warmup,
const int repeats,
std::vector<ObjectResult> *result,
std::vector<int> *bbox_num,
std::vector<double> *times) {
auto preprocess_start = std::chrono::steady_clock::now();
int batch_size = imgs.size();
// in_data_batch
std::vector<float> in_data_all;
std::vector<float> im_shape_all(batch_size * 2);
std::vector<float> scale_factor_all(batch_size * 2);
// Preprocess image
for (int bs_idx = 0; bs_idx < batch_size; bs_idx++) {
cv::Mat im = imgs.at(bs_idx);
Preprocess(im);
im_shape_all[bs_idx * 2] = inputs_.im_shape_[0];
im_shape_all[bs_idx * 2 + 1] = inputs_.im_shape_[1];
scale_factor_all[bs_idx * 2] = inputs_.scale_factor_[0];
scale_factor_all[bs_idx * 2 + 1] = inputs_.scale_factor_[1];
// TODO: reduce cost time
in_data_all.insert(in_data_all.end(), inputs_.im_data_.begin(),
inputs_.im_data_.end());
}
auto preprocess_end = std::chrono::steady_clock::now();
std::vector<const float *> output_data_list_;
// Prepare input tensor
auto input_names = predictor_->GetInputNames();
for (const auto &tensor_name : input_names) {
auto in_tensor = predictor_->GetInputByName(tensor_name);
if (tensor_name == "image") {
int rh = inputs_.in_net_shape_[0];
int rw = inputs_.in_net_shape_[1];
in_tensor->Resize({batch_size, 3, rh, rw});
auto *inptr = in_tensor->mutable_data<float>();
std::copy_n(in_data_all.data(), in_data_all.size(), inptr);
} else if (tensor_name == "im_shape") {
in_tensor->Resize({batch_size, 2});
auto *inptr = in_tensor->mutable_data<float>();
std::copy_n(im_shape_all.data(), im_shape_all.size(), inptr);
} else if (tensor_name == "scale_factor") {
in_tensor->Resize({batch_size, 2});
auto *inptr = in_tensor->mutable_data<float>();
std::copy_n(scale_factor_all.data(), scale_factor_all.size(), inptr);
}
}
// Run predictor
// warmup
for (int i = 0; i < warmup; i++) {
predictor_->Run();
// Get output tensor
auto output_names = predictor_->GetOutputNames();
if (arch_ == "PicoDet") {
for (int j = 0; j < output_names.size(); j++) {
auto output_tensor = predictor_->GetTensor(output_names[j]);
const float *outptr = output_tensor->data<float>();
std::vector<int64_t> output_shape = output_tensor->shape();
output_data_list_.push_back(outptr);
}
} else {
auto out_tensor = predictor_->GetTensor(output_names[0]);
auto out_bbox_num = predictor_->GetTensor(output_names[1]);
}
}
bool is_rbox = false;
auto inference_start = std::chrono::steady_clock::now();
for (int i = 0; i < repeats; i++) {
predictor_->Run();
}
auto inference_end = std::chrono::steady_clock::now();
auto postprocess_start = std::chrono::steady_clock::now();
// Get output tensor
output_data_list_.clear();
int num_class = 1;
int reg_max = 7;
auto output_names = predictor_->GetOutputNames();
// TODO: Unified model output.
if (arch_ == "PicoDet") {
for (int i = 0; i < output_names.size(); i++) {
auto output_tensor = predictor_->GetTensor(output_names[i]);
const float *outptr = output_tensor->data<float>();
std::vector<int64_t> output_shape = output_tensor->shape();
if (i == 0) {
num_class = output_shape[2];
}
if (i == fpn_stride_.size()) {
reg_max = output_shape[2] / 4 - 1;
}
output_data_list_.push_back(outptr);
}
} else {
auto output_tensor = predictor_->GetTensor(output_names[0]);
auto output_shape = output_tensor->shape();
auto out_bbox_num = predictor_->GetTensor(output_names[1]);
auto out_bbox_num_shape = out_bbox_num->shape();
// Calculate output length
int output_size = 1;
for (int j = 0; j < output_shape.size(); ++j) {
output_size *= output_shape[j];
}
is_rbox = output_shape[output_shape.size() - 1] % 10 == 0;
if (output_size < 6) {
std::cerr << "[WARNING] No object detected." << std::endl;
}
output_data_.resize(output_size);
std::copy_n(output_tensor->mutable_data<float>(), output_size,
output_data_.data());
int out_bbox_num_size = 1;
for (int j = 0; j < out_bbox_num_shape.size(); ++j) {
out_bbox_num_size *= out_bbox_num_shape[j];
}
out_bbox_num_data_.resize(out_bbox_num_size);
std::copy_n(out_bbox_num->mutable_data<int>(), out_bbox_num_size,
out_bbox_num_data_.data());
}
// Postprocessing result
result->clear();
if (arch_ == "PicoDet") {
PicoDetPostProcess(result, output_data_list_, fpn_stride_,
inputs_.im_shape_, inputs_.scale_factor_,
score_threshold_, nms_threshold_, num_class, reg_max);
bbox_num->push_back(result->size());
} else {
Postprocess(imgs, result, out_bbox_num_data_, is_rbox);
bbox_num->clear();
for (int k = 0; k < out_bbox_num_data_.size(); k++) {
int tmp = out_bbox_num_data_[k];
bbox_num->push_back(tmp);
}
}
auto postprocess_end = std::chrono::steady_clock::now();
std::chrono::duration<float> preprocess_diff =
preprocess_end - preprocess_start;
times->push_back(double(preprocess_diff.count() * 1000));
std::chrono::duration<float> inference_diff = inference_end - inference_start;
times->push_back(double(inference_diff.count() / repeats * 1000));
std::chrono::duration<float> postprocess_diff =
postprocess_end - postprocess_start;
times->push_back(double(postprocess_diff.count() * 1000));
}
deploy/shitu_android_demo/app/src/main/cpp/ObjectDetector.h 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
//
// 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.
#pragma once
#include "Utils.h" // NOLINT
#include "paddle_api.h" // NOLINT
#include <algorithm> // NOLINT
#include <functional> // NOLINT
#include <iostream> // NOLINT
#include <memory> // NOLINT
#include <opencv2/core/core.hpp> // NOLINT
#include <opencv2/highgui/highgui.hpp> // NOLINT
#include <opencv2/imgproc/imgproc.hpp> // NOLINT
#include <stdio.h> // NOLINT
#include <string> // NOLINT
#include <unordered_map> // NOLINT
#include <utility> // NOLINT
#include <vector> // NOLINT
using namespace paddle::lite_api; // NOLINT
struct ObjectPreprocessParam {
// Normalisze
std::vector<float> mean;
std::vector<float> std;
bool is_scale;
// resize
int interp;
bool keep_ratio;
std::vector<int> target_size;
// Pad
int stride;
// TopDownEvalAffine
std::vector<int> trainsize;
};
using PreprocessFunc = std::function<void(cv::Mat *im, ImageBlob *data,
ObjectPreprocessParam item)>;
// PreProcess Function
inline void InitInfo(cv::Mat *im, ImageBlob *data, ObjectPreprocessParam item) {
data->im_shape_ = {static_cast<float>(im->rows),
static_cast<float>(im->cols)};
data->scale_factor_ = {1., 1.};
data->in_net_shape_ = {static_cast<float>(im->rows),
static_cast<float>(im->cols)};
}
inline void NormalizeImage(cv::Mat *im, ImageBlob *data,
ObjectPreprocessParam item) {
std::vector<float> mean;
std::vector<float> scale;
bool is_scale;
for (auto tmp : item.mean) {
mean.emplace_back(tmp);
}
for (auto tmp : item.std) {
scale.emplace_back(tmp);
}
is_scale = item.is_scale;
double e = 1.0;
if (is_scale) {
e *= 1. / 255.0;
}
(*im).convertTo(*im, CV_32FC3, e);
for (int h = 0; h < im->rows; h++) {
for (int w = 0; w < im->cols; w++) {
im->at<cv::Vec3f>(h, w)[0] =
(im->at<cv::Vec3f>(h, w)[0] - mean[0]) / scale[0];
im->at<cv::Vec3f>(h, w)[1] =
(im->at<cv::Vec3f>(h, w)[1] - mean[1]) / scale[1];
im->at<cv::Vec3f>(h, w)[2] =
(im->at<cv::Vec3f>(h, w)[2] - mean[2]) / scale[2];
}
}
}
inline void Permute(cv::Mat *im, ImageBlob *data, ObjectPreprocessParam item) {
(*im).convertTo(*im, CV_32FC3);
int rh = im->rows;
int rw = im->cols;
int rc = im->channels();
(data->im_data_).resize(rc * rh * rw);
float *base = (data->im_data_).data();
for (int i = 0; i < rc; ++i) {
cv::extractChannel(*im, cv::Mat(rh, rw, CV_32FC1, base + i * rh * rw), i);
}
}
inline void Resize(cv::Mat *im, ImageBlob *data, ObjectPreprocessParam item) {
std::vector<int> target_size;
int interp = item.interp;
bool keep_ratio = item.keep_ratio;
for (auto tmp : item.target_size) {
target_size.emplace_back(tmp);
}
std::pair<float, float> resize_scale;
int origin_w = im->cols;
int origin_h = im->rows;
if (keep_ratio) {
int im_size_max = std::max(origin_w, origin_h);
int im_size_min = std::min(origin_w, origin_h);
int target_size_max =
*std::max_element(target_size.begin(), target_size.end());
int target_size_min =
*std::min_element(target_size.begin(), target_size.end());
float scale_min =
static_cast<float>(target_size_min) / static_cast<float>(im_size_min);
float scale_max =
static_cast<float>(target_size_max) / static_cast<float>(im_size_max);
float scale_ratio = std::min(scale_min, scale_max);
resize_scale = {scale_ratio, scale_ratio};
} else {
resize_scale.first =
static_cast<float>(target_size[1]) / static_cast<float>(origin_w);
resize_scale.second =
static_cast<float>(target_size[0]) / static_cast<float>(origin_h);
}
data->im_shape_ = {static_cast<float>(im->cols * resize_scale.first),
static_cast<float>(im->rows * resize_scale.second)};
data->in_net_shape_ = {static_cast<float>(im->cols * resize_scale.first),
static_cast<float>(im->rows * resize_scale.second)};
cv::resize(*im, *im, cv::Size(), resize_scale.first, resize_scale.second,
interp);
data->im_shape_ = {
static_cast<float>(im->rows), static_cast<float>(im->cols),
};
data->scale_factor_ = {
resize_scale.second, resize_scale.first,
};
}
inline void PadStride(cv::Mat *im, ImageBlob *data,
ObjectPreprocessParam item) {
int stride = item.stride;
if (stride <= 0) {
return;
}
int rc = im->channels();
int rh = im->rows;
int rw = im->cols;
int nh = (rh / stride) * stride + (rh % stride != 0) * stride;
int nw = (rw / stride) * stride + (rw % stride != 0) * stride;
cv::copyMakeBorder(*im, *im, 0, nh - rh, 0, nw - rw, cv::BORDER_CONSTANT,
cv::Scalar(0));
data->in_net_shape_ = {
static_cast<float>(im->rows), static_cast<float>(im->cols),
};
}
inline void TopDownEvalAffine(cv::Mat *im, ImageBlob *data,
ObjectPreprocessParam item) {
int interp = 1;
std::vector<int> trainsize;
for (auto tmp : item.trainsize) {
trainsize.emplace_back(tmp);
}
cv::resize(*im, *im, cv::Size(trainsize[0], trainsize[1]), 0, 0, interp);
// todo: Simd::ResizeBilinear();
data->in_net_shape_ = {
static_cast<float>(trainsize[1]), static_cast<float>(trainsize[0]),
};
}
class ObjectDetector {
public: // NOLINT
explicit ObjectDetector(const std::string &model_dir,
std::vector<int> det_input_shape,
const int &cpu_threads, std::string cpu_power,
const int &batch_size = 1) {
// global
fpn_stride_ = std::vector<int>({8, 16, 32, 64});
// Init preprocess param
// Normalisze
pre_param_.mean = std::vector<float>({0.485, 0.456, 0.406});
pre_param_.std = std::vector<float>({0.229, 0.224, 0.225});
pre_param_.is_scale = true;
// resize
pre_param_.interp = 2;
pre_param_.keep_ratio = false;
pre_param_.target_size =
std::vector<int>({det_input_shape[2], det_input_shape[3]});
// Pad
pre_param_.stride = 0;
// TopDownEvalAffine
pre_param_.trainsize =
std::vector<int>({det_input_shape[2], det_input_shape[3]});
// op
preprocess_op_func_ = std::vector<std::string>(
{"DetResize", "DetNormalizeImage", "DetPermute"});
// init postprocess param
arch_ = "PicoDet";
nms_threshold_ = 0.5f;
score_threshold_ = 0.3f;
op_map_["InitInfo"] = (PreprocessFunc)InitInfo;
op_map_["DetNormalizeImage"] = (PreprocessFunc)NormalizeImage;
op_map_["DetPermute"] = (PreprocessFunc)Permute;
op_map_["DetResize"] = (PreprocessFunc)Resize;
op_map_["DetPadStride"] = (PreprocessFunc)PadStride;
op_map_["DetTopDownEvalAffine"] = (PreprocessFunc)TopDownEvalAffine;
for (auto op_name : preprocess_op_func_) {
ops_.emplace_back(op_map_[op_name]);
}
LoadModel(model_dir, cpu_threads, cpu_power);
}
// Load Paddle inference model
void LoadModel(const std::string &model_file, int num_theads,
std::string cpu_power);
// Run predictor
void Predict(const std::vector<cv::Mat> &imgs, const int warmup = 0,
const int repeats = 1,
std::vector<ObjectResult> *result = nullptr,
std::vector<int> *bbox_num = nullptr,
std::vector<double> *times = nullptr);
private: // NOLINT
// Preprocess image and copy data to input buffer
void Preprocess(const cv::Mat &image_mat);
// Postprocess result
void Postprocess(const std::vector<cv::Mat> mats,
std::vector<ObjectResult> *result, std::vector<int> bbox_num,
bool is_rbox);
std::shared_ptr<PaddlePredictor> predictor_;
ObjectPreprocessParam pre_param_;
std::vector<PreprocessFunc> ops_;
std::vector<std::string> preprocess_op_func_;
ImageBlob inputs_;
std::vector<float> output_data_;
std::vector<int> out_bbox_num_data_;
float nms_threshold_;
std::unordered_map<std::string, PreprocessFunc> op_map_;
std::string arch_;
float score_threshold_;
std::vector<int> fpn_stride_;
};
deploy/shitu_android_demo/app/src/main/cpp/Pipeline.cc 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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 "Pipeline.h"
#include "FeatureExtractor.h"
#include "ObjectDetector.h"
#include "VectorSearch.h"
#include <algorithm>
#include <functional>
#include <sys/stat.h>
#include <unistd.h>
#include <utility>
void PrintResult(std::vector<ObjectResult> &det_result,
const std::shared_ptr<VectorSearch> &vector_search,
SearchResult &search_result) {
for (int i = 0; i < std::min((int)det_result.size(), 1); ++i) {
int t = i;
LOGD("\tresult%d: bbox[%d, %d, %d, %d], score: %f, label: %s\n", i,
det_result[t].rect[0], det_result[t].rect[1], det_result[t].rect[2],
det_result[t].rect[3], det_result[t].confidence,
vector_search->GetLabel(search_result.I[search_result.return_k * t])
.c_str());
}
}
void VisualResult(cv::Mat &img, std::vector<ObjectResult> &results) { // NOLINT
for (int i = 0; i < 1; i++) {
int w = results[i].rect[2] - results[i].rect[0];
int h = results[i].rect[3] - results[i].rect[1];
cv::Rect roi = cv::Rect(results[i].rect[0], results[i].rect[1], w, h);
cv::rectangle(img, roi, cv::Scalar(41, 50, 255), 3);
}
}
PipeLine::PipeLine(std::string det_model_path, std::string rec_model_path,
std::string label_path, std::string index_path,
std::vector<int> det_input_shape,
std::vector<int> rec_input_shape, int cpu_num_threads,
int warm_up, int repeats, int topk, bool add_gallery,
std::string cpu_power) {
det_model_path_ = det_model_path;
rec_model_path_ = rec_model_path;
label_path_ = label_path;
index_path_ = index_path;
det_input_shape_ = det_input_shape;
rec_input_shape_ = rec_input_shape;
cpu_num_threads_ = cpu_num_threads;
add_gallery_flag = add_gallery;
max_det_num_ = topk;
cpu_pow_ = cpu_power;
det_model_path_ = det_model_path_ + "/mainbody_PPLCNet_x2_5_640_v1.2_lite.nb";
rec_model_path_ =
rec_model_path_ + "/general_PPLCNet_x2_5_lite_v1.2_infer.nb";
// create object detector
det_ = std::make_shared<ObjectDetector>(det_model_path_, det_input_shape_,
cpu_num_threads_, cpu_pow_);
// create rec model
rec_ = std::make_shared<FeatureExtract>(rec_model_path_, rec_input_shape_,
cpu_num_threads_, cpu_pow_);
// create vector search
searcher_ = std::make_shared<VectorSearch>(label_path_, index_path_, 5, 0.5);
}
std::string PipeLine::run(std::vector<cv::Mat> &batch_imgs, // NOLINT
std::vector<ObjectResult> &det_result, // NOLINT
int batch_size, const std::string &label_name) {
std::fill(times_.begin(), times_.end(), 0);
// if (!this->add_gallery_flag)
// {
DetPredictImage(batch_imgs, &det_result, batch_size, det_,
max_det_num_); // det_result获取[l,d,r,u]
// }
// add the whole image for recognition to improve recall
ObjectResult result_whole_img = {
{0, 0, batch_imgs[0].cols, batch_imgs[0].rows}, 0, 1.0};
det_result.push_back(result_whole_img); // 加入整图的坐标，提升召回率
// get rec result
for (int j = 0; j < det_result.size(); ++j) {
double rec_time = 0.0; // .rect:vector = {l, d, r, u}
vector<float> feature;
int w = det_result[j].rect[2] - det_result[j].rect[0];
int h = det_result[j].rect[3] - det_result[j].rect[1];
cv::Rect rect(det_result[j].rect[0], det_result[j].rect[1], w, h);
cv::Mat crop_img = batch_imgs[0](rect);
rec_->RunRecModel(crop_img, rec_time, feature);
if (this->add_gallery_flag) {
this->searcher_->AddFeature(feature.data(), label_name);
} else {
features.insert(features.end(), feature.begin(),
feature.end()); //每次插入一个512的向量
}
}
if (this->add_gallery_flag) {
VisualResult(batch_imgs[0], det_result);
det_result.clear();
features.clear();
indices.clear();
std::string res = std::to_string(times_[1] + times_[4]) + "\n";
return res;
}
// do vectore search
SearchResult search_result = searcher_->Search(
features.data(),
det_result
.size()); // 一次搜索多个向量(展平在features里)，共det_result.size()个
// for (int j = 0; j < det_result.size(); ++j)
for (int j = 0; j < 1; ++j) // 对于每个检测框，只把
{
det_result[j].confidence =
search_result.return_k * j < search_result.D.size()
? search_result.D[search_result.return_k * j]
: 0.0f;
for (int k = 0; k < this->max_index_num_; ++k) {
std::size_t tidx =
min<std::size_t>((std::size_t)(search_result.return_k * j + k),
search_result.D.size() - 1);
std::string _class_name = searcher_->GetLabel(search_result.I[tidx]);
int _index = (int)(search_result.I[tidx]);
float _dist = search_result.D[tidx];
if (_dist > 1e5 || _dist < -1e5) {
_dist = 0.0;
}
det_result[j].rec_result.push_back({_class_name, _index, _dist});
}
}
// sort(det_result.begin(), det_result.end(), [](const ObjectResult &a,
// const ObjectResult &b){
// if (a.rec_result.empty() and b.rec_result.empty())
// {
// return 0;
// }
// else if (a.rec_result.empty() and !b.rec_result.empty())
// {
// return 0;
// }
// else if (!a.rec_result.empty() and b.rec_result.empty())
// {
// return 1;
// }
// else
// {
// return (int)(a.rec_result[0].score > b.rec_result[0].score);
// }
// });
NMSBoxes(det_result, searcher_->GetThreshold(), this->rec_nms_thresold_,
indices);
VisualResult(batch_imgs[0], det_result);
LOGD("================== result summary =========================");
PrintResult(det_result, searcher_, search_result);
// results
std::string res;
res += std::to_string(times_[1] + times_[4]) + "\n";
for (int i = 0; i < 1; i++) {
res.append(det_result[i].rec_result[0].class_name + ", " +
std::to_string((int)(det_result[i].rec_result[0].score * 1000) *
1.0 / 1000) +
"\n");
}
det_result.clear();
features.clear();
indices.clear();
return res;
}
void PipeLine::DetPredictImage(const std::vector<cv::Mat> batch_imgs,
std::vector<ObjectResult> *im_result,
const int batch_size_det,
std::shared_ptr<ObjectDetector> det,
const int max_det_num) {
int steps = ceil(float(batch_imgs.size()) / batch_size_det);
for (int idx = 0; idx < steps; idx++) {
int left_image_cnt = (int)batch_imgs.size() - idx * batch_size_det;
if (left_image_cnt > batch_size_det) {
left_image_cnt = batch_size_det;
}
// Store all detected result
std::vector<ObjectResult> result;
std::vector<int> bbox_num;
std::vector<double> det_times;
// bool is_rbox = false;
det->Predict(batch_imgs, 0, 1, &result, &bbox_num, &det_times);
int item_start_idx = 0;
for (int i = 0; i < left_image_cnt; i++) {
cv::Mat im = batch_imgs[i];
int detect_num = 0;
for (int j = 0; j < min(bbox_num[i], max_det_num); j++) {
ObjectResult item = result[item_start_idx + j];
if (item.class_id == -1) {
continue;
}
detect_num += 1;
im_result->push_back(item);
}
item_start_idx = item_start_idx + bbox_num[i];
}
times_[0] += det_times[0];
times_[1] += det_times[1];
times_[2] += det_times[2];
}
}
template <typename T>
static inline bool SortScorePairDescend(const std::pair<float, T> &pair1,
const std::pair<float, T> &pair2) {
return pair1.first > pair2.first;
}
inline void
GetMaxScoreIndex(const std::vector<ObjectResult> &det_result,
const float threshold,
std::vector<std::pair<float, int>> &score_index_vec) {
// Generate index score pairs.
for (size_t i = 0; i < det_result.size(); ++i) {
if (det_result[i].confidence > threshold) {
score_index_vec.push_back(std::make_pair(det_result[i].confidence, i));
}
}
// Sort the score pair according to the scores in descending order
std::stable_sort(score_index_vec.begin(), score_index_vec.end(),
SortScorePairDescend<int>);
}
float RectOverlap(const ObjectResult &a, const ObjectResult &b) {
float Aa = (a.rect[2] - a.rect[0] + 1) * (a.rect[3] - a.rect[1] + 1);
float Ab = (b.rect[2] - b.rect[0] + 1) * (b.rect[3] - b.rect[1] + 1);
int iou_w = max(min(a.rect[2], b.rect[2]) - max(a.rect[0], b.rect[0]) + 1, 0);
int iou_h = max(min(a.rect[3], b.rect[3]) - max(a.rect[1], b.rect[1]) + 1, 0);
float Aab = iou_w * iou_h;
return Aab / (Aa + Ab - Aab);
}
void PipeLine::NMSBoxes(const std::vector<ObjectResult> &det_result,
const float score_threshold, const float nms_threshold,
std::vector<int> &indices) {
// Get top_k scores (with corresponding indices).
std::vector<std::pair<float, int>> score_index_vec;
GetMaxScoreIndex(det_result, score_threshold, score_index_vec);
// Do nms
indices.clear();
for (size_t i = 0; i < score_index_vec.size(); ++i) {
const int idx = score_index_vec[i].second;
bool keep = true;
for (int k = 0; k < (int)indices.size() && keep; ++k) {
const int kept_idx = indices[k];
float overlap = RectOverlap(det_result[idx], det_result[kept_idx]);
keep = overlap <= nms_threshold;
}
if (keep)
indices.push_back(idx);
}
}
void PipeLine::set_add_gallery(const bool &flag) {
this->add_gallery_flag = flag;
}
void PipeLine::ClearFeature() { this->searcher_->ClearFeature(); }
void PipeLine::SaveIndex(const string &save_file_name) {
this->searcher_->SaveIndex(save_file_name);
}
bool PipeLine::LoadIndex(const string &save_file_name) {
return this->searcher_->LoadFromSaveFileName(save_file_name);
}
string PipeLine::GetLabelList() {
std::vector<std::string> class_name_list = this->searcher_->GetLabelList();
string ret;
ret += "共";
ret += std::to_string(class_name_list.size());
ret += "类";
ret += "\n";
ret += "====================\n";
for (const auto &str : class_name_list) {
ret += str;
ret += "\n";
}
return ret;
}
deploy/shitu_android_demo/app/src/main/cpp/Pipeline.h 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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.
#pragma once
#include "FeatureExtractor.h" // NOLINT
#include "ObjectDetector.h" // NOLINT
#include "Utils.h"
#include "VectorSearch.h"
#include "paddle_api.h" // NOLINT
#include <EGL/egl.h> // NOLINT
#include <GLES2/gl2.h> // NOLINT
#include <memory> // NOLINT
#include <opencv2/core.hpp> // NOLINT
#include <opencv2/highgui/highgui.hpp> // NOLINT
#include <opencv2/imgcodecs.hpp> // NOLINT
#include <opencv2/imgproc.hpp> // NOLINT
#include <string> // NOLINT
#include <vector> // NOLINT
class PipeLine {
public: // NOLINT
explicit PipeLine(std::string det_model_path, std::string rec_model_path,
std::string label_path, std::string index_path,
std::vector<int> det_input_shape,
std::vector<int> rec_input_shape, int cpu_num_threads,
int warm_up, int repeats, int topk, bool add_gallery,
std::string cpu_power);
std::string run(std::vector<cv::Mat> &batch_imgs, // NOLINT
std::vector<ObjectResult> &det_result, // NOLINT
int batch_size, const std::string &label_name = "");
void set_add_gallery(const bool &flag);
void ClearFeature();
void SaveIndex(const string &save_file_name);
bool LoadIndex(const string &load_file_name);
string GetLabelList();
private: // NOLINT
std::string det_model_path_;
std::string rec_model_path_;
std::string label_path_;
std::string index_path_;
std::vector<int> det_input_shape_;
std::vector<int> rec_input_shape_;
int cpu_num_threads_;
bool add_gallery_flag;
std::string cpu_pow_;
// 实例化检测类
std::shared_ptr<ObjectDetector> det_;
// 实例化特征提取(rec)类
std::shared_ptr<FeatureExtract> rec_;
// 实例化特征检索类
std::shared_ptr<VectorSearch> searcher_;
int max_det_num_ = 3;
int max_index_num_ = 5;
float rec_nms_thresold_ = 0.05f;
std::vector<float> features;
std::vector<int> indices;
std::vector<double> times_{0, 0, 0, 0, 0, 0, 0};
void DetPredictImage(const std::vector<cv::Mat> batch_imgs,
std::vector<ObjectResult> *im_result,
const int batch_size_det,
std::shared_ptr<ObjectDetector> det,
const int max_det_num = 3);
void NMSBoxes(const std::vector<ObjectResult> &det_result,
const float score_threshold, const float nms_threshold,
std::vector<int> &indices);
};
deploy/shitu_android_demo/app/src/main/cpp/README.md 0 → 100644
浏览文件 @ 0655709e
download [faiss1.5.3.tar.gz](https://paddle-inference-dist.bj.bcebos.com/faiss1.5.3.tar.gz) and unzip it, put `include` directory here, file structure like below:
main/cpp/include/faiss/*.h
deploy/shitu_android_demo/app/src/main/cpp/Utils.cc 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// 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 "Utils.h" // NOLINT
#include <algorithm> // NOLINT
#include <arm_neon.h> // NOLINT
int64_t ShapeProduction(const std::vector<int64_t> &shape) {
int64_t res = 1;
for (auto i : shape)
res *= i;
return res;
}
void NHWC3ToNC3HW(const float *src, float *dst, const float *mean,
const float *std, int width, int height) {
int size = height * width;
float32x4_t vmean0 = vdupq_n_f32(mean ? mean[0] : 0.0f);
float32x4_t vmean1 = vdupq_n_f32(mean ? mean[1] : 0.0f);
float32x4_t vmean2 = vdupq_n_f32(mean ? mean[2] : 0.0f);
float32x4_t vscale0 = vdupq_n_f32(std ? (1.0f / std[0]) : 1.0f);
float32x4_t vscale1 = vdupq_n_f32(std ? (1.0f / std[1]) : 1.0f);
float32x4_t vscale2 = vdupq_n_f32(std ? (1.0f / std[2]) : 1.0f);
float *dst_c0 = dst;
float *dst_c1 = dst + size;
float *dst_c2 = dst + size * 2;
int i = 0;
for (; i < size - 3; i += 4) {
float32x4x3_t vin3 = vld3q_f32(src);
float32x4_t vsub0 = vsubq_f32(vin3.val[0], vmean0);
float32x4_t vsub1 = vsubq_f32(vin3.val[1], vmean1);
float32x4_t vsub2 = vsubq_f32(vin3.val[2], vmean2);
float32x4_t vs0 = vmulq_f32(vsub0, vscale0);
float32x4_t vs1 = vmulq_f32(vsub1, vscale1);
float32x4_t vs2 = vmulq_f32(vsub2, vscale2);
vst1q_f32(dst_c0, vs0);
vst1q_f32(dst_c1, vs1);
vst1q_f32(dst_c2, vs2);
src += 12;
dst_c0 += 4;
dst_c1 += 4;
dst_c2 += 4;
}
for (; i < size; i++) {
*(dst_c0++) = (*(src++) - mean[0]) / std[0];
*(dst_c1++) = (*(src++) - mean[1]) / std[1];
*(dst_c2++) = (*(src++) - mean[2]) / std[2];
}
}
void NHWC1ToNC1HW(const float *src, float *dst, const float *mean,
const float *std, int width, int height) {
int size = height * width;
float32x4_t vmean = vdupq_n_f32(mean ? mean[0] : 0.0f);
float32x4_t vscale = vdupq_n_f32(std ? (1.0f / std[0]) : 1.0f);
int i = 0;
for (; i < size - 3; i += 4) {
float32x4_t vin = vld1q_f32(src);
float32x4_t vsub = vsubq_f32(vin, vmean);
float32x4_t vs = vmulq_f32(vsub, vscale);
vst1q_f32(dst, vs);
src += 4;
dst += 4;
}
for (; i < size; i++) {
*(dst++) = (*(src++) - mean[0]) / std[0];
}
}
void nms(std::vector<ObjectResult> *input_boxes, float nms_threshold,
bool rec_nms) {
if (!rec_nms) {
std::sort(input_boxes->begin(), input_boxes->end(),
[](ObjectResult a, ObjectResult b) {
return a.confidence > b.confidence;
});
} else {
std::sort(input_boxes->begin(), input_boxes->end(),
[](ObjectResult a, ObjectResult b) {
return a.rec_result[0].score > b.rec_result[0].score;
});
}
std::vector<float> vArea(input_boxes->size());
for (int i = 0; i < input_boxes->size(); ++i) {
vArea[i] = (input_boxes->at(i).rect[2] - input_boxes->at(i).rect[0] + 1) *
(input_boxes->at(i).rect[3] - input_boxes->at(i).rect[1] + 1);
}
for (int i = 0; i < input_boxes->size(); ++i) {
for (int j = i + 1; j < input_boxes->size();) {
float xx1 =
std::max(input_boxes->at(i).rect[0], input_boxes->at(j).rect[0]);
float yy1 =
std::max(input_boxes->at(i).rect[1], input_boxes->at(j).rect[1]);
float xx2 =
std::min(input_boxes->at(i).rect[2], input_boxes->at(j).rect[2]);
float yy2 =
std::min(input_boxes->at(i).rect[3], input_boxes->at(j).rect[3]);
float w = std::max(0.f, xx2 - xx1 + 1);
float h = std::max(0.f, yy2 - yy1 + 1);
float inter = w * h;
float ovr = inter / (vArea[i] + vArea[j] - inter);
if (ovr >= nms_threshold) {
input_boxes->erase(input_boxes->begin() + j);
vArea.erase(vArea.begin() + j);
} else {
j++;
}
}
}
}
// fill tensor with mean and scale
// and trans layout: nhwc -> nchw, neon speed up
void neon_mean_scale(const float *din, float *dout, int size, float *mean,
float *scale) {
float32x4_t vmean0 = vdupq_n_f32(mean[0]);
float32x4_t vmean1 = vdupq_n_f32(mean[1]);
float32x4_t vmean2 = vdupq_n_f32(mean[2]);
float32x4_t vscale0 = vdupq_n_f32(1.f / scale[0]);
float32x4_t vscale1 = vdupq_n_f32(1.f / scale[1]);
float32x4_t vscale2 = vdupq_n_f32(1.f / scale[2]);
float *dout_c0 = dout;
float *dout_c1 = dout + size;
float *dout_c2 = dout + size * 2;
int i = 0;
for (; i < size - 3; i += 4) {
float32x4x3_t vin3 = vld3q_f32(din);
float32x4_t vsub0 = vsubq_f32(vin3.val[0], vmean0);
float32x4_t vsub1 = vsubq_f32(vin3.val[1], vmean1);
float32x4_t vsub2 = vsubq_f32(vin3.val[2], vmean2);
float32x4_t vs0 = vmulq_f32(vsub0, vscale0);
float32x4_t vs1 = vmulq_f32(vsub1, vscale1);
float32x4_t vs2 = vmulq_f32(vsub2, vscale2);
vst1q_f32(dout_c0, vs0);
vst1q_f32(dout_c1, vs1);
vst1q_f32(dout_c2, vs2);
din += 12;
dout_c0 += 4;
dout_c1 += 4;
dout_c2 += 4;
}
for (; i < size; i++) {
*(dout_c0++) = (*(din++) - mean[0]) / scale[0];
*(dout_c0++) = (*(din++) - mean[1]) / scale[1];
*(dout_c0++) = (*(din++) - mean[2]) / scale[2];
}
}
float fast_exp(float x) {
union {
uint32_t i;
float f;
} v{};
v.i = (1 << 23) * (1.4426950409 * x + 126.93490512f);
return v.f;
}
void activation_function_softmax(const float *src, float *dst, int length) {
const float alpha = *std::max_element(src, src + length);
float denominator{0.f};
for (int i = 0; i < length; ++i) {
dst[i] = fast_exp(src[i] - alpha);
denominator += dst[i];
}
for (int i = 0; i < length; ++i) {
dst[i] /= denominator;
}
}
deploy/shitu_android_demo/app/src/main/cpp/Utils.h 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// 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.
#pragma once
#include "paddle_api.h" // NOLINT
#include <android/log.h> // NOLINT
#include <fstream> // NOLINT
#include <string> // NOLINT
#include <vector> // NOLINT
#define TAG "JNI"
#define LOGD(...) __android_log_print(ANDROID_LOG_DEBUG, TAG, __VA_ARGS__)
#define LOGI(...) __android_log_print(ANDROID_LOG_INFO, TAG, __VA_ARGS__)
#define LOGW(...) __android_log_print(ANDROID_LOG_WARN, TAG, __VA_ARGS__)
#define LOGE(...) __android_log_print(ANDROID_LOG_ERROR, TAG, __VA_ARGS__)
#define LOGF(...) __android_log_print(ANDROID_LOG_FATAL, TAG, __VA_ARGS__)
#define MIN(a, b) (((a) < (b)) ? (a) : (b))
#define MAX(a, b) (((a) > (b)) ? (a) : (b))
int64_t ShapeProduction(const std::vector<int64_t> &shape);
template <typename T>
bool ReadFile(const std::string &path, std::vector<T> *data) {
std::ifstream file(path, std::ifstream::binary);
if (file) {
file.seekg(0, file.end);
int size = file.tellg();
LOGD("file size=%lld\n", size);
data->resize(size / sizeof(T));
file.seekg(0, file.beg);
file.read(reinterpret_cast<char *>(data->data()), size);
file.close();
return true;
} else {
LOGE("Can't read file from %s\n", path.c_str());
}
return false;
}
template <typename T>
bool WriteFile(const std::string &path, const std::vector<T> &data) {
std::ofstream file{path, std::ios::binary};
if (!file.is_open()) {
LOGE("Can't write file to %s\n", path.c_str());
return false;
}
file.write(reinterpret_cast<const char *>(data.data()),
data.size() * sizeof(T));
file.close();
return true;
}
inline int64_t GetCurrentTime() {
struct timeval time;
gettimeofday(&time, NULL);
return 1000000LL * (int64_t)time.tv_sec + (int64_t)time.tv_usec;
}
inline double GetElapsedTime(int64_t time) {
return (GetCurrentTime() - time) / 1000.0f;
}
inline paddle::lite_api::PowerMode ParsePowerMode(std::string mode) {
if (mode == "LITE_POWER_HIGH") {
return paddle::lite_api::LITE_POWER_HIGH;
} else if (mode == "LITE_POWER_LOW") {
return paddle::lite_api::LITE_POWER_LOW;
} else if (mode == "LITE_POWER_FULL") {
return paddle::lite_api::LITE_POWER_FULL;
} else if (mode == "LITE_POWER_RAND_HIGH") {
return paddle::lite_api::LITE_POWER_RAND_HIGH;
} else if (mode == "LITE_POWER_RAND_LOW") {
return paddle::lite_api::LITE_POWER_RAND_LOW;
}
return paddle::lite_api::LITE_POWER_NO_BIND;
}
void NHWC3ToNC3HW(const float *src, float *dst, const float *mean,
const float *std, int width, int height);
void NHWC1ToNC1HW(const float *src, float *dst, const float *mean,
const float *std, int width, int height);
// Recognise Result
struct RectResult {
std::string class_name;
int class_id;
float score;
};
// Object Detection Result
struct ObjectResult {
// Rectangle coordinates of detected object: left, right, top, down
std::vector<int> rect;
// Class id of detected object
int class_id;
// Confidence of detected object
float confidence;
// RecModel result
std::vector<RectResult> rec_result;
};
// Object for storing all preprocessed data
class ImageBlob {
public: // NOLINT
// image width and height
std::vector<float> im_shape_;
// Buffer for image data after preprocessing
std::vector<float> im_data_;
// in net data shape(after pad)
std::vector<float> in_net_shape_;
// Evaluation image width and height
// std::vector<float> eval_im_size_f_;
// Scale factor for image size to origin image size
std::vector<float> scale_factor_;
};
void nms(std::vector<ObjectResult> *input_boxes, float nms_threshold,
bool rec_nms = false);
void neon_mean_scale(const float *din, float *dout, int size, float *mean,
float *scale);
void activation_function_softmax(const float *src, float *dst, int length);
inline double GetCurrentUS() {
struct timeval time;
gettimeofday(&time, NULL);
return 1e+6 * time.tv_sec + time.tv_usec;
}
deploy/shitu_android_demo/app/src/main/cpp/VectorSearch.cc 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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 "VectorSearch.h"
#include "Utils.h"
#include <cstdio>
#include <fstream>
#include <iostream>
#include <regex>
#include <sys/stat.h>
#include <unistd.h>
void VectorSearch::LoadIndexFile() {
//"/storage/emulated/0/Android/data/com.baidu.paddle.lite.demo.pp_shitu/files/index/vector.index"
std::string file_path = this->index_path;
const char *fname = file_path.c_str();
this->index = faiss::read_index(fname, 0);
}
// load id_map.txt
void VectorSearch::LoadIdMap() {
std::string file_path = this->label_path;
std::ifstream in(file_path);
std::string line;
std::vector<std::string> m_vec;
if (in) {
while (getline(in, line)) {
std::regex ws_re("\\s+");
std::vector<std::string> v(
std::sregex_token_iterator(line.begin(), line.end(), ws_re, -1),
std::sregex_token_iterator());
if (v.size() != 2) {
std::cout << "The number of element for each line in : " << file_path
<< "must be 2, exit the program..." << std::endl;
exit(1);
} else
this->id_map.insert(std::pair<long int, std::string>(
std::stol(v[0], nullptr, 10), v[1]));
}
}
}
// doing search
const SearchResult &VectorSearch::Search(float *feature, int query_number) {
this->D.resize(this->return_k * query_number);
this->I.resize(this->return_k * query_number);
this->index->search(query_number, feature, return_k, D.data(), I.data());
this->sr.return_k = this->return_k;
this->sr.D = this->D;
this->sr.I = this->I;
return this->sr;
}
std::string VectorSearch::GetLabel(faiss::Index::idx_t ind) {
if (this->id_map.count(ind)) {
return this->id_map[ind];
} else {
return "None";
}
}
int VectorSearch::AddFeature(float *feature, const std::string &label) {
this->index->add(1, feature);
int id = (int)(this->id_map.size());
if (!label.empty()) {
this->id_map.insert(std::pair<long int, std::string>(id, label));
} else {
this->id_map.insert(
std::pair<long int, std::string>(id, std::to_string(id)));
}
return (int)(this->index->ntotal);
}
void VectorSearch::SaveIndex(const std::string &save_file_name) {
// save_file_name 为无后缀的文件名字，如 vector、vector_new 等
std::string file_path_index, file_path_labelmap;
if (save_file_name.empty()) {
file_path_index = this->index_path;
file_path_labelmap = this->label_path;
} else {
int begin_pos = (int)this->index_path.find_last_of('/') + 1;
int end_pos = (int)this->index_path.find_last_of('.');
int replace_len = end_pos - begin_pos;
file_path_index =
this->index_path.replace(begin_pos, replace_len, save_file_name);
begin_pos = (int)this->label_path.find_last_of('/') + 1;
end_pos = (int)this->label_path.find_last_of('.');
replace_len = end_pos - begin_pos;
file_path_labelmap =
this->label_path.replace(begin_pos, replace_len, save_file_name);
}
// save index
faiss::write_index(this->index, file_path_index.c_str());
LOGD("index file saved at [%s]", file_path_index.c_str());
// save label_map
std::ofstream out(file_path_labelmap);
std::map<long int, std::string>::iterator iter;
for (iter = this->id_map.begin(); iter != this->id_map.end(); iter++) {
std::string content = std::to_string(iter->first) + " " + iter->second;
out.write(content.c_str(), (int)content.size());
out << std::endl;
}
out.close();
}
void VectorSearch::ClearFeature() {
this->index->reset();
this->id_map.clear();
LOGD("=========================features cleard");
}
const float &VectorSearch::GetThreshold() const { return this->score_thres; }
bool file_exist(const std::string &file_name) {
return access(file_name.c_str(), F_OK) != -1;
}
bool VectorSearch::LoadFromSaveFileName(const std::string &load_file_name) {
std::string origin_label_path = GetLabelPath();
int begin_pos = (int)origin_label_path.find_last_of('/') + 1;
int end_pos = (int)origin_label_path.find_last_of('.');
int replace_len = end_pos - begin_pos;
std::string new_label_path =
origin_label_path.replace(begin_pos, replace_len, load_file_name);
std::string origin_index_path = GetIndexPath();
begin_pos = (int)origin_index_path.find_last_of('/') + 1;
end_pos = (int)origin_index_path.find_last_of('.');
replace_len = end_pos - begin_pos;
std::string new_index_path =
origin_index_path.replace(begin_pos, replace_len, load_file_name);
if (!file_exist(new_label_path) || !file_exist(new_index_path)) {
return false;
}
this->label_path = new_label_path;
this->id_map.clear();
LoadIdMap();
this->index_path = new_index_path;
LoadIndexFile();
return true;
}
std::vector<std::string> VectorSearch::GetLabelList() const {
std::vector<std::string> tmp;
for (const auto &it : this->id_map) {
tmp.emplace_back(it.second);
}
std::sort(tmp.begin(), tmp.end());
tmp.erase(unique(tmp.begin(), tmp.end()), tmp.end());
return tmp;
}
deploy/shitu_android_demo/app/src/main/cpp/VectorSearch.h 0 → 100644
浏览文件 @ 0655709e
// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
//
// 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.
#pragma once
#ifdef WIN32
#define OS_PATH_SEP "\\"
#else
#define OS_PATH_SEP "/"
#endif
#include "include/faiss/Index.h"
#include "include/faiss/index_io.h"
#include <cstring>
#include <map>
#include <vector>
struct SearchResult {
std::vector<faiss::Index::idx_t> I;
std::vector<float> D;
int return_k;
};
class VectorSearch {
public:
explicit VectorSearch(const std::string &label_path,
const std::string &index_path, const int &return_k = 5,
const float &score_thres = 0.5) {
// // IndexProcess
this->label_path = label_path;
this->index_path = index_path;
this->return_k = return_k;
this->score_thres = score_thres;
LoadIdMap();
LoadIndexFile();
this->I.resize(this->return_k * this->max_query_number);
this->D.resize(this->return_k * this->max_query_number);
printf("faiss index load success!\n");
};
void LoadIdMap();
bool LoadFromSaveFileName(const std::string &load_file_name);
void LoadIndexFile();
int AddFeature(float *feature, const std::string &label = "");
const SearchResult &Search(float *feature, int query_number);
const int GetIndexLength() { return this->index->ntotal; }
void SaveIndex(const std::string &save_path = "");
std::string GetIndexPath() { return this->index_path; }
std::string GetLabelPath() { return this->label_path; }
std::string GetLabel(faiss::Index::idx_t ind);
void ClearFeature();
const float &GetThreshold() const;
std::vector<std::string> GetLabelList() const;
private:
std::string index_path;
std::string label_path;
int return_k = 5;
float score_thres = 0.5;
std::map<long int, std::string> id_map;
faiss::Index *index;
int max_query_number = 6;
std::vector<float> D;
std::vector<faiss::Index::idx_t> I;
SearchResult sr;
};
deploy/shitu_android_demo/app/src/main/java/com/baidu/paddle/lite/demo/common/AppCompatPreferenceActivity.java 0 → 100644
浏览文件 @ 0655709e
/*
* Copyright (C) 2014 The Android Open Source Project
*
* 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.baidu.paddle.lite.demo.common;
import android.content.res.Configuration;
import android.os.Bundle;
import android.preference.PreferenceActivity;
import android.support.annotation.LayoutRes;
import android.support.annotation.Nullable;
import android.support.v7.app.ActionBar;
import android.support.v7.app.AppCompatDelegate;
import android.support.v7.widget.Toolbar;
import android.view.MenuInflater;
import android.view.View;
import android.view.ViewGroup;
/**
* A {@link PreferenceActivity} which implements and proxies the necessary calls
* to be used with AppCompat.
* <p>
* This technique can be used with an {@link android.app.Activity} class, not just
* {@link PreferenceActivity}.
*/
public abstract class AppCompatPreferenceActivity extends PreferenceActivity {
private AppCompatDelegate mDelegate;
@Override
protected void onCreate(Bundle savedInstanceState) {
getDelegate().installViewFactory();
getDelegate().onCreate(savedInstanceState);
super.onCreate(savedInstanceState);
}
@Override
protected void onPostCreate(Bundle savedInstanceState) {
super.onPostCreate(savedInstanceState);
getDelegate().onPostCreate(savedInstanceState);
}
public ActionBar getSupportActionBar() {
return getDelegate().getSupportActionBar();
}
public void setSupportActionBar(@Nullable Toolbar toolbar) {
getDelegate().setSupportActionBar(toolbar);
}
@Override
public MenuInflater getMenuInflater() {
return getDelegate().getMenuInflater();
}
@Override
public void setContentView(@LayoutRes int layoutResID) {
getDelegate().setContentView(layoutResID);
}
@Override
public void setContentView(View view) {
getDelegate().setContentView(view);
}
@Override
public void setContentView(View view, ViewGroup.LayoutParams params) {
getDelegate().setContentView(view, params);
}
@Override
public void addContentView(View view, ViewGroup.LayoutParams params) {
getDelegate().addContentView(view, params);
}
@Override
protected void onPostResume() {
super.onPostResume();
getDelegate().onPostResume();
}
@Override
protected void onTitleChanged(CharSequence title, int color) {
super.onTitleChanged(title, color);
getDelegate().setTitle(title);
}
@Override
public void onConfigurationChanged(Configuration newConfig) {
super.onConfigurationChanged(newConfig);
getDelegate().onConfigurationChanged(newConfig);
}
@Override
protected void onStop() {
super.onStop();
getDelegate().onStop();
}
@Override
protected void onDestroy() {
super.onDestroy();
getDelegate().onDestroy();
}
public void invalidateOptionsMenu() {
getDelegate().invalidateOptionsMenu();
}
private AppCompatDelegate getDelegate() {
if (mDelegate == null) {
mDelegate = AppCompatDelegate.create(this, null);
}
return mDelegate;
}
}
deploy/shitu_android_demo/app/src/main/java/com/baidu/paddle/lite/demo/common/Utils.java 0 → 100644
浏览文件 @ 0655709e
/*
* Copyright (C) 2014 The Android Open Source Project
*
* 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.baidu.paddle.lite.demo.common;
import android.content.Context;
import android.content.res.AssetManager;
import android.content.pm.PackageManager;
import android.content.res.Resources;
import android.hardware.Camera;
import android.opengl.GLES20;
import android.os.Environment;
import android.util.Log;
import android.view.Surface;
import android.view.WindowManager;
import java.io.*;
import java.util.List;
public class Utils {
private static final String TAG = Utils.class.getSimpleName();
public static void RecursiveCreateDirectories(String fileDir) {
String[] fileDirs = fileDir.split("\\/");
String topPath = "";
for (int i = 0; i < fileDirs.length; i++) {
topPath += "/" + fileDirs[i];
File file = new File(topPath);
if (file.exists()) {
continue;
} else {
file.mkdir();
}
}
}
public static void copyFileFromAssets(Context appCtx, String srcPath, String dstPath) {
if (srcPath.isEmpty() || dstPath.isEmpty()) {
return;
}
String dstDir = dstPath.substring(0, dstPath.lastIndexOf('/'));
if (dstDir.length() > 0) {
RecursiveCreateDirectories(dstDir);
}
InputStream is = null;
OutputStream os = null;
if (new File(dstPath).exists())
{
return ;
}
try {
is = new BufferedInputStream(appCtx.getAssets().open(srcPath));
os = new BufferedOutputStream(new FileOutputStream(new File(dstPath)));
byte[] buffer = new byte[1024];
int length = 0;
while ((length = is.read(buffer)) != -1) {
os.write(buffer, 0, length);
}
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
} finally {
try {
os.close();
is.close();
} catch (IOException e) {
e.printStackTrace();
}
}
}
public static void copyDirectoryFromAssets(Context appCtx, String srcDir, String dstDir) {
if (srcDir.isEmpty() || dstDir.isEmpty()) {
return;
}
try {
if (!new File(dstDir).exists()) {
new File(dstDir).mkdirs();
}
for (String fileName : appCtx.getAssets().list(srcDir)) {
String srcSubPath = srcDir + File.separator + fileName;
String dstSubPath = dstDir + File.separator + fileName;
if (new File(srcSubPath).isDirectory()) {
copyDirectoryFromAssets(appCtx, srcSubPath, dstSubPath);
} else {
copyFileFromAssets(appCtx, srcSubPath, dstSubPath);
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
public static float[] parseFloatsFromString(String string, String delimiter) {
String[] pieces = string.trim().toLowerCase().split(delimiter);
float[] floats = new float[pieces.length];
for (int i = 0; i < pieces.length; i++) {
floats[i] = Float.parseFloat(pieces[i].trim());
}
return floats;
}
public static long[] parseLongsFromString(String string, String delimiter) {
String[] pieces = string.trim().toLowerCase().split(delimiter);
long[] longs = new long[pieces.length];
for (int i = 0; i < pieces.length; i++) {
longs[i] = Long.parseLong(pieces[i].trim());
}
return longs;
}
public static String getSDCardDirectory() {
return Environment.getExternalStorageDirectory().getAbsolutePath();
}
public static String getDCIMDirectory() {
return Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_DCIM).getAbsolutePath();
}
public static Camera.Size getOptimalPreviewSize(List<Camera.Size> sizes, int w, int h) {
final double ASPECT_TOLERANCE = 0.1;
double targetRatio = (double) w / h;
if (sizes == null) return null;
Camera.Size optimalSize = null;
double minDiff = Double.MAX_VALUE;
int targetHeight = h;
// Try to find an size match aspect ratio and size
for (Camera.Size size : sizes) {
double ratio = (double) size.width / size.height;
if (Math.abs(ratio - targetRatio) > ASPECT_TOLERANCE) continue;
if (Math.abs(size.height - targetHeight) < minDiff) {
optimalSize = size;
minDiff = Math.abs(size.height - targetHeight);
}
}
// Cannot find the one match the aspect ratio, ignore the requirement
if (optimalSize == null) {
minDiff = Double.MAX_VALUE;
for (Camera.Size size : sizes) {
if (Math.abs(size.height - targetHeight) < minDiff) {
optimalSize = size;
minDiff = Math.abs(size.height - targetHeight);
}
}
}
return optimalSize;
}
public static int getScreenWidth() {
return Resources.getSystem().getDisplayMetrics().widthPixels;
}
public static int getScreenHeight() {
return Resources.getSystem().getDisplayMetrics().heightPixels;
}
public static int getCameraDisplayOrientation(Context context, int cameraId) {
android.hardware.Camera.CameraInfo info = new android.hardware.Camera.CameraInfo();
android.hardware.Camera.getCameraInfo(cameraId, info);
WindowManager wm = (WindowManager) context.getSystemService(Context.WINDOW_SERVICE);
int rotation = wm.getDefaultDisplay().getRotation();
int degrees = 0;
switch (rotation) {
case Surface.ROTATION_0:
degrees = 0;
break;
case Surface.ROTATION_90:
degrees = 90;
break;
case Surface.ROTATION_180:
degrees = 180;
break;
case Surface.ROTATION_270:
degrees = 270;
break;
}
int result;
if (info.facing == Camera.CameraInfo.CAMERA_FACING_FRONT) {
result = (info.orientation + degrees) % 360;
result = (360 - result) % 360; // compensate the mirror
} else {
// back-facing
result = (info.orientation - degrees + 360) % 360;
}
return result;
}
public static int createShaderProgram(String vss, String fss) {
int vshader = GLES20.glCreateShader(GLES20.GL_VERTEX_SHADER);
GLES20.glShaderSource(vshader, vss);
GLES20.glCompileShader(vshader);
int[] status = new int[1];
GLES20.glGetShaderiv(vshader, GLES20.GL_COMPILE_STATUS, status, 0);
if (status[0] == 0) {
Log.e(TAG, GLES20.glGetShaderInfoLog(vshader));
GLES20.glDeleteShader(vshader);
vshader = 0;
return 0;
}
int fshader = GLES20.glCreateShader(GLES20.GL_FRAGMENT_SHADER);
GLES20.glShaderSource(fshader, fss);
GLES20.glCompileShader(fshader);
GLES20.glGetShaderiv(fshader, GLES20.GL_COMPILE_STATUS, status, 0);
if (status[0] == 0) {
Log.e(TAG, GLES20.glGetShaderInfoLog(fshader));
GLES20.glDeleteShader(vshader);
GLES20.glDeleteShader(fshader);
fshader = 0;
return 0;
}
int program = GLES20.glCreateProgram();
GLES20.glAttachShader(program, vshader);
GLES20.glAttachShader(program, fshader);
GLES20.glLinkProgram(program);
GLES20.glDeleteShader(vshader);
GLES20.glDeleteShader(fshader);
GLES20.glGetProgramiv(program, GLES20.GL_LINK_STATUS, status, 0);
if (status[0] == 0) {
Log.e(TAG, GLES20.glGetProgramInfoLog(program));
program = 0;
return 0;
}
GLES20.glValidateProgram(program);
GLES20.glGetProgramiv(program, GLES20.GL_VALIDATE_STATUS, status, 0);
if (status[0] == 0) {
Log.e(TAG, GLES20.glGetProgramInfoLog(program));
GLES20.glDeleteProgram(program);
program = 0;
return 0;
}
return program;
}
public static boolean isSupportedNPU() {
String hardware = android.os.Build.HARDWARE;
return hardware.equalsIgnoreCase("kirin810") || hardware.equalsIgnoreCase("kirin990");
}
}
deploy/shitu_android_demo/app/src/main/java/com/baidu/paddle/lite/demo/pp_shitu/Native.java 0 → 100644
浏览文件 @ 0655709e
/*
* Copyright (C) 2014 The Android Open Source Project
*
* 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.baidu.paddle.lite.demo.pp_shitu;
import android.graphics.Bitmap;
import android.util.Log;
import java.util.Arrays;
public class Native {
static {
System.loadLibrary("Native");
}
protected Bitmap inputImage = null;
protected long[] detinputShape = new long[]{1, 3, 640, 640};
protected long[] recinputShape = new long[]{1, 3, 224, 224};
protected float inferenceTime = 0;
protected String top1Result = "";
protected int topk = 1;
protected boolean addGallery = false;
protected String label_name = "";
protected boolean clearFeature = false;
private long ctx = 0;
public boolean init(String DetModelDir,
String RecModelDir,
String labelPath,
String IndexDir,
long[] DetInputShape,
long[] RecInputShape,
int cpuThreadNum,
int WarmUp,
int Repeat,
int topk,
boolean add_gallery,
String cpuMode) {
if (DetInputShape.length != 4) {
Log.i("Paddle-lite", "Size of input shape should be: 4");
return false;
}
if (DetInputShape[0] != 1) {
Log.i("Paddle-lite", "Only one batch is supported in the image classification demo, you can use any batch size in " +
"your Apps!");
return false;
}
if (DetInputShape[1] != 1 && DetInputShape[1] != 3) {
Log.i("Paddle-lite", "Only one/three channels are supported in the image classification demo, you can use any " +
"channel size in your Apps!");
return false;
}
this.detinputShape = DetInputShape;
this.recinputShape = RecInputShape;
this.topk = topk;
this.addGallery = add_gallery;
ctx = nativeInit(
DetModelDir,
RecModelDir,
labelPath,
IndexDir,
DetInputShape,
RecInputShape,
cpuThreadNum,
WarmUp,
Repeat,
topk,
add_gallery,
cpuMode);
return ctx != 0;
}
public boolean release() {
if (ctx == 0) {
return false;
}
return nativeRelease(ctx);
}
public void setAddGallery(int flag) {
nativesetAddGallery(ctx, flag);
}
public void saveIndex(String save_file_name) {
nativesaveIndex(ctx, save_file_name);
}
public boolean loadIndex(String load_file_name) {
return nativeloadIndex(ctx, load_file_name);
}
public void clearFeature() {
boolean ret = nativeclearGallery(ctx);
}
public void setLabelName(String label_name) {
this.label_name = label_name;
}
public String getClassname() {
return nativegetClassname(ctx);
}
public boolean process() {
if (ctx == 0) {
return false;
}
// ARGB8888 bitmap is only supported in native, other color formats can be added by yourself.
String[] res = nativeProcess(ctx, this.inputImage, label_name).split("\n");
if (res.length >= 1) {
if (!Arrays.toString(res).contains("success")) {
inferenceTime = Float.parseFloat(res[0]);
if (res.length >= 2) {
top1Result = res[1];
} else {
top1Result = "";
}
}
}
return (res.length > 0);
}
public boolean isLoaded() {
return ctx != 0;
}
public void setInputImage(Bitmap image) {
if (image == null) {
return;
}
this.inputImage = image.copy(Bitmap.Config.ARGB_8888, true);
}
public float inferenceTime() {
inferenceTime = (float) (Math.round(inferenceTime * 100)) / 100;
return inferenceTime;
}
public Bitmap inputImage() {
return inputImage;
}
public String top1Result() {
return top1Result;
}
public static native long nativeInit(String DetModelDir,
String RecModelDir,
String labelPath,
String IndexDir,
long[] DetInputShape,
long[] RecInputShape,
int cpuThreadNum,
int WarmUp,
int Repeat,
int topk,
boolean addGallery,
String cpuMode);
public static native boolean nativeRelease(long ctx);
public static native boolean nativesetAddGallery(long ctx, int flag);
public static native boolean nativeclearGallery(long ctx);
public static native String nativeProcess(long ctx, Bitmap ARGB888ImageBitmap, String label_name);
public static native boolean nativesaveIndex(long ctx, String save_file_name);
public static native boolean nativeloadIndex(long ctx, String load_file_name);
public static native String nativegetClassname(long ctx);
}
deploy/shitu_android_demo/app/src/main/java/com/baidu/paddle/lite/demo/pp_shitu/SettingsActivity.java 0 → 100644
浏览文件 @ 0655709e
/*
* Copyright (C) 2014 The Android Open Source Project
*
* 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.baidu.paddle.lite.demo.pp_shitu;
import android.app.AlertDialog;
import android.content.SharedPreferences;
import android.os.Bundle;
import android.preference.ListPreference;
import android.support.v7.app.ActionBar;
import android.view.View;
import android.widget.Button;
import android.widget.ListView;
import android.widget.Toast;
import com.baidu.paddle.lite.demo.common.AppCompatPreferenceActivity;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.util.ArrayList;
import java.util.List;
import java.util.Objects;
public class SettingsActivity extends AppCompatPreferenceActivity implements SharedPreferences.OnSharedPreferenceChangeListener {
ListPreference lpChoosePreInstalledModel = null;
ListPreference lpLabelPath = null;
ListPreference lpIndexPath = null;
List<String> preInstalledModelPaths = null;
List<String> preInstalledLabelPaths = null;
List<String> preInstalledIndexDirs = null;
List<String> preInstalledImagePaths = null;
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
addPreferencesFromResource(R.xml.settings);
ActionBar supportActionBar = getSupportActionBar();
if (supportActionBar != null) {
supportActionBar.setDisplayHomeAsUpEnabled(true);
}
// Initialized pre-installed models
preInstalledModelPaths = new ArrayList<>();
preInstalledLabelPaths = new ArrayList<>();
preInstalledIndexDirs = new ArrayList<>();
preInstalledImagePaths = new ArrayList<>();
// Add mobilenet_v1_for_cpu
preInstalledModelPaths.add(getString(R.string.MODEL_PATH_DEFAULT));
preInstalledLabelPaths.add(getString(R.string.LABEL_PATH_DEFAULT));
preInstalledIndexDirs.add(getString(R.string.INDEX_PATH_DEFAULT));
preInstalledImagePaths.add(getString(R.string.IMAGE_PATH_DEFAULT));
// Setup UI components
lpChoosePreInstalledModel =
(ListPreference) findPreference(getString(R.string.CHOOSE_PRE_INSTALLED_MODEL_KEY));
String[] preInstalledModelNames = new String[preInstalledModelPaths.size()];
for (int i = 0; i < preInstalledModelPaths.size(); i++) {
preInstalledModelNames[i] =
preInstalledModelPaths.get(i).substring(preInstalledModelPaths.get(i).lastIndexOf("/") + 1);
}
lpChoosePreInstalledModel.setEntries(preInstalledModelNames);
lpChoosePreInstalledModel.setEntryValues(preInstalledModelPaths.toArray(new String[preInstalledModelPaths.size()]));
lpLabelPath = (ListPreference) findPreference(getString(R.string.LABEL_PATH_KEY));
String label_dir = getExternalFilesDir(null) + "/index/";
File dir = new File(label_dir);
String[] files = dir.list();
ArrayList<String> files_ = new ArrayList<>();
for (int i = 0; i < Objects.requireNonNull(files).length; i++) {
if (!files[i].endsWith(".txt")) {
continue;
}
files_.add("index/" + files[i]);
files[i] = label_dir + files[i];
}
lpLabelPath.setEntries(files_.toArray(new String[files_.size()]));
lpLabelPath.setEntryValues(files_.toArray(new String[files_.size()]));
lpIndexPath = (ListPreference) findPreference(getString(R.string.INDEX_PATH_KEY));
String index_dir = getExternalFilesDir(null) + "/index/";
dir = new File(index_dir);
files = dir.list();
files_ = new ArrayList<>();
for (int i = 0; i < Objects.requireNonNull(files).length; i++) {
if (!files[i].endsWith(".index")) {
continue;
}
files_.add("index/" + files[i]);
files[i] = index_dir + files[i];
}
lpIndexPath.setEntries(files_.toArray(new String[files_.size()]));
lpIndexPath.setEntryValues(files_.toArray(new String[files_.size()]));
}
private void reloadPreferenceAndUpdateUI() {
SharedPreferences sharedPreferences = getPreferenceScreen().getSharedPreferences();
String modelPath = "models";
int modelIdx = lpChoosePreInstalledModel.findIndexOfValue(modelPath);
if (modelIdx >= 0 && modelIdx < preInstalledModelPaths.size()) {
lpChoosePreInstalledModel.setSummary(modelPath);
}
String labelPath = sharedPreferences.getString(getString(R.string.LABEL_PATH_KEY),
getString(R.string.LABEL_PATH_DEFAULT));
String indexPath = sharedPreferences.getString(getString(R.string.INDEX_PATH_KEY),
getString(R.string.INDEX_PATH_DEFAULT));
lpLabelPath.setSummary(labelPath);
lpIndexPath.setSummary(indexPath);
}
@Override
protected void onResume() {
super.onResume();
getPreferenceScreen().getSharedPreferences().registerOnSharedPreferenceChangeListener(this);
reloadPreferenceAndUpdateUI();
}
@Override
protected void onPause() {
super.onPause();
getPreferenceScreen().getSharedPreferences().unregisterOnSharedPreferenceChangeListener(this);
}
@Override
public void onSharedPreferenceChanged(SharedPreferences sharedPreferences, String key) {
reloadPreferenceAndUpdateUI();
}
}
deploy/shitu_android_demo/app/src/main/res/drawable-v24/ic_launcher_foreground.xml 0 → 100644
浏览文件 @ 0655709e
<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:fillType="evenOdd"
android:pathData="M32,64C32,64 38.39,52.99 44.13,50.95C51.37,48.37 70.14,49.57 70.14,49.57L108.26,87.69L108,109.01L75.97,107.97L32,64Z"
android:strokeWidth="1"
android:strokeColor="#00000000">
<aapt:attr name="android:fillColor">
<gradient
android:endX="78.5885"
android:endY="90.9159"
android:startX="48.7653"
android:startY="61.0927"
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="M66.94,46.02L66.94,46.02C72.44,50.07 76,56.61 76,64L32,64C32,56.61 35.56,50.11 40.98,46.06L36.18,41.19C35.45,40.45 35.45,39.3 36.18,38.56C36.91,37.81 38.05,37.81 38.78,38.56L44.25,44.05C47.18,42.57 50.48,41.71 54,41.71C57.48,41.71 60.78,42.57 63.68,44.05L69.11,38.56C69.84,37.81 70.98,37.81 71.71,38.56C72.44,39.3 72.44,40.45 71.71,41.19L66.94,46.02ZM62.94,56.92C64.08,56.92 65,56.01 65,54.88C65,53.76 64.08,52.85 62.94,52.85C61.8,52.85 60.88,53.76 60.88,54.88C60.88,56.01 61.8,56.92 62.94,56.92ZM45.06,56.92C46.2,56.92 47.13,56.01 47.13,54.88C47.13,53.76 46.2,52.85 45.06,52.85C43.92,52.85 43,53.76 43,54.88C43,56.01 43.92,56.92 45.06,56.92Z"
android:strokeWidth="1"
android:strokeColor="#00000000" />
</vector>
deploy/shitu_android_demo/app/src/main/res/drawable/btn_settings.xml 0 → 100644
浏览文件 @ 0655709e
<?xml version="1.0" encoding="utf-8"?>
<selector xmlns:android="http://schemas.android.com/apk/res/android">
<item android:state_pressed="true" android:drawable="@drawable/btn_settings_pressed"/>
<item android:drawable="@drawable/btn_settings_default"/>
</selector>
deploy/shitu_android_demo/app/src/main/res/drawable/btn_settings_default.xml 0 → 100644
浏览文件 @ 0655709e
<?xml version="1.0" encoding="utf-8"?>
<vector xmlns:android="http://schemas.android.com/apk/res/android"
android:width="24dp"
android:height="24dp"
android:viewportWidth="24"
android:viewportHeight="24">
<path
android:fillColor="#FFFFFF"
android:fillType="evenOdd"
android:pathData="M10.4696,3.5L9.8539,5.2714C9.7605,5.5401 9.5784,5.7688 9.3375,5.9199L8.0854,6.7054C7.8421,6.8581 7.5537,6.9223 7.2686,6.8872L5.3518,6.6517L3.9124,9.0649L4.9862,10.3888C5.1668,10.6114 5.2654,10.8894 5.2654,11.1762L5.2654,12.9051C5.2654,13.2057 5.157,13.4963 4.9602,13.7235L3.9165,14.9283L5.3573,17.4236L7.264,17.1741C7.5472,17.137 7.8344,17.198 8.0781,17.3469L9.401,18.1555C9.655,18.3107 9.8452,18.5515 9.9375,18.8345L10.4806,20.5L13.5194,20.5L14.0625,18.8345C14.1548,18.5515 14.345,18.3107 14.599,18.1555L15.9219,17.3469C16.1656,17.198 16.4528,17.137 16.736,17.1741L18.6427,17.4236L20.0835,14.9283L19.0398,13.7235C18.843,13.4963 18.7346,13.2057 18.7346,12.9051L18.7346,11.1762C18.7346,10.8894 18.8332,10.6114 19.0138,10.3888L20.0876,9.0649L18.6482,6.6517L16.7314,6.8872C16.4463,6.9223 16.1579,6.8581 15.9146,6.7054L14.6629,5.9202C14.4221,5.7691 14.2399,5.5404 14.1466,5.2718L13.5305,3.5L10.4696,3.5ZM8.4659,4.696L9.1111,2.8396C9.2858,2.3369 9.7596,2 10.2918,2L13.7083,2C14.2404,2 14.7142,2.3369 14.8889,2.8395L15.5345,4.6962L16.6366,5.3876L18.6269,5.143C19.1184,5.0826 19.5993,5.318 19.8529,5.7433L21.4653,8.4465C21.7339,8.8968 21.6928,9.4669 21.3625,9.8742L20.2346,11.2648L20.2346,12.8118L21.3338,14.0807C21.6826,14.4833 21.7379,15.0628 21.4715,15.5241L19.8583,18.3182C19.6057,18.7557 19.1145,18.9982 18.6136,18.9326L16.6288,18.6728L15.46,19.3872L14.8893,21.1375C14.7216,21.6519 14.2419,22 13.7009,22L10.2991,22C9.7581,22 9.2784,21.6519 9.1107,21.1375L8.54,19.3872L7.3712,18.6728L5.3864,18.9326C4.8855,18.9982 4.3943,18.7557 4.1417,18.3182L2.5285,15.5241C2.2621,15.0628 2.3174,14.4833 2.6662,14.0807L3.7654,12.8118L3.7654,11.2648L2.6375,9.8742C2.3072,9.4669 2.2661,8.8968 2.5347,8.4465L4.1471,5.7433C4.4007,5.318 4.8816,5.0826 5.3731,5.143L7.3634,5.3876L8.4659,4.696ZM12,15.75C9.9289,15.75 8.25,14.0711 8.25,12C8.25,9.9289 9.9289,8.25 12,8.25C14.0711,8.25 15.75,9.9289 15.75,12C15.75,14.0711 14.0711,15.75 12,15.75ZM12,14.75C13.5188,14.75 14.75,13.5188 14.75,12C14.75,10.4812 13.5188,9.25 12,9.25C10.4812,9.25 9.25,10.4812 9.25,12C9.25,13.5188 10.4812,14.75 12,14.75Z"
android:strokeWidth="0"
android:strokeColor="#00000000" />
</vector>
deploy/shitu_android_demo/app/src/main/res/drawable/btn_settings_pressed.xml 0 → 100644
浏览文件 @ 0655709e
<?xml version="1.0" encoding="utf-8"?>
<vector xmlns:android="http://schemas.android.com/apk/res/android"
android:width="24dp"
android:height="24dp"
android:viewportWidth="24"
android:viewportHeight="24">
<path
android:fillColor="#bcbcbc"
android:fillType="evenOdd"
android:pathData="M10.4696,3.5L9.8539,5.2714C9.7605,5.5401 9.5784,5.7688 9.3375,5.9199L8.0854,6.7054C7.8421,6.8581 7.5537,6.9223 7.2686,6.8872L5.3518,6.6517L3.9124,9.0649L4.9862,10.3888C5.1668,10.6114 5.2654,10.8894 5.2654,11.1762L5.2654,12.9051C5.2654,13.2057 5.157,13.4963 4.9602,13.7235L3.9165,14.9283L5.3573,17.4236L7.264,17.1741C7.5472,17.137 7.8344,17.198 8.0781,17.3469L9.401,18.1555C9.655,18.3107 9.8452,18.5515 9.9375,18.8345L10.4806,20.5L13.5194,20.5L14.0625,18.8345C14.1548,18.5515 14.345,18.3107 14.599,18.1555L15.9219,17.3469C16.1656,17.198 16.4528,17.137 16.736,17.1741L18.6427,17.4236L20.0835,14.9283L19.0398,13.7235C18.843,13.4963 18.7346,13.2057 18.7346,12.9051L18.7346,11.1762C18.7346,10.8894 18.8332,10.6114 19.0138,10.3888L20.0876,9.0649L18.6482,6.6517L16.7314,6.8872C16.4463,6.9223 16.1579,6.8581 15.9146,6.7054L14.6629,5.9202C14.4221,5.7691 14.2399,5.5404 14.1466,5.2718L13.5305,3.5L10.4696,3.5ZM8.4659,4.696L9.1111,2.8396C9.2858,2.3369 9.7596,2 10.2918,2L13.7083,2C14.2404,2 14.7142,2.3369 14.8889,2.8395L15.5345,4.6962L16.6366,5.3876L18.6269,5.143C19.1184,5.0826 19.5993,5.318 19.8529,5.7433L21.4653,8.4465C21.7339,8.8968 21.6928,9.4669 21.3625,9.8742L20.2346,11.2648L20.2346,12.8118L21.3338,14.0807C21.6826,14.4833 21.7379,15.0628 21.4715,15.5241L19.8583,18.3182C19.6057,18.7557 19.1145,18.9982 18.6136,18.9326L16.6288,18.6728L15.46,19.3872L14.8893,21.1375C14.7216,21.6519 14.2419,22 13.7009,22L10.2991,22C9.7581,22 9.2784,21.6519 9.1107,21.1375L8.54,19.3872L7.3712,18.6728L5.3864,18.9326C4.8855,18.9982 4.3943,18.7557 4.1417,18.3182L2.5285,15.5241C2.2621,15.0628 2.3174,14.4833 2.6662,14.0807L3.7654,12.8118L3.7654,11.2648L2.6375,9.8742C2.3072,9.4669 2.2661,8.8968 2.5347,8.4465L4.1471,5.7433C4.4007,5.318 4.8816,5.0826 5.3731,5.143L7.3634,5.3876L8.4659,4.696ZM12,15.75C9.9289,15.75 8.25,14.0711 8.25,12C8.25,9.9289 9.9289,8.25 12,8.25C14.0711,8.25 15.75,9.9289 15.75,12C15.75,14.0711 14.0711,15.75 12,15.75ZM12,14.75C13.5188,14.75 14.75,13.5188 14.75,12C14.75,10.4812 13.5188,9.25 12,9.25C10.4812,9.25 9.25,10.4812 9.25,12C9.25,13.5188 10.4812,14.75 12,14.75Z"
android:strokeWidth="0"
android:strokeColor="#00000000" />
</vector>
deploy/shitu_android_demo/app/src/main/res/drawable/btn_shutter.xml 0 → 100644
浏览文件 @ 0655709e
<?xml version="1.0" encoding="utf-8"?>
<selector xmlns:android="http://schemas.android.com/apk/res/android">
<item android:state_pressed="true" android:drawable="@drawable/btn_shutter_pressed"/>
<item android:drawable="@drawable/btn_shutter_default"/>
</selector>
deploy/shitu_android_demo/app/src/main/res/drawable/btn_shutter_default.xml 0 → 100644
浏览文件 @ 0655709e
<?xml version="1.0" encoding="utf-8"?>
<vector xmlns:android="http://schemas.android.com/apk/res/android"
android:height="201dp"
android:width="201dp"
android:viewportWidth="201"
android:viewportHeight="201">
<path
android:fillColor="#ffffff"
android:pathData="M 100.5 0 C 156.004617358 0 201 44.995382642 201 100.5 C 201 156.004617358 156.004617358 201 100.5 201 C 44.995382642 201 0 156.004617358 0 100.5 C 0 44.995382642 44.995382642 0 100.5 0 Z"
android:strokeWidth="1"
android:fillType="evenOdd"/>
<path
android:fillColor="#dfe7eb"
android:pathData="M 100.5 17.2285714 C 146.489540112 17.2285714 183.7714286 54.5104598876 183.7714286 100.5 C 183.7714286 146.489540112 146.489540112 183.7714286 100.5 183.7714286 C 54.5104598876 183.7714286 17.2285714 146.489540112 17.2285714 100.5 C 17.2285714 54.5104598876 54.5104598876 17.2285714 100.5 17.2285714 Z"
android:strokeWidth="1"
android:fillType="evenOdd"/>
</vector>
deploy/shitu_android_demo/app/src/main/res/drawable/btn_shutter_pressed.xml 0 → 100644
浏览文件 @ 0655709e
<?xml version="1.0" encoding="utf-8"?>
<vector xmlns:android="http://schemas.android.com/apk/res/android"
android:height="201dp"
android:width="201dp"
android:viewportWidth="201"
android:viewportHeight="201">
<path
android:fillColor="#ffffff"
android:pathData="M 100.5 0 C 156.004617358 0 201 44.995382642 201 100.5 C 201 156.004617358 156.004617358 201 100.5 201 C 44.995382642 201 0 156.004617358 0 100.5 C 0 44.995382642 44.995382642 0 100.5 0 Z"
android:strokeWidth="1"
android:fillType="evenOdd"/>
<path
android:fillColor="#cfd7db"
android:pathData="M 100.5 17.2285714 C 146.489540112 17.2285714 183.7714286 54.5104598876 183.7714286 100.5 C 183.7714286 146.489540112 146.489540112 183.7714286 100.5 183.7714286 C 54.5104598876 183.7714286 17.2285714 146.489540112 17.2285714 100.5 C 17.2285714 54.5104598876 54.5104598876 17.2285714 100.5 17.2285714 Z"
android:strokeWidth="1"
android:fillType="evenOdd"/>
</vector>
deploy/shitu_android_demo/app/src/main/res/drawable/btn_switch.xml 0 → 100644
浏览文件 @ 0655709e
<?xml version="1.0" encoding="utf-8"?>
<selector xmlns:android="http://schemas.android.com/apk/res/android">
<item android:state_pressed="true" android:drawable="@drawable/btn_switch_pressed"/>
<item android:drawable="@drawable/btn_switch_default"/>
</selector>
deploy/shitu_android_demo/app/src/main/res/drawable/ic_launcher_background.xml 0 → 100644
浏览文件 @ 0655709e
<?xml version="1.0" encoding="utf-8"?>
<vector xmlns:android="http://schemas.android.com/apk/res/android"
android:width="108dp"
android:height="108dp"
android:viewportWidth="108"
android:viewportHeight="108">
<path
android:fillColor="#008577"
android:pathData="M0,0h108v108h-108z" />
<path
android:fillColor="#00000000"
android:pathData="M9,0L9,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,0L19,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M29,0L29,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M39,0L39,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M49,0L49,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M59,0L59,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M69,0L69,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M79,0L79,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M89,0L89,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M99,0L99,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,9L108,9"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,19L108,19"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,29L108,29"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,39L108,39"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,49L108,49"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,59L108,59"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,69L108,69"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,79L108,79"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,89L108,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,99L108,99"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,29L89,29"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,39L89,39"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,49L89,49"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,59L89,59"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,69L89,69"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,79L89,79"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M29,19L29,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M39,19L39,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M49,19L49,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M59,19L59,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M69,19L69,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M79,19L79,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
</vector>
deploy/shitu_android_demo/app/src/main/res/layout-land/activity_main_old.xml 0 → 100644
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<?xml version="1.0" encoding="utf-8"?>
<android.support.constraint.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
android:keepScreenOn="true"
tools:context=".MainActivity">
<RelativeLayout
android:layout_width="match_parent"
android:layout_height="match_parent"
android:background="@color/colorWindow">
<com.baidu.paddle.lite.demo.common.CameraSurfaceView
android:id="@+id/sv_preview"
android:layout_width="match_parent"
android:layout_height="match_parent"
android:layout_centerInParent="true" />
<RelativeLayout
android:layout_width="@dimen/top_bar_height"
android:layout_height="match_parent"
android:layout_alignParentLeft="true"
android:background="@color/colorTopBar">
<TextView
android:id="@+id/tv_status"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_alignParentBottom="true"
android:layout_centerHorizontal="true"
android:layout_marginLeft="@dimen/top_bar_left_right_margin"
android:layout_marginBottom="@dimen/top_bar_left_right_margin"
android:textColor="@color/colorText"
android:gravity="center"
android:textSize="@dimen/small_font_size" />
</RelativeLayout>
<LinearLayout
android:layout_width="wrap_content"
android:layout_height="match_parent"
android:layout_alignParentRight="true"
android:background="@color/colorBottomBar"
android:orientation="horizontal">
<LinearLayout
android:layout_width="@dimen/bottom_bar_top_margin"
android:layout_height="match_parent"
android:orientation="horizontal"></LinearLayout>
<RelativeLayout
android:layout_width="@dimen/large_button_height"
android:layout_height="match_parent">
<ImageButton
android:id="@+id/btn_switch"
android:layout_width="@dimen/small_button_width"
android:layout_height="@dimen/small_button_height"
android:layout_alignParentBottom="true"
android:layout_centerHorizontal="true"
android:layout_marginTop="@dimen/bottom_bar_left_right_margin"
android:layout_marginBottom="@dimen/bottom_bar_left_right_margin"
android:background="#00000000"
android:scaleType="fitXY"
android:src="@drawable/btn_switch" />
<ImageButton
android:id="@+id/btn_shutter"
android:layout_width="@dimen/large_button_width"
android:layout_height="@dimen/large_button_height"
android:layout_centerInParent="true"
android:background="@null"
android:focusable="true"
android:focusableInTouchMode="true"
android:scaleType="fitXY"
android:src="@drawable/btn_shutter" />
<ImageButton
android:id="@+id/btn_settings"
android:layout_width="@dimen/small_button_width"
android:layout_height="@dimen/small_button_width"
android:layout_alignParentTop="true"
android:layout_centerHorizontal="true"
android:layout_marginTop="@dimen/bottom_bar_left_right_margin"
android:background="@null"
android:scaleType="fitXY"
android:src="@drawable/btn_settings" />
</RelativeLayout>
<LinearLayout
android:layout_width="@dimen/bottom_bar_bottom_margin"
android:layout_height="match_parent"
android:orientation="horizontal"></LinearLayout>
</LinearLayout>
</RelativeLayout>
</android.support.constraint.ConstraintLayout>
\ No newline at end of file
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<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
tools:context=".MainActivity"
android:orientation="vertical">
<!-- 顶部按钮栏-->
<LinearLayout
android:layout_width="match_parent"
android:layout_height="110dp"
android:layout_marginTop="0dp"
android:background="@drawable/white">
<LinearLayout
android:layout_weight="1"
android:id="@+id/kt"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:orientation="vertical"
android:layout_marginLeft="0dp"
android:layout_marginStart="0dp">
<ImageView
android:id="@+id/show_index"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:background="@mipmap/leibiechaxun_100"
android:layout_gravity="center">
</ImageView>
<TextView
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:text="类别查询"
android:textAlignment="center"
android:textSize="15sp"
android:gravity="center_horizontal">
</TextView>
</LinearLayout>
<LinearLayout
android:layout_weight="1"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:orientation="vertical">
<ImageView
android:id="@+id/take_gallery"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_gravity="center"
android:background="@mipmap/paizhaoshangchuan_100"
android:maxWidth="150dp">
</ImageView>
<TextView
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:text="拍照加库"
android:textAlignment="center"
android:textSize="15sp"
android:gravity="center_horizontal">
</TextView>
</LinearLayout>
<LinearLayout
android:layout_weight="1"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:orientation="vertical">
<ImageView
android:id="@+id/add_gallery"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_gravity="center"
android:background="@mipmap/bendishangchuan_100">
</ImageView>
<TextView
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:text="本地图片加库"
android:textAlignment="center"
android:textSize="15sp"
android:gravity="center_horizontal">
</TextView>
</LinearLayout>
<LinearLayout
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:orientation="vertical"
android:layout_weight="1">
<ImageView
android:id="@+id/save"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:background="@mipmap/baocunxiugai_100"
android:layout_gravity="center">
</ImageView>
<TextView
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:text="保存库"
android:textAlignment="center"
android:textSize="15sp"
android:gravity="center_horizontal">
</TextView>
</LinearLayout>
</LinearLayout>
<!-- 图片展示栏-->
<LinearLayout
android:layout_width="fill_parent"
android:layout_height="0dp"
android:layout_gravity="center_vertical"
android:layout_weight="1.4"
android:gravity="center_vertical"
android:orientation="vertical">
<TextView
android:id="@+id/description"
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:text="【待识别图片】">
</TextView>
<ImageView
android:id="@+id/iv_input_image"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:background="@drawable/white">
</ImageView>
</LinearLayout>
<LinearLayout
android:layout_width="fill_parent"
android:layout_height="wrap_content">
<EditText
android:id="@+id/label_name"
android:layout_weight="1"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:hint="label name"
android:textColorHint="#546E7A" />
<Button
android:id="@+id/label_botton"
android:layout_width="0dp"
android:layout_height="wrap_content"
android:layout_weight="1"
android:gravity="center"
android:text="确定" />
<Button
android:id="@+id/cancel_botton"
android:layout_weight="1"
android:layout_width="0dp"
android:layout_height="wrap_content"
android:text="取消" />
</LinearLayout>
<!-- 识别结果输出栏-->
<LinearLayout
android:layout_width="fill_parent"
android:layout_height="wrap_content">
<LinearLayout
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:orientation="vertical">
<TextView
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:text="【识别结果】">
</TextView>
<LinearLayout
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:orientation="horizontal">
<TextView
android:id="@+id/tv_top1_result"
android:layout_width="0dp"
android:layout_height="wrap_content"
android:layout_weight="1"
android:text="类别：">
</TextView>
<TextView
android:id="@+id/similairy"
android:layout_width="0dp"
android:layout_weight="1"
android:layout_height="wrap_content"
android:text="相似度：">
</TextView>
</LinearLayout>
<LinearLayout
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:orientation="horizontal">
<TextView
android:id="@+id/index_name"
android:layout_width="0dp"
android:layout_height="wrap_content"
android:layout_weight="1"
android:text="检索库名称：">
</TextView>
<TextView
android:id="@+id/tv_inference_time"
android:layout_width="0dp"
android:layout_weight="1"
android:layout_height="wrap_content"
android:text="预测时间：">
</TextView>
</LinearLayout>
</LinearLayout>
</LinearLayout>
<!-- 底部按纽栏-->
<LinearLayout
android:layout_width="fill_parent"
android:layout_height="0dp"
android:gravity="bottom"
android:layout_weight="0.4"
android:layout_gravity="center_horizontal">
<LinearLayout
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:orientation="vertical"
android:layout_weight="1">
<ImageView
android:id="@+id/take_query"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:background="@mipmap/paizhaoshibie_100"
android:layout_gravity="center">
</ImageView>
<TextView
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:text="拍照识别"
android:textAlignment="center"
android:textSize="15sp"
android:gravity="center_horizontal">
</TextView>
</LinearLayout>
<LinearLayout
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:orientation="vertical"
android:layout_weight="1">
<ImageView
android:id="@+id/add_query"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:background="@mipmap/bendishibie_100"
android:layout_gravity="center">
</ImageView>
<TextView
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:text="本地识别"
android:textAlignment="center"
android:textSize="15sp"
android:gravity="center_horizontal">
</TextView>
</LinearLayout>
</LinearLayout>
</LinearLayout>
deploy/shitu_android_demo/app/src/main/res/menu/menu_action_options.xml 0 → 100644
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<menu xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto">
<group>
<item
android:id="@+id/reset"
android:icon="@drawable/reset"
android:title="初始化检索库"
app:showAsAction="always"/>
<item
android:id="@+id/help"
android:icon="@drawable/shuoming"
android:title="settings"
app:showAsAction="ifRoom"/>
<item
android:id="@+id/settings"
android:icon="@drawable/shezhi"
android:title="reset"
app:showAsAction="always"/>
</group>
</menu>
deploy/shitu_android_demo/app/src/main/res/mipmap-anydpi-v26/ic_launcher_back.xml 0 → 100644
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<?xml version="1.0" encoding="utf-8"?>
<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
<background android:drawable="@drawable/ic_launcher_background" />
<foreground android:drawable="@drawable/ic_launcher_foreground" />
</adaptive-icon>
\ No newline at end of file
deploy/shitu_android_demo/app/src/main/res/mipmap-anydpi-v26/ic_launcher_round_back.xml 0 → 100644
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<?xml version="1.0" encoding="utf-8"?>
<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
<background android:drawable="@drawable/ic_launcher_background" />
<foreground android:drawable="@drawable/ic_launcher_foreground" />
</adaptive-icon>
\ No newline at end of file
deploy/shitu_android_demo/app/src/main/res/values/arrays.xml 0 → 100644
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<?xml version="1.0" encoding="utf-8"?>
<resources>
<string-array name="label_path_entries">
<item>index_id_map.txt</item>
</string-array>
<string-array name="label_path_values">
<item name="android:button">index/index_id_map.txt</item>
</string-array>
<string-array name="index_path_entries">
<item>vector.index</item>
</string-array>
<string-array name="index_path_values">
<item>index/vector.index</item>
</string-array>
<!-- <string-array name="cpu_thread_num_entries">-->
<!-- <item>1 threads</item>-->
<!-- <item>2 threads</item>-->
<!-- <item>4 threads</item>-->
<!-- <item>8 threads</item>-->
<!-- </string-array>-->
<!-- <string-array name="cpu_thread_num_values">-->
<!-- <item>1</item>-->
<!-- <item>2</item>-->
<!-- <item>4</item>-->
<!-- <item>8</item>-->
<!-- </string-array>-->
<!-- <string-array name="cpu_power_mode_entries">-->
<!-- <item>HIGH(only big cores)</item>-->
<!-- <item>LOW(only LITTLE cores)</item>-->
<!-- <item>FULL(all cores)</item>-->
<!-- <item>NO_BIND(depends on system)</item>-->
<!-- <item>RAND_HIGH</item>-->
<!-- <item>RAND_LOW</item>-->
<!-- </string-array>-->
<!-- <string-array name="cpu_power_mode_values">-->
<!-- <item>LITE_POWER_HIGH</item>-->
<!-- <item>LITE_POWER_LOW</item>-->
<!-- <item>LITE_POWER_FULL</item>-->
<!-- <item>LITE_POWER_NO_BIND</item>-->
<!-- <item>LITE_POWER_RAND_HIGH</item>-->
<!-- <item>LITE_POWER_RAND_LOW</item>-->
<!-- </string-array>-->
<!-- <string-array name="input_topk_values">-->
<!-- <item>1</item>-->
<!-- <item>2</item>-->
<!-- <item>3</item>-->
<!-- </string-array>-->
</resources>
\ No newline at end of file
deploy/shitu_android_demo/app/src/main/res/values/colors.xml 0 → 100644
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<?xml version="1.0" encoding="utf-8"?>
<resources>
<color name="colorPrimary">#192EE3</color>
<color name="colorPrimaryDark">#000000</color>
<color name="colorAccent">#D81B60</color>
<color name="colorWindow">#FF000000</color>
<color name="colorTopBar">#00000000</color>
<color name="colorBottomBar">#00000000</color>
<color name="colorText">#FFFFFFFF</color>
</resources>
deploy/shitu_android_demo/app/src/main/res/values/dimens.xml 0 → 100644
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<?xml version="1.0" encoding="utf-8"?>
<resources>
<dimen name="bottom_bar_top_margin">26dp</dimen>
<dimen name="bottom_bar_bottom_margin">36dp</dimen>
<dimen name="bottom_bar_left_right_margin">34dp</dimen>
<dimen name="top_bar_height">60dp</dimen>
<dimen name="top_bar_left_right_margin">16dp</dimen>
<dimen name="large_button_width">67dp</dimen>
<dimen name="large_button_height">67dp</dimen>
<dimen name="medium_button_width">56dp</dimen>
<dimen name="medium_button_height">56dp</dimen>
<dimen name="small_button_width">46dp</dimen>
<dimen name="small_button_height">46dp</dimen>
<dimen name="large_font_size">32dp</dimen>
<dimen name="medium_font_size">24dp</dimen>
<dimen name="small_font_size">16dp</dimen>
</resources>
deploy/shitu_android_demo/app/src/main/res/values/strings.xml 0 → 100644
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<resources>
<string name="app_name">PP-ShiTu</string>
<string name="CHOOSE_PRE_INSTALLED_MODEL_KEY">CHOOSE_PRE_INSTALLED_MODEL_KEY</string>
<!-- <string name="ENABLE_CUSTOM_SETTINGS_KEY">ENABLE_CUSTOM_SETTINGS_KEY</string>-->
<string name="MODEL_PATH_KEY">MODEL_PATH_KEY</string>
<string name="LABEL_PATH_KEY">LABEL_PATH_KEY</string>
<string name="INDEX_PATH_KEY">INDEX_DIR_KEY</string>
<!-- <string name="IMAGE_PATH_KEY">IMAGE_PATH_KEY</string>-->
<!-- <string name="CPU_THREAD_NUM_KEY">CPU_THREAD_NUM_KEY</string>-->
<!-- <string name="CPU_POWER_MODE_KEY">CPU_POWER_MODE_KEY</string>-->
<!-- <string name="INPUT_TOPK_KEY">INPUT_TOPK_KEY</string>-->
<!-- <string name="DET_INPUT_SHAPE_KEY">DET_INPUT_SHAPE_KEY</string>-->
<!-- <string name="REC_INPUT_SHAPE_KEY">REC_INPUT_SHAPE_KEY</string>-->
<string name="MODEL_PATH_DEFAULT">models</string>
<string name="LABEL_PATH_DEFAULT">index/id_map.txt</string>
<string name="INDEX_PATH_DEFAULT">index/vector.index</string>
<string name="IMAGE_PATH_DEFAULT">images/demo.jpg</string>
<string name="CPU_THREAD_NUM_DEFAULT">4</string>
<string name="CPU_POWER_MODE_DEFAULT">LITE_POWER_HIGH</string>
<string name="INPUT_TOPK_DEFAULT">3</string>
<string name="DET_INPUT_SHAPE_DEFAULT">1,3,640,640</string>
<string name="REC_INPUT_SHAPE_DEFAULT">1,3,224,224</string>
</resources>
deploy/shitu_android_demo/app/src/main/res/values/styles.xml 0 → 100644
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<resources>
<!-- Base application theme. -->
<style name="AppTheme" parent="Theme.AppCompat.Light.DarkActionBar">
<!-- Customize your theme here. -->
<item name="colorPrimary">@color/colorPrimary</item>
<item name="colorPrimaryDark">@color/colorPrimaryDark</item>
<item name="colorAccent">@color/colorAccent</item>
<item name="actionOverflowMenuStyle">@style/OverflowMenuStyle</item>
</style>
<style name="OverflowMenuStyle" parent="Widget.AppCompat.Light.PopupMenu.Overflow">
<item name="overlapAnchor">false</item>
</style>
<style name="AppTheme.NoActionBar">
<item name="windowActionBar">false</item>
<item name="windowNoTitle">true</item>
</style>
<style name="AppTheme.AppBarOverlay" parent="ThemeOverlay.AppCompat.Dark.ActionBar"/>
<style name="AppTheme.PopupOverlay" parent="ThemeOverlay.AppCompat.Light"/>
</resources>
deploy/shitu_android_demo/app/src/main/res/xml/settings.xml 0 → 100644
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<?xml version="1.0" encoding="utf-8"?>
<PreferenceScreen xmlns:android="http://schemas.android.com/apk/res/android">
<PreferenceCategory android:title="Model Settings">
<ListPreference
android:defaultValue="@string/MODEL_PATH_DEFAULT"
android:key="@string/CHOOSE_PRE_INSTALLED_MODEL_KEY"
android:negativeButtonText="@null"
android:positiveButtonText="@null"
android:title="Choose pre-installed models" />
<ListPreference
android:defaultValue="@string/LABEL_PATH_DEFAULT"
android:entries="@array/label_path_entries"
android:entryValues="@array/label_path_values"
android:key="@string/LABEL_PATH_KEY"
android:negativeButtonText="@null"
android:positiveButtonText="@null"
android:title="Label Path" />
<ListPreference
android:defaultValue="@string/INDEX_PATH_DEFAULT"
android:entries="@array/index_path_entries"
android:entryValues="@array/index_path_values"
android:key="@string/INDEX_PATH_KEY"
android:negativeButtonText="@null"
android:positiveButtonText="@null"
android:title="Index Path" />
</PreferenceCategory>
</PreferenceScreen>
deploy/shitu_android_demo/app/src/test/java/com/baidu/paddle/lite/demo/pp_shitu/ExampleUnitTest.java 0 → 100644
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package com.baidu.paddle.lite.demo.pp_shitu;
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);
}
}
\ No newline at end of file
deploy/shitu_android_demo/build.gradle 0 → 100644
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// 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:4.1.0'
// NOTE: Do not place your application dependencies here; they belong
// in the individual module build.gradle files
}
}
allprojects {
repositories {
google()
jcenter()
}
}
task clean(type: Delete) {
delete rootProject.buildDir
}
deploy/shitu_android_demo/docs/README.md 0 → 100644
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# PP-ShiTu android demo
本项目是一个基于 PaddleClas PP-ShiTu 和 [Paddle-Lite-Demo](https://github.com/PaddlePaddle/Paddle-Lite-Demo) 的安卓轻量级图像识别APP
本工程Android部分的代码基于 [Paddle-Lite-Demo](https://github.com/PaddlePaddle/Paddle-Lite-Demo) 开发，识别过程中使用的检测与识别模型基于 PaddleDetection 和 PaddleClas
详细信息可以查看对应模型文档 [主体检测模型](../../../docs/zh_CN/training/PP-ShiTu/mainbody_detection.md) 与 [特征提取模型](../../../docs/zh_CN/training/PP-ShiTu/feature_extraction.md) 以及 [faiss检索库](../../../docs/zh_CN/deployment/PP-ShiTu/vector_search.md)
## APP安装体验
- 点击链接下载：[下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/demos/PP-ShiTu.apk)
- 扫描下方二维码下载：
<div align="center">
<img src="../../../docs/images/quick_start/android_demo/PPShiTu_qrcode.png" width=20% height=20%>
</div>
## Demo开发介绍
本Demo使用的集成开发环境是 [AndroidStudio](https://developer.android.google.cn/studio)
### 克隆本项目
首先使用git工具，将本项目克隆到本地
### 文件准备
1. 下载我们准备好的模型压缩包：[ppshituv2_lite_models_v1.0.tar](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/lite/ppshituv2_lite_models_v1.0.tar) 并解压出来，将其中2个 `*.nb` 格式的Lite模型文件放置到 [shitu_android_demo/app/src/main/assets/models](../app/src/main/assets/models) 目录下。以 PP-ShiTuV2 的主体检测和特征提取模型为例，模型最终的文件组织结构如下所示
```log
models
├── general_PPLCNetV2_base_quant_v1.0_lite.nb
└── mainbody_PPLCNet_x2_5_640_quant_v1.0_lite.nb
```
2. 下载 [faiss1.5.3.tar.gz](https://paddle-inference-dist.bj.bcebos.com/faiss1.5.3.tar.gz) 检索库文件并解压，里面包含了编译好的 `libfaiss.a` 文件和对应的头文件，将 `include` 文件夹放置在 `main/cpp` 目录下，将 `libs` 文件夹下的 `arm64-v8a` 和 `armeabi-v7a` 放置在 `main/jniLibs` 文件夹下。
3. 以 `drink_dataset_v2.0` 检索库为例，依次执行以下命令，生成检索库 `vector.index` 文件与pkl格式的标签库 `id_map.pkl` 文件
```shell
# 进入工作目录
cd PaddleClas/deploy
# 下载数据集
wget -nc https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/data/drink_dataset_v2.0.tar
tar -xf drink_dataset_v2.0.tar
# 下载lite模型
cd models
wget -nc https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/lite/ppshituv2_lite_models_v1.0.tar
tar -xf ppshituv2_lite_models_v1.0.tar
cd ../
# 构建检索库与标签库
python3.7 python/build_gallery.py -c configs/inference_drink.yaml -o Global.rec_inference_model_dir=./models/ppshituv2_lite_models_v1.0/general_PPLCNetV2_base_quant_v1.0_lite_inference_model -o IndexProcess.index_method=Flat
```
4. 然后将 `configs/inference_drink.yaml` 文件中的 `IndexProcess.index_dir` 字段后的路径改为 `"../drink_dataset_v2.0/index"`，再执行以下命令，得到转换成txt格式的标签库
```shell
cd ./lite_shitu
python3.7 transform_id_map.py -c ../configs/inference_drink.yaml
```
5. 最后，将上述步骤生成的 `vector.index` 与 `id_map.txt` 重命名为 `original.index` 与 `original.txt` ，放置到 [shitu_android_demo/app/src/main/assets/index](../app/src/main/assets/index) 文件夹下。
### 打开Demo
1. 首先下载并安装AndroidStudio集成开发环境(IDE)
2. 打开安装好的AndroidStudio，依次点击标题栏左侧的"File"→"Open"→找到并选择 `shitu_android_demo` 文件夹，点击"ok"，等待IDE加载处理完毕，如下图所示
<div align="center">
<img src="./images/step1.png" width="800">
</div>
4. 然后将手机通过USB数据线连接到调试用的电脑上，并且在手机上**选择允许USB调试模式**。以华为手机为例，连接电脑后选择"传输文件"，并且在"开发人员选项"中开启"USB调试"选项，如下图所示
<div align="center">
<img src="./images/step2.1.png" width="400">
<img src="./images/step2.2.png" width="400">
</div>
**注： 这一步非常重要，否则可能Android Studio无法检测并安装APP到手机上**
5. 连接完毕后应该能在Android Studio界面右上角显示出手机型号，如下图所示
![step3](./images/step3.png)
6. 然后点击手机型号右侧第一个绿色箭头，会自动进行交叉编译并安装APP到手机上，在手机上确认安装即可开始使用、调试APP。开发过程中想即时使用当前代码生成的APP，则仍旧点击手机型号右侧的第一个按钮（开发过程中绿色箭头的按钮图标可能会变成其它形状，但仍然可以点击它），在手机上确认安装最新APK文件，重复这一过程直至开发完成即可。开发完毕后，如需导出APK文件并分享给他人安装，请自行上网查找对应教程。
**注： 过程中AndroidStudio可能会提示需要安装一系列的环境包，包括JRE、Android NDK等，请按照提示安装，否则可能无法编译安装APP到手机上。**
### 二次开发
本项目的功能实现主要由一些的代码文件完成，如下所示
```log
main
├── assets/ # 资源文件夹，用于放置界面图标、模型文件以及检索库
├── cpp/ # CPP代码文件夹，其下的include文件夹配合libfaiss.a用来调用faiss检索API，其余代码文件负责控制C++层的代码逻辑
└── include/
└── faiss/ # faiss 检索库头文件，无需改动
├── java/ # JAVA代码文件夹，内部的代码文件负责控制JAVA层的代码逻辑
├── jniLibs/
├── arm64-v8a/ # 用于存放第三方SDK文件所需的库，如存放libfaiss.a文件
└── armeabi-v7a/ # 用于存放第三方SDK文件所需的库，如存放libfaiss.a文件
├── docs/ # 本项目文档与文档图片存放目录
├── ...
└── ...
```
开发者可以针对以上涉及的具体代码文件进行修改与二次开发
deploy/shitu_android_demo/gradle.properties 0 → 100644
浏览文件 @ 0655709e
# 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=-Xmx1536m
# 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
deploy/shitu_android_demo/gradle/wrapper/gradle-wrapper.properties 0 → 100644
浏览文件 @ 0655709e
#Thu Aug 22 15:05:37 CST 2019
distributionBase=GRADLE_USER_HOME
distributionPath=wrapper/dists
zipStoreBase=GRADLE_USER_HOME
zipStorePath=wrapper/dists
distributionUrl=https\://services.gradle.org/distributions/gradle-7.0-all.zip
deploy/shitu_android_demo/gradlew 0 → 100644
浏览文件 @ 0655709e
此差异已折叠。
deploy/shitu_android_demo/gradlew.bat 0 → 100644
浏览文件 @ 0655709e
此差异已折叠。
deploy/shitu_android_demo/local.properties 0 → 100644
浏览文件 @ 0655709e
## This file must *NOT* be checked into Version Control Systems,
# as it contains information specific to your local configuration.
#
# Location of the SDK. This is only used by Gradle.
# For customization when using a Version Control System, please read the
# header note.
#Mon Sep 19 19:05:12 CST 2022
sdk.dir=C\:\\Users\\hesensen\\AppData\\Local\\Android\\Sdk
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