Change Info class to structsandbox/inki.dae/object_detection_3d

[Issue type] refactoring

ObjectDecoder class needs access all of Info member variables.
So all of Info class variables need to get method because it is
just struct of data. Since Info classes not have any special
member function, struct is more suitable for data access.

Change-Id: Ifa470fbb17344451584e0b93ad6faf859c021eba
Signed-off-by: Kwanghoon Son <k.son@samsung.com>

4 files changed, 4 insertions, 13 deletions

diff --git a/mv_machine_learning/inference/include/BoxInfo.h b/mv_machine_learning/inference/include/BoxInfo.h
index 131e6076..dedc7e30 100644
--- a/mv_machine_learning/inference/include/BoxInfo.h
+++ b/mv_machine_learning/inference/include/BoxInfo.h
@@ -48,9 +48,8 @@ struct Number
 	DimInfo dimInfo;
 };
 
-class BoxInfo
+struct BoxInfo
 {
-private:
 	std::vector<std::string> names;
 	DimInfo dimInfo;
 	inference_box_type_e type = INFERENCE_BOX_TYPE_ORIGIN_LEFTTOP; // 0:L-T-R-B, 1: Cx-Cy-W-H
@@ -75,7 +74,6 @@ private:
 		{ "YOLO_ANCHOR", INFERENCE_BOX_DECODING_TYPE_YOLO_ANCHOR }
 	};
 
-public:
 	~BoxInfo() = default;
 
 	std::string GetName();
diff --git a/mv_machine_learning/inference/include/DecodeInfo.h b/mv_machine_learning/inference/include/DecodeInfo.h
index 3a5fef8b..67c7e326 100644
--- a/mv_machine_learning/inference/include/DecodeInfo.h
+++ b/mv_machine_learning/inference/include/DecodeInfo.h
@@ -101,9 +101,8 @@ struct RoiOptionParam
 	int mode;
 };
 
-class DecodeInfo
+struct DecodeInfo
 {
-private:
 	AnchorParam anchorParam;
 	std::vector<cv::Rect2f> anchorBoxes;
 	CellParam cellParam;
@@ -111,7 +110,6 @@ private:
 	RotateParam rotParam;
 	RoiOptionParam roiOptParam;
 
-public:
 	DecodeInfo()
 	{
 		cellParam.type = INFERENCE_SCORE_TYPE_NORMAL;
diff --git a/mv_machine_learning/inference/include/DimInfo.h b/mv_machine_learning/inference/include/DimInfo.h
index 3c0782a6..e32c43fd 100644
--- a/mv_machine_learning/inference/include/DimInfo.h
+++ b/mv_machine_learning/inference/include/DimInfo.h
@@ -24,12 +24,10 @@ namespace mediavision
 {
 namespace inference
 {
-class DimInfo
+struct DimInfo
 {
-private:
 	std::vector<int> dims;
 
-public:
 	std::vector<int> GetValidIndexAll() const
 	{
 		LOGI("ENTER");
diff --git a/mv_machine_learning/inference/include/ScoreInfo.h b/mv_machine_learning/inference/include/ScoreInfo.h
index 69a0d453..4592f7f9 100644
--- a/mv_machine_learning/inference/include/ScoreInfo.h
+++ b/mv_machine_learning/inference/include/ScoreInfo.h
@@ -41,9 +41,8 @@ struct DeQuantization
 	{}
 };
 
-class ScoreInfo
+struct ScoreInfo
 {
-private:
 	std::vector<std::string> names;
 	DimInfo dimInfo;
 	double threshold = 0.0;
@@ -52,8 +51,6 @@ private:
 	std::shared_ptr<DeQuantization> deQuantization;
 	std::map<std::string, inference_score_type_e> supportedScoreTypes = { { "NORMAL", INFERENCE_SCORE_TYPE_NORMAL },
 																		  { "SIGMOID", INFERENCE_SCORE_TYPE_SIGMOID } };
-
-public:
 	~ScoreInfo() = default;
 
 	std::string GetName()