From 23cb35e6c8eae8b59fab161036ae3f417a55c8db Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Fri, 30 Mar 2018 11:46:51 +0000
Subject: [PATCH] Changed small_object

---
 src/yolo_v2_class.hpp |  124 ++++++++++++++++++++++++++++-------------
 1 files changed, 84 insertions(+), 40 deletions(-)

diff --git a/src/yolo_v2_class.hpp b/src/yolo_v2_class.hpp
index 4e27b00..68482e6 100644
--- a/src/yolo_v2_class.hpp
+++ b/src/yolo_v2_class.hpp
@@ -1,15 +1,4 @@
 #pragma once
-#include <memory>
-#include <vector>
-#include <deque>
-#include <algorithm>
-
-#ifdef OPENCV
-#include <opencv2/opencv.hpp>			// C++
-#include "opencv2/highgui/highgui_c.h"	// C
-#include "opencv2/imgproc/imgproc_c.h"	// C
-#endif	// OPENCV
-
 #ifdef YOLODLL_EXPORTS
 #if defined(_MSC_VER)
 #define YOLODLL_API __declspec(dllexport) 
@@ -39,6 +28,17 @@
 	float *data;				// pointer to the image data
 };
 
+#ifdef __cplusplus
+#include <memory>
+#include <vector>
+#include <deque>
+#include <algorithm>
+
+#ifdef OPENCV
+#include <opencv2/opencv.hpp>			// C++
+#include "opencv2/highgui/highgui_c.h"	// C
+#include "opencv2/imgproc/imgproc_c.h"	// C
+#endif	// OPENCV
 
 class Detector {
 	std::shared_ptr<void> detector_gpu_ptr;
@@ -61,23 +61,23 @@
 	YOLODLL_API std::vector<bbox_t> tracking_id(std::vector<bbox_t> cur_bbox_vec, bool const change_history = true, 
 												int const frames_story = 10, int const max_dist = 150);
 
+	std::vector<bbox_t> detect_resized(image_t img, int init_w, int init_h, float thresh = 0.2, bool use_mean = false)
+	{
+		if (img.data == NULL)
+			throw std::runtime_error("Image is empty");
+		auto detection_boxes = detect(img, thresh, use_mean);
+		float wk = (float)init_w / img.w, hk = (float)init_h / img.h;
+		for (auto &i : detection_boxes) i.x *= wk, i.w *= wk, i.y *= hk, i.h *= hk;
+		return detection_boxes;
+	}
+
 #ifdef OPENCV
 	std::vector<bbox_t> detect(cv::Mat mat, float thresh = 0.2, bool use_mean = false)
 	{
 		if(mat.data == NULL)
 			throw std::runtime_error("Image is empty");
 		auto image_ptr = mat_to_image_resize(mat);
-		return detect_resized(*image_ptr, mat.size(), thresh, use_mean);
-	}
-
-	std::vector<bbox_t> detect_resized(image_t img, cv::Size init_size, float thresh = 0.2, bool use_mean = false)
-	{
-		if (img.data == NULL)
-			throw std::runtime_error("Image is empty");
-		auto detection_boxes = detect(img, thresh, use_mean);
-		float wk = (float)init_size.width / img.w, hk = (float)init_size.height / img.h;
-		for (auto &i : detection_boxes) i.x *= wk, i.w *= wk, i.y *= hk, i.h *= hk;
-		return detection_boxes;
+		return detect_resized(*image_ptr, mat.cols, mat.rows, thresh, use_mean);
 	}
 
 	std::shared_ptr<image_t> mat_to_image_resize(cv::Mat mat) const
@@ -323,7 +323,8 @@
 
 #elif defined(TRACK_OPTFLOW) && defined(OPENCV)
 
-#include <opencv2/optflow.hpp>
+//#include <opencv2/optflow.hpp>
+#include <opencv2/video/tracking.hpp>
 
 class Tracker_optflow {
 public:
@@ -340,8 +341,7 @@
 	}
 
 	// just to avoid extra allocations
-	cv::Mat src_mat;
-	cv::Mat dst_mat, dst_grey;
+	cv::Mat dst_grey;
 	cv::Mat prev_pts_flow, cur_pts_flow;
 	cv::Mat status, err;
 
@@ -373,15 +373,10 @@
 	void update_tracking_flow(cv::Mat new_src_mat, std::vector<bbox_t> _cur_bbox_vec)
 	{
 		if (new_src_mat.channels() == 3) {
-			if (src_mat.cols == 0) {
-				src_mat = cv::Mat(new_src_mat.size(), new_src_mat.type());
-				src_grey = cv::Mat(new_src_mat.size(), CV_8UC1);
-			}
 
 			update_cur_bbox_vec(_cur_bbox_vec);
 
-            src_mat = new_src_mat;
-			cv::cvtColor(src_mat, src_grey, CV_BGR2GRAY, 1);
+			cv::cvtColor(new_src_mat, src_grey, CV_BGR2GRAY, 1);
 		}
 	}
 
@@ -393,19 +388,17 @@
 			return cur_bbox_vec;
 		}
 
-		if (dst_mat.cols == 0) {
-			dst_mat = cv::Mat(new_dst_mat.size(), new_dst_mat.type());
-			dst_grey = cv::Mat(new_dst_mat.size(), CV_8UC1);
-		}
-
-        dst_mat = new_dst_mat;
-		cv::cvtColor(dst_mat, dst_grey, CV_BGR2GRAY, 1);
+		cv::cvtColor(new_dst_mat, dst_grey, CV_BGR2GRAY, 1);
 
 		if (src_grey.rows != dst_grey.rows || src_grey.cols != dst_grey.cols) {
 			src_grey = dst_grey.clone();
 			return cur_bbox_vec;
 		}
 
+		if (prev_pts_flow.cols < 1) {
+			return cur_bbox_vec;
+		}
+
 		////sync_PyrLKOpticalFlow_gpu.sparse(src_grey_gpu, dst_grey_gpu, prev_pts_flow_gpu, cur_pts_flow_gpu, status_gpu, &err_gpu);	// OpenCV 2.4.x
 		sync_PyrLKOpticalFlow->calc(src_grey, dst_grey, prev_pts_flow, cur_pts_flow, status, err);	// OpenCV 3.x
 
@@ -413,7 +406,7 @@
 
 		std::vector<bbox_t> result_bbox_vec;
 
-		if (err.cols == cur_bbox_vec.size() && status.cols == cur_bbox_vec.size())
+		if (err.rows == cur_bbox_vec.size() && status.rows == cur_bbox_vec.size())
 		{
 			for (size_t i = 0; i < cur_bbox_vec.size(); ++i)
 			{
@@ -438,7 +431,7 @@
 			}
 		}
 
-		prev_pts_flow = cur_pts_flow;
+		prev_pts_flow = cur_pts_flow.clone();
 
 		return result_bbox_vec;
 	}
@@ -595,3 +588,54 @@
 	}
 };
 #endif	// OPENCV
+
+//extern "C" {
+#endif	// __cplusplus
+
+/*
+	// C - wrappers
+	YOLODLL_API void create_detector(char const* cfg_filename, char const* weight_filename, int gpu_id);
+	YOLODLL_API void delete_detector();
+	YOLODLL_API bbox_t* detect_custom(image_t img, float thresh, bool use_mean, int *result_size);
+	YOLODLL_API bbox_t* detect_resized(image_t img, int init_w, int init_h, float thresh, bool use_mean, int *result_size);
+	YOLODLL_API bbox_t* detect(image_t img, int *result_size);
+	YOLODLL_API image_t load_img(char *image_filename);
+	YOLODLL_API void free_img(image_t m);
+
+#ifdef __cplusplus
+}	// extern "C"
+
+static std::shared_ptr<void> c_detector_ptr;
+static std::vector<bbox_t> c_result_vec;
+
+void create_detector(char const* cfg_filename, char const* weight_filename, int gpu_id) {
+	c_detector_ptr = std::make_shared<YOLODLL_API Detector>(cfg_filename, weight_filename, gpu_id);
+}
+
+void delete_detector() { c_detector_ptr.reset(); }
+
+bbox_t* detect_custom(image_t img, float thresh, bool use_mean, int *result_size) {
+	c_result_vec = static_cast<Detector*>(c_detector_ptr.get())->detect(img, thresh, use_mean);
+	*result_size = c_result_vec.size();
+	return c_result_vec.data();
+}
+
+bbox_t* detect_resized(image_t img, int init_w, int init_h, float thresh, bool use_mean, int *result_size) {
+	c_result_vec = static_cast<Detector*>(c_detector_ptr.get())->detect_resized(img, init_w, init_h, thresh, use_mean);
+	*result_size = c_result_vec.size();
+	return c_result_vec.data();
+}
+
+bbox_t* detect(image_t img, int *result_size) {
+	return detect_custom(img, 0.24, true, result_size);
+}
+
+image_t load_img(char *image_filename) {
+	return static_cast<Detector*>(c_detector_ptr.get())->load_image(image_filename);
+}
+void free_img(image_t m) {
+	static_cast<Detector*>(c_detector_ptr.get())->free_image(m);
+}
+
+#endif	// __cplusplus
+*/

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