demo.cpp

#include <iostream>
#include <opencv2/opencv.hpp>
#include "ncnn_centernet.h"
#include <sys/time.h>


float getElapse(struct timeval *tv1,struct timeval *tv2)
{
    float t = 0.0f;
    if (tv1->tv_sec == tv2->tv_sec)
        t = (tv2->tv_usec - tv1->tv_usec)/1000.0f;
    else
        t = ((tv2->tv_sec - tv1->tv_sec) * 1000 * 1000 + tv2->tv_usec - tv1->tv_usec)/1000.0f;
    return t;
}



static void draw_objects(const cv::Mat& bgr, const std::vector<ObjInfo> obj_info, float ratio)
{
    static const char* class_names[] = {
        "aeroplane", "bicycle", "bird", "boat",
        "bottle", "bus", "car", "cat", "chair",
        "cow", "diningtable", "dog", "horse",
        "motorbike", "person", "pottedplant",
        "sheep", "sofa", "train", "tvmonitor"};

    cv::Mat image = bgr.clone();

    for (size_t i = 0; i < obj_info.size(); i++)
    {
	
        if (obj_info[i].score > 0.2) 
			{
				const ObjInfo& obj = obj_info[i];

				fprintf(stderr, "%d = %.5f at %.2f %.2f %.2f x %.2f\n", obj.label, obj.score,
					obj.x1, obj.y1, obj.x2, obj.y2);

				cv::rectangle(image, cv::Point(obj.x1 /ratio, obj.y1 / ratio), cv::Point(obj.x2 /ratio, obj.y2 /ratio), cv::Scalar(255, 0, 0));

				char text[256];
				sprintf(text, "%s %.1f%%", class_names[obj.label], obj.score * 100);

				int baseLine = 0;
				cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);

				int x = obj.x1 / ratio;
				int y = obj.y1 / ratio - label_size.height - baseLine;
					if (y < 0)
					y = 0;
				if (x + label_size.width > image.cols)
				x = image.cols - label_size.width;

				cv::rectangle(image, cv::Rect(cv::Point(x, y), cv::Size(label_size.width, label_size.height + baseLine)),
						cv::Scalar(255, 255, 255), -1);

				cv::putText(image, text, cv::Point(x, y + label_size.height),
						cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(0, 0, 0));
			}
    }

    cv::imwrite("test.jpg",image);
}


int main(int argc, char** argv) {
	if (argc !=3)
	{
		std::cout << " .exe mode_path image_file" << std::endl;
		return -1;
	}
    struct timeval  tv1,tv2;
    struct timezone tz1,tz2;

	std::string model_path = argv[1];
	std::string image_file = argv[2];

	Centerobj centerobj;

	centerobj.init(model_path);

	cv::Mat image = cv::imread(image_file);
	
	// img_resize = image.clone();
	int long_size = 320;
	int ori_w = image.cols;
	int ori_h = image.rows;
	float ratio = 320 *1.0 / ori_w;
	if (ori_h > ori_w) ratio = 320 *1.0 / ori_h;

	cv::Mat img_resize;
	cv::resize(image, img_resize, cv::Size(ori_w*ratio, ori_h*ratio), (0, 0), (0, 0), cv::INTER_LINEAR);
	std::vector<ObjInfo> obj_info;
	ncnn::Mat inmat = ncnn::Mat::from_pixels(img_resize.data, ncnn::Mat::PIXEL_BGR, img_resize.cols, img_resize.rows);
	for(int i = 0; i<10;i++){
		gettimeofday(&tv1,&tz1);
		centerobj.detect(inmat, obj_info, img_resize.cols, img_resize.rows);
		gettimeofday(&tv2,&tz2);
		float tc = getElapse(&tv1, &tv2);
		std::cout << "耗时：" << tc << "ms" << std::endl;
	}

	// for (int i = 0; i < obj_info.size(); i++) {
	// 	cv::rectangle(img_resize, cv::Point(obj_info[i].x1, obj_info[i].y1), cv::Point(obj_info[i].x2, obj_info[i].y2), cv::Scalar(0, 255, 0), 2);

	// }
	// cv::imwrite("test.jpg",img_resize);


	draw_objects(image,obj_info,ratio);
	// cv::imshow("test", image);
	// cv::waitKey();

	return 0;
}