Merge remote-tracking branch 'upstream/dygraph' into dy3

README_ch.md

@@ -54,11 +54,10 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库，助力
 
 | 模型简介     | 模型名称     |推荐场景          | 检测模型 | 方向分类器 | 识别模型 |
 | ------------ | --------------- | ----------------|---- | ---------- | -------- |
-| 中英文超轻量OCR模型（8.1M） | ch_ppocr_mobile_v1.1_xx |移动端&服务器端|[推理模型](link) / [预训练模型](link)|[推理模型](link) / [预训练模型](link) |[推理模型](link) / [预训练模型](link)      |
-| 中英文通用OCR模型（155.1M）   |ch_ppocr_server_v1.1_xx|服务器端 |[推理模型](link) / [预训练模型](link)    |[推理模型](link) / [预训练模型](link)    |[推理模型](link) / [预训练模型](link)  |  
-| 中英文超轻量压缩OCR模型（3.5M） | ch_ppocr_mobile_slim_v1.1_xx| 移动端 |[推理模型](link) / [slim模型](link) |[推理模型](link) / [slim模型](link)| [推理模型](link) / [slim模型](link)|  
+| 中英文超轻量OCR模型（8.1M） | ch_ppocr_mobile_v2.0_xx |移动端&服务器端|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar)      |
+| 中英文通用OCR模型（143M）   |ch_ppocr_server_v2.0_xx|服务器端 |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar)    |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar)    |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar)  |  
 
-更多模型下载（包括多语言），可以参考[PP-OCR v1.1 系列模型下载](./doc/doc_ch/models_list.md)
+更多模型下载（包括多语言），可以参考[PP-OCR v2.0 系列模型下载](./doc/doc_ch/models_list.md)
 
 ## 文档教程
 - [快速安装](./doc/doc_ch/installation.md)
@@ -78,9 +77,9 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库，助力
     - [基于Python脚本预测引擎推理](./doc/doc_ch/inference.md)
     - [基于C++预测引擎推理](./deploy/cpp_infer/readme.md)
     - [服务化部署](./deploy/hubserving/readme.md)
-    - [端侧部署](./deploy/lite/readme.md)
-    - [模型量化](./deploy/slim/quantization/README.md)
-    - [模型裁剪](./deploy/slim/prune/README.md)
+    - [端侧部署](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/lite/readme.md)
+    - [模型量化](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/slim/quantization/README.md)
+    - [模型裁剪](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/slim/prune/README.md)
     - [Benchmark](./doc/doc_ch/benchmark.md)
 - 数据集
     - [通用中英文OCR数据集](./doc/doc_ch/datasets.md)
@@ -98,6 +97,9 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库，助力
 - [许可证书](#许可证书)
 - [贡献代码](#贡献代码)
 
+***注意：动态图端侧部署仍在开发中，目前仅支持动态图训练、python端预测，C++预测，
+如果您有需要移动端部署案例或者量化裁剪，请切换到静态图分支；***
+
 <a name="PP-OCR"></a>
 ## PP-OCR Pipline
 <div align="center">

README_en.md

@@ -62,15 +62,11 @@ Mobile DEMO experience (based on EasyEdge and Paddle-Lite, supports iOS and Andr
 
 | Model introduction                                           | Model name                   | Recommended scene | Detection model                                              | Direction classifier                                         | Recognition model                                            |
 | ------------------------------------------------------------ | ---------------------------- | ----------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
-| Chinese and English ultra-lightweight OCR model (8.1M)       | ch_ppocr_mobile_v1.1_xx      | Mobile & server   | [inference model](link) / [pre-trained model](link) | [inference model](link) / [pre-trained model](link) | [inference model](link) / [pre-trained model](link) |  
-| Chinese and English general OCR model (155.1M)               | ch_ppocr_server_v1.1_xx      | Server            | [inference model](link) / [pre-trained model](link) | [inference model](link) / [pre-trained model](link) | [inference model](link) / [pre-trained model](link) |  
-| Chinese and English ultra-lightweight compressed OCR model (3.5M) | ch_ppocr_mobile_slim_v1.1_xx | Mobile            | [inference model](link) / [slim model](link) | [inference model](link) / [slim model](link) |    [inference model](link) / [slim model](link) |
-| French ultra-lightweight OCR model (4.6M)       | french_ppocr_mobile_v1.1_xx      | Mobile & server   | [inference model](link) / [pre-trained model](link) | - | [inference model](link) / [pre-trained model](link)  |
-| German ultra-lightweight OCR model (4.6M)       | german_ppocr_mobile_v1.1_xx      | Mobile & server   | [inference model](link) / [pre-trained model](link) | - |[inference model](link) / [pre-trained model](link) |
-| Korean ultra-lightweight OCR model (5.9M)       | korean_ppocr_mobile_v1.1_xx      | Mobile & server   | [inference model](link) / [pre-trained model](link) | - |[inference model](link) / [pre-trained model](link)|
-| Japan ultra-lightweight OCR model (6.2M)       | japan_ppocr_mobile_v1.1_xx      | Mobile & server   | [inference model](link) / [pre-trained model](link) | - |[inference model](link) / [pre-trained model](link)  |
+| Chinese and English ultra-lightweight OCR model (8.1M)       | ch_ppocr_mobile_v2.0_xx      | Mobile & server   |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar)      |
+| Chinese and English general OCR model (143M)               | ch_ppocr_server_v2.0_xx      | Server            |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar)    |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_traingit.tar)    |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar)  |  
 
-For more model downloads (including multiple languages), please refer to [PP-OCR v1.1 series model downloads](./doc/doc_en/models_list_en.md).
+
+For more model downloads (including multiple languages), please refer to [PP-OCR v2.0 series model downloads](./doc/doc_en/models_list_en.md).
 
 For a new language request, please refer to [Guideline for new language_requests](#language_requests).
 
@@ -92,9 +88,9 @@ For a new language request, please refer to [Guideline for new language_requests
     - [Python Inference](./doc/doc_en/inference_en.md)
     - [C++ Inference](./deploy/cpp_infer/readme_en.md)
     - [Serving](./deploy/hubserving/readme_en.md)
-    - [Mobile](./deploy/lite/readme_en.md)
-    - [Model Quantization](./deploy/slim/quantization/README_en.md)
-    - [Model Compression](./deploy/slim/prune/README_en.md)
+    - [Mobile](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/lite/readme_en.md)
+    - [Model Quantization](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/slim/quantization/README_en.md)
+    - [Model Compression](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/slim/prune/README_en.md)
     - [Benchmark](./doc/doc_en/benchmark_en.md)  
 - Data Annotation and Synthesis
     - [Semi-automatic Annotation Tool](./PPOCRLabel/README_en.md)
@@ -112,6 +108,12 @@ For a new language request, please refer to [Guideline for new language_requests
 - [License](#LICENSE)
 - [Contribution](#CONTRIBUTION)
 
+***Note: The dynamic graphs branch is still under development.
+Currently, only dynamic graph training, python-end prediction, and C++ prediction are supported.
+If you need mobile-end deployment cases or quantitative demo,
+please use the static graph branch.***
+
+
 <a name="PP-OCR-Pipeline"></a>
 
 ## PP-OCR Pipeline

configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml

@@ -11,7 +11,7 @@ Global:
   load_static_weights: True
   cal_metric_during_train: False
   pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
-  checkpoints: #./output/det_db_0.001_DiceLoss_256_pp_config_2.0b_4gpu/best_accuracy
+  checkpoints:
   save_inference_dir:
   use_visualdl: False
   infer_img: doc/imgs_en/img_10.jpg

configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml

@@ -11,7 +11,7 @@ Global:
   load_static_weights: True
   cal_metric_during_train: False
   pretrained_model: ./pretrain_models/ResNet18_vd_pretrained
-  checkpoints: #./output/det_db_0.001_DiceLoss_256_pp_config_2.0b_4gpu/best_accuracy
+  checkpoints:
   save_inference_dir:
   use_visualdl: False
   infer_img: doc/imgs_en/img_10.jpg

configs/det/det_mv3_db.yml

@@ -11,7 +11,7 @@ Global:
   load_static_weights: True
   cal_metric_during_train: False
   pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
-  checkpoints: #./output/det_db_0.001_DiceLoss_256_pp_config_2.0b_4gpu/best_accuracy
+  checkpoints:
   save_inference_dir:
   use_visualdl: False
   infer_img: doc/imgs_en/img_10.jpg

configs/rec/rec_icdar15_train.yml

+Global:
+  use_gpu: true
+  epoch_num: 72
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: ./output/rec/ic15/
+  save_epoch_step: 3
+  # evaluation is run every 2000 iterations
+  eval_batch_step: [0, 2000]
+  # if pretrained_model is saved in static mode, load_static_weights must set to True
+  cal_metric_during_train: True
+  pretrained_model:
+  checkpoints:
+  save_inference_dir:
+  use_visualdl: False
+  infer_img: doc/imgs_words_en/word_10.png
+  # for data or label process
+  character_dict_path: ppocr/utils/ic15_dict.txt
+  character_type: ch
+  max_text_length: 25
+  infer_mode: False
+  use_space_char: False
+
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  lr:
+    learning_rate: 0.0005
+  regularizer:
+    name: 'L2'
+    factor: 0
+
+Architecture:
+  model_type: rec
+  algorithm: CRNN
+  Transform:
+  Backbone:
+    name: ResNet
+    layers: 34
+  Neck:
+    name: SequenceEncoder
+    encoder_type: rnn
+    hidden_size: 256
+  Head:
+    name: CTCHead
+    fc_decay: 0
+
+Loss:
+  name: CTCLoss
+
+PostProcess:
+  name: CTCLabelDecode
+
+Metric:
+  name: RecMetric
+  main_indicator: acc
+
+Train:
+  dataset:
+    name: SimpleDataSet
+    data_dir: ./train_data/
+    label_file_list: ["./train_data/train_list.txt"]
+    transforms:
+      - DecodeImage: # load image
+          img_mode: BGR
+          channel_first: False
+      - CTCLabelEncode: # Class handling label
+      - RecResizeImg:
+          image_shape: [3, 32, 100]
+      - KeepKeys:
+          keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
+  loader:
+    shuffle: True
+    batch_size_per_card: 256
+    drop_last: True
+    num_workers: 8
+
+Eval:
+  dataset:
+    name: SimpleDataSet
+    data_dir: ./train_data/
+    label_file_list: ["./train_data/train_list.txt"]
+    transforms:
+      - DecodeImage: # load image
+          img_mode: BGR
+          channel_first: False
+      - CTCLabelEncode: # Class handling label
+      - RecResizeImg:
+          image_shape: [3, 32, 100]
+      - KeepKeys:
+          keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
+  loader:
+    shuffle: False
+    drop_last: False
+    batch_size_per_card: 256
+    num_workers: 4

deploy/android_demo/.gitignore

-*.iml
-.gradle
-/local.properties
-/.idea/*
-.DS_Store
-/build
-/captures
-.externalNativeBuild
-

deploy/android_demo/README.md

-# 如何快速测试
-### 1. 安装最新版本的Android Studio
-可以从https://developer.android.com/studio 下载。本Demo使用是4.0版本Android Studio编写。
-
-### 2. 按照NDK 20 以上版本 
-Demo测试的时候使用的是NDK 20b版本，20版本以上均可以支持编译成功。
-
-如果您是初学者，可以用以下方式安装和测试NDK编译环境。
-点击 File -> New ->New Project，  新建  "Native C++" project
-
-### 3. 导入项目
-点击 File->New->Import Project...， 然后跟着Android Studio的引导导入
-
-
-# 获得更多支持
-前往[端计算模型生成平台EasyEdge](https://ai.baidu.com/easyedge/app/open_source_demo?referrerUrl=paddlelite)，获得更多开发支持：
-
-- Demo APP：可使用手机扫码安装，方便手机端快速体验文字识别
-- SDK：模型被封装为适配不同芯片硬件和操作系统SDK，包括完善的接口，方便进行二次开发

deploy/android_demo/app/.gitignore

-/build

deploy/android_demo/app/build.gradle

-import java.security.MessageDigest
-
-apply plugin: 'com.android.application'
-
-android {
-    compileSdkVersion 29
-    defaultConfig {
-        applicationId "com.baidu.paddle.lite.demo.ocr"
-        minSdkVersion 23
-        targetSdkVersion 29
-        versionCode 1
-        versionName "1.0"
-        testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner"
-        externalNativeBuild {
-            cmake {
-                cppFlags "-std=c++11 -frtti -fexceptions -Wno-format"
-                arguments '-DANDROID_PLATFORM=android-23', '-DANDROID_STL=c++_shared' ,"-DANDROID_ARM_NEON=TRUE"
-            }
-        }
-        ndk {
-            // abiFilters "arm64-v8a", "armeabi-v7a"
-            abiFilters   "arm64-v8a", "armeabi-v7a"
-            ldLibs "jnigraphics"
-        }
-    }
-    buildTypes {
-        release {
-            minifyEnabled false
-            proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
-        }
-    }
-    externalNativeBuild {
-        cmake {
-            path "src/main/cpp/CMakeLists.txt"
-            version "3.10.2"
-        }
-    }
-}
-
-dependencies {
-    implementation fileTree(include: ['*.jar'], dir: 'libs')
-    implementation 'androidx.appcompat:appcompat:1.1.0'
-    implementation 'androidx.constraintlayout:constraintlayout:1.1.3'
-    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'
-}
-
-def archives = [
-        [
-                'src' : 'https://paddlelite-demo.bj.bcebos.com/libs/android/paddle_lite_libs_v2_6_1.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://paddleocr.bj.bcebos.com/deploy/lite/ocr_v1_for_cpu.tar.gz',
-                'dest' : 'src/main/assets/models/ocr_v1_for_cpu'
-        ]
-]
-
-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
\ No newline at end of file

deploy/android_demo/app/proguard-rules.pro

-# 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/android_demo/app/src/androidTest/java/com/baidu/paddle/lite/demo/ocr/ExampleInstrumentedTest.java

-package com.baidu.paddle.lite.demo.ocr;
-
-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/android_demo/app/src/main/AndroidManifest.xml

-<?xml version="1.0" encoding="utf-8"?>
-<manifest xmlns:android="http://schemas.android.com/apk/res/android"
-          package="com.baidu.paddle.lite.demo.ocr">
-
-    <uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/>
-    <uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE"/>
-    <uses-permission android:name="android.permission.CAMERA"/>
-
-
-    <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">
-        <!-- to test MiniActivity, change this to com.baidu.paddle.lite.demo.ocr.MiniActivity -->
-        <activity android:name="com.baidu.paddle.lite.demo.ocr.MainActivity">
-            <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.ocr.SettingsActivity"
-                android:label="Settings">
-        </activity>
-        <provider
-            android:name="androidx.core.content.FileProvider"
-            android:authorities="com.baidu.paddle.lite.demo.ocr.fileprovider"
-            android:exported="false"
-            android:grantUriPermissions="true">
-            <meta-data
-                android:name="android.support.FILE_PROVIDER_PATHS"
-                android:resource="@xml/file_paths"></meta-data>
-        </provider>
-    </application>
-
-</manifest>
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/CMakeLists.txt

-# For more information about using CMake with Android Studio, read the
-# documentation: https://d.android.com/studio/projects/add-native-code.html
-
-# Sets the minimum version of CMake required to build the native library.
-
-cmake_minimum_required(VERSION 3.4.1)
-
-# 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")
-message(STATUS "opencv dir: ${OpenCV_DIR}")
-find_package(OpenCV REQUIRED)
-message(STATUS "OpenCV libraries: ${OpenCV_LIBS}")
-include_directories(${OpenCV_INCLUDE_DIRS})
-aux_source_directory(. SOURCES)
-set(CMAKE_CXX_FLAGS
-        "${CMAKE_CXX_FLAGS} -ffast-math -Ofast -Os"
-        )
-set(CMAKE_CXX_FLAGS
-        "${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).
-        ${SOURCES})
-
-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)
-
-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.
-)
-
-
-# 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
-        ${OpenCV_LIBS}
-        GLESv2
-        EGL
-        jnigraphics
-        ${log-lib}
-)
-
-add_custom_command(
-        TARGET Native
-        POST_BUILD
-        COMMAND
-        ${CMAKE_COMMAND} -E copy
-        ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libc++_shared.so
-        ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libc++_shared.so)
-
-add_custom_command(
-        TARGET Native
-        POST_BUILD
-        COMMAND
-        ${CMAKE_COMMAND} -E copy
-        ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libpaddle_light_api_shared.so
-        ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libpaddle_light_api_shared.so)
-
-add_custom_command(
-        TARGET Native
-        POST_BUILD
-        COMMAND
-        ${CMAKE_COMMAND} -E copy
-        ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libhiai.so
-        ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libhiai.so)
-
-add_custom_command(
-        TARGET Native
-        POST_BUILD
-        COMMAND
-        ${CMAKE_COMMAND} -E copy
-        ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libhiai_ir.so
-        ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libhiai_ir.so)
-
-add_custom_command(
-        TARGET Native
-        POST_BUILD
-        COMMAND
-        ${CMAKE_COMMAND} -E copy
-        ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libhiai_ir_build.so
-        ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libhiai_ir_build.so)
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/common.h

-//
-// Created by fu on 4/25/18.
-//
-
-#pragma once
-#import <vector>
-#import <numeric>
-
-#ifdef __ANDROID__
-
-#include <android/log.h>
-
-#define LOG_TAG "OCR_NDK"
-
-#define LOGI(...) \
-  __android_log_print(ANDROID_LOG_INFO,  LOG_TAG,  __VA_ARGS__)
-#define LOGW(...) \
-  __android_log_print(ANDROID_LOG_WARN,  LOG_TAG,  __VA_ARGS__)
-#define LOGE(...) \
-  __android_log_print(ANDROID_LOG_ERROR,  LOG_TAG,  __VA_ARGS__)
-#else
-#include <stdio.h>
-#define LOGI(format, ...) \
-  fprintf(stdout, "[" LOG_TAG "]" format "\n", ##__VA_ARGS__)
-#define LOGW(format, ...) \
-  fprintf(stdout, "[" LOG_TAG "]" format "\n", ##__VA_ARGS__)
-#define LOGE(format, ...) \
-  fprintf(stderr, "[" LOG_TAG "]Error: " format "\n", ##__VA_ARGS__)
-#endif
-
-enum RETURN_CODE {
-    RETURN_OK = 0
-};
-
-enum NET_TYPE{
-    NET_OCR = 900100,
-    NET_OCR_INTERNAL = 991008
-};
-
-
-template <typename  T>
-inline T product(const std::vector<T> &vec) {
-    if (vec.empty()){
-        return 0;
-    }
-    return std::accumulate(vec.begin(), vec.end(), 1, std::multiplies<T>());
-}
-

deploy/android_demo/app/src/main/cpp/native.cpp

-//
-// Created by fujiayi on 2020/7/5.
-//
-
-#include "native.h"
-#include "ocr_ppredictor.h"
-#include <string>
-#include <algorithm>
-#include <paddle_api.h>
-
-static paddle::lite_api::PowerMode str_to_cpu_mode(const std::string &cpu_mode);
-
-extern "C"
-JNIEXPORT jlong JNICALL
-Java_com_baidu_paddle_lite_demo_ocr_OCRPredictorNative_init(JNIEnv *env, jobject thiz,
-                                                            jstring j_det_model_path,
-                                                            jstring j_rec_model_path,
-                                                            jint j_thread_num,
-                                                            jstring j_cpu_mode) {
-    std::string det_model_path = jstring_to_cpp_string(env, j_det_model_path);
-    std::string rec_model_path = jstring_to_cpp_string(env, j_rec_model_path);
-    int thread_num = j_thread_num;
-    std::string cpu_mode = jstring_to_cpp_string(env, j_cpu_mode);
-    ppredictor::OCR_Config conf;
-    conf.thread_num = thread_num;
-    conf.mode = str_to_cpu_mode(cpu_mode);
-    ppredictor::OCR_PPredictor *orc_predictor = new ppredictor::OCR_PPredictor{conf};
-    orc_predictor->init_from_file(det_model_path, rec_model_path);
-    return reinterpret_cast<jlong>(orc_predictor);
-}
-
-/**
- * "LITE_POWER_HIGH" convert to paddle::lite_api::LITE_POWER_HIGH
- * @param cpu_mode
- * @return
- */
-static paddle::lite_api::PowerMode str_to_cpu_mode(const std::string &cpu_mode) {
-    static std::map<std::string, paddle::lite_api::PowerMode> cpu_mode_map{
-        {"LITE_POWER_HIGH",      paddle::lite_api::LITE_POWER_HIGH},
-        {"LITE_POWER_LOW",       paddle::lite_api::LITE_POWER_HIGH},
-        {"LITE_POWER_FULL",      paddle::lite_api::LITE_POWER_FULL},
-        {"LITE_POWER_NO_BIND",   paddle::lite_api::LITE_POWER_NO_BIND},
-        {"LITE_POWER_RAND_HIGH", paddle::lite_api::LITE_POWER_RAND_HIGH},
-        {"LITE_POWER_RAND_LOW",  paddle::lite_api::LITE_POWER_RAND_LOW}
-    };
-    std::string upper_key;
-    std::transform(cpu_mode.cbegin(), cpu_mode.cend(), upper_key.begin(), ::toupper);
-    auto index = cpu_mode_map.find(upper_key);
-    if (index == cpu_mode_map.end()) {
-        LOGE("cpu_mode not found %s", upper_key.c_str());
-        return paddle::lite_api::LITE_POWER_HIGH;
-    } else {
-        return index->second;
-    }
-
-}
-
-extern "C"
-JNIEXPORT jfloatArray JNICALL
-Java_com_baidu_paddle_lite_demo_ocr_OCRPredictorNative_forward(JNIEnv *env, jobject thiz,
-                                                               jlong java_pointer, jfloatArray buf,
-                                                               jfloatArray ddims,
-                                                               jobject original_image) {
-    LOGI("begin to run native forward");
-    if (java_pointer == 0) {
-        LOGE("JAVA pointer is NULL");
-        return cpp_array_to_jfloatarray(env, nullptr, 0);
-    }
-    cv::Mat origin = bitmap_to_cv_mat(env, original_image);
-    if (origin.size == 0) {
-        LOGE("origin bitmap cannot convert to CV Mat");
-        return cpp_array_to_jfloatarray(env, nullptr, 0);
-    }
-    ppredictor::OCR_PPredictor *ppredictor = (ppredictor::OCR_PPredictor *) java_pointer;
-    std::vector<float> dims_float_arr = jfloatarray_to_float_vector(env, ddims);
-    std::vector<int64_t> dims_arr;
-    dims_arr.resize(dims_float_arr.size());
-    std::copy(dims_float_arr.cbegin(), dims_float_arr.cend(), dims_arr.begin());
-
-    // 这里值有点大，就不调用jfloatarray_to_float_vector了
-    int64_t buf_len = (int64_t) env->GetArrayLength(buf);
-    jfloat *buf_data = env->GetFloatArrayElements(buf, JNI_FALSE);
-    float *data = (jfloat *) buf_data;
-    std::vector<ppredictor::OCRPredictResult> results = ppredictor->infer_ocr(dims_arr, data,
-                                                                              buf_len,
-                                                                              NET_OCR, origin);
-    LOGI("infer_ocr finished with boxes %ld", results.size());
-    // 这里将std::vector<ppredictor::OCRPredictResult> 序列化成 float数组，传输到java层再反序列化
-    std::vector<float> float_arr;
-    for (const ppredictor::OCRPredictResult &r :results) {
-        float_arr.push_back(r.points.size());
-        float_arr.push_back(r.word_index.size());
-        float_arr.push_back(r.score);
-        for (const std::vector<int> &point : r.points) {
-            float_arr.push_back(point.at(0));
-            float_arr.push_back(point.at(1));
-        }
-        for (int index: r.word_index) {
-            float_arr.push_back(index);
-        }
-    }
-    return cpp_array_to_jfloatarray(env, float_arr.data(), float_arr.size());
-}
-
-extern "C"
-JNIEXPORT void JNICALL
-Java_com_baidu_paddle_lite_demo_ocr_OCRPredictorNative_release(JNIEnv *env, jobject thiz,
-                                                               jlong java_pointer){
-    if (java_pointer == 0) {
-        LOGE("JAVA pointer is NULL");
-        return;
-    }
-    ppredictor::OCR_PPredictor *ppredictor = (ppredictor::OCR_PPredictor *) java_pointer;
-    delete ppredictor;
-}
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/native.h

-//
-// Created by fujiayi on 2020/7/5.
-//
-
-#pragma once
-
-
-#include <jni.h>
-#include <string>
-#include <vector>
-#include <android/bitmap.h>
-#include <opencv2/opencv.hpp>
-#include "common.h"
-
-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 jfloatArray cpp_array_to_jfloatarray(JNIEnv *env, const float *buf,
-                                            int64_t len) {
-    if (len == 0) {
-        return env->NewFloatArray(0);
-    }
-    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 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;
-}
-
-inline cv::Mat bitmap_to_cv_mat(JNIEnv *env, jobject bitmap) {
-    AndroidBitmapInfo info;
-    int result = AndroidBitmap_getInfo(env, bitmap, &info);
-    if (result != ANDROID_BITMAP_RESULT_SUCCESS) {
-        LOGE("AndroidBitmap_getInfo failed, result: %d", result);
-        return cv::Mat{};
-    }
-    if (info.format != ANDROID_BITMAP_FORMAT_RGBA_8888) {
-        LOGE("Bitmap format is not RGBA_8888 !");
-        return cv::Mat{};
-    }
-    unsigned char *srcData = NULL;
-    AndroidBitmap_lockPixels(env, bitmap, (void **) &srcData);
-    cv::Mat mat = cv::Mat::zeros(info.height, info.width, CV_8UC4);
-    memcpy(mat.data, srcData, info.height * info.width * 4);
-    AndroidBitmap_unlockPixels(env, bitmap);
-    cv::cvtColor(mat, mat, cv::COLOR_RGBA2BGR);
-    /**
-    if (!cv::imwrite("/sdcard/1/copy.jpg", mat)){
-        LOGE("Write image failed " );
-    }
-     */
-    return mat;
-}

deploy/android_demo/app/src/main/cpp/ocr_clipper.hpp

-/*******************************************************************************
-*                                                                              *
-* Author    :  Angus Johnson                                                   *
-* Version   :  6.4.2                                                           *
-* Date      :  27 February 2017                                                *
-* Website   :  http://www.angusj.com                                           *
-* Copyright :  Angus Johnson 2010-2017                                         *
-*                                                                              *
-* License:                                                                     *
-* Use, modification & distribution is subject to Boost Software License Ver 1. *
-* http://www.boost.org/LICENSE_1_0.txt                                         *
-*                                                                              *
-* Attributions:                                                                *
-* The code in this library is an extension of Bala Vatti's clipping algorithm: *
-* "A generic solution to polygon clipping"                                     *
-* Communications of the ACM, Vol 35, Issue 7 (July 1992) pp 56-63.             *
-* http://portal.acm.org/citation.cfm?id=129906                                 *
-*                                                                              *
-* Computer graphics and geometric modeling: implementation and algorithms      *
-* By Max K. Agoston                                                            *
-* Springer; 1 edition (January 4, 2005)                                        *
-* http://books.google.com/books?q=vatti+clipping+agoston                       *
-*                                                                              *
-* See also:                                                                    *
-* "Polygon Offsetting by Computing Winding Numbers"                            *
-* Paper no. DETC2005-85513 pp. 565-575                                         *
-* ASME 2005 International Design Engineering Technical Conferences             *
-* and Computers and Information in Engineering Conference (IDETC/CIE2005)      *
-* September 24-28, 2005 , Long Beach, California, USA                          *
-* http://www.me.berkeley.edu/~mcmains/pubs/DAC05OffsetPolygon.pdf              *
-*                                                                              *
-*******************************************************************************/
-
-#ifndef clipper_hpp
-#define clipper_hpp
-
-#define CLIPPER_VERSION "6.4.2"
-
-//use_int32: When enabled 32bit ints are used instead of 64bit ints. This
-//improve performance but coordinate values are limited to the range +/- 46340
-//#define use_int32
-
-//use_xyz: adds a Z member to IntPoint. Adds a minor cost to perfomance.
-//#define use_xyz
-
-//use_lines: Enables line clipping. Adds a very minor cost to performance.
-#define use_lines
-
-//use_deprecated: Enables temporary support for the obsolete functions
-//#define use_deprecated
-
-#include <vector>
-#include <list>
-#include <set>
-#include <stdexcept>
-#include <cstring>
-#include <cstdlib>
-#include <ostream>
-#include <functional>
-#include <queue>
-
-namespace ClipperLib {
-
-enum ClipType {
-    ctIntersection, ctUnion, ctDifference, ctXor
-};
-enum PolyType {
-    ptSubject, ptClip
-};
-//By far the most widely used winding rules for polygon filling are
-//EvenOdd & NonZero (GDI, GDI+, XLib, OpenGL, Cairo, AGG, Quartz, SVG, Gr32)
-//Others rules include Positive, Negative and ABS_GTR_EQ_TWO (only in OpenGL)
-//see http://glprogramming.com/red/chapter11.html
-enum PolyFillType {
-    pftEvenOdd, pftNonZero, pftPositive, pftNegative
-};
-
-#ifdef use_int32
-typedef int cInt;
-static cInt const loRange = 0x7FFF;
-static cInt const hiRange = 0x7FFF;
-#else
-typedef signed long long cInt;
-static cInt const loRange = 0x3FFFFFFF;
-static cInt const hiRange = 0x3FFFFFFFFFFFFFFFLL;
-typedef signed long long long64;     //used by Int128 class
-typedef unsigned long long ulong64;
-
-#endif
-
-struct IntPoint {
-    cInt X;
-    cInt Y;
-#ifdef use_xyz
-    cInt Z;
-    IntPoint(cInt x = 0, cInt y = 0, cInt z = 0): X(x), Y(y), Z(z) {};
-#else
-
-    IntPoint(cInt x = 0, cInt y = 0) : X(x), Y(y) {};
-#endif
-
-    friend inline bool operator==(const IntPoint &a, const IntPoint &b) {
-        return a.X == b.X && a.Y == b.Y;
-    }
-
-    friend inline bool operator!=(const IntPoint &a, const IntPoint &b) {
-        return a.X != b.X || a.Y != b.Y;
-    }
-};
-//------------------------------------------------------------------------------
-
-typedef std::vector <IntPoint> Path;
-typedef std::vector <Path> Paths;
-
-inline Path &operator<<(Path &poly, const IntPoint &p) {
-    poly.push_back(p);
-    return poly;
-}
-
-inline Paths &operator<<(Paths &polys, const Path &p) {
-    polys.push_back(p);
-    return polys;
-}
-
-std::ostream &operator<<(std::ostream &s, const IntPoint &p);
-
-std::ostream &operator<<(std::ostream &s, const Path &p);
-
-std::ostream &operator<<(std::ostream &s, const Paths &p);
-
-struct DoublePoint {
-    double X;
-    double Y;
-
-    DoublePoint(double x = 0, double y = 0) : X(x), Y(y) {}
-
-    DoublePoint(IntPoint ip) : X((double) ip.X), Y((double) ip.Y) {}
-};
-//------------------------------------------------------------------------------
-
-#ifdef use_xyz
-typedef void (*ZFillCallback)(IntPoint& e1bot, IntPoint& e1top, IntPoint& e2bot, IntPoint& e2top, IntPoint& pt);
-#endif
-
-enum InitOptions {
-    ioReverseSolution = 1, ioStrictlySimple = 2, ioPreserveCollinear = 4
-};
-enum JoinType {
-    jtSquare, jtRound, jtMiter
-};
-enum EndType {
-    etClosedPolygon, etClosedLine, etOpenButt, etOpenSquare, etOpenRound
-};
-
-class PolyNode;
-
-typedef std::vector<PolyNode *> PolyNodes;
-
-class PolyNode {
-public:
-    PolyNode();
-
-    virtual ~PolyNode() {};
-    Path Contour;
-    PolyNodes Childs;
-    PolyNode *Parent;
-
-    PolyNode *GetNext() const;
-
-    bool IsHole() const;
-
-    bool IsOpen() const;
-
-    int ChildCount() const;
-
-private:
-    //PolyNode& operator =(PolyNode& other);
-    unsigned Index; //node index in Parent.Childs
-    bool m_IsOpen;
-    JoinType m_jointype;
-    EndType m_endtype;
-
-    PolyNode *GetNextSiblingUp() const;
-
-    void AddChild(PolyNode &child);
-
-    friend class Clipper; //to access Index
-    friend class ClipperOffset;
-};
-
-class PolyTree : public PolyNode {
-public:
-    ~PolyTree() { Clear(); };
-
-    PolyNode *GetFirst() const;
-
-    void Clear();
-
-    int Total() const;
-
-private:
-    //PolyTree& operator =(PolyTree& other);
-    PolyNodes AllNodes;
-
-    friend class Clipper; //to access AllNodes
-};
-
-bool Orientation(const Path &poly);
-
-double Area(const Path &poly);
-
-int PointInPolygon(const IntPoint &pt, const Path &path);
-
-void SimplifyPolygon(const Path &in_poly, Paths &out_polys, PolyFillType fillType = pftEvenOdd);
-
-void SimplifyPolygons(const Paths &in_polys, Paths &out_polys, PolyFillType fillType = pftEvenOdd);
-
-void SimplifyPolygons(Paths &polys, PolyFillType fillType = pftEvenOdd);
-
-void CleanPolygon(const Path &in_poly, Path &out_poly, double distance = 1.415);
-
-void CleanPolygon(Path &poly, double distance = 1.415);
-
-void CleanPolygons(const Paths &in_polys, Paths &out_polys, double distance = 1.415);
-
-void CleanPolygons(Paths &polys, double distance = 1.415);
-
-void MinkowskiSum(const Path &pattern, const Path &path, Paths &solution, bool pathIsClosed);
-
-void MinkowskiSum(const Path &pattern, const Paths &paths, Paths &solution, bool pathIsClosed);
-
-void MinkowskiDiff(const Path &poly1, const Path &poly2, Paths &solution);
-
-void PolyTreeToPaths(const PolyTree &polytree, Paths &paths);
-
-void ClosedPathsFromPolyTree(const PolyTree &polytree, Paths &paths);
-
-void OpenPathsFromPolyTree(PolyTree &polytree, Paths &paths);
-
-void ReversePath(Path &p);
-
-void ReversePaths(Paths &p);
-
-struct IntRect {
-    cInt left;
-    cInt top;
-    cInt right;
-    cInt bottom;
-};
-
-//enums that are used internally ...
-enum EdgeSide {
-    esLeft = 1, esRight = 2
-};
-
-//forward declarations (for stuff used internally) ...
-struct TEdge;
-struct IntersectNode;
-struct LocalMinimum;
-struct OutPt;
-struct OutRec;
-struct Join;
-
-typedef std::vector<OutRec *> PolyOutList;
-typedef std::vector<TEdge *> EdgeList;
-typedef std::vector<Join *> JoinList;
-typedef std::vector<IntersectNode *> IntersectList;
-
-//------------------------------------------------------------------------------
-
-//ClipperBase is the ancestor to the Clipper class. It should not be
-//instantiated directly. This class simply abstracts the conversion of sets of
-//polygon coordinates into edge objects that are stored in a LocalMinima list.
-class ClipperBase {
-public:
-    ClipperBase();
-
-    virtual ~ClipperBase();
-
-    virtual bool AddPath(const Path &pg, PolyType PolyTyp, bool Closed);
-
-    bool AddPaths(const Paths &ppg, PolyType PolyTyp, bool Closed);
-
-    virtual void Clear();
-
-    IntRect GetBounds();
-
-    bool PreserveCollinear() { return m_PreserveCollinear; };
-
-    void PreserveCollinear(bool value) { m_PreserveCollinear = value; };
-protected:
-    void DisposeLocalMinimaList();
-
-    TEdge *AddBoundsToLML(TEdge *e, bool IsClosed);
-
-    virtual void Reset();
-
-    TEdge *ProcessBound(TEdge *E, bool IsClockwise);
-
-    void InsertScanbeam(const cInt Y);
-
-    bool PopScanbeam(cInt &Y);
-
-    bool LocalMinimaPending();
-
-    bool PopLocalMinima(cInt Y, const LocalMinimum *&locMin);
-
-    OutRec *CreateOutRec();
-
-    void DisposeAllOutRecs();
-
-    void DisposeOutRec(PolyOutList::size_type index);
-
-    void SwapPositionsInAEL(TEdge *edge1, TEdge *edge2);
-
-    void DeleteFromAEL(TEdge *e);
-
-    void UpdateEdgeIntoAEL(TEdge *&e);
-
-    typedef std::vector <LocalMinimum> MinimaList;
-    MinimaList::iterator m_CurrentLM;
-    MinimaList m_MinimaList;
-
-    bool m_UseFullRange;
-    EdgeList m_edges;
-    bool m_PreserveCollinear;
-    bool m_HasOpenPaths;
-    PolyOutList m_PolyOuts;
-    TEdge *m_ActiveEdges;
-
-    typedef std::priority_queue <cInt> ScanbeamList;
-    ScanbeamList m_Scanbeam;
-};
-//------------------------------------------------------------------------------
-
-class Clipper : public virtual ClipperBase {
-public:
-    Clipper(int initOptions = 0);
-
-    bool Execute(ClipType clipType,
-                 Paths &solution,
-                 PolyFillType fillType = pftEvenOdd);
-
-    bool Execute(ClipType clipType,
-                 Paths &solution,
-                 PolyFillType subjFillType,
-                 PolyFillType clipFillType);
-
-    bool Execute(ClipType clipType,
-                 PolyTree &polytree,
-                 PolyFillType fillType = pftEvenOdd);
-
-    bool Execute(ClipType clipType,
-                 PolyTree &polytree,
-                 PolyFillType subjFillType,
-                 PolyFillType clipFillType);
-
-    bool ReverseSolution() { return m_ReverseOutput; };
-
-    void ReverseSolution(bool value) { m_ReverseOutput = value; };
-
-    bool StrictlySimple() { return m_StrictSimple; };
-
-    void StrictlySimple(bool value) { m_StrictSimple = value; };
-    //set the callback function for z value filling on intersections (otherwise Z is 0)
-#ifdef use_xyz
-    void ZFillFunction(ZFillCallback zFillFunc);
-#endif
-protected:
-    virtual bool ExecuteInternal();
-
-private:
-    JoinList m_Joins;
-    JoinList m_GhostJoins;
-    IntersectList m_IntersectList;
-    ClipType m_ClipType;
-    typedef std::list <cInt> MaximaList;
-    MaximaList m_Maxima;
-    TEdge *m_SortedEdges;
-    bool m_ExecuteLocked;
-    PolyFillType m_ClipFillType;
-    PolyFillType m_SubjFillType;
-    bool m_ReverseOutput;
-    bool m_UsingPolyTree;
-    bool m_StrictSimple;
-#ifdef use_xyz
-    ZFillCallback   m_ZFill; //custom callback
-#endif
-
-    void SetWindingCount(TEdge &edge);
-
-    bool IsEvenOddFillType(const TEdge &edge) const;
-
-    bool IsEvenOddAltFillType(const TEdge &edge) const;
-
-    void InsertLocalMinimaIntoAEL(const cInt botY);
-
-    void InsertEdgeIntoAEL(TEdge *edge, TEdge *startEdge);
-
-    void AddEdgeToSEL(TEdge *edge);
-
-    bool PopEdgeFromSEL(TEdge *&edge);
-
-    void CopyAELToSEL();
-
-    void DeleteFromSEL(TEdge *e);
-
-    void SwapPositionsInSEL(TEdge *edge1, TEdge *edge2);
-
-    bool IsContributing(const TEdge &edge) const;
-
-    bool IsTopHorz(const cInt XPos);
-
-    void DoMaxima(TEdge *e);
-
-    void ProcessHorizontals();
-
-    void ProcessHorizontal(TEdge *horzEdge);
-
-    void AddLocalMaxPoly(TEdge *e1, TEdge *e2, const IntPoint &pt);
-
-    OutPt *AddLocalMinPoly(TEdge *e1, TEdge *e2, const IntPoint &pt);
-
-    OutRec *GetOutRec(int idx);
-
-    void AppendPolygon(TEdge *e1, TEdge *e2);
-
-    void IntersectEdges(TEdge *e1, TEdge *e2, IntPoint &pt);
-
-    OutPt *AddOutPt(TEdge *e, const IntPoint &pt);
-
-    OutPt *GetLastOutPt(TEdge *e);
-
-    bool ProcessIntersections(const cInt topY);
-
-    void BuildIntersectList(const cInt topY);
-
-    void ProcessIntersectList();
-
-    void ProcessEdgesAtTopOfScanbeam(const cInt topY);
-
-    void BuildResult(Paths &polys);
-
-    void BuildResult2(PolyTree &polytree);
-
-    void SetHoleState(TEdge *e, OutRec *outrec);
-
-    void DisposeIntersectNodes();
-
-    bool FixupIntersectionOrder();
-
-    void FixupOutPolygon(OutRec &outrec);
-
-    void FixupOutPolyline(OutRec &outrec);
-
-    bool IsHole(TEdge *e);
-
-    bool FindOwnerFromSplitRecs(OutRec &outRec, OutRec *&currOrfl);
-
-    void FixHoleLinkage(OutRec &outrec);
-
-    void AddJoin(OutPt *op1, OutPt *op2, const IntPoint offPt);
-
-    void ClearJoins();
-
-    void ClearGhostJoins();
-
-    void AddGhostJoin(OutPt *op, const IntPoint offPt);
-
-    bool JoinPoints(Join *j, OutRec *outRec1, OutRec *outRec2);
-
-    void JoinCommonEdges();
-
-    void DoSimplePolygons();
-
-    void FixupFirstLefts1(OutRec *OldOutRec, OutRec *NewOutRec);
-
-    void FixupFirstLefts2(OutRec *InnerOutRec, OutRec *OuterOutRec);
-
-    void FixupFirstLefts3(OutRec *OldOutRec, OutRec *NewOutRec);
-
-#ifdef use_xyz
-    void SetZ(IntPoint& pt, TEdge& e1, TEdge& e2);
-#endif
-};
-//------------------------------------------------------------------------------
-
-class ClipperOffset {
-public:
-    ClipperOffset(double miterLimit = 2.0, double roundPrecision = 0.25);
-
-    ~ClipperOffset();
-
-    void AddPath(const Path &path, JoinType joinType, EndType endType);
-
-    void AddPaths(const Paths &paths, JoinType joinType, EndType endType);
-
-    void Execute(Paths &solution, double delta);
-
-    void Execute(PolyTree &solution, double delta);
-
-    void Clear();
-
-    double MiterLimit;
-    double ArcTolerance;
-private:
-    Paths m_destPolys;
-    Path m_srcPoly;
-    Path m_destPoly;
-    std::vector <DoublePoint> m_normals;
-    double m_delta, m_sinA, m_sin, m_cos;
-    double m_miterLim, m_StepsPerRad;
-    IntPoint m_lowest;
-    PolyNode m_polyNodes;
-
-    void FixOrientations();
-
-    void DoOffset(double delta);
-
-    void OffsetPoint(int j, int &k, JoinType jointype);
-
-    void DoSquare(int j, int k);
-
-    void DoMiter(int j, int k, double r);
-
-    void DoRound(int j, int k);
-};
-//------------------------------------------------------------------------------
-
-class clipperException : public std::exception {
-public:
-    clipperException(const char *description) : m_descr(description) {}
-
-    virtual ~clipperException() throw() {}
-
-    virtual const char *what() const throw() { return m_descr.c_str(); }
-
-private:
-    std::string m_descr;
-};
-//------------------------------------------------------------------------------
-
-} //ClipperLib namespace
-
-#endif //clipper_hpp
-
-

deploy/android_demo/app/src/main/cpp/ocr_crnn_process.cpp

-// 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.
-
-#include "ocr_crnn_process.h"
-#include <iostream>
-#include <vector>
-#include <iostream>
-#include <cstring>
-#include <fstream>
-#include <cmath>
-
-const std::string CHARACTER_TYPE = "ch";
-const int MAX_DICT_LENGTH = 6624;
-const std::vector<int> REC_IMAGE_SHAPE = {3, 32, 320};
-
-static cv::Mat crnn_resize_norm_img(cv::Mat img, float wh_ratio) {
-    int imgC = REC_IMAGE_SHAPE[0];
-    int imgW = REC_IMAGE_SHAPE[2];
-    int imgH = REC_IMAGE_SHAPE[1];
-
-    if (CHARACTER_TYPE == "ch")
-        imgW = int(32 * wh_ratio);
-
-    float ratio = float(img.cols) / float(img.rows);
-    int resize_w = 0;
-    if (ceilf(imgH * ratio) > imgW)
-        resize_w = imgW;
-    else
-        resize_w = int(ceilf(imgH * ratio));
-    cv::Mat resize_img;
-    cv::resize(img, resize_img, cv::Size(resize_w, imgH), 0.f, 0.f, cv::INTER_CUBIC);
-
-    resize_img.convertTo(resize_img, CV_32FC3, 1 / 255.f);
-
-    for (int h = 0; h < resize_img.rows; h++) {
-        for (int w = 0; w < resize_img.cols; w++) {
-            resize_img.at<cv::Vec3f>(h, w)[0] = (resize_img.at<cv::Vec3f>(h, w)[0] - 0.5) * 2;
-            resize_img.at<cv::Vec3f>(h, w)[1] = (resize_img.at<cv::Vec3f>(h, w)[1] - 0.5) * 2;
-            resize_img.at<cv::Vec3f>(h, w)[2] = (resize_img.at<cv::Vec3f>(h, w)[2] - 0.5) * 2;
-        }
-    }
-
-    cv::Mat dist;
-    cv::copyMakeBorder(resize_img, dist, 0, 0, 0, int(imgW - resize_w), cv::BORDER_CONSTANT,
-                       {0, 0, 0});
-
-    return dist;
-
-}
-
-cv::Mat crnn_resize_img(const cv::Mat &img, float wh_ratio) {
-    int imgC = REC_IMAGE_SHAPE[0];
-    int imgW = REC_IMAGE_SHAPE[2];
-    int imgH = REC_IMAGE_SHAPE[1];
-
-    if (CHARACTER_TYPE == "ch") {
-        imgW = int(32 * wh_ratio);
-    }
-
-    float ratio = float(img.cols) / float(img.rows);
-    int resize_w = 0;
-    if (ceilf(imgH * ratio) > imgW)
-        resize_w = imgW;
-    else
-        resize_w = int(ceilf(imgH * ratio));
-    cv::Mat resize_img;
-    cv::resize(img, resize_img, cv::Size(resize_w, imgH));
-    return resize_img;
-}
-
-
-cv::Mat get_rotate_crop_image(const cv::Mat &srcimage, const std::vector<std::vector<int>> &box) {
-
-    std::vector<std::vector<int>> points = box;
-
-    int x_collect[4] = {box[0][0], box[1][0], box[2][0], box[3][0]};
-    int y_collect[4] = {box[0][1], box[1][1], box[2][1], box[3][1]};
-    int left = int(*std::min_element(x_collect, x_collect + 4));
-    int right = int(*std::max_element(x_collect, x_collect + 4));
-    int top = int(*std::min_element(y_collect, y_collect + 4));
-    int bottom = int(*std::max_element(y_collect, y_collect + 4));
-
-    cv::Mat img_crop;
-    srcimage(cv::Rect(left, top, right - left, bottom - top)).copyTo(img_crop);
-
-    for (int i = 0; i < points.size(); i++) {
-        points[i][0] -= left;
-        points[i][1] -= top;
-    }
-
-    int img_crop_width = int(sqrt(pow(points[0][0] - points[1][0], 2) +
-                                  pow(points[0][1] - points[1][1], 2)));
-    int img_crop_height = int(sqrt(pow(points[0][0] - points[3][0], 2) +
-                                   pow(points[0][1] - points[3][1], 2)));
-
-    cv::Point2f pts_std[4];
-    pts_std[0] = cv::Point2f(0., 0.);
-    pts_std[1] = cv::Point2f(img_crop_width, 0.);
-    pts_std[2] = cv::Point2f(img_crop_width, img_crop_height);
-    pts_std[3] = cv::Point2f(0.f, img_crop_height);
-
-    cv::Point2f pointsf[4];
-    pointsf[0] = cv::Point2f(points[0][0], points[0][1]);
-    pointsf[1] = cv::Point2f(points[1][0], points[1][1]);
-    pointsf[2] = cv::Point2f(points[2][0], points[2][1]);
-    pointsf[3] = cv::Point2f(points[3][0], points[3][1]);
-
-    cv::Mat M = cv::getPerspectiveTransform(pointsf, pts_std);
-
-    cv::Mat dst_img;
-    cv::warpPerspective(img_crop, dst_img, M, cv::Size(img_crop_width, img_crop_height),
-                        cv::BORDER_REPLICATE);
-
-    if (float(dst_img.rows) >= float(dst_img.cols) * 1.5) {
-        /*
-        cv::Mat srcCopy = cv::Mat(dst_img.rows, dst_img.cols, dst_img.depth());
-        cv::transpose(dst_img, srcCopy);
-        cv::flip(srcCopy, srcCopy, 0);
-        return srcCopy;
-        */
-        cv::transpose(dst_img, dst_img);
-        cv::flip(dst_img, dst_img, 0);
-        return dst_img;
-    } else {
-        return dst_img;
-    }
-
-}
-

deploy/android_demo/app/src/main/cpp/ocr_crnn_process.h

-//
-// Created by fujiayi on 2020/7/3.
-//
-#pragma once
-
-#include <vector>
-#include <opencv2/opencv.hpp>
-#include "common.h"
-
-extern const std::vector<int> REC_IMAGE_SHAPE;
-
-cv::Mat get_rotate_crop_image(const cv::Mat &srcimage, const std::vector<std::vector<int>> &box);
-
-cv::Mat crnn_resize_img(const cv::Mat &img, float wh_ratio);
-
-template<class ForwardIterator>
-inline size_t argmax(ForwardIterator first, ForwardIterator last) {
-    return std::distance(first, std::max_element(first, last));
-}
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/ocr_db_post_process.cpp

-// 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.
-
-#include <iostream>
-#include <vector>
-#include <math.h>
-#include "opencv2/core.hpp"
-#include "opencv2/imgcodecs.hpp"
-#include "opencv2/imgproc.hpp"
-#include "ocr_clipper.hpp"
-
-static void getcontourarea(float **box, float unclip_ratio, float &distance) {
-    int pts_num = 4;
-    float area = 0.0f;
-    float dist = 0.0f;
-    for (int i = 0; i < pts_num; i++) {
-        area += box[i][0] * box[(i + 1) % pts_num][1] - box[i][1] * box[(i + 1) % pts_num][0];
-        dist += sqrtf(
-            (box[i][0] - box[(i + 1) % pts_num][0]) * (box[i][0] - box[(i + 1) % pts_num][0]) +
-            (box[i][1] - box[(i + 1) % pts_num][1]) * (box[i][1] - box[(i + 1) % pts_num][1]));
-    }
-    area = fabs(float(area / 2.0));
-
-    distance = area * unclip_ratio / dist;
-
-}
-
-static cv::RotatedRect unclip(float **box) {
-    float unclip_ratio = 2.0;
-    float distance = 1.0;
-
-    getcontourarea(box, unclip_ratio, distance);
-
-    ClipperLib::ClipperOffset offset;
-    ClipperLib::Path p;
-    p << ClipperLib::IntPoint(int(box[0][0]), int(box[0][1]))
-      << ClipperLib::IntPoint(int(box[1][0]), int(box[1][1])) <<
-      ClipperLib::IntPoint(int(box[2][0]), int(box[2][1]))
-      << ClipperLib::IntPoint(int(box[3][0]), int(box[3][1]));
-    offset.AddPath(p, ClipperLib::jtRound, ClipperLib::etClosedPolygon);
-
-    ClipperLib::Paths soln;
-    offset.Execute(soln, distance);
-    std::vector<cv::Point2f> points;
-
-    for (int j = 0; j < soln.size(); j++) {
-        for (int i = 0; i < soln[soln.size() - 1].size(); i++) {
-            points.emplace_back(soln[j][i].X, soln[j][i].Y);
-        }
-    }
-    cv::RotatedRect res = cv::minAreaRect(points);
-
-    return res;
-}
-
-static float **Mat2Vec(cv::Mat mat) {
-    auto **array = new float *[mat.rows];
-    for (int i = 0; i < mat.rows; ++i){
-        array[i] = new float[mat.cols];
-    }
-    for (int i = 0; i < mat.rows; ++i) {
-        for (int j = 0; j < mat.cols; ++j) {
-            array[i][j] = mat.at<float>(i, j);
-        }
-    }
-
-    return array;
-}
-
-static void quickSort(float **s, int l, int r) {
-    if (l < r) {
-        int i = l, j = r;
-        float x = s[l][0];
-        float *xp = s[l];
-        while (i < j) {
-            while (i < j && s[j][0] >= x){
-                j--;
-            }
-            if (i < j){
-                std::swap(s[i++], s[j]);
-            }
-            while (i < j && s[i][0] < x){
-                i++;
-            }
-            if (i < j){
-                std::swap(s[j--], s[i]);
-            }
-        }
-        s[i] = xp;
-        quickSort(s, l, i - 1);
-        quickSort(s, i + 1, r);
-    }
-}
-
-static void quickSort_vector(std::vector<std::vector<int>> &box, int l, int r, int axis) {
-    if (l < r) {
-        int i = l, j = r;
-        int x = box[l][axis];
-        std::vector<int> xp(box[l]);
-        while (i < j) {
-            while (i < j && box[j][axis] >= x){
-                j--;
-            }
-            if (i < j){
-                std::swap(box[i++], box[j]);
-            }
-            while (i < j && box[i][axis] < x){
-                i++;
-            }
-            if (i < j){
-                std::swap(box[j--], box[i]);
-            }
-        }
-        box[i] = xp;
-        quickSort_vector(box, l, i - 1, axis);
-        quickSort_vector(box, i + 1, r, axis);
-    }
-}
-
-static std::vector<std::vector<int>> order_points_clockwise(std::vector<std::vector<int>> pts) {
-    std::vector<std::vector<int>> box = pts;
-    quickSort_vector(box, 0, int(box.size() - 1), 0);
-    std::vector<std::vector<int>> leftmost = {box[0], box[1]};
-    std::vector<std::vector<int>> rightmost = {box[2], box[3]};
-
-    if (leftmost[0][1] > leftmost[1][1]){
-        std::swap(leftmost[0], leftmost[1]);
-    }
-
-    if (rightmost[0][1] > rightmost[1][1]){
-        std::swap(rightmost[0], rightmost[1]);
-    }
-
-    std::vector<std::vector<int>> rect = {leftmost[0], rightmost[0], rightmost[1], leftmost[1]};
-    return rect;
-}
-
-static float **get_mini_boxes(cv::RotatedRect box, float &ssid) {
-    ssid = box.size.width >= box.size.height ? box.size.height : box.size.width;
-
-    cv::Mat points;
-    cv::boxPoints(box, points);
-    // sorted box points
-    auto array = Mat2Vec(points);
-    quickSort(array, 0, 3);
-
-    float *idx1 = array[0], *idx2 = array[1], *idx3 = array[2], *idx4 = array[3];
-    if (array[3][1] <= array[2][1]) {
-        idx2 = array[3];
-        idx3 = array[2];
-    } else {
-        idx2 = array[2];
-        idx3 = array[3];
-    }
-    if (array[1][1] <= array[0][1]) {
-        idx1 = array[1];
-        idx4 = array[0];
-    } else {
-        idx1 = array[0];
-        idx4 = array[1];
-    }
-
-    array[0] = idx1;
-    array[1] = idx2;
-    array[2] = idx3;
-    array[3] = idx4;
-
-    return array;
-}
-
-template <class T> T clamp(T x,   T min, T   max) {
-    if (x > max){
-        return  max;
-    }
-    if (x < min){
-        return min;
-    }
-    return x;
-}
-
-static float clampf(float x, float min, float max) {
-    if (x > max)
-        return max;
-    if (x < min)
-        return min;
-    return x;
-}
-
-
-float box_score_fast(float **box_array, cv::Mat pred) {
-    auto array = box_array;
-    int width = pred.cols;
-    int height = pred.rows;
-
-    float box_x[4] = {array[0][0], array[1][0], array[2][0], array[3][0]};
-    float box_y[4] = {array[0][1], array[1][1], array[2][1], array[3][1]};
-
-    int xmin = clamp(int(std::floorf(*(std::min_element(box_x, box_x + 4)))), 0, width - 1);
-    int xmax = clamp(int(std::ceilf(*(std::max_element(box_x, box_x + 4)))), 0, width - 1);
-    int ymin = clamp(int(std::floorf(*(std::min_element(box_y, box_y + 4)))), 0, height - 1);
-    int ymax = clamp(int(std::ceilf(*(std::max_element(box_y, box_y + 4)))), 0, height - 1);
-
-    cv::Mat mask;
-    mask = cv::Mat::zeros(ymax - ymin + 1, xmax - xmin + 1, CV_8UC1);
-
-    cv::Point root_point[4];
-    root_point[0] = cv::Point(int(array[0][0]) - xmin, int(array[0][1]) - ymin);
-    root_point[1] = cv::Point(int(array[1][0]) - xmin, int(array[1][1]) - ymin);
-    root_point[2] = cv::Point(int(array[2][0]) - xmin, int(array[2][1]) - ymin);
-    root_point[3] = cv::Point(int(array[3][0]) - xmin, int(array[3][1]) - ymin);
-    const cv::Point *ppt[1] = {root_point};
-    int npt[] = {4};
-    cv::fillPoly(mask, ppt, npt, 1, cv::Scalar(1));
-
-    cv::Mat croppedImg;
-    pred(cv::Rect(xmin, ymin, xmax - xmin + 1, ymax - ymin + 1)).copyTo(croppedImg);
-
-    auto score = cv::mean(croppedImg, mask)[0];
-    return score;
-}
-
-
-std::vector<std::vector<std::vector<int>>>
-boxes_from_bitmap(const cv::Mat& pred, const cv::Mat& bitmap) {
-    const int min_size = 3;
-    const int max_candidates = 1000;
-    const float box_thresh = 0.5;
-
-    int width = bitmap.cols;
-    int height = bitmap.rows;
-
-    std::vector<std::vector<cv::Point>> contours;
-    std::vector<cv::Vec4i> hierarchy;
-
-    cv::findContours(bitmap, contours, hierarchy, cv::RETR_LIST, cv::CHAIN_APPROX_SIMPLE);
-
-    int num_contours = contours.size() >= max_candidates ? max_candidates : contours.size();
-
-    std::vector<std::vector<std::vector<int>>> boxes;
-
-    for (int _i = 0; _i < num_contours; _i++) {
-        float ssid;
-        cv::RotatedRect box = cv::minAreaRect(contours[_i]);
-        auto array = get_mini_boxes(box, ssid);
-
-        auto box_for_unclip = array;
-        //end get_mini_box
-
-        if (ssid < min_size) {
-            continue;
-        }
-
-        float score;
-        score = box_score_fast(array, pred);
-        //end box_score_fast
-        if (score < box_thresh){
-            continue;
-        }
-
-
-        // start for unclip
-        cv::RotatedRect points = unclip(box_for_unclip);
-        // end for unclip
-
-        cv::RotatedRect clipbox = points;
-        auto cliparray = get_mini_boxes(clipbox, ssid);
-
-        if (ssid < min_size + 2) continue;
-
-        int dest_width = pred.cols;
-        int dest_height = pred.rows;
-        std::vector<std::vector<int>> intcliparray;
-
-        for (int num_pt = 0; num_pt < 4; num_pt++) {
-            std::vector<int> a{
-                int(clampf(roundf(cliparray[num_pt][0] / float(width) * float(dest_width)), 0,
-                           float(dest_width))),
-                int(clampf(roundf(cliparray[num_pt][1] / float(height) * float(dest_height)), 0,
-                           float(dest_height)))};
-            intcliparray.emplace_back(std::move(a));
-        }
-        boxes.emplace_back(std::move(intcliparray));
-
-    }//end for
-    return boxes;
-}
-
-int _max(int a, int b) {
-    return a >= b ? a : b;
-}
-
-int _min(int a, int b) {
-    return a >= b ? b : a;
-}
-
-std::vector<std::vector<std::vector<int>>>
-filter_tag_det_res(const std::vector<std::vector<std::vector<int>>>& o_boxes,
-                   float ratio_h, float ratio_w,const cv::Mat& srcimg) {
-    int oriimg_h = srcimg.rows;
-    int oriimg_w = srcimg.cols;
-    std::vector<std::vector<std::vector<int>>> boxes{o_boxes};
-    std::vector<std::vector<std::vector<int>>> root_points;
-    for (int n = 0; n < boxes.size(); n++) {
-        boxes[n] = order_points_clockwise(boxes[n]);
-        for (int m = 0; m < boxes[0].size(); m++) {
-            boxes[n][m][0] /= ratio_w;
-            boxes[n][m][1] /= ratio_h;
-
-            boxes[n][m][0] = int(_min(_max(boxes[n][m][0], 0), oriimg_w - 1));
-            boxes[n][m][1] = int(_min(_max(boxes[n][m][1], 0), oriimg_h - 1));
-        }
-    }
-
-    for (int n = 0; n < boxes.size(); n++) {
-        int rect_width, rect_height;
-        rect_width = int(sqrt(
-            pow(boxes[n][0][0] - boxes[n][1][0], 2) + pow(boxes[n][0][1] - boxes[n][1][1], 2)));
-        rect_height = int(sqrt(
-            pow(boxes[n][0][0] - boxes[n][3][0], 2) + pow(boxes[n][0][1] - boxes[n][3][1], 2)));
-        if (rect_width <= 10 || rect_height <= 10)
-            continue;
-        root_points.push_back(boxes[n]);
-    }
-    return root_points;
-}
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/ocr_db_post_process.h

-//
-// Created by fujiayi on 2020/7/2.
-//
-#pragma once
-#include <vector>
-#include <opencv2/opencv.hpp>
-
-std::vector<std::vector<std::vector<int>>>
-boxes_from_bitmap(const cv::Mat &pred, const cv::Mat &bitmap);
-
-std::vector<std::vector<std::vector<int>>>
-filter_tag_det_res(
-    const std::vector<std::vector<std::vector<int>>> &o_boxes,
-    float ratio_h,
-    float ratio_w,
-    const cv::Mat &srcimg
-);
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/ocr_ppredictor.cpp

-//
-// Created by fujiayi on 2020/7/1.
-//
-
-#include "ocr_ppredictor.h"
-#include "preprocess.h"
-#include "common.h"
-#include "ocr_db_post_process.h"
-#include "ocr_crnn_process.h"
-
-namespace ppredictor {
-
-OCR_PPredictor::OCR_PPredictor(const OCR_Config &config) : _config(config) {
-
-}
-
-int
-OCR_PPredictor::init(const std::string &det_model_content, const std::string &rec_model_content) {
-    _det_predictor = std::unique_ptr<PPredictor>(
-        new PPredictor{_config.thread_num, NET_OCR, _config.mode});
-    _det_predictor->init_nb(det_model_content);
-
-    _rec_predictor = std::unique_ptr<PPredictor>(
-        new PPredictor{_config.thread_num, NET_OCR_INTERNAL, _config.mode});
-    _rec_predictor->init_nb(rec_model_content);
-    return RETURN_OK;
-}
-
-int OCR_PPredictor::init_from_file(const std::string &det_model_path, const std::string &rec_model_path){
-    _det_predictor = std::unique_ptr<PPredictor>(
-        new PPredictor{_config.thread_num, NET_OCR, _config.mode});
-    _det_predictor->init_from_file(det_model_path);
-
-    _rec_predictor = std::unique_ptr<PPredictor>(
-        new PPredictor{_config.thread_num, NET_OCR_INTERNAL, _config.mode});
-    _rec_predictor->init_from_file(rec_model_path);
-    return RETURN_OK;
-}
-/**
- * for debug use, show result of First Step
- * @param filter_boxes
- * @param boxes
- * @param srcimg
- */
-static void visual_img(const std::vector<std::vector<std::vector<int>>> &filter_boxes,
-                       const std::vector<std::vector<std::vector<int>>> &boxes,
-                       const cv::Mat &srcimg) {
-    // visualization
-    cv::Point rook_points[filter_boxes.size()][4];
-    for (int n = 0; n < filter_boxes.size(); n++) {
-        for (int m = 0; m < filter_boxes[0].size(); m++) {
-            rook_points[n][m] = cv::Point(int(filter_boxes[n][m][0]), int(filter_boxes[n][m][1]));
-        }
-    }
-
-    cv::Mat img_vis;
-    srcimg.copyTo(img_vis);
-    for (int n = 0; n < boxes.size(); n++) {
-        const cv::Point *ppt[1] = {rook_points[n]};
-        int npt[] = {4};
-        cv::polylines(img_vis, ppt, npt, 1, 1, CV_RGB(0, 255, 0), 2, 8, 0);
-    }
-    // 调试用，自行替换需要修改的路径
-    cv::imwrite("/sdcard/1/vis.png", img_vis);
-}
-
-std::vector<OCRPredictResult>
-OCR_PPredictor::infer_ocr(const std::vector<int64_t> &dims, const float *input_data, int input_len,
-                          int net_flag, cv::Mat &origin) {
-
-    PredictorInput input = _det_predictor->get_first_input();
-    input.set_dims(dims);
-    input.set_data(input_data, input_len);
-    std::vector<PredictorOutput> results = _det_predictor->infer();
-    PredictorOutput &res = results.at(0);
-    std::vector<std::vector<std::vector<int>>> filtered_box
-        = calc_filtered_boxes(res.get_float_data(), res.get_size(), (int) dims[2], (int) dims[3],
-                              origin);
-    LOGI("Filter_box size %ld", filtered_box.size());
-    return infer_rec(filtered_box, origin);
-}
-
-std::vector<OCRPredictResult>
-OCR_PPredictor::infer_rec(const std::vector<std::vector<std::vector<int>>> &boxes,
-                          const cv::Mat &origin_img) {
-    std::vector<float> mean = {0.5f, 0.5f, 0.5f};
-    std::vector<float> scale = {1 / 0.5f, 1 / 0.5f, 1 / 0.5f};
-    std::vector<int64_t> dims = {1, 3, 0, 0};
-    std::vector<OCRPredictResult> ocr_results;
-
-    PredictorInput input = _rec_predictor->get_first_input();
-    for (auto bp = boxes.crbegin(); bp != boxes.crend(); ++bp) {
-        const std::vector<std::vector<int>> &box = *bp;
-        cv::Mat crop_img = get_rotate_crop_image(origin_img, box);
-        float wh_ratio = float(crop_img.cols) / float(crop_img.rows);
-        cv::Mat input_image = crnn_resize_img(crop_img, wh_ratio);
-        input_image.convertTo(input_image, CV_32FC3, 1 / 255.0f);
-        const float *dimg = reinterpret_cast<const float *>(input_image.data);
-        int input_size = input_image.rows * input_image.cols;
-
-        dims[2] = input_image.rows;
-        dims[3] = input_image.cols;
-        input.set_dims(dims);
-
-        neon_mean_scale(dimg, input.get_mutable_float_data(), input_size, mean, scale);
-
-        std::vector<PredictorOutput> results = _rec_predictor->infer();
-
-        OCRPredictResult res;
-        res.word_index = postprocess_rec_word_index(results.at(0));
-        if (res.word_index.empty()) {
-            continue;
-        }
-        res.score = postprocess_rec_score(results.at(1));
-        res.points = box;
-        ocr_results.emplace_back(std::move(res));
-    }
-    LOGI("ocr_results finished %lu", ocr_results.size());
-    return ocr_results;
-}
-
-std::vector<std::vector<std::vector<int>>>
-OCR_PPredictor::calc_filtered_boxes(const float *pred, int pred_size, int output_height,
-                                    int output_width, const cv::Mat &origin) {
-    const double threshold = 0.3;
-    const double maxvalue = 1;
-
-    cv::Mat pred_map = cv::Mat::zeros(output_height, output_width, CV_32F);
-    memcpy(pred_map.data, pred, pred_size * sizeof(float));
-    cv::Mat cbuf_map;
-    pred_map.convertTo(cbuf_map, CV_8UC1);
-
-    cv::Mat bit_map;
-    cv::threshold(cbuf_map, bit_map, threshold, maxvalue, cv::THRESH_BINARY);
-
-    std::vector<std::vector<std::vector<int>>> boxes = boxes_from_bitmap(pred_map, bit_map);
-    float ratio_h = output_height * 1.0f / origin.rows;
-    float ratio_w = output_width * 1.0f / origin.cols;
-    std::vector<std::vector<std::vector<int>>> filter_boxes = filter_tag_det_res(boxes, ratio_h,
-                                                                                 ratio_w, origin);
-    return filter_boxes;
-}
-
-std::vector<int> OCR_PPredictor::postprocess_rec_word_index(const PredictorOutput &res) {
-    const int *rec_idx = res.get_int_data();
-    const std::vector<std::vector<uint64_t>> rec_idx_lod = res.get_lod();
-
-    std::vector<int> pred_idx;
-    for (int n = int(rec_idx_lod[0][0]); n < int(rec_idx_lod[0][1] * 2); n += 2) {
-        pred_idx.emplace_back(rec_idx[n]);
-    }
-    return pred_idx;
-}
-
-float OCR_PPredictor::postprocess_rec_score(const PredictorOutput &res) {
-    const float *predict_batch = res.get_float_data();
-    const std::vector<int64_t> predict_shape = res.get_shape();
-    const std::vector<std::vector<uint64_t>> predict_lod = res.get_lod();
-    int blank = predict_shape[1];
-    float score = 0.f;
-    int count = 0;
-    for (int n = predict_lod[0][0]; n < predict_lod[0][1] - 1; n++) {
-        int argmax_idx = argmax(predict_batch + n * predict_shape[1],
-                                predict_batch + (n + 1) * predict_shape[1]);
-        float max_value = predict_batch[n * predict_shape[1] + argmax_idx];
-        if (blank - 1 - argmax_idx > 1e-5) {
-            score += max_value;
-            count += 1;
-        }
-
-    }
-    if (count == 0) {
-        LOGE("calc score count 0");
-    } else {
-        score /= count;
-    }
-    LOGI("calc score: %f", score);
-    return score;
-
-}
-
-
-NET_TYPE OCR_PPredictor::get_net_flag() const {
-    return NET_OCR;
-}
-}
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/ocr_ppredictor.h

-//
-// Created by fujiayi on 2020/7/1.
-//
-
-#pragma once
-
-#include <string>
-#include <opencv2/opencv.hpp>
-#include <paddle_api.h>
-#include "ppredictor.h"
-
-namespace ppredictor {
-
-/**
- * Config
- */
-struct OCR_Config {
-    int thread_num = 4; // Thread num
-    paddle::lite_api::PowerMode mode = paddle::lite_api::LITE_POWER_HIGH; // PaddleLite Mode
-};
-
-/**
- * PolyGone Result
- */
-struct OCRPredictResult {
-    std::vector<int> word_index;
-    std::vector<std::vector<int>> points;
-    float score;
-};
-
-/**
- * OCR there are 2 models
- * 1. First model（det），select polygones to show where are the texts
- * 2. crop from the origin images, use these polygones to infer
- */
-class OCR_PPredictor : public PPredictor_Interface {
-public:
-    OCR_PPredictor(const OCR_Config &config);
-
-    virtual ~OCR_PPredictor() {
-
-    }
-
-    /**
-     * 初始化二个模型的Predictor
-     * @param det_model_content
-     * @param rec_model_content
-     * @return
-     */
-    int init(const std::string &det_model_content, const std::string &rec_model_content);
-    int init_from_file(const std::string &det_model_path, const std::string &rec_model_path);
-    /**
-     * Return OCR result
-     * @param dims
-     * @param input_data
-     * @param input_len
-     * @param net_flag
-     * @param origin
-     * @return
-     */
-    virtual std::vector<OCRPredictResult>
-    infer_ocr(const std::vector<int64_t> &dims, const float *input_data, int input_len,
-              int net_flag, cv::Mat &origin);
-
-
-    virtual NET_TYPE get_net_flag() const;
-
-
-private:
-
-    /**
-     * calcul Polygone from the result image of first model
-     * @param pred
-     * @param output_height
-     * @param output_width
-     * @param origin
-     * @return
-     */
-    std::vector<std::vector<std::vector<int>>>
-    calc_filtered_boxes(const float *pred, int pred_size, int output_height, int output_width,
-                        const cv::Mat &origin);
-
-    /**
-     * infer for second model
-     *
-     * @param boxes
-     * @param origin
-     * @return
-     */
-    std::vector<OCRPredictResult>
-    infer_rec(const std::vector<std::vector<std::vector<int>>> &boxes, const cv::Mat &origin);
-
-    /**
-     * Postprocess or sencod model to extract text
-     * @param res
-     * @return
-     */
-    std::vector<int> postprocess_rec_word_index(const PredictorOutput &res);
-
-    /**
-     * calculate confidence of second model text result
-     * @param res
-     * @return
-     */
-    float postprocess_rec_score(const PredictorOutput &res);
-
-    std::unique_ptr<PPredictor> _det_predictor;
-    std::unique_ptr<PPredictor> _rec_predictor;
-    OCR_Config _config;
-
-};
-}

deploy/android_demo/app/src/main/cpp/ppredictor.cpp

-#include "ppredictor.h"
-#include "common.h"
-
-namespace ppredictor {
-PPredictor::PPredictor(int thread_num, int net_flag, paddle::lite_api::PowerMode mode) :
-    _thread_num(thread_num), _net_flag(net_flag), _mode(mode) {
-}
-
-int PPredictor::init_nb(const std::string &model_content) {
-    paddle::lite_api::MobileConfig config;
-    config.set_model_from_buffer(model_content);
-    return _init(config);
-}
-
-int PPredictor::init_from_file(const std::string &model_content){
-    paddle::lite_api::MobileConfig config;
-    config.set_model_from_file(model_content);
-    return _init(config);
-}
-
-template<typename ConfigT>
-int PPredictor::_init(ConfigT &config) {
-    config.set_threads(_thread_num);
-    config.set_power_mode(_mode);
-    _predictor = paddle::lite_api::CreatePaddlePredictor(config);
-    LOGI("paddle instance created");
-    return RETURN_OK;
-}
-
-PredictorInput PPredictor::get_input(int index) {
-    PredictorInput input{_predictor->GetInput(index), index, _net_flag};
-    _is_input_get = true;
-    return input;
-}
-
-std::vector<PredictorInput> PPredictor::get_inputs(int num) {
-    std::vector<PredictorInput> results;
-    for (int i = 0; i < num; i++) {
-        results.emplace_back(get_input(i));
-    }
-    return results;
-}
-
-PredictorInput PPredictor::get_first_input() {
-    return get_input(0);
-}
-
-std::vector<PredictorOutput> PPredictor::infer() {
-    LOGI("infer Run start %d", _net_flag);
-    std::vector<PredictorOutput> results;
-    if (!_is_input_get) {
-        return results;
-    }
-    _predictor->Run();
-    LOGI("infer Run end");
-
-    for (int i = 0; i < _predictor->GetOutputNames().size(); i++) {
-        std::unique_ptr<const paddle::lite_api::Tensor> output_tensor = _predictor->GetOutput(i);
-        LOGI("output tensor[%d] size %ld", i, product(output_tensor->shape()));
-        PredictorOutput result{std::move(output_tensor), i, _net_flag};
-        results.emplace_back(std::move(result));
-    }
-    return results;
-}
-
-NET_TYPE PPredictor::get_net_flag() const {
-    return (NET_TYPE) _net_flag;
-}
-
-}
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/ppredictor.h

-#pragma once
-
-#include "paddle_api.h"
-#include "predictor_input.h"
-#include "predictor_output.h"
-
-namespace ppredictor {
-
-/**
- * PaddleLite Preditor Common Interface
- */
-class PPredictor_Interface {
-public:
-    virtual ~PPredictor_Interface() {
-
-    }
-
-
-    virtual NET_TYPE get_net_flag() const = 0;
-
-};
-
-/**
- * Common Predictor
- */
-class PPredictor : public PPredictor_Interface {
-public:
-    PPredictor(int thread_num, int net_flag = 0,
-               paddle::lite_api::PowerMode mode = paddle::lite_api::LITE_POWER_HIGH);
-
-    virtual ~PPredictor() {
-
-    }
-
-    /**
-     * init paddlitelite opt model，nb format ，or use ini_paddle
-     * @param model_content
-     * @return 0
-     */
-    virtual int init_nb(const std::string &model_content);
-
-    virtual int init_from_file(const std::string &model_content);
-
-    std::vector<PredictorOutput> infer();
-
-    std::shared_ptr<paddle::lite_api::PaddlePredictor> get_predictor() {
-        return _predictor;
-    }
-
-    virtual std::vector<PredictorInput> get_inputs(int num);
-
-    virtual PredictorInput get_input(int index);
-
-    virtual PredictorInput get_first_input();
-
-    virtual NET_TYPE get_net_flag() const;
-
-protected:
-    template<typename ConfigT>
-    int _init(ConfigT &config);
-
-private:
-    int _thread_num;
-    paddle::lite_api::PowerMode _mode;
-    std::shared_ptr<paddle::lite_api::PaddlePredictor> _predictor;
-    bool _is_input_get = false;
-    int _net_flag;
-
-};
-
-
-}
-
-

deploy/android_demo/app/src/main/cpp/predictor_input.cpp

-#include "predictor_input.h"
-
-namespace ppredictor {
-
-
-void PredictorInput::set_dims(std::vector<int64_t> dims) {
-    // yolov3
-    if (_net_flag == 101 && _index == 1) {
-        _tensor->Resize({1, 2});
-        _tensor->mutable_data<int>()[0] = (int) dims.at(2);
-        _tensor->mutable_data<int>()[1] = (int) dims.at(3);
-    } else {
-        _tensor->Resize(dims);
-    }
-    _is_dims_set = true;
-}
-
-float *PredictorInput::get_mutable_float_data() {
-    if (!_is_dims_set) {
-        LOGE("PredictorInput::set_dims is not called");
-    }
-    return _tensor->mutable_data<float>();
-}
-
-void PredictorInput::set_data(const float *input_data, int input_float_len) {
-    float *input_raw_data = get_mutable_float_data();
-    memcpy(input_raw_data, input_data, input_float_len * sizeof(float));
-}
-}
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/predictor_input.h

-#pragma once
-
-#include <paddle_api.h>
-#include <vector>
-#include "common.h"
-
-namespace ppredictor {
-class PredictorInput {
-public:
-    PredictorInput(std::unique_ptr<paddle::lite_api::Tensor> &&tensor, int index, int net_flag) :
-        _tensor(std::move(tensor)), _index(index),_net_flag(net_flag) {
-
-    }
-
-
-    void set_dims(std::vector<int64_t> dims);
-
-    float *get_mutable_float_data();
-
-    void set_data(const float *input_data, int input_float_len);
-
-private:
-    std::unique_ptr<paddle::lite_api::Tensor> _tensor;
-    bool _is_dims_set = false;
-    int _index;
-    int _net_flag;
-};
-}

deploy/android_demo/app/src/main/cpp/predictor_output.cpp

-#include "predictor_output.h"
-namespace ppredictor {
-const float* PredictorOutput::get_float_data() const{
-    return _tensor->data<float>();
-}
-
-const int* PredictorOutput::get_int_data() const{
-    return _tensor->data<int>();
-}
-
-const std::vector<std::vector<uint64_t>> PredictorOutput::get_lod() const{
-    return _tensor->lod();
-}
-
-int64_t PredictorOutput::get_size() const{
-    if (_net_flag == NET_OCR) {
-        return _tensor->shape().at(2) *  _tensor->shape().at(3);
-    } else {
-        return  product(_tensor->shape());
-    }
-}
-
-const std::vector<int64_t> PredictorOutput::get_shape()  const{
-    return _tensor->shape();
-
-}
-}
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/predictor_output.h

-#pragma once
-
-#include <paddle_api.h>
-#include <vector>
-#include "common.h"
-
-namespace ppredictor {
-class PredictorOutput {
-public:
-    PredictorOutput(){
-
-    }
-    PredictorOutput(std::unique_ptr<const paddle::lite_api::Tensor> &&tensor, int index, int net_flag) :
-        _tensor(std::move(tensor)), _index(index), _net_flag(net_flag) {
-
-    }
-
-    const float* get_float_data() const;
-    const int* get_int_data() const;
-    int64_t get_size() const;
-    const std::vector<std::vector<uint64_t>> get_lod() const;
-    const  std::vector<int64_t> get_shape() const;
-
-    std::vector<float> data; // return float, or use data_int
-    std::vector<int> data_int; // several layers return int ，or use data
-    std::vector<int64_t> shape; // PaddleLite output shape
-    std::vector<std::vector<uint64_t>> lod; // PaddleLite output lod
-
-private:
-    std::unique_ptr<const paddle::lite_api::Tensor> _tensor;
-    int _index;
-    int _net_flag;
-};
-}
-

deploy/android_demo/app/src/main/cpp/preprocess.cpp

-#include "preprocess.h"
-#include <android/bitmap.h>
-
-cv::Mat bitmap_to_cv_mat(JNIEnv *env, jobject bitmap) {
-    AndroidBitmapInfo info;
-    int result = AndroidBitmap_getInfo(env, bitmap, &info);
-    if (result != ANDROID_BITMAP_RESULT_SUCCESS) {
-        LOGE("AndroidBitmap_getInfo failed, result: %d", result);
-        return cv::Mat{};
-    }
-    if (info.format != ANDROID_BITMAP_FORMAT_RGBA_8888) {
-        LOGE("Bitmap format is not RGBA_8888 !");
-        return cv::Mat{};
-    }
-    unsigned char *srcData = NULL;
-    AndroidBitmap_lockPixels(env, bitmap, (void **) &srcData);
-    cv::Mat mat = cv::Mat::zeros(info.height, info.width, CV_8UC4);
-    memcpy(mat.data, srcData, info.height * info.width * 4);
-    AndroidBitmap_unlockPixels(env, bitmap);
-    cv::cvtColor(mat, mat, cv::COLOR_RGBA2BGR);
-    /**
-    if (!cv::imwrite("/sdcard/1/copy.jpg", mat)){
-        LOGE("Write image failed " );
-    }
-     */
-
-    return mat;
-}
-
-cv::Mat resize_img(const cv::Mat& img, int height, int width){
-    if (img.rows == height && img.cols == width){
-        return img;
-    }
-    cv::Mat new_img;
-    cv::resize(img, new_img, cv::Size(height, width));
-    return new_img;
-}
-
-// 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,
-                     const std::vector<float>& mean,
-                     const std::vector<float>& scale) {
-    if (mean.size() != 3 || scale.size() != 3) {
-        LOGE("[ERROR] mean or scale size must equal to 3");
-        return;
-    }
-
-    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(scale[0]);
-    float32x4_t vscale1 = vdupq_n_f32(scale[1]);
-    float32x4_t vscale2 = vdupq_n_f32(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_c1++) = (*(din++) - mean[1]) * scale[1];
-        *(dout_c2++) = (*(din++) - mean[2]) * scale[2];
-    }
-}
\ No newline at end of file

deploy/android_demo/app/src/main/cpp/preprocess.h

-#pragma once
-
-#include <jni.h>
-#include <opencv2/opencv.hpp>
-#include "common.h"
-cv::Mat bitmap_to_cv_mat(JNIEnv *env, jobject bitmap);
-
-cv::Mat resize_img(const cv::Mat& img, int height, int width);
-
-void neon_mean_scale(const float* din,
-                     float* dout,
-                     int size,
-                     const std::vector<float>& mean,
-                     const std::vector<float>& scale);

deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/AppCompatPreferenceActivity.java

-/*
- * 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.ocr;
-
-import android.content.res.Configuration;
-import android.os.Bundle;
-import android.preference.PreferenceActivity;
-import android.view.MenuInflater;
-import android.view.View;
-import android.view.ViewGroup;
-
-import androidx.annotation.LayoutRes;
-import androidx.annotation.Nullable;
-import androidx.appcompat.app.ActionBar;
-import androidx.appcompat.app.AppCompatDelegate;
-import androidx.appcompat.widget.Toolbar;
-
-/**
- * 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/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/MainActivity.java

-package com.baidu.paddle.lite.demo.ocr;
-
-import android.Manifest;
-import android.app.ProgressDialog;
-import android.content.ContentResolver;
-import android.content.Context;
-import android.content.Intent;
-import android.content.SharedPreferences;
-import android.content.pm.PackageManager;
-import android.database.Cursor;
-import android.graphics.Bitmap;
-import android.graphics.BitmapFactory;
-import android.media.ExifInterface;
-import android.net.Uri;
-import android.os.Bundle;
-import android.os.Environment;
-import android.os.Handler;
-import android.os.HandlerThread;
-import android.os.Message;
-import android.preference.PreferenceManager;
-import android.provider.MediaStore;
-import android.text.method.ScrollingMovementMethod;
-import android.util.Log;
-import android.view.Menu;
-import android.view.MenuInflater;
-import android.view.MenuItem;
-import android.widget.ImageView;
-import android.widget.TextView;
-import android.widget.Toast;
-
-import androidx.annotation.NonNull;
-import androidx.appcompat.app.AppCompatActivity;
-import androidx.core.app.ActivityCompat;
-import androidx.core.content.ContextCompat;
-import androidx.core.content.FileProvider;
-
-import java.io.File;
-import java.io.IOException;
-import java.io.InputStream;
-import java.text.SimpleDateFormat;
-import java.util.Date;
-
-public class MainActivity extends AppCompatActivity {
-    private static final String TAG = MainActivity.class.getSimpleName();
-    public static final int OPEN_GALLERY_REQUEST_CODE = 0;
-    public static final int TAKE_PHOTO_REQUEST_CODE = 1;
-
-    public static final int REQUEST_LOAD_MODEL = 0;
-    public static final int REQUEST_RUN_MODEL = 1;
-    public static final int RESPONSE_LOAD_MODEL_SUCCESSED = 0;
-    public static final int RESPONSE_LOAD_MODEL_FAILED = 1;
-    public static final int RESPONSE_RUN_MODEL_SUCCESSED = 2;
-    public static final int RESPONSE_RUN_MODEL_FAILED = 3;
-
-    protected ProgressDialog pbLoadModel = null;
-    protected ProgressDialog pbRunModel = null;
-
-    protected Handler receiver = null; // Receive messages from worker thread
-    protected Handler sender = null; // Send command to worker thread
-    protected HandlerThread worker = null; // Worker thread to load&run model
-
-    // UI components of object detection
-    protected TextView tvInputSetting;
-    protected ImageView ivInputImage;
-    protected TextView tvOutputResult;
-    protected TextView tvInferenceTime;
-
-    // Model settings of object detection
-    protected String modelPath = "";
-    protected String labelPath = "";
-    protected String imagePath = "";
-    protected int cpuThreadNum = 1;
-    protected String cpuPowerMode = "";
-    protected String inputColorFormat = "";
-    protected long[] inputShape = new long[]{};
-    protected float[] inputMean = new float[]{};
-    protected float[] inputStd = new float[]{};
-    protected float scoreThreshold = 0.1f;
-    private String currentPhotoPath;
-
-    protected Predictor predictor = new Predictor();
-
-    @Override
-    protected void onCreate(Bundle savedInstanceState) {
-        super.onCreate(savedInstanceState);
-        setContentView(R.layout.activity_main);
-
-        // Clear all setting items to avoid app crashing due to the incorrect settings
-        SharedPreferences sharedPreferences = PreferenceManager.getDefaultSharedPreferences(this);
-        SharedPreferences.Editor editor = sharedPreferences.edit();
-        editor.clear();
-        editor.commit();
-
-        // Prepare the worker thread for mode loading and inference
-        receiver = new Handler() {
-            @Override
-            public void handleMessage(Message msg) {
-                switch (msg.what) {
-                    case RESPONSE_LOAD_MODEL_SUCCESSED:
-                        pbLoadModel.dismiss();
-                        onLoadModelSuccessed();
-                        break;
-                    case RESPONSE_LOAD_MODEL_FAILED:
-                        pbLoadModel.dismiss();
-                        Toast.makeText(MainActivity.this, "Load model failed!", Toast.LENGTH_SHORT).show();
-                        onLoadModelFailed();
-                        break;
-                    case RESPONSE_RUN_MODEL_SUCCESSED:
-                        pbRunModel.dismiss();
-                        onRunModelSuccessed();
-                        break;
-                    case RESPONSE_RUN_MODEL_FAILED:
-                        pbRunModel.dismiss();
-                        Toast.makeText(MainActivity.this, "Run model failed!", Toast.LENGTH_SHORT).show();
-                        onRunModelFailed();
-                        break;
-                    default:
-                        break;
-                }
-            }
-        };
-
-        worker = new HandlerThread("Predictor Worker");
-        worker.start();
-        sender = new Handler(worker.getLooper()) {
-            public void handleMessage(Message msg) {
-                switch (msg.what) {
-                    case REQUEST_LOAD_MODEL:
-                        // Load model and reload test image
-                        if (onLoadModel()) {
-                            receiver.sendEmptyMessage(RESPONSE_LOAD_MODEL_SUCCESSED);
-                        } else {
-                            receiver.sendEmptyMessage(RESPONSE_LOAD_MODEL_FAILED);
-                        }
-                        break;
-                    case REQUEST_RUN_MODEL:
-                        // Run model if model is loaded
-                        if (onRunModel()) {
-                            receiver.sendEmptyMessage(RESPONSE_RUN_MODEL_SUCCESSED);
-                        } else {
-                            receiver.sendEmptyMessage(RESPONSE_RUN_MODEL_FAILED);
-                        }
-                        break;
-                    default:
-                        break;
-                }
-            }
-        };
-
-        // Setup the UI components
-        tvInputSetting = findViewById(R.id.tv_input_setting);
-        ivInputImage = findViewById(R.id.iv_input_image);
-        tvInferenceTime = findViewById(R.id.tv_inference_time);
-        tvOutputResult = findViewById(R.id.tv_output_result);
-        tvInputSetting.setMovementMethod(ScrollingMovementMethod.getInstance());
-        tvOutputResult.setMovementMethod(ScrollingMovementMethod.getInstance());
-    }
-
-    @Override
-    protected void onResume() {
-        super.onResume();
-        SharedPreferences sharedPreferences = PreferenceManager.getDefaultSharedPreferences(this);
-        boolean settingsChanged = false;
-        String model_path = sharedPreferences.getString(getString(R.string.MODEL_PATH_KEY),
-                getString(R.string.MODEL_PATH_DEFAULT));
-        String label_path = sharedPreferences.getString(getString(R.string.LABEL_PATH_KEY),
-                getString(R.string.LABEL_PATH_DEFAULT));
-        String image_path = sharedPreferences.getString(getString(R.string.IMAGE_PATH_KEY),
-                getString(R.string.IMAGE_PATH_DEFAULT));
-        settingsChanged |= !model_path.equalsIgnoreCase(modelPath);
-        settingsChanged |= !label_path.equalsIgnoreCase(labelPath);
-        settingsChanged |= !image_path.equalsIgnoreCase(imagePath);
-        int cpu_thread_num = Integer.parseInt(sharedPreferences.getString(getString(R.string.CPU_THREAD_NUM_KEY),
-                getString(R.string.CPU_THREAD_NUM_DEFAULT)));
-        settingsChanged |= cpu_thread_num != cpuThreadNum;
-        String cpu_power_mode =
-                sharedPreferences.getString(getString(R.string.CPU_POWER_MODE_KEY),
-                        getString(R.string.CPU_POWER_MODE_DEFAULT));
-        settingsChanged |= !cpu_power_mode.equalsIgnoreCase(cpuPowerMode);
-        String input_color_format =
-                sharedPreferences.getString(getString(R.string.INPUT_COLOR_FORMAT_KEY),
-                        getString(R.string.INPUT_COLOR_FORMAT_DEFAULT));
-        settingsChanged |= !input_color_format.equalsIgnoreCase(inputColorFormat);
-        long[] input_shape =
-                Utils.parseLongsFromString(sharedPreferences.getString(getString(R.string.INPUT_SHAPE_KEY),
-                        getString(R.string.INPUT_SHAPE_DEFAULT)), ",");
-        float[] input_mean =
-                Utils.parseFloatsFromString(sharedPreferences.getString(getString(R.string.INPUT_MEAN_KEY),
-                        getString(R.string.INPUT_MEAN_DEFAULT)), ",");
-        float[] input_std =
-                Utils.parseFloatsFromString(sharedPreferences.getString(getString(R.string.INPUT_STD_KEY)
-                        , getString(R.string.INPUT_STD_DEFAULT)), ",");
-        settingsChanged |= input_shape.length != inputShape.length;
-        settingsChanged |= input_mean.length != inputMean.length;
-        settingsChanged |= input_std.length != inputStd.length;
-        if (!settingsChanged) {
-            for (int i = 0; i < input_shape.length; i++) {
-                settingsChanged |= input_shape[i] != inputShape[i];
-            }
-            for (int i = 0; i < input_mean.length; i++) {
-                settingsChanged |= input_mean[i] != inputMean[i];
-            }
-            for (int i = 0; i < input_std.length; i++) {
-                settingsChanged |= input_std[i] != inputStd[i];
-            }
-        }
-        float score_threshold =
-                Float.parseFloat(sharedPreferences.getString(getString(R.string.SCORE_THRESHOLD_KEY),
-                        getString(R.string.SCORE_THRESHOLD_DEFAULT)));
-        settingsChanged |= scoreThreshold != score_threshold;
-        if (settingsChanged) {
-            modelPath = model_path;
-            labelPath = label_path;
-            imagePath = image_path;
-            cpuThreadNum = cpu_thread_num;
-            cpuPowerMode = cpu_power_mode;
-            inputColorFormat = input_color_format;
-            inputShape = input_shape;
-            inputMean = input_mean;
-            inputStd = input_std;
-            scoreThreshold = score_threshold;
-            // Update UI
-            tvInputSetting.setText("Model: " + modelPath.substring(modelPath.lastIndexOf("/") + 1) + "\n" + "CPU" +
-                    " Thread Num: " + Integer.toString(cpuThreadNum) + "\n" + "CPU Power Mode: " + cpuPowerMode);
-            tvInputSetting.scrollTo(0, 0);
-            // Reload model if configure has been changed
-            loadModel();
-        }
-    }
-
-    public void loadModel() {
-        pbLoadModel = ProgressDialog.show(this, "", "Loading model...", false, false);
-        sender.sendEmptyMessage(REQUEST_LOAD_MODEL);
-    }
-
-    public void runModel() {
-        pbRunModel = ProgressDialog.show(this, "", "Running model...", false, false);
-        sender.sendEmptyMessage(REQUEST_RUN_MODEL);
-    }
-
-    public boolean onLoadModel() {
-        return predictor.init(MainActivity.this, modelPath, labelPath, cpuThreadNum,
-                cpuPowerMode,
-                inputColorFormat,
-                inputShape, inputMean,
-                inputStd, scoreThreshold);
-    }
-
-    public boolean onRunModel() {
-        return predictor.isLoaded() && predictor.runModel();
-    }
-
-    public void onLoadModelSuccessed() {
-        // Load test image from path and run model
-        try {
-            if (imagePath.isEmpty()) {
-                return;
-            }
-            Bitmap image = null;
-            // Read test image file from custom path if the first character of mode path is '/', otherwise read test
-            // image file from assets
-            if (!imagePath.substring(0, 1).equals("/")) {
-                InputStream imageStream = getAssets().open(imagePath);
-                image = BitmapFactory.decodeStream(imageStream);
-            } else {
-                if (!new File(imagePath).exists()) {
-                    return;
-                }
-                image = BitmapFactory.decodeFile(imagePath);
-            }
-            if (image != null && predictor.isLoaded()) {
-                predictor.setInputImage(image);
-                runModel();
-            }
-        } catch (IOException e) {
-            Toast.makeText(MainActivity.this, "Load image failed!", Toast.LENGTH_SHORT).show();
-            e.printStackTrace();
-        }
-    }
-
-    public void onLoadModelFailed() {
-    }
-
-    public void onRunModelSuccessed() {
-        // Obtain results and update UI
-        tvInferenceTime.setText("Inference time: " + predictor.inferenceTime() + " ms");
-        Bitmap outputImage = predictor.outputImage();
-        if (outputImage != null) {
-            ivInputImage.setImageBitmap(outputImage);
-        }
-        tvOutputResult.setText(predictor.outputResult());
-        tvOutputResult.scrollTo(0, 0);
-    }
-
-    public void onRunModelFailed() {
-    }
-
-    public void onImageChanged(Bitmap image) {
-        // Rerun model if users pick test image from gallery or camera
-        if (image != null && predictor.isLoaded()) {
-            predictor.setInputImage(image);
-            runModel();
-        }
-    }
-
-    public void onSettingsClicked() {
-        startActivity(new Intent(MainActivity.this, SettingsActivity.class));
-    }
-
-    @Override
-    public boolean onCreateOptionsMenu(Menu menu) {
-        MenuInflater inflater = getMenuInflater();
-        inflater.inflate(R.menu.menu_action_options, menu);
-        return true;
-    }
-
-    public boolean onPrepareOptionsMenu(Menu menu) {
-        boolean isLoaded = predictor.isLoaded();
-        menu.findItem(R.id.open_gallery).setEnabled(isLoaded);
-        menu.findItem(R.id.take_photo).setEnabled(isLoaded);
-        return super.onPrepareOptionsMenu(menu);
-    }
-
-    @Override
-    public boolean onOptionsItemSelected(MenuItem item) {
-        switch (item.getItemId()) {
-            case android.R.id.home:
-                finish();
-                break;
-            case R.id.open_gallery:
-                if (requestAllPermissions()) {
-                    openGallery();
-                }
-                break;
-            case R.id.take_photo:
-                if (requestAllPermissions()) {
-                    takePhoto();
-                }
-                break;
-            case R.id.settings:
-                if (requestAllPermissions()) {
-                    // Make sure we have SDCard r&w permissions to load model from SDCard
-                    onSettingsClicked();
-                }
-                break;
-        }
-        return super.onOptionsItemSelected(item);
-    }
-
-    @Override
-    public void onRequestPermissionsResult(int requestCode, @NonNull String[] permissions,
-                                           @NonNull int[] grantResults) {
-        super.onRequestPermissionsResult(requestCode, permissions, grantResults);
-        if (grantResults[0] != PackageManager.PERMISSION_GRANTED || grantResults[1] != PackageManager.PERMISSION_GRANTED) {
-            Toast.makeText(this, "Permission Denied", Toast.LENGTH_SHORT).show();
-        }
-    }
-
-    private boolean requestAllPermissions() {
-        if (ContextCompat.checkSelfPermission(this, Manifest.permission.WRITE_EXTERNAL_STORAGE)
-                != PackageManager.PERMISSION_GRANTED || ContextCompat.checkSelfPermission(this,
-                Manifest.permission.CAMERA)
-                != PackageManager.PERMISSION_GRANTED) {
-            ActivityCompat.requestPermissions(this, new String[]{Manifest.permission.WRITE_EXTERNAL_STORAGE,
-                            Manifest.permission.CAMERA},
-                    0);
-            return false;
-        }
-        return true;
-    }
-
-    private void openGallery() {
-        Intent intent = new Intent(Intent.ACTION_PICK, null);
-        intent.setDataAndType(MediaStore.Images.Media.EXTERNAL_CONTENT_URI, "image/*");
-        startActivityForResult(intent, OPEN_GALLERY_REQUEST_CODE);
-    }
-
-    private void takePhoto() {
-        Intent takePictureIntent = new Intent(MediaStore.ACTION_IMAGE_CAPTURE);
-        // Ensure that there's a camera activity to handle the intent
-        if (takePictureIntent.resolveActivity(getPackageManager()) != null) {
-            // Create the File where the photo should go
-            File photoFile = null;
-            try {
-                photoFile = createImageFile();
-            } catch (IOException ex) {
-                Log.e("MainActitity", ex.getMessage(), ex);
-                Toast.makeText(MainActivity.this,
-                        "Create Camera temp file failed: " + ex.getMessage(), Toast.LENGTH_SHORT).show();
-            }
-            // Continue only if the File was successfully created
-            if (photoFile != null) {
-                Log.i(TAG, "FILEPATH " + getExternalFilesDir("Pictures").getAbsolutePath());
-                Uri photoURI = FileProvider.getUriForFile(this,
-                        "com.baidu.paddle.lite.demo.ocr.fileprovider",
-                        photoFile);
-                currentPhotoPath = photoFile.getAbsolutePath();
-                takePictureIntent.putExtra(MediaStore.EXTRA_OUTPUT, photoURI);
-                startActivityForResult(takePictureIntent, TAKE_PHOTO_REQUEST_CODE);
-                Log.i(TAG, "startActivityForResult finished");
-            }
-        }
-
-    }
-
-    private File createImageFile() throws IOException {
-        // Create an image file name
-        String timeStamp = new SimpleDateFormat("yyyyMMdd_HHmmss").format(new Date());
-        String imageFileName = "JPEG_" + timeStamp + "_";
-        File storageDir = getExternalFilesDir(Environment.DIRECTORY_PICTURES);
-        File image = File.createTempFile(
-                imageFileName,  /* prefix */
-                ".bmp",         /* suffix */
-                storageDir      /* directory */
-        );
-
-        return image;
-    }
-
-    @Override
-    protected void onActivityResult(int requestCode, int resultCode, Intent data) {
-        super.onActivityResult(requestCode, resultCode, data);
-        if (resultCode == RESULT_OK) {
-            switch (requestCode) {
-                case OPEN_GALLERY_REQUEST_CODE:
-                    if (data == null) {
-                        break;
-                    }
-                    try {
-                        ContentResolver resolver = getContentResolver();
-                        Uri uri = data.getData();
-                        Bitmap image = MediaStore.Images.Media.getBitmap(resolver, uri);
-                        String[] proj = {MediaStore.Images.Media.DATA};
-                        Cursor cursor = managedQuery(uri, proj, null, null, null);
-                        cursor.moveToFirst();
-                        onImageChanged(image);
-                    } catch (IOException e) {
-                        Log.e(TAG, e.toString());
-                    }
-                    break;
-                case TAKE_PHOTO_REQUEST_CODE:
-                    if (currentPhotoPath != null) {
-                        ExifInterface exif = null;
-                        try {
-                            exif = new ExifInterface(currentPhotoPath);
-                        } catch (IOException e) {
-                            e.printStackTrace();
-                        }
-                        int orientation = exif.getAttributeInt(ExifInterface.TAG_ORIENTATION,
-                                ExifInterface.ORIENTATION_UNDEFINED);
-                        Log.i(TAG, "rotation " + orientation);
-                        Bitmap image = BitmapFactory.decodeFile(currentPhotoPath);
-                        image = Utils.rotateBitmap(image, orientation);
-                        onImageChanged(image);
-                    } else {
-                        Log.e(TAG, "currentPhotoPath is null");
-                    }
-                    break;
-                default:
-                    break;
-            }
-        }
-    }
-
-    @Override
-    protected void onDestroy() {
-        if (predictor != null) {
-            predictor.releaseModel();
-        }
-        worker.quit();
-        super.onDestroy();
-    }
-}

deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/MiniActivity.java

-package com.baidu.paddle.lite.demo.ocr;
-
-import android.graphics.Bitmap;
-import android.graphics.BitmapFactory;
-import android.os.Build;
-import android.os.Bundle;
-import android.os.Handler;
-import android.os.HandlerThread;
-import android.os.Message;
-import android.util.Log;
-import android.view.View;
-import android.widget.Button;
-import android.widget.ImageView;
-import android.widget.TextView;
-import android.widget.Toast;
-
-import androidx.appcompat.app.AppCompatActivity;
-
-import java.io.IOException;
-import java.io.InputStream;
-
-public class MiniActivity extends AppCompatActivity {
-
-
-    public static final int REQUEST_LOAD_MODEL = 0;
-    public static final int REQUEST_RUN_MODEL = 1;
-    public static final int REQUEST_UNLOAD_MODEL = 2;
-    public static final int RESPONSE_LOAD_MODEL_SUCCESSED = 0;
-    public static final int RESPONSE_LOAD_MODEL_FAILED = 1;
-    public static final int RESPONSE_RUN_MODEL_SUCCESSED = 2;
-    public static final int RESPONSE_RUN_MODEL_FAILED = 3;
-
-    private static final String TAG = "MiniActivity";
-
-    protected Handler receiver = null; // Receive messages from worker thread
-    protected Handler sender = null; // Send command to worker thread
-    protected HandlerThread worker = null; // Worker thread to load&run model
-    protected volatile Predictor predictor = null;
-
-    private String assetModelDirPath = "models/ocr_v1_for_cpu";
-    private String assetlabelFilePath = "labels/ppocr_keys_v1.txt";
-
-    private Button button;
-    private ImageView imageView; // image result
-    private TextView textView; // text result
-
-    @Override
-    protected void onCreate(Bundle savedInstanceState) {
-        super.onCreate(savedInstanceState);
-        setContentView(R.layout.activity_mini);
-
-        Log.i(TAG, "SHOW in Logcat");
-
-        // Prepare the worker thread for mode loading and inference
-        worker = new HandlerThread("Predictor Worker");
-        worker.start();
-        sender = new Handler(worker.getLooper()) {
-            public void handleMessage(Message msg) {
-                switch (msg.what) {
-                    case REQUEST_LOAD_MODEL:
-                        // Load model and reload test image
-                        if (!onLoadModel()) {
-                            runOnUiThread(new Runnable() {
-                                @Override
-                                public void run() {
-                                    Toast.makeText(MiniActivity.this, "Load model failed!", Toast.LENGTH_SHORT).show();
-                                }
-                            });
-                        }
-                        break;
-                    case REQUEST_RUN_MODEL:
-                        // Run model if model is loaded
-                        final boolean isSuccessed = onRunModel();
-                        runOnUiThread(new Runnable() {
-                            @Override
-                            public void run() {
-                                if (isSuccessed){
-                                    onRunModelSuccessed();
-                                }else{
-                                    Toast.makeText(MiniActivity.this, "Run model failed!", Toast.LENGTH_SHORT).show();
-                                }
-                            }
-                        });
-                        break;
-                }
-            }
-        };
-        sender.sendEmptyMessage(REQUEST_LOAD_MODEL); // corresponding to REQUEST_LOAD_MODEL， to call onLoadModel()
-
-        imageView = findViewById(R.id.imageView);
-        textView = findViewById(R.id.sample_text);
-        button = findViewById(R.id.button);
-        button.setOnClickListener(new View.OnClickListener() {
-            @Override
-            public void onClick(View v) {
-                sender.sendEmptyMessage(REQUEST_RUN_MODEL);
-            }
-        });
-
-
-    }
-
-    @Override
-    protected void onDestroy() {
-        onUnloadModel();
-        if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
-            worker.quitSafely();
-        } else {
-            worker.quit();
-        }
-        super.onDestroy();
-    }
-
-    /**
-     * call in onCreate, model init
-     *
-     * @return
-     */
-    private boolean onLoadModel() {
-        if (predictor == null) {
-            predictor = new Predictor();
-        }
-        return predictor.init(this, assetModelDirPath, assetlabelFilePath);
-    }
-
-    /**
-     * init engine
-     * call in onCreate
-     *
-     * @return
-     */
-    private boolean onRunModel() {
-        try {
-            String assetImagePath = "images/5.jpg";
-            InputStream imageStream = getAssets().open(assetImagePath);
-            Bitmap image = BitmapFactory.decodeStream(imageStream);
-            // Input is Bitmap
-            predictor.setInputImage(image);
-            return predictor.isLoaded() && predictor.runModel();
-        } catch (IOException e) {
-            e.printStackTrace();
-            return false;
-        }
-    }
-
-    private void onRunModelSuccessed() {
-        Log.i(TAG, "onRunModelSuccessed");
-        textView.setText(predictor.outputResult);
-        imageView.setImageBitmap(predictor.outputImage);
-    }
-
-    private void onUnloadModel() {
-        if (predictor != null) {
-            predictor.releaseModel();
-        }
-    }
-}

deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/OCRPredictorNative.java

-package com.baidu.paddle.lite.demo.ocr;
-
-import android.graphics.Bitmap;
-import android.util.Log;
-
-import java.util.ArrayList;
-import java.util.concurrent.atomic.AtomicBoolean;
-
-public class OCRPredictorNative {
-
-    private static final AtomicBoolean isSOLoaded = new AtomicBoolean();
-
-    public static void loadLibrary() throws RuntimeException {
-        if (!isSOLoaded.get() && isSOLoaded.compareAndSet(false, true)) {
-            try {
-                System.loadLibrary("Native");
-            } catch (Throwable e) {
-                RuntimeException exception = new RuntimeException(
-                        "Load libNative.so failed, please check it exists in apk file.", e);
-                throw exception;
-            }
-        }
-    }
-
-    private Config config;
-
-    private long nativePointer = 0;
-
-    public OCRPredictorNative(Config config) {
-        this.config = config;
-        loadLibrary();
-        nativePointer = init(config.detModelFilename, config.recModelFilename,
-                config.cpuThreadNum, config.cpuPower);
-        Log.i("OCRPredictorNative", "load success " + nativePointer);
-
-    }
-
-    public void release() {
-        if (nativePointer != 0) {
-            nativePointer = 0;
-            destory(nativePointer);
-        }
-    }
-
-    public ArrayList<OcrResultModel> runImage(float[] inputData, int width, int height, int channels, Bitmap originalImage) {
-        Log.i("OCRPredictorNative", "begin to run image " + inputData.length + " " + width + " " + height);
-        float[] dims = new float[]{1, channels, height, width};
-        float[] rawResults = forward(nativePointer, inputData, dims, originalImage);
-        ArrayList<OcrResultModel> results = postprocess(rawResults);
-        return results;
-    }
-
-    public static class Config {
-        public int cpuThreadNum;
-        public String cpuPower;
-        public String detModelFilename;
-        public String recModelFilename;
-
-    }
-
-    protected native long init(String detModelPath, String recModelPath, int threadNum, String cpuMode);
-
-    protected native float[] forward(long pointer, float[] buf, float[] ddims, Bitmap originalImage);
-
-    protected native void destory(long pointer);
-
-    private ArrayList<OcrResultModel> postprocess(float[] raw) {
-        ArrayList<OcrResultModel> results = new ArrayList<OcrResultModel>();
-        int begin = 0;
-
-        while (begin < raw.length) {
-            int point_num = Math.round(raw[begin]);
-            int word_num = Math.round(raw[begin + 1]);
-            OcrResultModel model = parse(raw, begin + 2, point_num, word_num);
-            begin += 2 + 1 + point_num * 2 + word_num;
-            results.add(model);
-        }
-
-        return results;
-    }
-
-    private OcrResultModel parse(float[] raw, int begin, int pointNum, int wordNum) {
-        int current = begin;
-        OcrResultModel model = new OcrResultModel();
-        model.setConfidence(raw[current]);
-        current++;
-        for (int i = 0; i < pointNum; i++) {
-            model.addPoints(Math.round(raw[current + i * 2]), Math.round(raw[current + i * 2 + 1]));
-        }
-        current += (pointNum * 2);
-        for (int i = 0; i < wordNum; i++) {
-            int index = Math.round(raw[current + i]);
-            model.addWordIndex(index);
-        }
-        Log.i("OCRPredictorNative", "word finished " + wordNum);
-        return model;
-    }
-
-
-}

deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/OcrResultModel.java

-package com.baidu.paddle.lite.demo.ocr;
-
-import android.graphics.Point;
-
-import java.util.ArrayList;
-import java.util.List;
-
-public class OcrResultModel {
-    private List<Point> points;
-    private List<Integer> wordIndex;
-    private String label;
-    private float confidence;
-
-    public OcrResultModel() {
-        super();
-        points = new ArrayList<>();
-        wordIndex = new ArrayList<>();
-    }
-
-    public void addPoints(int x, int y) {
-        Point point = new Point(x, y);
-        points.add(point);
-    }
-
-    public void addWordIndex(int index) {
-        wordIndex.add(index);
-    }
-
-    public List<Point> getPoints() {
-        return points;
-    }
-
-    public List<Integer> getWordIndex() {
-        return wordIndex;
-    }
-
-    public String getLabel() {
-        return label;
-    }
-
-    public void setLabel(String label) {
-        this.label = label;
-    }
-
-    public float getConfidence() {
-        return confidence;
-    }
-
-    public void setConfidence(float confidence) {
-        this.confidence = confidence;
-    }
-}

deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Predictor.java

-package com.baidu.paddle.lite.demo.ocr;
-
-import android.content.Context;
-import android.graphics.Bitmap;
-import android.graphics.Canvas;
-import android.graphics.Color;
-import android.graphics.Paint;
-import android.graphics.Path;
-import android.graphics.Point;
-import android.util.Log;
-
-import java.io.File;
-import java.io.InputStream;
-import java.util.ArrayList;
-import java.util.Date;
-import java.util.List;
-import java.util.Vector;
-
-import static android.graphics.Color.*;
-
-public class Predictor {
-    private static final String TAG = Predictor.class.getSimpleName();
-    public boolean isLoaded = false;
-    public int warmupIterNum = 1;
-    public int inferIterNum = 1;
-    public int cpuThreadNum = 4;
-    public String cpuPowerMode = "LITE_POWER_HIGH";
-    public String modelPath = "";
-    public String modelName = "";
-    protected OCRPredictorNative paddlePredictor = null;
-    protected float inferenceTime = 0;
-    // Only for object detection
-    protected Vector<String> wordLabels = new Vector<String>();
-    protected String inputColorFormat = "BGR";
-    protected long[] inputShape = new long[]{1, 3, 960};
-    protected float[] inputMean = new float[]{0.485f, 0.456f, 0.406f};
-    protected float[] inputStd = new float[]{1.0f / 0.229f, 1.0f / 0.224f, 1.0f / 0.225f};
-    protected float scoreThreshold = 0.1f;
-    protected Bitmap inputImage = null;
-    protected Bitmap outputImage = null;
-    protected volatile String outputResult = "";
-    protected float preprocessTime = 0;
-    protected float postprocessTime = 0;
-
-
-    public Predictor() {
-    }
-
-    public boolean init(Context appCtx, String modelPath, String labelPath) {
-        isLoaded = loadModel(appCtx, modelPath, cpuThreadNum, cpuPowerMode);
-        if (!isLoaded) {
-            return false;
-        }
-        isLoaded = loadLabel(appCtx, labelPath);
-        return isLoaded;
-    }
-
-
-    public boolean init(Context appCtx, String modelPath, String labelPath, int cpuThreadNum, String cpuPowerMode,
-                        String inputColorFormat,
-                        long[] inputShape, float[] inputMean,
-                        float[] inputStd, float scoreThreshold) {
-        if (inputShape.length != 3) {
-            Log.e(TAG, "Size of input shape should be: 3");
-            return false;
-        }
-        if (inputMean.length != inputShape[1]) {
-            Log.e(TAG, "Size of input mean should be: " + Long.toString(inputShape[1]));
-            return false;
-        }
-        if (inputStd.length != inputShape[1]) {
-            Log.e(TAG, "Size of input std should be: " + Long.toString(inputShape[1]));
-            return false;
-        }
-        if (inputShape[0] != 1) {
-            Log.e(TAG, "Only one batch is supported in the image classification demo, you can use any batch size in " +
-                    "your Apps!");
-            return false;
-        }
-        if (inputShape[1] != 1 && inputShape[1] != 3) {
-            Log.e(TAG, "Only one/three channels are supported in the image classification demo, you can use any " +
-                    "channel size in your Apps!");
-            return false;
-        }
-        if (!inputColorFormat.equalsIgnoreCase("BGR")) {
-            Log.e(TAG, "Only  BGR color format is supported.");
-            return false;
-        }
-        boolean isLoaded = init(appCtx, modelPath, labelPath);
-        if (!isLoaded) {
-            return false;
-        }
-        this.inputColorFormat = inputColorFormat;
-        this.inputShape = inputShape;
-        this.inputMean = inputMean;
-        this.inputStd = inputStd;
-        this.scoreThreshold = scoreThreshold;
-        return true;
-    }
-
-    protected boolean loadModel(Context appCtx, String modelPath, int cpuThreadNum, String cpuPowerMode) {
-        // Release model if exists
-        releaseModel();
-
-        // Load model
-        if (modelPath.isEmpty()) {
-            return false;
-        }
-        String realPath = modelPath;
-        if (!modelPath.substring(0, 1).equals("/")) {
-            // Read model files from custom path if the first character of mode path is '/'
-            // otherwise copy model to cache from assets
-            realPath = appCtx.getCacheDir() + "/" + modelPath;
-            Utils.copyDirectoryFromAssets(appCtx, modelPath, realPath);
-        }
-        if (realPath.isEmpty()) {
-            return false;
-        }
-
-        OCRPredictorNative.Config config = new OCRPredictorNative.Config();
-        config.cpuThreadNum = cpuThreadNum;
-        config.detModelFilename = realPath + File.separator + "ch_det_mv3_db_opt.nb";
-        config.recModelFilename = realPath + File.separator + "ch_rec_mv3_crnn_opt.nb";
-        Log.e("Predictor", "model path" + config.detModelFilename + " ; " + config.recModelFilename);
-        config.cpuPower = cpuPowerMode;
-        paddlePredictor = new OCRPredictorNative(config);
-
-        this.cpuThreadNum = cpuThreadNum;
-        this.cpuPowerMode = cpuPowerMode;
-        this.modelPath = realPath;
-        this.modelName = realPath.substring(realPath.lastIndexOf("/") + 1);
-        return true;
-    }
-
-    public void releaseModel() {
-        if (paddlePredictor != null) {
-            paddlePredictor.release();
-            paddlePredictor = null;
-        }
-        isLoaded = false;
-        cpuThreadNum = 1;
-        cpuPowerMode = "LITE_POWER_HIGH";
-        modelPath = "";
-        modelName = "";
-    }
-
-    protected boolean loadLabel(Context appCtx, String labelPath) {
-        wordLabels.clear();
-        // Load word labels from file
-        try {
-            InputStream assetsInputStream = appCtx.getAssets().open(labelPath);
-            int available = assetsInputStream.available();
-            byte[] lines = new byte[available];
-            assetsInputStream.read(lines);
-            assetsInputStream.close();
-            String words = new String(lines);
-            String[] contents = words.split("\n");
-            for (String content : contents) {
-                wordLabels.add(content);
-            }
-            Log.i(TAG, "Word label size: " + wordLabels.size());
-        } catch (Exception e) {
-            Log.e(TAG, e.getMessage());
-            return false;
-        }
-        return true;
-    }
-
-
-    public boolean runModel() {
-        if (inputImage == null || !isLoaded()) {
-            return false;
-        }
-
-        // Pre-process image, and feed input tensor with pre-processed data
-
-        Bitmap scaleImage = Utils.resizeWithStep(inputImage, Long.valueOf(inputShape[2]).intValue(), 32);
-
-        Date start = new Date();
-        int channels = (int) inputShape[1];
-        int width = scaleImage.getWidth();
-        int height = scaleImage.getHeight();
-        float[] inputData = new float[channels * width * height];
-        if (channels == 3) {
-            int[] channelIdx = null;
-            if (inputColorFormat.equalsIgnoreCase("RGB")) {
-                channelIdx = new int[]{0, 1, 2};
-            } else if (inputColorFormat.equalsIgnoreCase("BGR")) {
-                channelIdx = new int[]{2, 1, 0};
-            } else {
-                Log.i(TAG, "Unknown color format " + inputColorFormat + ", only RGB and BGR color format is " +
-                        "supported!");
-                return false;
-            }
-            int[] channelStride = new int[]{width * height, width * height * 2};
-            int p = scaleImage.getPixel(scaleImage.getWidth() - 1, scaleImage.getHeight() - 1);
-            for (int y = 0; y < height; y++) {
-                for (int x = 0; x < width; x++) {
-                    int color = scaleImage.getPixel(x, y);
-                    float[] rgb = new float[]{(float) red(color) / 255.0f, (float) green(color) / 255.0f,
-                            (float) blue(color) / 255.0f};
-                    inputData[y * width + x] = (rgb[channelIdx[0]] - inputMean[0]) / inputStd[0];
-                    inputData[y * width + x + channelStride[0]] = (rgb[channelIdx[1]] - inputMean[1]) / inputStd[1];
-                    inputData[y * width + x + channelStride[1]] = (rgb[channelIdx[2]] - inputMean[2]) / inputStd[2];
-
-                }
-            }
-        } else if (channels == 1) {
-            for (int y = 0; y < height; y++) {
-                for (int x = 0; x < width; x++) {
-                    int color = inputImage.getPixel(x, y);
-                    float gray = (float) (red(color) + green(color) + blue(color)) / 3.0f / 255.0f;
-                    inputData[y * width + x] = (gray - inputMean[0]) / inputStd[0];
-                }
-            }
-        } else {
-            Log.i(TAG, "Unsupported channel size " + Integer.toString(channels) + ",  only channel 1 and 3 is " +
-                    "supported!");
-            return false;
-        }
-        float[] pixels = inputData;
-        Log.i(TAG, "pixels " + pixels[0] + " " + pixels[1] + " " + pixels[2] + " " + pixels[3]
-                + " " + pixels[pixels.length / 2] + " " + pixels[pixels.length / 2 + 1] + " " + pixels[pixels.length - 2] + " " + pixels[pixels.length - 1]);
-        Date end = new Date();
-        preprocessTime = (float) (end.getTime() - start.getTime());
-
-        // Warm up
-        for (int i = 0; i < warmupIterNum; i++) {
-            paddlePredictor.runImage(inputData, width, height, channels, inputImage);
-        }
-        warmupIterNum = 0; // do not need warm
-        // Run inference
-        start = new Date();
-        ArrayList<OcrResultModel> results = paddlePredictor.runImage(inputData, width, height, channels, inputImage);
-        end = new Date();
-        inferenceTime = (end.getTime() - start.getTime()) / (float) inferIterNum;
-
-        results = postprocess(results);
-        Log.i(TAG, "[stat] Preprocess Time: " + preprocessTime
-                + " ; Inference Time: " + inferenceTime + " ;Box Size " + results.size());
-        drawResults(results);
-
-        return true;
-    }
-
-
-    public boolean isLoaded() {
-        return paddlePredictor != null && isLoaded;
-    }
-
-    public String modelPath() {
-        return modelPath;
-    }
-
-    public String modelName() {
-        return modelName;
-    }
-
-    public int cpuThreadNum() {
-        return cpuThreadNum;
-    }
-
-    public String cpuPowerMode() {
-        return cpuPowerMode;
-    }
-
-    public float inferenceTime() {
-        return inferenceTime;
-    }
-
-    public Bitmap inputImage() {
-        return inputImage;
-    }
-
-    public Bitmap outputImage() {
-        return outputImage;
-    }
-
-    public String outputResult() {
-        return outputResult;
-    }
-
-    public float preprocessTime() {
-        return preprocessTime;
-    }
-
-    public float postprocessTime() {
-        return postprocessTime;
-    }
-
-
-    public void setInputImage(Bitmap image) {
-        if (image == null) {
-            return;
-        }
-        this.inputImage = image.copy(Bitmap.Config.ARGB_8888, true);
-    }
-
-    private ArrayList<OcrResultModel> postprocess(ArrayList<OcrResultModel> results) {
-        for (OcrResultModel r : results) {
-            StringBuffer word = new StringBuffer();
-            for (int index : r.getWordIndex()) {
-                if (index >= 0 && index < wordLabels.size()) {
-                    word.append(wordLabels.get(index));
-                } else {
-                    Log.e(TAG, "Word index is not in label list:" + index);
-                    word.append("×");
-                }
-            }
-            r.setLabel(word.toString());
-        }
-        return results;
-    }
-
-    private void drawResults(ArrayList<OcrResultModel> results) {
-        StringBuffer outputResultSb = new StringBuffer("");
-        for (int i = 0; i < results.size(); i++) {
-            OcrResultModel result = results.get(i);
-            StringBuilder sb = new StringBuilder("");
-            sb.append(result.getLabel());
-            sb.append(" ").append(result.getConfidence());
-            sb.append("; Points: ");
-            for (Point p : result.getPoints()) {
-                sb.append("(").append(p.x).append(",").append(p.y).append(") ");
-            }
-            Log.i(TAG, sb.toString()); // show LOG in Logcat panel
-            outputResultSb.append(i + 1).append(": ").append(result.getLabel()).append("\n");
-        }
-        outputResult = outputResultSb.toString();
-        outputImage = inputImage;
-        Canvas canvas = new Canvas(outputImage);
-        Paint paintFillAlpha = new Paint();
-        paintFillAlpha.setStyle(Paint.Style.FILL);
-        paintFillAlpha.setColor(Color.parseColor("#3B85F5"));
-        paintFillAlpha.setAlpha(50);
-
-        Paint paint = new Paint();
-        paint.setColor(Color.parseColor("#3B85F5"));
-        paint.setStrokeWidth(5);
-        paint.setStyle(Paint.Style.STROKE);
-
-        for (OcrResultModel result : results) {
-            Path path = new Path();
-            List<Point> points = result.getPoints();
-            path.moveTo(points.get(0).x, points.get(0).y);
-            for (int i = points.size() - 1; i >= 0; i--) {
-                Point p = points.get(i);
-                path.lineTo(p.x, p.y);
-            }
-            canvas.drawPath(path, paint);
-            canvas.drawPath(path, paintFillAlpha);
-        }
-    }
-
-}

deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/SettingsActivity.java

-package com.baidu.paddle.lite.demo.ocr;
-
-import android.content.SharedPreferences;
-import android.os.Bundle;
-import android.preference.CheckBoxPreference;
-import android.preference.EditTextPreference;
-import android.preference.ListPreference;
-
-import androidx.appcompat.app.ActionBar;
-
-import java.util.ArrayList;
-import java.util.List;
-
-
-public class SettingsActivity extends AppCompatPreferenceActivity implements SharedPreferences.OnSharedPreferenceChangeListener {
-    ListPreference lpChoosePreInstalledModel = null;
-    CheckBoxPreference cbEnableCustomSettings = null;
-    EditTextPreference etModelPath = null;
-    EditTextPreference etLabelPath = null;
-    EditTextPreference etImagePath = null;
-    ListPreference lpCPUThreadNum = null;
-    ListPreference lpCPUPowerMode = null;
-    ListPreference lpInputColorFormat = null;
-    EditTextPreference etInputShape = null;
-    EditTextPreference etInputMean = null;
-    EditTextPreference etInputStd = null;
-    EditTextPreference etScoreThreshold = null;
-
-    List<String> preInstalledModelPaths = null;
-    List<String> preInstalledLabelPaths = null;
-    List<String> preInstalledImagePaths = null;
-    List<String> preInstalledInputShapes = null;
-    List<String> preInstalledCPUThreadNums = null;
-    List<String> preInstalledCPUPowerModes = null;
-    List<String> preInstalledInputColorFormats = null;
-    List<String> preInstalledInputMeans = null;
-    List<String> preInstalledInputStds = null;
-    List<String> preInstalledScoreThresholds = 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<String>();
-        preInstalledLabelPaths = new ArrayList<String>();
-        preInstalledImagePaths = new ArrayList<String>();
-        preInstalledInputShapes = new ArrayList<String>();
-        preInstalledCPUThreadNums = new ArrayList<String>();
-        preInstalledCPUPowerModes = new ArrayList<String>();
-        preInstalledInputColorFormats = new ArrayList<String>();
-        preInstalledInputMeans = new ArrayList<String>();
-        preInstalledInputStds = new ArrayList<String>();
-        preInstalledScoreThresholds = new ArrayList<String>();
-        // Add ssd_mobilenet_v1_pascalvoc_for_cpu
-        preInstalledModelPaths.add(getString(R.string.MODEL_PATH_DEFAULT));
-        preInstalledLabelPaths.add(getString(R.string.LABEL_PATH_DEFAULT));
-        preInstalledImagePaths.add(getString(R.string.IMAGE_PATH_DEFAULT));
-        preInstalledCPUThreadNums.add(getString(R.string.CPU_THREAD_NUM_DEFAULT));
-        preInstalledCPUPowerModes.add(getString(R.string.CPU_POWER_MODE_DEFAULT));
-        preInstalledInputColorFormats.add(getString(R.string.INPUT_COLOR_FORMAT_DEFAULT));
-        preInstalledInputShapes.add(getString(R.string.INPUT_SHAPE_DEFAULT));
-        preInstalledInputMeans.add(getString(R.string.INPUT_MEAN_DEFAULT));
-        preInstalledInputStds.add(getString(R.string.INPUT_STD_DEFAULT));
-        preInstalledScoreThresholds.add(getString(R.string.SCORE_THRESHOLD_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()]));
-        cbEnableCustomSettings =
-                (CheckBoxPreference) findPreference(getString(R.string.ENABLE_CUSTOM_SETTINGS_KEY));
-        etModelPath = (EditTextPreference) findPreference(getString(R.string.MODEL_PATH_KEY));
-        etModelPath.setTitle("Model Path (SDCard: " + Utils.getSDCardDirectory() + ")");
-        etLabelPath = (EditTextPreference) findPreference(getString(R.string.LABEL_PATH_KEY));
-        etImagePath = (EditTextPreference) findPreference(getString(R.string.IMAGE_PATH_KEY));
-        lpCPUThreadNum =
-                (ListPreference) findPreference(getString(R.string.CPU_THREAD_NUM_KEY));
-        lpCPUPowerMode =
-                (ListPreference) findPreference(getString(R.string.CPU_POWER_MODE_KEY));
-        lpInputColorFormat =
-                (ListPreference) findPreference(getString(R.string.INPUT_COLOR_FORMAT_KEY));
-        etInputShape = (EditTextPreference) findPreference(getString(R.string.INPUT_SHAPE_KEY));
-        etInputMean = (EditTextPreference) findPreference(getString(R.string.INPUT_MEAN_KEY));
-        etInputStd = (EditTextPreference) findPreference(getString(R.string.INPUT_STD_KEY));
-        etScoreThreshold = (EditTextPreference) findPreference(getString(R.string.SCORE_THRESHOLD_KEY));
-    }
-
-    private void reloadPreferenceAndUpdateUI() {
-        SharedPreferences sharedPreferences = getPreferenceScreen().getSharedPreferences();
-        boolean enableCustomSettings =
-                sharedPreferences.getBoolean(getString(R.string.ENABLE_CUSTOM_SETTINGS_KEY), false);
-        String modelPath = sharedPreferences.getString(getString(R.string.CHOOSE_PRE_INSTALLED_MODEL_KEY),
-                getString(R.string.MODEL_PATH_DEFAULT));
-        int modelIdx = lpChoosePreInstalledModel.findIndexOfValue(modelPath);
-        if (modelIdx >= 0 && modelIdx < preInstalledModelPaths.size()) {
-            if (!enableCustomSettings) {
-                SharedPreferences.Editor editor = sharedPreferences.edit();
-                editor.putString(getString(R.string.MODEL_PATH_KEY), preInstalledModelPaths.get(modelIdx));
-                editor.putString(getString(R.string.LABEL_PATH_KEY), preInstalledLabelPaths.get(modelIdx));
-                editor.putString(getString(R.string.IMAGE_PATH_KEY), preInstalledImagePaths.get(modelIdx));
-                editor.putString(getString(R.string.CPU_THREAD_NUM_KEY), preInstalledCPUThreadNums.get(modelIdx));
-                editor.putString(getString(R.string.CPU_POWER_MODE_KEY), preInstalledCPUPowerModes.get(modelIdx));
-                editor.putString(getString(R.string.INPUT_COLOR_FORMAT_KEY),
-                        preInstalledInputColorFormats.get(modelIdx));
-                editor.putString(getString(R.string.INPUT_SHAPE_KEY), preInstalledInputShapes.get(modelIdx));
-                editor.putString(getString(R.string.INPUT_MEAN_KEY), preInstalledInputMeans.get(modelIdx));
-                editor.putString(getString(R.string.INPUT_STD_KEY), preInstalledInputStds.get(modelIdx));
-                editor.putString(getString(R.string.SCORE_THRESHOLD_KEY),
-                        preInstalledScoreThresholds.get(modelIdx));
-                editor.commit();
-            }
-            lpChoosePreInstalledModel.setSummary(modelPath);
-        }
-        cbEnableCustomSettings.setChecked(enableCustomSettings);
-        etModelPath.setEnabled(enableCustomSettings);
-        etLabelPath.setEnabled(enableCustomSettings);
-        etImagePath.setEnabled(enableCustomSettings);
-        lpCPUThreadNum.setEnabled(enableCustomSettings);
-        lpCPUPowerMode.setEnabled(enableCustomSettings);
-        lpInputColorFormat.setEnabled(enableCustomSettings);
-        etInputShape.setEnabled(enableCustomSettings);
-        etInputMean.setEnabled(enableCustomSettings);
-        etInputStd.setEnabled(enableCustomSettings);
-        etScoreThreshold.setEnabled(enableCustomSettings);
-        modelPath = sharedPreferences.getString(getString(R.string.MODEL_PATH_KEY),
-                getString(R.string.MODEL_PATH_DEFAULT));
-        String labelPath = sharedPreferences.getString(getString(R.string.LABEL_PATH_KEY),
-                getString(R.string.LABEL_PATH_DEFAULT));
-        String imagePath = sharedPreferences.getString(getString(R.string.IMAGE_PATH_KEY),
-                getString(R.string.IMAGE_PATH_DEFAULT));
-        String cpuThreadNum = sharedPreferences.getString(getString(R.string.CPU_THREAD_NUM_KEY),
-                getString(R.string.CPU_THREAD_NUM_DEFAULT));
-        String cpuPowerMode = sharedPreferences.getString(getString(R.string.CPU_POWER_MODE_KEY),
-                getString(R.string.CPU_POWER_MODE_DEFAULT));
-        String inputColorFormat = sharedPreferences.getString(getString(R.string.INPUT_COLOR_FORMAT_KEY),
-                getString(R.string.INPUT_COLOR_FORMAT_DEFAULT));
-        String inputShape = sharedPreferences.getString(getString(R.string.INPUT_SHAPE_KEY),
-                getString(R.string.INPUT_SHAPE_DEFAULT));
-        String inputMean = sharedPreferences.getString(getString(R.string.INPUT_MEAN_KEY),
-                getString(R.string.INPUT_MEAN_DEFAULT));
-        String inputStd = sharedPreferences.getString(getString(R.string.INPUT_STD_KEY),
-                getString(R.string.INPUT_STD_DEFAULT));
-        String scoreThreshold = sharedPreferences.getString(getString(R.string.SCORE_THRESHOLD_KEY),
-                getString(R.string.SCORE_THRESHOLD_DEFAULT));
-        etModelPath.setSummary(modelPath);
-        etModelPath.setText(modelPath);
-        etLabelPath.setSummary(labelPath);
-        etLabelPath.setText(labelPath);
-        etImagePath.setSummary(imagePath);
-        etImagePath.setText(imagePath);
-        lpCPUThreadNum.setValue(cpuThreadNum);
-        lpCPUThreadNum.setSummary(cpuThreadNum);
-        lpCPUPowerMode.setValue(cpuPowerMode);
-        lpCPUPowerMode.setSummary(cpuPowerMode);
-        lpInputColorFormat.setValue(inputColorFormat);
-        lpInputColorFormat.setSummary(inputColorFormat);
-        etInputShape.setSummary(inputShape);
-        etInputShape.setText(inputShape);
-        etInputMean.setSummary(inputMean);
-        etInputMean.setText(inputMean);
-        etInputStd.setSummary(inputStd);
-        etInputStd.setText(inputStd);
-        etScoreThreshold.setText(scoreThreshold);
-        etScoreThreshold.setSummary(scoreThreshold);
-    }
-
-    @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) {
-        if (key.equals(getString(R.string.CHOOSE_PRE_INSTALLED_MODEL_KEY))) {
-            SharedPreferences.Editor editor = sharedPreferences.edit();
-            editor.putBoolean(getString(R.string.ENABLE_CUSTOM_SETTINGS_KEY), false);
-            editor.commit();
-        }
-        reloadPreferenceAndUpdateUI();
-    }
-}

deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Utils.java

-package com.baidu.paddle.lite.demo.ocr;
-
-import android.content.Context;
-import android.graphics.Bitmap;
-import android.graphics.Matrix;
-import android.media.ExifInterface;
-import android.os.Environment;
-
-import java.io.*;
-
-public class Utils {
-    private static final String TAG = Utils.class.getSimpleName();
-
-    public static void copyFileFromAssets(Context appCtx, String srcPath, String dstPath) {
-        if (srcPath.isEmpty() || dstPath.isEmpty()) {
-            return;
-        }
-        InputStream is = null;
-        OutputStream os = null;
-        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 boolean isSupportedNPU() {
-        return false;
-        // String hardware = android.os.Build.HARDWARE;
-        // return hardware.equalsIgnoreCase("kirin810") || hardware.equalsIgnoreCase("kirin990");
-    }
-
-    public static Bitmap resizeWithStep(Bitmap bitmap, int maxLength, int step) {
-        int width = bitmap.getWidth();
-        int height = bitmap.getHeight();
-        int maxWH = Math.max(width, height);
-        float ratio = 1;
-        int newWidth = width;
-        int newHeight = height;
-        if (maxWH > maxLength) {
-            ratio = maxLength * 1.0f / maxWH;
-            newWidth = (int) Math.floor(ratio * width);
-            newHeight = (int) Math.floor(ratio * height);
-        }
-
-        newWidth = newWidth - newWidth % step;
-        if (newWidth == 0) {
-            newWidth = step;
-        }
-        newHeight = newHeight - newHeight % step;
-        if (newHeight == 0) {
-            newHeight = step;
-        }
-        return Bitmap.createScaledBitmap(bitmap, newWidth, newHeight, true);
-    }
-
-    public static Bitmap rotateBitmap(Bitmap bitmap, int orientation) {
-
-        Matrix matrix = new Matrix();
-        switch (orientation) {
-            case ExifInterface.ORIENTATION_NORMAL:
-                return bitmap;
-            case ExifInterface.ORIENTATION_FLIP_HORIZONTAL:
-                matrix.setScale(-1, 1);
-                break;
-            case ExifInterface.ORIENTATION_ROTATE_180:
-                matrix.setRotate(180);
-                break;
-            case ExifInterface.ORIENTATION_FLIP_VERTICAL:
-                matrix.setRotate(180);
-                matrix.postScale(-1, 1);
-                break;
-            case ExifInterface.ORIENTATION_TRANSPOSE:
-                matrix.setRotate(90);
-                matrix.postScale(-1, 1);
-                break;
-            case ExifInterface.ORIENTATION_ROTATE_90:
-                matrix.setRotate(90);
-                break;
-            case ExifInterface.ORIENTATION_TRANSVERSE:
-                matrix.setRotate(-90);
-                matrix.postScale(-1, 1);
-                break;
-            case ExifInterface.ORIENTATION_ROTATE_270:
-                matrix.setRotate(-90);
-                break;
-            default:
-                return bitmap;
-        }
-        try {
-            Bitmap bmRotated = Bitmap.createBitmap(bitmap, 0, 0, bitmap.getWidth(), bitmap.getHeight(), matrix, true);
-            bitmap.recycle();
-            return bmRotated;
-        }
-        catch (OutOfMemoryError e) {
-            e.printStackTrace();
-            return null;
-        }
-    }
-}

deploy/android_demo/app/src/main/res/drawable-v24/ic_launcher_foreground.xml

-<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/android_demo/app/src/main/res/drawable/ic_launcher_background.xml

-<?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/android_demo/app/src/main/res/layout/activity_main.xml

-<?xml version="1.0" encoding="utf-8"?>
-<androidx.constraintlayout.widget.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"
-                                             tools:context=".MainActivity">
-
-    <RelativeLayout
-            android:layout_width="match_parent"
-            android:layout_height="match_parent">
-
-        <LinearLayout
-                android:id="@+id/v_input_info"
-                android:layout_width="fill_parent"
-                android:layout_height="wrap_content"
-                android:layout_alignParentTop="true"
-                android:orientation="vertical">
-            <TextView
-                    android:id="@+id/tv_input_setting"
-                    android:layout_width="wrap_content"
-                    android:layout_height="wrap_content"
-                    android:scrollbars="vertical"
-                    android:layout_marginLeft="12dp"
-                    android:layout_marginRight="12dp"
-                    android:layout_marginTop="10dp"
-                    android:layout_marginBottom="5dp"
-                    android:lineSpacingExtra="4dp"
-                    android:singleLine="false"
-                    android:maxLines="6"
-                    android:text=""/>
-
-        </LinearLayout>
-
-        <RelativeLayout
-                android:layout_width="match_parent"
-                android:layout_height="match_parent"
-                android:layout_above="@+id/v_output_info"
-                android:layout_below="@+id/v_input_info">
-
-            <ImageView
-                    android:id="@+id/iv_input_image"
-                    android:layout_width="400dp"
-                    android:layout_height="400dp"
-                    android:layout_centerHorizontal="true"
-                    android:layout_centerVertical="true"
-                    android:layout_marginLeft="12dp"
-                    android:layout_marginRight="12dp"
-                    android:layout_marginTop="5dp"
-                    android:layout_marginBottom="5dp"
-                    android:adjustViewBounds="true"
-                    android:scaleType="fitCenter"/>
-        </RelativeLayout>
-
-
-        <RelativeLayout
-                android:id="@+id/v_output_info"
-                android:layout_width="wrap_content"
-                android:layout_height="wrap_content"
-                android:layout_alignParentBottom="true"
-                android:layout_centerHorizontal="true">
-
-            <TextView
-                    android:id="@+id/tv_output_result"
-                    android:layout_width="wrap_content"
-                    android:layout_height="wrap_content"
-                    android:layout_alignParentTop="true"
-                    android:layout_centerHorizontal="true"
-                    android:layout_centerVertical="true"
-                    android:scrollbars="vertical"
-                    android:layout_marginLeft="12dp"
-                    android:layout_marginRight="12dp"
-                    android:layout_marginTop="5dp"
-                    android:layout_marginBottom="5dp"
-                    android:textAlignment="center"
-                    android:lineSpacingExtra="5dp"
-                    android:singleLine="false"
-                    android:maxLines="5"
-                    android:text=""/>
-
-            <TextView
-                    android:id="@+id/tv_inference_time"
-                    android:layout_width="wrap_content"
-                    android:layout_height="wrap_content"
-                    android:layout_below="@+id/tv_output_result"
-                    android:layout_centerHorizontal="true"
-                    android:layout_centerVertical="true"
-                    android:textAlignment="center"
-                    android:layout_marginLeft="12dp"
-                    android:layout_marginRight="12dp"
-                    android:layout_marginTop="5dp"
-                    android:layout_marginBottom="10dp"
-                    android:text=""/>
-
-        </RelativeLayout>
-
-    </RelativeLayout>
-
-</androidx.constraintlayout.widget.ConstraintLayout>
\ No newline at end of file

deploy/android_demo/app/src/main/res/layout/activity_mini.xml

-<?xml version="1.0" encoding="utf-8"?>
-<!-- for MiniActivity Use Only -->
-<androidx.constraintlayout.widget.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"
-    app:layout_constraintLeft_toLeftOf="parent"
-    app:layout_constraintLeft_toRightOf="parent"
-    tools:context=".MainActivity">
-
-    <TextView
-        android:id="@+id/sample_text"
-        android:layout_width="0dp"
-        android:layout_height="wrap_content"
-        android:text="Hello World!"
-        app:layout_constraintLeft_toLeftOf="parent"
-        app:layout_constraintRight_toRightOf="parent"
-        app:layout_constraintTop_toBottomOf="@id/imageView"
-        android:scrollbars="vertical"
-        />
-
-    <ImageView
-        android:id="@+id/imageView"
-        android:layout_width="wrap_content"
-        android:layout_height="wrap_content"
-        android:paddingTop="20dp"
-        android:paddingBottom="20dp"
-        app:layout_constraintBottom_toTopOf="@id/imageView"
-        app:layout_constraintLeft_toLeftOf="parent"
-        app:layout_constraintRight_toRightOf="parent"
-        app:layout_constraintTop_toTopOf="parent"
-        tools:srcCompat="@tools:sample/avatars" />
-
-    <Button
-        android:id="@+id/button"
-        android:layout_width="wrap_content"
-        android:layout_height="wrap_content"
-        android:layout_marginBottom="4dp"
-        android:text="Button"
-        app:layout_constraintBottom_toBottomOf="parent"
-        app:layout_constraintLeft_toLeftOf="parent"
-        app:layout_constraintRight_toRightOf="parent"
-        tools:layout_editor_absoluteX="161dp" />
-
-</androidx.constraintlayout.widget.ConstraintLayout>
\ No newline at end of file

deploy/android_demo/app/src/main/res/menu/menu_action_options.xml

-<menu xmlns:android="http://schemas.android.com/apk/res/android"
-      xmlns:app="http://schemas.android.com/apk/res-auto">
-    <group android:id="@+id/pick_image">
-        <item
-                android:id="@+id/open_gallery"
-                android:title="Open Gallery"
-                app:showAsAction="withText"/>
-
-        <item
-                android:id="@+id/take_photo"
-                android:title="Take Photo"
-                app:showAsAction="withText"/>
-    </group>
-
-    <group>
-        <item
-                android:id="@+id/settings"
-                android:title="Settings..."
-                app:showAsAction="withText"/>
-    </group>
-</menu>

deploy/android_demo/app/src/main/res/mipmap-anydpi-v26/ic_launcher.xml

-<?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/android_demo/app/src/main/res/mipmap-anydpi-v26/ic_launcher_round.xml

-<?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/android_demo/app/src/main/res/values/arrays.xml

-<?xml version="1.0" encoding="utf-8"?>
-<resources>
-    <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_color_format_entries">
-        <item>BGR color format</item>
-        <item>RGB color format</item>
-    </string-array>
-    <string-array name="input_color_format_values">
-        <item>BGR</item>
-        <item>RGB</item>
-    </string-array>
-</resources>
\ No newline at end of file

deploy/android_demo/app/src/main/res/values/colors.xml

-<?xml version="1.0" encoding="utf-8"?>
-<resources>
-    <color name="colorPrimary">#008577</color>
-    <color name="colorPrimaryDark">#00574B</color>
-    <color name="colorAccent">#D81B60</color>
-</resources>

deploy/android_demo/app/src/main/res/values/strings.xml

-<resources>
-    <string name="app_name">OCR Chinese</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="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_COLOR_FORMAT_KEY">INPUT_COLOR_FORMAT_KEY</string>
-    <string name="INPUT_SHAPE_KEY">INPUT_SHAPE_KEY</string>
-    <string name="INPUT_MEAN_KEY">INPUT_MEAN_KEY</string>
-    <string name="INPUT_STD_KEY">INPUT_STD_KEY</string>
-    <string name="SCORE_THRESHOLD_KEY">SCORE_THRESHOLD_KEY</string>
-    <string name="MODEL_PATH_DEFAULT">models/ocr_v1_for_cpu</string>
-    <string name="LABEL_PATH_DEFAULT">labels/ppocr_keys_v1.txt</string>
-    <string name="IMAGE_PATH_DEFAULT">images/5.jpg</string>
-    <string name="CPU_THREAD_NUM_DEFAULT">4</string>
-    <string name="CPU_POWER_MODE_DEFAULT">LITE_POWER_HIGH</string>
-    <string name="INPUT_COLOR_FORMAT_DEFAULT">BGR</string>
-    <string name="INPUT_SHAPE_DEFAULT">1,3,960</string>
-    <string name="INPUT_MEAN_DEFAULT">0.485, 0.456, 0.406</string>
-    <string name="INPUT_STD_DEFAULT">0.229,0.224,0.225</string>
-    <string name="SCORE_THRESHOLD_DEFAULT">0.1</string>
-</resources>
-

deploy/android_demo/app/src/main/res/values/styles.xml

-<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/android_demo/app/src/main/res/xml/file_paths.xml

-<?xml version="1.0" encoding="utf-8"?>
-<paths xmlns:android="http://schemas.android.com/apk/res/android">
-    <external-files-path name="my_images" path="Pictures" />
-</paths>
\ No newline at end of file

deploy/android_demo/app/src/main/res/xml/settings.xml

-<?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" />
-        <CheckBoxPreference
-                android:defaultValue="false"
-                android:key="@string/ENABLE_CUSTOM_SETTINGS_KEY"
-                android:summaryOn="Enable"
-                android:summaryOff="Disable"
-                android:title="Enable custom settings"/>
-        <EditTextPreference
-                android:key="@string/MODEL_PATH_KEY"
-                android:defaultValue="@string/MODEL_PATH_DEFAULT"
-                android:title="Model Path" />
-        <EditTextPreference
-                android:key="@string/LABEL_PATH_KEY"
-                android:defaultValue="@string/LABEL_PATH_DEFAULT"
-                android:title="Label Path" />
-        <EditTextPreference
-                android:key="@string/IMAGE_PATH_KEY"
-                android:defaultValue="@string/IMAGE_PATH_DEFAULT"
-                android:title="Image Path" />
-    </PreferenceCategory>
-    <PreferenceCategory android:title="CPU Settings">
-        <ListPreference
-                android:defaultValue="@string/CPU_THREAD_NUM_DEFAULT"
-                android:key="@string/CPU_THREAD_NUM_KEY"
-                android:negativeButtonText="@null"
-                android:positiveButtonText="@null"
-                android:title="CPU Thread Num"
-                android:entries="@array/cpu_thread_num_entries"
-                android:entryValues="@array/cpu_thread_num_values"/>
-        <ListPreference
-                android:defaultValue="@string/CPU_POWER_MODE_DEFAULT"
-                android:key="@string/CPU_POWER_MODE_KEY"
-                android:negativeButtonText="@null"
-                android:positiveButtonText="@null"
-                android:title="CPU Power Mode"
-                android:entries="@array/cpu_power_mode_entries"
-                android:entryValues="@array/cpu_power_mode_values"/>
-    </PreferenceCategory>
-    <PreferenceCategory android:title="Input Settings">
-        <ListPreference
-                android:defaultValue="@string/INPUT_COLOR_FORMAT_DEFAULT"
-                android:key="@string/INPUT_COLOR_FORMAT_KEY"
-                android:negativeButtonText="@null"
-                android:positiveButtonText="@null"
-                android:title="Input Color Format: BGR or RGB"
-                android:entries="@array/input_color_format_entries"
-                android:entryValues="@array/input_color_format_values"/>
-        <EditTextPreference
-                android:key="@string/INPUT_SHAPE_KEY"
-                android:defaultValue="@string/INPUT_SHAPE_DEFAULT"
-                android:title="Input Shape: (1,1,max_width_height) or (1,3,max_width_height)" />
-        <EditTextPreference
-                android:key="@string/INPUT_MEAN_KEY"
-                android:defaultValue="@string/INPUT_MEAN_DEFAULT"
-                android:title="Input Mean: (channel/255-mean)/std" />
-        <EditTextPreference
-                android:key="@string/INPUT_STD_KEY"
-                android:defaultValue="@string/INPUT_STD_DEFAULT"
-                android:title="Input Std: (channel/255-mean)/std" />
-    </PreferenceCategory>
-    <PreferenceCategory android:title="Output Settings">
-        <EditTextPreference
-                android:key="@string/SCORE_THRESHOLD_KEY"
-                android:defaultValue="@string/SCORE_THRESHOLD_DEFAULT"
-                android:title="Score Threshold" />
-    </PreferenceCategory>
-</PreferenceScreen>

deploy/android_demo/app/src/test/java/com/baidu/paddle/lite/demo/ocr/ExampleUnitTest.java

-package com.baidu.paddle.lite.demo.ocr;
-
-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/android_demo/build.gradle

-// 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:3.4.0'
-        
-        // 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/android_demo/gradle.properties

-# 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/android_demo/gradle/wrapper/gradle-wrapper.properties

-#Wed Jul 22 23:48:44 CST 2020
-distributionBase=GRADLE_USER_HOME
-distributionPath=wrapper/dists
-zipStoreBase=GRADLE_USER_HOME
-zipStorePath=wrapper/dists
-distributionUrl=https\://services.gradle.org/distributions/gradle-5.1.1-all.zip

deploy/android_demo/gradlew

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

deploy/android_demo/settings.gradle

-include ':app'

deploy/ios_demo/ocr_demo/Assets.xcassets/Contents.json

-{
-  "info" : {
-    "version" : 1,
-    "author" : "xcode"
-  }
-}
\ No newline at end of file