Merge branch 'develop' of https://github.com/PaddlePaddle/PaddleOCR into fixocr

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

+#Thu Aug 22 15:05:37 CST 2019
+distributionBase=GRADLE_USER_HOME
+distributionPath=wrapper/dists
+zipStoreBase=GRADLE_USER_HOME
+zipStorePath=wrapper/dists
+distributionUrl=https\://services.gradle.org/distributions/gradle-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/gradlew.bat

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

deploy/android_demo/settings.gradle

+include ':app'

deploy/cpp_infer/include/ocr_rec.h

@@ -46,6 +46,7 @@ public:
     this->use_mkldnn_ = use_mkldnn;
 
     this->label_list_ = Utility::ReadDict(label_path);
+    this->label_list_.push_back(" ");
 
     LoadModel(model_dir);
   }
@@ -83,4 +84,4 @@ private:
 
 }; // class CrnnRecognizer
 
-} // namespace PaddleOCR
\ No newline at end of file
+} // namespace PaddleOCR

deploy/cpp_infer/readme.md

@@ -184,7 +184,7 @@ make -j
 
 
 ### 运行demo
-* 执行以下命令，完成对一幅图像的OCR识别与检测，最终输出
+* 执行以下命令，完成对一幅图像的OCR识别与检测。
 
 ```shell
 sh tools/run.sh

deploy/cpp_infer/readme_en.md

+# Server-side C++ inference
+
+
+In this tutorial, we will introduce the detailed steps of deploying PaddleOCR ultra-lightweight Chinese detection and recognition models on the server side.
+
+
+## 1. Prepare the environment
+
+### Environment
+
+- Linux, docker is recommended.
+
+
+### 1.1 Compile opencv
+
+* First of all, you need to download the source code compiled package in the Linux environment from the opencv official website. Taking opencv3.4.7 as an example, the download command is as follows.
+
+```
+wget https://github.com/opencv/opencv/archive/3.4.7.tar.gz
+tar -xf 3.4.7.tar.gz
+```
+
+Finally, you can see the folder of `opencv-3.4.7/` in the current directory.
+
+* Compile opencv, the opencv source path (`root_path`) and installation path (`install_path`) should be set by yourself. Enter the opencv source code path and compile it in the following way.
+
+
+```shell
+root_path=your_opencv_root_path
+install_path=${root_path}/opencv3
+
+rm -rf build
+mkdir build
+cd build
+
+cmake .. \
+    -DCMAKE_INSTALL_PREFIX=${install_path} \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DBUILD_SHARED_LIBS=OFF \
+    -DWITH_IPP=OFF \
+    -DBUILD_IPP_IW=OFF \
+    -DWITH_LAPACK=OFF \
+    -DWITH_EIGEN=OFF \
+    -DCMAKE_INSTALL_LIBDIR=lib64 \
+    -DWITH_ZLIB=ON \
+    -DBUILD_ZLIB=ON \
+    -DWITH_JPEG=ON \
+    -DBUILD_JPEG=ON \
+    -DWITH_PNG=ON \
+    -DBUILD_PNG=ON \
+    -DWITH_TIFF=ON \
+    -DBUILD_TIFF=ON
+
+make -j
+make install
+```
+
+Among them, `root_path` is the downloaded opencv source code path, and `install_path` is the installation path of opencv. After `make install` is completed, the opencv header file and library file will be generated in this folder for later OCR source code compilation.
+
+
+
+The final file structure under the opencv installation path is as follows.
+
+```
+opencv3/
+|-- bin
+|-- include
+|-- lib
+|-- lib64
+|-- share
+```
+
+### 1.2 Compile or download or  the Paddle inference library
+
+* There are 2 ways to obtain the Paddle inference library, described in detail below.
+
+
+#### 1.2.1 Compile from the source code
+* If you want to get the latest Paddle inference library features, you can download the latest code from Paddle github repository and compile the inference library from the source code.
+* You can refer to [Paddle inference library] (https://www.paddlepaddle.org.cn/documentation/docs/en/advanced_guide/inference_deployment/inference/build_and_install_lib_en.html) to get the Paddle source code from github, and then compile To generate the latest inference library. The method of using git to access the code is as follows.
+
+
+```shell
+git clone https://github.com/PaddlePaddle/Paddle.git
+```
+
+* After entering the Paddle directory, the compilation method is as follows.
+
+```shell
+rm -rf build
+mkdir build
+cd build
+
+cmake  .. \
+    -DWITH_CONTRIB=OFF \
+    -DWITH_MKL=ON \
+    -DWITH_MKLDNN=ON  \
+    -DWITH_TESTING=OFF \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DWITH_INFERENCE_API_TEST=OFF \
+    -DON_INFER=ON \
+    -DWITH_PYTHON=ON
+make -j
+make inference_lib_dist
+```
+
+For more compilation parameter options, please refer to the official website of the Paddle C++ inference library:[https://www.paddlepaddle.org.cn/documentation/docs/en/advanced_guide/inference_deployment/inference/build_and_install_lib_en.html](https://www.paddlepaddle.org.cn/documentation/docs/en/advanced_guide/inference_deployment/inference/build_and_install_lib_en.html).
+
+
+* After the compilation process, you can see the following files in the folder of `build/fluid_inference_install_dir/`.
+
+```
+build/fluid_inference_install_dir/
+|-- CMakeCache.txt
+|-- paddle
+|-- third_party
+|-- version.txt
+```
+
+Among them, `paddle` is the Paddle library required for C++ prediction later, and `version.txt` contains the version information of the current inference library.
+
+
+
+#### 1.2.2 Direct download and installation
+
+* Different cuda versions of the Linux inference library (based on GCC 4.8.2) are provided on the
+[Paddle inference library official website](https://www.paddlepaddle.org.cn/documentation/docs/en/advanced_guide/inference_deployment/inference/build_and_install_lib_en.html). You can view and select the appropriate version of the inference library on the official website.
+
+
+* After downloading, use the following method to uncompress.
+
+```
+tar -xf fluid_inference.tgz
+```
+
+Finally you can see the following files in the folder of `fluid_inference/`.
+
+
+## 2. Compile and run the demo
+
+### 2.1 Export the inference model
+
+* You can refer to [Model inference](../../doc/doc_ch/inference.md)，export the inference model. After the model is exported, assuming it is placed in the `inference` directory, the directory structure is as follows.
+
+```
+inference/
+|-- det_db
+|   |--model
+|   |--params
+|-- rec_rcnn
+|   |--model
+|   |--params
+```
+
+
+### 2.2 Compile PaddleOCR C++ inference demo
+
+
+* The compilation commands are as follows. The addresses of Paddle C++ inference library, opencv and other Dependencies need to be replaced with the actual addresses on your own machines.
+
+```shell
+sh tools/build.sh
+```
+
+具体地，`tools/build.sh`中内容如下。
+
+```shell
+OPENCV_DIR=your_opencv_dir
+LIB_DIR=your_paddle_inference_dir
+CUDA_LIB_DIR=your_cuda_lib_dir
+CUDNN_LIB_DIR=your_cudnn_lib_dir
+
+BUILD_DIR=build
+rm -rf ${BUILD_DIR}
+mkdir ${BUILD_DIR}
+cd ${BUILD_DIR}
+cmake .. \
+    -DPADDLE_LIB=${LIB_DIR} \
+    -DWITH_MKL=ON \
+    -DDEMO_NAME=ocr_system \
+    -DWITH_GPU=OFF \
+    -DWITH_STATIC_LIB=OFF \
+    -DUSE_TENSORRT=OFF \
+    -DOPENCV_DIR=${OPENCV_DIR} \
+    -DCUDNN_LIB=${CUDNN_LIB_DIR} \
+    -DCUDA_LIB=${CUDA_LIB_DIR} \
+
+make -j
+```
+
+`OPENCV_DIR` is the opencv installation path; `LIB_DIR` is the download (`fluid_inference` folder) or the generated Paddle inference library path (`build/fluid_inference_install_dir` folder); `CUDA_LIB_DIR` is the cuda library file path, in docker; it is `/usr/local/cuda/lib64`; `CUDNN_LIB_DIR` is the cudnn library file path, in docker it is `/usr/lib/x86_64-linux-gnu/`.
+
+
+* After the compilation is completed, an executable file named `ocr_system` will be generated in the `build` folder.
+
+
+### Run the demo
+* Execute the following command to complete the OCR recognition and detection of an image.
+
+```shell
+sh tools/run.sh
+```
+
+The detection results will be shown on the screen, which is as follows.
+
+<div align="center">
+    <img src="../imgs/cpp_infer_pred_12.png" width="600">
+</div>
+
+
+### 2.3 Note
+
+* `MKLDNN` is disabled by default for C++ inference (`use_mkldnn` in `tools/config.txt` is set to 0), if you need to use MKLDNN for inference acceleration, you need to modify `use_mkldnn` to 1, and use the latest version of the Paddle source code to compile the inference library. When using MKLDNN for CPU prediction, if multiple images are predicted at the same time, there will be a memory leak problem (the problem is not present if MKLDNN is disabled). The problem is currently being fixed, and the temporary solution is: when predicting multiple pictures, Re-initialize the recognition (`CRNNRecognizer`) and detection class (`DBDetector`) every 30 pictures or so.

deploy/cpp_infer/src/ocr_det.cpp

@@ -38,6 +38,7 @@ void DBDetector::LoadModel(const std::string &model_dir) {
   config.SwitchIrOptim(true);
 
   config.EnableMemoryOptim();
+  config.DisableGlogInfo();
 
   this->predictor_ = CreatePaddlePredictor(config);
 }
@@ -106,4 +107,4 @@ void DBDetector::Run(cv::Mat &img,
   }
 }
 
-} // namespace PaddleOCR
\ No newline at end of file
+} // namespace PaddleOCR

deploy/cpp_infer/src/ocr_rec.cpp

@@ -127,6 +127,7 @@ void CRNNRecognizer::LoadModel(const std::string &model_dir) {
   config.SwitchIrOptim(true);
 
   config.EnableMemoryOptim();
+  config.DisableGlogInfo();
 
   this->predictor_ = CreatePaddlePredictor(config);
 }
@@ -186,4 +187,4 @@ cv::Mat CRNNRecognizer::GetRotateCropImage(const cv::Mat &srcimage,
   }
 }
 
-} // namespace PaddleOCR
\ No newline at end of file
+} // namespace PaddleOCR

deploy/cpp_infer/src/postprocess_op.cpp

@@ -57,8 +57,12 @@ cv::RotatedRect PostProcessor::UnClip(std::vector<std::vector<float>> box,
       points.emplace_back(soln[j][i].X, soln[j][i].Y);
     }
   }
-  cv::RotatedRect res = cv::minAreaRect(points);
-
+  cv::RotatedRect res;
+  if (points.size() <= 0) {
+    res = cv::RotatedRect(cv::Point2f(0, 0), cv::Size2f(1, 1), 0);
+  } else {
+    res = cv::minAreaRect(points);
+  }
   return res;
 }
 
@@ -215,6 +219,9 @@ PostProcessor::BoxesFromBitmap(const cv::Mat pred, const cv::Mat bitmap,
   std::vector<std::vector<std::vector<int>>> boxes;
 
   for (int _i = 0; _i < num_contours; _i++) {
+    if (contours[_i].size() <= 2) {
+      continue;
+    }
     float ssid;
     cv::RotatedRect box = cv::minAreaRect(contours[_i]);
     auto array = GetMiniBoxes(box, ssid);
@@ -233,6 +240,9 @@ PostProcessor::BoxesFromBitmap(const cv::Mat pred, const cv::Mat bitmap,
 
     // start for unclip
     cv::RotatedRect points = UnClip(box_for_unclip, det_db_unclip_ratio);
+    if (points.size.height < 1.001 && points.size.width < 1.001) {
+      continue;
+    }
     // end for unclip
 
     cv::RotatedRect clipbox = points;

deploy/hubserving/ocr_det/module.py

@@ -31,7 +31,7 @@ from tools.infer.predict_det import TextDetector
     author_email="paddle-dev@baidu.com",
     type="cv/text_recognition")
 class OCRDet(hub.Module):
-    def _initialize(self, use_gpu=False):
+    def _initialize(self, use_gpu=False, enable_mkldnn=False):
         """
         initialize with the necessary elements
         """
@@ -51,6 +51,7 @@ class OCRDet(hub.Module):
                     "Environment Variable CUDA_VISIBLE_DEVICES is not set correctly. If you wanna use gpu, please set CUDA_VISIBLE_DEVICES via export CUDA_VISIBLE_DEVICES=cuda_device_id."
                 )
         cfg.ir_optim = True
+        cfg.enable_mkldnn = enable_mkldnn
 
         self.text_detector = TextDetector(cfg)
 

deploy/hubserving/ocr_rec/module.py

@@ -31,7 +31,7 @@ from tools.infer.predict_rec import TextRecognizer
     author_email="paddle-dev@baidu.com",
     type="cv/text_recognition")
 class OCRRec(hub.Module):
-    def _initialize(self, use_gpu=False):
+    def _initialize(self, use_gpu=False, enable_mkldnn=False):
         """
         initialize with the necessary elements
         """
@@ -51,6 +51,7 @@ class OCRRec(hub.Module):
                     "Environment Variable CUDA_VISIBLE_DEVICES is not set correctly. If you wanna use gpu, please set CUDA_VISIBLE_DEVICES via export CUDA_VISIBLE_DEVICES=cuda_device_id."
                 )
         cfg.ir_optim = True
+        cfg.enable_mkldnn = enable_mkldnn
 
         self.text_recognizer = TextRecognizer(cfg)
 

deploy/hubserving/ocr_system/module.py

@@ -31,7 +31,7 @@ from tools.infer.predict_system import TextSystem
     author_email="paddle-dev@baidu.com",
     type="cv/text_recognition")
 class OCRSystem(hub.Module):
-    def _initialize(self, use_gpu=False):
+    def _initialize(self, use_gpu=False, enable_mkldnn=False):
         """
         initialize with the necessary elements
         """
@@ -51,7 +51,8 @@ class OCRSystem(hub.Module):
                     "Environment Variable CUDA_VISIBLE_DEVICES is not set correctly. If you wanna use gpu, please set CUDA_VISIBLE_DEVICES via export CUDA_VISIBLE_DEVICES=cuda_device_id."
                 )
         cfg.ir_optim = True
-
+        cfg.enable_mkldnn = enable_mkldnn
+        
         self.text_sys = TextSystem(cfg)
 
     def read_images(self, paths=[]):

deploy/ios_demo/download_dependencies.sh

+#!/bin/bash
+set -e
+
+OCR_MODEL_URL="https://paddleocr.bj.bcebos.com/deploy/lite/ocr_v1_for_cpu.tar.gz"
+PADDLE_LITE_LIB_URL="https://paddlelite-demo.bj.bcebos.com/libs/ios/paddle_lite_libs_v2_6_0.tar.gz"
+OPENCV3_FRAMEWORK_URL="https://paddlelite-demo.bj.bcebos.com/libs/ios/opencv3.framework.tar.gz"
+
+download_and_extract() {
+    local url="$1"
+    local dst_dir="$2"
+    local tempdir=$(mktemp -d)
+
+    echo "Downloading ${url} ..."
+    curl -L ${url} > ${tempdir}/temp.tar.gz
+    echo "Download ${url} done "
+
+    if [ ! -d ${dst_dir} ];then
+        mkdir -p ${dst_dir}
+    fi
+
+    echo "Extracting ..."
+    tar -zxvf ${tempdir}/temp.tar.gz -C ${dst_dir}
+    echo "Extract done "
+
+    rm -rf ${tempdir}
+}
+
+echo -e "[Download ios ocr demo denpendancy]\n"
+download_and_extract "${OCR_MODEL_URL}" "./ios-demo/ocr_demo/models"
+download_and_extract "${PADDLE_LITE_LIB_URL}" "./ios-demo/ocr_demo"
+download_and_extract "${OPENCV3_FRAMEWORK_URL}" "./ios-demo/ocr_demo"
+echo -e "[done]\n"

deploy/ios_demo/ocr_demo.xcodeproj/project.pbxproj

+// !$*UTF8*$!
+{
+	archiveVersion = 1;
+	classes = {
+	};
+	objectVersion = 50;
+	objects = {
+
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deploy/ios_demo/ocr_demo/AppDelegate.h

+//
+//  AppDelegate.h
+//  seg_demo
+//
+//  Created by Li,Xiaoyang(SYS) on 2018/11/13.
+//  Copyright © 2018年 Li,Xiaoyang(SYS). All rights reserved.
+//
+
+#import <UIKit/UIKit.h>
+
+@interface AppDelegate : UIResponder <UIApplicationDelegate>
+
+@property (strong, nonatomic) UIWindow *window;
+
+
+@end
+