update image beauty funtion

c++/PCA9685/README.md

+本目录下存放舵机控制接口代码
+
+构建方法：
+1、进入相应目录下
+2、mkdir build  #构建build目录
+3、cd build;cmake ..;make #创建相关库
+4、查看python/examples 目录下例子如何调用方法
+                 
+

c++/beauty/CMakeLists.txt

+cmake_minimum_required(VERSION 2.6)
+
+project(beauty)
+
+SET(LIBRARY_OUTPUT_PATH ${PROJECT_BINARY_DIR})
+
+# vars
+set(OPENCV_INCLUDE /usr/local/include/)
+set(OPENCV_LIBPATH /usr/local/lib/)
+set(OPENCV_LIBS opencv_highgui opencv_core opencv_imgproc opencv_videoio opencv_tracking opencv_ml opencv_objdetect opencv_imgcodecs)
+
+
+# compile flags
+SET(CMAKE_CXX_FLAGS "-W -Wall -Wno-sign-compare -fPIC -std=c++11 -O2")
+
+# include path
+include_directories(${PROJECT_SOURCE_DIR}/include)
+include_directories(${OPENCV_INCLUDE})
+
+# library path
+link_directories(${OPENCV_LIBPATH})
+
+ADD_SUBDIRECTORY(src)
+

c++/beauty/README.md

+本目录下存放人脸美颜接口代码，查看效果图
+
+构建方法：
+1、进入相应目录下
+2、mkdir build  #构建build目录
+3、cd build;cmake ..;make #创建相关库
+4、查看python/examples 目录下例子如何调用方法
+                 
+

c++/beauty/src/CMakeLists.txt

+cmake_minimum_required(VERSION 2.6)
+
+project(glasses)
+
+# source 
+file(GLOB LIB_SRCS ./*.cpp)
+
+# shared library 
+ADD_LIBRARY(${CMAKE_PROJECT_NAME} SHARED ${LIB_SRCS})
+TARGET_LINK_LIBRARIES(${CMAKE_PROJECT_NAME} ${OPENCV_LIBS} )
+

c++/beauty/src/common.h

+/**
+* @file    common.h
+*
+* @brief
+*
+* 定义接口错误码
+*
+* @copyright
+*
+* 无锡优波生命科技有限公司
+* All Rights Reserved.
+*/
+
+#pragma once
+
+#include <string>
+#include <vector>
+#include <iostream>
+#include <fstream>
+#include <sstream>
+#include <opencv2/opencv.hpp>
+
+using namespace std;
+using namespace cv;
+
+typedef enum {
+    ///< 正确
+    FACE_OK,
+    ///< 参数错误
+    FACE_ERR_INVALID_PARAM,
+    ///< 内存不足
+    FACE_ERR_NO_FREE_MEMORY,
+    ///< 输入图像错误
+    FACE_ERR_INVALID_IMAGE
+}FACE_ERROR_E;

c++/beauty/src/face_beauty.cpp

+/**
+* @file    face_beauty.cpp.
+*
+* @brief
+*
+* 定义脸部美颜接口文件
+*
+* @copyright
+*
+* 无锡优波生命科技有限公司
+* All Rights Reserved.
+*/
+
+#include <string>
+#include <vector>
+#include <iostream>
+#include <memory>
+#include <utility>
+#include <fstream>
+#include <sstream>
+#include "face_beauty.h"
+
+#include <opencv2/opencv.hpp>
+#include <opencv2/objdetect.hpp>
+#include <opencv2/opencv.hpp>
+#include <opencv2/imgproc.hpp>
+#include <opencv2/highgui.hpp>
+
+
+using namespace cv;
+using namespace std;
+
+
+struct beauty_param
+{
+	bool bParamIsOk;
+	
+	int transparency;
+	
+	CascadeClassifier cascade;
+	
+	double scale;
+	
+    beauty_param()
+	{
+		bParamIsOk = false;
+        transparency = 0;
+        scale = 1.3;
+	}
+};
+
+struct face_beauty_instance
+{
+    std::shared_ptr<beauty_param> _param;
+};
+
+face_beauty_instance* face_beauty_init(
+    const char* cascadeName, 
+    int transparency
+    )
+	{
+        if( NULL == cascadeName  ) {
+            cout << "cascadeName can not be empty!" << endl;
+			return NULL;
+        }
+	
+        face_beauty_instance *instance = new face_beauty_instance();
+        if (NULL == instance) {
+            return NULL;
+        }
+        instance->_param = std::make_shared<beauty_param>();
+        
+	    if ( !instance->_param->cascade.load( cascadeName) )
+	    {
+		    cout << "Could not load classifier cascade" << endl;
+		    return NULL;
+	    }
+	    
+		instance->_param->transparency = transparency;
+        instance->_param->bParamIsOk = true;
+		return instance;	
+	}
+	
+
+FACE_ERROR_E face_beauty_estimate(
+    face_beauty_instance *instance,
+	int rows, int cols, unsigned char* imgdata
+	)
+	{
+        if (!instance || !instance->_param->bParamIsOk) {
+			cout << "param is NULL" << endl;
+			return FACE_ERR_INVALID_PARAM;
+		}
+
+		if (NULL == imgdata) {
+		    cout << "detImage is empty" << endl;
+			return FACE_ERR_INVALID_IMAGE;
+		}
+				        
+        cv::Mat inputImg(rows, cols, CV_8UC3, (void *)imgdata);
+        if (inputImg.empty())
+        {
+            cout << "input image can not be empty!" << endl;
+			return FACE_ERR_INVALID_IMAGE;
+        }
+
+        //Reduce the image and speed up the detection
+	    cv::Mat gray, smallImg(cvRound(inputImg.rows / instance->_param->scale),
+	        cvRound(inputImg.cols / instance->_param->scale), CV_8UC1);
+	        
+        //In order to use the haar-like features, they are all based on grayscale images, which are converted into grayscale images.
+	    cv::cvtColor(inputImg, gray, CV_BGR2GRAY);
+	    
+	    //Reduce the size to 1/scale with linear interpolation
+	    cv::resize(gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR);
+	
+	    //Histogram equalization
+	    equalizeHist(smallImg, smallImg);
+	    
+		vector<Rect> faces;
+	    instance->_param->cascade.detectMultiScale(smallImg, faces,
+		    1.1, 2, 0
+		    //|CV_HAAR_FIND_BIGGEST_OBJECT
+		    //|CV_HAAR_DO_ROUGH_SEARCH
+		    | CV_HAAR_SCALE_IMAGE
+		    ,
+		    Size(30, 30));
+        for (vector<Rect>::const_iterator it = faces.begin(); it != faces.end(); it++)
+	    {
+	    
+	        Point center, left, right;
+	        //Revert to original size
+		    center.x = cvRound((it->x + it->width*0.5) * instance->_param->scale);
+		    center.y = cvRound((it->y + it->height*0.5) * instance->_param->scale);
+		    int radius = cvRound((it->width + it->height)*0.25 * instance->_param->scale);
+
+		    left.x = center.x - radius;
+		    left.y = cvRound(center.y - radius*1.3);
+
+		    if (left.y<0)
+		    {
+			    left.y = 0;
+		    }
+
+		    right.x = center.x + radius;
+		    right.y = cvRound(center.y + radius*1.3);
+
+		    if (right.y > inputImg.rows)
+		    {
+			    right.y = inputImg.rows;
+		    }
+		    
+		    //Get the hot zone of the image
+		    Mat roiImg = inputImg(Range(left.y, right.y), Range(left.x, right.x));
+
+		    int value1 = 3, value2 = 1;
+
+		    int dx = value1 * 5;    //One of the bilateral filtering parameters  
+		    double fc = value1*12.5; //One of the bilateral filtering parameters   
+		    Mat temp1, temp2, temp3, temp4;
+
+		    //Bilateral filtering
+		    bilateralFilter(roiImg, temp1, dx, fc, fc);
+
+		    temp2 = (temp1 - roiImg + 128);
+
+		    //Gaussian blur  
+		    GaussianBlur(temp2, temp3, Size(2 * value2 - 1, 2 * value2 - 1), 0, 0);
+
+		    temp4 = roiImg + 2 * temp3 - 255;
+
+		    Mat dstImg = (roiImg*(100 - instance->_param->transparency) + 
+		            temp4*instance->_param->transparency) / 100;
+		            
+            //Restore to original image hot zone
+		    dstImg.copyTo(roiImg);
+	    }
+		
+		return FACE_OK;
+	}
+	
+FACE_ERROR_E face_beauty_destory(
+    face_beauty_instance *instance
+    )
+{
+    if (instance)
+        delete instance;
+    return FACE_OK;
+}

c++/beauty/src/face_beauty.h

+/**
+* @file    face_beauty.h.
+*
+* @brief
+*
+* 定义脸部美颜接口
+*
+* @copyright
+*
+* 无锡优波生命科技有限公司
+* All Rights Reserved.
+*/
+
+#pragma once
+
+#include "common.h"
+
+extern "C"
+{
+
+    struct face_beauty_instance;
+	/**
+     * @brief 加载检测模型
+     *
+     * @param  cascadeName               人脸检测模型路径
+     * @param  transparency              输入要设置美艳后的透明度
+     *
+     * @return  face_beauty_instance     返回窗口句柄指针
+     */
+
+    face_beauty_instance* face_beauty_init(const char* cascadeName, int transparency);
+		
+    /**
+     * @brief 执行脸部美颜功能
+     *	 
+     * @param face_beauty_instance     输入窗口句柄指针
+	 * @param  rows                    输入、输出图像行      
+	 * @param  cols                    输入、输出图像列       
+	 * @param  imgdata                 输入、输出图像数据                
+     *
+     * @return  FACE_ERROR_E           返回错误码
+     */
+
+    FACE_ERROR_E face_beauty_estimate(
+        face_beauty_instance *instance,
+	    int rows, 
+	    int cols, 
+	    unsigned char* imgdata
+        );
+
+    /**
+    * @brief 销毁句柄
+    *
+    * @param instance               需要销毁的句柄
+    *
+    * @return  bool                 返回True表示成功
+    */
+
+    FACE_ERROR_E face_beauty_destory(
+        face_beauty_instance *instance
+        );
+}
+

c++/gender/README.md

+本目录下存放性别检测接口代码
+
+构建方法：
+1、进入相应目录下
+2、mkdir build  #构建build目录
+3、cd build;cmake ..;make #创建相关库
+4、查看python/examples 目录下例子如何调用方法
+                 
+

c++/glass/README.md

+本目录下存放人脸戴眼镜检测接口代码
+
+构建方法：
+1、进入相应目录下
+2、mkdir build  #构建build目录
+3、cd build;cmake ..;make #创建相关库
+4、查看python/examples 目录下例子如何调用方法
+                 
+

c++/mask/README.md

+本目录下存放人脸戴口罩检测接口代码
+
+构建方法：
+1、进入相应目录下
+2、mkdir build  #构建build目录
+3、cd build;cmake ..;make #创建相关库
+4、查看python/examples 目录下例子如何调用方法
+                 
+

c++/tracker/README.md

+本目录下存放人脸跟踪接口代码
+
+构建方法：
+1、进入相应目录下
+2、mkdir build  #构建build目录
+3、cd build;cmake ..;make #创建相关库
+4、查看python/examples 目录下例子如何调用方法
+                 
+