Command line for example of usage DLL/SO

src/yolo_console_dll.cpp

@@ -11,7 +11,6 @@
 
 #ifdef _WIN32
 #define OPENCV
-//#include "windows.h"
 #endif
 
 //#define TRACK_OPTFLOW
@@ -91,15 +90,24 @@ std::vector<std::string> objects_names_from_file(std::string const filename) {
 
 int main(int argc, char *argv[])
 {
+	std::string  names_file = "data/voc.names";
+	std::string  cfg_file = "cfg/yolo-voc.cfg";
+	std::string  weights_file = "yolo-voc.weights";
 	std::string filename;
-	if (argc > 1) filename = argv[1];
 
-	//Detector detector("cfg/yolo-voc.cfg", "yolo-voc.weights");
-	Detector detector("tiny-yolo-voc_air.cfg", "backup/tiny-yolo-voc_air_5000.weights");
+	if (argc > 4) {	//voc.names yolo-voc.cfg yolo-voc.weights test.mp4		
+		names_file = argv[1];
+		cfg_file = argv[2];
+		weights_file = argv[3];
+		filename = argv[4];
+	}
+	else if (argc > 1) filename = argv[1];
+
+	Detector detector(cfg_file, weights_file);
 
-	auto obj_names = objects_names_from_file("data/voc.names");
+	auto obj_names = objects_names_from_file(names_file);
 	std::string out_videofile = "result.avi";
-	bool const save_output_videofile = false;
+	bool const save_output_videofile = true;
 #ifdef TRACK_OPTFLOW
 	Tracker_optflow tracker_flow;
 	detector.wait_stream = true;

src/yolo_v2_class.hpp

@@ -95,8 +95,6 @@ public:
 	{
 		cv::Mat img;
 		cv::cvtColor(img_src, img, cv::COLOR_RGB2BGR);
-		//std::cout << "\n img_rgb: " << img_rgb.size() << ", " << img_rgb.type() << ", " << img_rgb.channels() << std::endl;
-		//std::cout << "\n img: " << img.size() << ", " << img.type() << ", " << img.channels() << std::endl;
 		std::shared_ptr<image_t> image_ptr(new image_t, [](image_t *img) { free_image(*img); delete img; });
 		std::shared_ptr<IplImage> ipl_small = std::make_shared<IplImage>(img);
 		*image_ptr = ipl_to_image(ipl_small.get());
@@ -115,20 +113,14 @@ private:
 		image_t out = make_image_custom(w, h, c);
 		int count = 0;
 
-		//std::vector<unsigned char> tmp(w*h*c);
-
 		for (int k = 0; k < c; ++k) {
 			for (int i = 0; i < h; ++i) {
 				int i_step = i*step;
 				for (int j = 0; j < w; ++j) {
 					out.data[count++] = data[i_step + j*c + k] / 255.;
-					//tmp[count++] = data[i_step + j*c + k];
 				}
 			}
 		}
-		//cv::Mat wrapped_8bit(cv::Size(w, h), CV_8UC3, tmp.data());
-		//cv::Mat wrapped_32float(cv::Size(w, h), CV_32FC3, out.data);
-		//wrapped_8bit.convertTo(wrapped_32float, CV_32FC3, 1 / 255.);
 
 		return out;
 	}
@@ -172,7 +164,7 @@ public:
 
 		sync_PyrLKOpticalFlow_gpu = cv::cuda::SparsePyrLKOpticalFlow::create();
 		sync_PyrLKOpticalFlow_gpu->setWinSize(cv::Size(21, 21));	// 15, 21, 31
-		sync_PyrLKOpticalFlow_gpu->setMaxLevel(3);		// +- 5 ptx
+		sync_PyrLKOpticalFlow_gpu->setMaxLevel(3);		// +- 3 pt
 		sync_PyrLKOpticalFlow_gpu->setNumIters(2000);	// def: 30
 
 		cv::cuda::setDevice(old_gpu_id);
@@ -238,8 +230,6 @@ public:
 			return cur_bbox_vec;
 		}
 
-		//return cur_bbox_vec;
-
 		cv::Mat prev_pts, prev_pts_flow_cpu, cur_pts_flow_cpu;
 
 		for (auto &i : cur_bbox_vec) {