上传文件至 'v1'

v1/WaferRebuild.h

@@ -0,0 +1,70 @@
+#ifndef WAFERREBUILD_H
+#define WAFERREBUILD_H
+
+#ifdef _EXPORTING 
+#define API_DECLSPEC    __declspec(dllexport)  
+#else  
+#define API_DECLSPEC    __declspec(dllimport)  
+#endif 
+
+#include <vector>
+#include <string>
+#include <tuple>
+#include "math_tool.h"
+#include "image.h"
+#include "cloud_point.h"
+#include "nlohmann/json.hpp"
+
+class ArithPmd;
+class API_DECLSPEC WaferRebuild
+{
+public:
+	WaferRebuild();
+	~WaferRebuild();
+
+private:
+
+	ArithPmd* arith_pmd;
+public:
+
+	/*
+   * @brief  初始化
+   *
+   * @param[in]  param    算法参数(json格式, 包含相机标定矩阵)
+   * @return     错误码
+   */
+	std::tuple<int, std::string> initParam(const nlohmann::json& param);
+
+	/*
+   * @brief  计算一台相机点云，可并发
+   *
+   * @param[in]  image_list  一台相机的图像
+   * @param[out] cloud_points  点云
+   * @param[in] camera_index  相机id(0 , 1 , 2 , 3)
+   * @return     错误码
+   */
+	std::tuple<int, std::string> calcCloud(const std::vector<std::shared_ptr<infra::Image>>& image_list, std::shared_ptr<infra::CloudPoint<double>>& cloud_points, int32_t camera_index);
+
+	/*
+	* @brief  合并点云
+	*
+	* @param[in]  cloud_points_list  相机id(0 , 1 , 2 , 3) 和 相机对应点云
+	* @param[out] cloud_points  四台相机合并后的点云
+	* @return     错误码
+	*/
+	std::tuple<int, std::string> mergeCloud(const std::map<int32_t, std::shared_ptr<infra::CloudPoint<double>>>& cloud_points_list,
+		std::shared_ptr<infra::CloudPoint<double>>& cloud_points);
+
+	/*
+	* @brief  翘曲测量
+	*
+	* @param[in]  cloud_points  合并后的点云
+	* @param[in]  filterMM  过滤尺寸
+	* @param[out]  result  测量结果(json格式)，如result
+	* @return     错误码
+	*/
+	std::tuple<int, std::string> warpage(const std::shared_ptr<infra::CloudPoint<double>>& cloud_points, int32_t filterMM, nlohmann::json& result);
+
+};
+
+#endif // WAFERREBUILD_H

v1/算法接口.txt

@@ -0,0 +1,70 @@
+1. 算法接口
+    /*
+    * @brief  初始化
+    * 
+    * @param[in]  param    算法参数(json格式, 包含相机标定矩阵)
+    * @return     错误码
+    */
+	std::tuple<int, std::string> initParam(const nlohmann::json& param); // param
+
+    /*
+    * @brief  计算一台相机点云，可并发
+    * 
+    * @param[in]  image_list  一台相机的图像
+	* @param[out] cloud_points  点云
+    * @return     错误码
+    */
+	std::tuple<int, std::string> calcCloud(const std::vector<std::shared_ptr<infra::Image>>& image_list, std::shared_ptr<infra::CloudPoint<double>>& cloud_points);
+
+    /*
+    * @brief  合并点云
+    * 
+    * @param[in]  cloud_points_list  相机id 和 相机对应点云
+	* @param[out] cloud_points  四台相机合并后的点云
+    * @return     错误码
+    */
+	std::tuple<int, std::string> mergeCloud(const std::map<int32_t, std::shared_ptr<infra::CloudPoint<double>>>& cloud_points_list, 
+											std::shared_ptr<infra::CloudPoint<double>>& cloud_points);
+
+    /*
+    * @brief  翘曲测量
+    * 
+    * @param[in]  cloud_points  合并后的点云
+	* @param[in]  filterMM  过滤尺寸
+	* @param[out]  result  测量结果(json格式)，如result
+    * @return     错误码
+    */
+	std::tuple<int, std::string> warpage(const std::shared_ptr<infra::CloudPoint<double>>& cloud_points, int32_t filterMM, nlohmann::json& result);
+
+
+2. 测量结果
+result:
+{
+	"x" :
+	{
+		"height":[0.1,0.2,...], // 预计4000个
+		"bow" : 0.1,
+		"warpage" : 0.1
+	},
+	"y" :
+	{
+		"height":[0.1,0.2,...],
+		"bow" : 0.1,
+		"warpage" : 0.1
+	}
+	"max_bow" :
+	{
+		"angle":0.1, // 弧度
+		"height":[0.1,0.2,...],
+		"max_bow" : 0.1
+	},
+	"max_warpage" :
+	{
+		"angle":0.1, // 弧度
+		"height":[0.1,0.2,...],
+		"max_warpage" : 0.1
+	}
+}
+
+3. 算法错误码
+待定