Unverified Commit 6893d151 authored by Thomas Young's avatar Thomas Young Committed by GitHub
Browse files

Merge pull request #1 from PaddlePaddle/dygraph

Dygraph
parents 32665fe5 58794e06
<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>
<?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
<?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" />
<ListPreference
android:key="@string/IMAGE_PATH_KEY"
android:defaultValue="@string/IMAGE_PATH_DEFAULT"
android:entries="@array/image_name_entries"
android:entryValues="@array/image_name_values"
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>
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
// Top-level build file where you can add configuration options common to all sub-projects/modules.
buildscript {
repositories {
google()
jcenter()
}
dependencies {
classpath 'com.android.tools.build:gradle:4.1.2'
// 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
}
# 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
android.useAndroidX=true
#Thu Feb 04 20:28:08 CST 2021
distributionBase=GRADLE_USER_HOME
distributionPath=wrapper/dists
zipStoreBase=GRADLE_USER_HOME
zipStorePath=wrapper/dists
distributionUrl=https\://services.gradle.org/distributions/gradle-6.5-bin.zip
#!/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" "$@"
@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
...@@ -40,6 +40,7 @@ endif() ...@@ -40,6 +40,7 @@ endif()
if (WIN32) if (WIN32)
include_directories("${PADDLE_LIB}/paddle/fluid/inference") include_directories("${PADDLE_LIB}/paddle/fluid/inference")
include_directories("${PADDLE_LIB}/paddle/include") include_directories("${PADDLE_LIB}/paddle/include")
link_directories("${PADDLE_LIB}/paddle/lib")
link_directories("${PADDLE_LIB}/paddle/fluid/inference") link_directories("${PADDLE_LIB}/paddle/fluid/inference")
find_package(OpenCV REQUIRED PATHS ${OPENCV_DIR}/build/ NO_DEFAULT_PATH) find_package(OpenCV REQUIRED PATHS ${OPENCV_DIR}/build/ NO_DEFAULT_PATH)
...@@ -140,22 +141,22 @@ else() ...@@ -140,22 +141,22 @@ else()
endif () endif ()
endif() endif()
# Note: libpaddle_inference_api.so/a must put before libpaddle_fluid.so/a # Note: libpaddle_inference_api.so/a must put before libpaddle_inference.so/a
if(WITH_STATIC_LIB) if(WITH_STATIC_LIB)
if(WIN32) if(WIN32)
set(DEPS set(DEPS
${PADDLE_LIB}/paddle/lib/paddle_fluid${CMAKE_STATIC_LIBRARY_SUFFIX}) ${PADDLE_LIB}/paddle/lib/paddle_inference${CMAKE_STATIC_LIBRARY_SUFFIX})
else() else()
set(DEPS set(DEPS
${PADDLE_LIB}/paddle/lib/libpaddle_fluid${CMAKE_STATIC_LIBRARY_SUFFIX}) ${PADDLE_LIB}/paddle/lib/libpaddle_inference${CMAKE_STATIC_LIBRARY_SUFFIX})
endif() endif()
else() else()
if(WIN32) if(WIN32)
set(DEPS set(DEPS
${PADDLE_LIB}/paddle/lib/paddle_fluid${CMAKE_SHARED_LIBRARY_SUFFIX}) ${PADDLE_LIB}/paddle/lib/paddle_inference${CMAKE_SHARED_LIBRARY_SUFFIX})
else() else()
set(DEPS set(DEPS
${PADDLE_LIB}/paddle/lib/libpaddle_fluid${CMAKE_SHARED_LIBRARY_SUFFIX}) ${PADDLE_LIB}/paddle/lib/libpaddle_inference${CMAKE_SHARED_LIBRARY_SUFFIX})
endif() endif()
endif(WITH_STATIC_LIB) endif(WITH_STATIC_LIB)
......
...@@ -49,6 +49,8 @@ public: ...@@ -49,6 +49,8 @@ public:
this->det_db_unclip_ratio = stod(config_map_["det_db_unclip_ratio"]); this->det_db_unclip_ratio = stod(config_map_["det_db_unclip_ratio"]);
this->use_polygon_score = bool(stoi(config_map_["use_polygon_score"]));
this->det_model_dir.assign(config_map_["det_model_dir"]); this->det_model_dir.assign(config_map_["det_model_dir"]);
this->rec_model_dir.assign(config_map_["rec_model_dir"]); this->rec_model_dir.assign(config_map_["rec_model_dir"]);
...@@ -86,6 +88,8 @@ public: ...@@ -86,6 +88,8 @@ public:
double det_db_unclip_ratio = 2.0; double det_db_unclip_ratio = 2.0;
bool use_polygon_score = false;
std::string det_model_dir; std::string det_model_dir;
std::string rec_model_dir; std::string rec_model_dir;
......
...@@ -44,7 +44,8 @@ public: ...@@ -44,7 +44,8 @@ public:
const bool &use_mkldnn, const int &max_side_len, const bool &use_mkldnn, const int &max_side_len,
const double &det_db_thresh, const double &det_db_thresh,
const double &det_db_box_thresh, const double &det_db_box_thresh,
const double &det_db_unclip_ratio, const bool &visualize, const double &det_db_unclip_ratio,
const bool &use_polygon_score, const bool &visualize,
const bool &use_tensorrt, const bool &use_fp16) { const bool &use_tensorrt, const bool &use_fp16) {
this->use_gpu_ = use_gpu; this->use_gpu_ = use_gpu;
this->gpu_id_ = gpu_id; this->gpu_id_ = gpu_id;
...@@ -57,6 +58,7 @@ public: ...@@ -57,6 +58,7 @@ public:
this->det_db_thresh_ = det_db_thresh; this->det_db_thresh_ = det_db_thresh;
this->det_db_box_thresh_ = det_db_box_thresh; this->det_db_box_thresh_ = det_db_box_thresh;
this->det_db_unclip_ratio_ = det_db_unclip_ratio; this->det_db_unclip_ratio_ = det_db_unclip_ratio;
this->use_polygon_score_ = use_polygon_score;
this->visualize_ = visualize; this->visualize_ = visualize;
this->use_tensorrt_ = use_tensorrt; this->use_tensorrt_ = use_tensorrt;
...@@ -85,6 +87,7 @@ private: ...@@ -85,6 +87,7 @@ private:
double det_db_thresh_ = 0.3; double det_db_thresh_ = 0.3;
double det_db_box_thresh_ = 0.5; double det_db_box_thresh_ = 0.5;
double det_db_unclip_ratio_ = 2.0; double det_db_unclip_ratio_ = 2.0;
bool use_polygon_score_ = false;
bool visualize_ = true; bool visualize_ = true;
bool use_tensorrt_ = false; bool use_tensorrt_ = false;
......
...@@ -51,10 +51,12 @@ public: ...@@ -51,10 +51,12 @@ public:
float &ssid); float &ssid);
float BoxScoreFast(std::vector<std::vector<float>> box_array, cv::Mat pred); float BoxScoreFast(std::vector<std::vector<float>> box_array, cv::Mat pred);
float PolygonScoreAcc(std::vector<cv::Point> contour, cv::Mat pred);
std::vector<std::vector<std::vector<int>>> std::vector<std::vector<std::vector<int>>>
BoxesFromBitmap(const cv::Mat pred, const cv::Mat bitmap, BoxesFromBitmap(const cv::Mat pred, const cv::Mat bitmap,
const float &box_thresh, const float &det_db_unclip_ratio); const float &box_thresh, const float &det_db_unclip_ratio,
const bool &use_polygon_score);
std::vector<std::vector<std::vector<int>>> std::vector<std::vector<std::vector<int>>>
FilterTagDetRes(std::vector<std::vector<std::vector<int>>> boxes, FilterTagDetRes(std::vector<std::vector<std::vector<int>>> boxes,
......
...@@ -74,9 +74,10 @@ opencv3/ ...@@ -74,9 +74,10 @@ opencv3/
* 有2种方式获取Paddle预测库,下面进行详细介绍。 * 有2种方式获取Paddle预测库,下面进行详细介绍。
#### 1.2.1 直接下载安装 #### 1.2.1 直接下载安装
* [Paddle预测库官网](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/guides/05_inference_deployment/inference/build_and_install_lib_cn.html)上提供了不同cuda版本的Linux预测库,可以在官网查看并选择合适的预测库版本。 * [Paddle预测库官网](https://www.paddlepaddle.org.cn/documentation/docs/zh/advanced_guide/inference_deployment/inference/build_and_install_lib_cn.html)上提供了不同cuda版本的Linux预测库,可以在官网查看并选择合适的预测库版本*建议选择paddle版本>=2.0.1版本的预测库*
* 下载之后使用下面的方法解压。 * 下载之后使用下面的方法解压。
...@@ -130,8 +131,6 @@ build/paddle_inference_install_dir/ ...@@ -130,8 +131,6 @@ build/paddle_inference_install_dir/
其中`paddle`就是C++预测所需的Paddle库,`version.txt`中包含当前预测库的版本信息。 其中`paddle`就是C++预测所需的Paddle库,`version.txt`中包含当前预测库的版本信息。
## 2 开始运行 ## 2 开始运行
### 2.1 将模型导出为inference model ### 2.1 将模型导出为inference model
...@@ -184,7 +183,7 @@ cmake .. \ ...@@ -184,7 +183,7 @@ cmake .. \
make -j make -j
``` ```
`OPENCV_DIR`为opencv编译安装的地址;`LIB_DIR`为下载(`paddle_inference`文件夹)或者编译生成的Paddle预测库地址(`build/paddle_inference_install_dir`文件夹);`CUDA_LIB_DIR`为cuda库文件地址,在docker中`/usr/local/cuda/lib64``CUDNN_LIB_DIR`为cudnn库文件地址,在docker中为`/usr/lib/x86_64-linux-gnu/` `OPENCV_DIR`为opencv编译安装的地址;`LIB_DIR`为下载(`paddle_inference`文件夹)或者编译生成的Paddle预测库地址(`build/paddle_inference_install_dir`文件夹);`CUDA_LIB_DIR`为cuda库文件地址,在docker中为`/usr/local/cuda/lib64``CUDNN_LIB_DIR`为cudnn库文件地址,在docker中为`/usr/lib/x86_64-linux-gnu/`
* 编译完成之后,会在`build`文件夹下生成一个名为`ocr_system`的可执行文件。 * 编译完成之后,会在`build`文件夹下生成一个名为`ocr_system`的可执行文件。
...@@ -212,6 +211,7 @@ max_side_len 960 # 输入图像长宽大于960时,等比例缩放图像,使 ...@@ -212,6 +211,7 @@ max_side_len 960 # 输入图像长宽大于960时,等比例缩放图像,使
det_db_thresh 0.3 # 用于过滤DB预测的二值化图像,设置为0.-0.3对结果影响不明显 det_db_thresh 0.3 # 用于过滤DB预测的二值化图像,设置为0.-0.3对结果影响不明显
det_db_box_thresh 0.5 # DB后处理过滤box的阈值,如果检测存在漏框情况,可酌情减小 det_db_box_thresh 0.5 # DB后处理过滤box的阈值,如果检测存在漏框情况,可酌情减小
det_db_unclip_ratio 1.6 # 表示文本框的紧致程度,越小则文本框更靠近文本 det_db_unclip_ratio 1.6 # 表示文本框的紧致程度,越小则文本框更靠近文本
use_polygon_score 1 # 是否使用多边形框计算bbox score,0表示使用矩形框计算。矩形框计算速度更快,多边形框对弯曲文本区域计算更准确。
det_model_dir ./inference/det_db # 检测模型inference model地址 det_model_dir ./inference/det_db # 检测模型inference model地址
# cls config # cls config
...@@ -232,7 +232,7 @@ visualize 1 # 是否对结果进行可视化,为1时,会在当前文件夹 ...@@ -232,7 +232,7 @@ visualize 1 # 是否对结果进行可视化,为1时,会在当前文件夹
最终屏幕上会输出检测结果如下。 最终屏幕上会输出检测结果如下。
<div align="center"> <div align="center">
<img src="../imgs/cpp_infer_pred_12.png" width="600"> <img src="./imgs/cpp_infer_pred_12.png" width="600">
</div> </div>
......
...@@ -91,8 +91,8 @@ tar -xf paddle_inference.tgz ...@@ -91,8 +91,8 @@ tar -xf paddle_inference.tgz
Finally you can see the following files in the folder of `paddle_inference/`. Finally you can see the following files in the folder of `paddle_inference/`.
#### 1.2.2 Compile from the source code #### 1.2.2 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. * 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. It is recommended to download the inference library with paddle version greater than or equal to 2.0.1.
* You can refer to [Paddle inference library] (https://www.paddlepaddle.org.cn/documentation/docs/en/develop/guides/05_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. * 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 ```shell
...@@ -217,6 +217,7 @@ max_side_len 960 # Limit the maximum image height and width to 960 ...@@ -217,6 +217,7 @@ max_side_len 960 # Limit the maximum image height and width to 960
det_db_thresh 0.3 # Used to filter the binarized image of DB prediction, setting 0.-0.3 has no obvious effect on the result det_db_thresh 0.3 # Used to filter the binarized image of DB prediction, setting 0.-0.3 has no obvious effect on the result
det_db_box_thresh 0.5 # DDB post-processing filter box threshold, if there is a missing box detected, it can be reduced as appropriate det_db_box_thresh 0.5 # DDB post-processing filter box threshold, if there is a missing box detected, it can be reduced as appropriate
det_db_unclip_ratio 1.6 # Indicates the compactness of the text box, the smaller the value, the closer the text box to the text det_db_unclip_ratio 1.6 # Indicates the compactness of the text box, the smaller the value, the closer the text box to the text
use_polygon_score 1 # Whether to use polygon box to calculate bbox score, 0 means to use rectangle box to calculate. Use rectangular box to calculate faster, and polygonal box more accurate for curved text area.
det_model_dir ./inference/det_db # Address of detection inference model det_model_dir ./inference/det_db # Address of detection inference model
# cls config # cls config
...@@ -238,7 +239,7 @@ visualize 1 # Whether to visualize the results,when it is set as 1, The predic ...@@ -238,7 +239,7 @@ visualize 1 # Whether to visualize the results,when it is set as 1, The predic
The detection results will be shown on the screen, which is as follows. The detection results will be shown on the screen, which is as follows.
<div align="center"> <div align="center">
<img src="../imgs/cpp_infer_pred_12.png" width="600"> <img src="./imgs/cpp_infer_pred_12.png" width="600">
</div> </div>
......
...@@ -59,7 +59,8 @@ int main(int argc, char **argv) { ...@@ -59,7 +59,8 @@ int main(int argc, char **argv) {
config.gpu_mem, config.cpu_math_library_num_threads, config.gpu_mem, config.cpu_math_library_num_threads,
config.use_mkldnn, config.max_side_len, config.det_db_thresh, config.use_mkldnn, config.max_side_len, config.det_db_thresh,
config.det_db_box_thresh, config.det_db_unclip_ratio, config.det_db_box_thresh, config.det_db_unclip_ratio,
config.visualize, config.use_tensorrt, config.use_fp16); config.use_polygon_score, config.visualize,
config.use_tensorrt, config.use_fp16);
Classifier *cls = nullptr; Classifier *cls = nullptr;
if (config.use_angle_cls == true) { if (config.use_angle_cls == true) {
......
...@@ -109,9 +109,9 @@ void DBDetector::Run(cv::Mat &img, ...@@ -109,9 +109,9 @@ void DBDetector::Run(cv::Mat &img,
cv::Mat dilation_map; cv::Mat dilation_map;
cv::Mat dila_ele = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(2, 2)); cv::Mat dila_ele = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(2, 2));
cv::dilate(bit_map, dilation_map, dila_ele); cv::dilate(bit_map, dilation_map, dila_ele);
boxes = post_processor_.BoxesFromBitmap(pred_map, dilation_map, boxes = post_processor_.BoxesFromBitmap(
this->det_db_box_thresh_, pred_map, dilation_map, this->det_db_box_thresh_,
this->det_db_unclip_ratio_); this->det_db_unclip_ratio_, this->use_polygon_score_);
boxes = post_processor_.FilterTagDetRes(boxes, ratio_h, ratio_w, srcimg); boxes = post_processor_.FilterTagDetRes(boxes, ratio_h, ratio_w, srcimg);
......
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