CPlot簡介
Matlab的plot函數非常的強大,進行資料顯示的效果非常的好,但是經常使用Opencv的同學如果每次將計算之後的資料匯入到Matlab裡顯示又比較麻煩,因此決定寫一類似於plot的C函數,用於在OpenCV中進行資料顯示。設計一個Plot類,項目位於github上https://github.com/libing64/CPlot
主要參數
private://視窗大小int window_height;int window_width;vector< vector<CvPoint2D64f> >dataset;//一個Figure中顯示的資料集public:IplImage* Figure;// 用於顯示的圖片// manual or automatic range//顯示比例和範圍bool custom_range_y;double y_max;double y_min;double y_scale;bool custom_range_x;double x_max;double x_min;double x_scale;//邊界大小int border_size;
常用函數
//分別加上幾種資料類型,你可以嘗試改為C++的泛型設計void plot(int *x, int *y, size_t Cnt, CvScalar color);void plot(float *x, float *y, size_t Cnt, CvScalar color);void plot(double *x, double *y, size_t Cnt, CvScalar color);//添加標籤void xlabel(string xlabel_name, CvScalar label_color);void ylabel(string ylabel_name, CvScalar label_color);//清空資料void clear();//添加titlevoid title(string title_name);
實現
到項目首頁上Plot.cpp中有完整的代碼實現 https://github.com/libing64/CPlot
範例
#include "cv.h"#include "highgui.h"#include "plot.h"#include<iostream>int main(int argc, char* argv[]){ const int Cnt = 100; double X[Cnt] = {0}; double Y[Cnt] = {0}; for(int i = 0; i < Cnt; i++) { X[i] = (double)i; Y[i] = (double)4*i - 20; } cvNamedWindow("hello",1); Plot plot; CvScalar color = CV_RGB(255, 0, 0); plot.plot(X, Y, Cnt, color); cvShowImage("hello", plot.Figure); cvWaitKey(0); //plot.clear(); for(int i = 0; i < Cnt; i++) { X[i] = (double)i; Y[i] = (double)(5*i - 20); } plot.plot(X, Y, Cnt, color); cvShowImage("hello", plot.Figure); cvWaitKey(0); for(int i = 0; i < Cnt; i++) { X[i] = (double)i; Y[i] = (double)(-5*i - 20); } plot.plot(X, Y, Cnt, color); cvShowImage("hello", plot.Figure); cvWaitKey(0); for(int i = 0; i < Cnt; i++) { X[i] = (double)i; Y[i] = (double)(50*sin(i*0.1)); } plot.plot(X, Y, Cnt, color); cvShowImage("hello", plot.Figure); cvWaitKey(0); int X2[Cnt] = {0}; int Y2[Cnt] = {0}; for(int i = 0; i < Cnt; i++) { X2[i] = i; Y2[i] = -100*i - 20; } plot.clear(); plot.plot(X2, Y2, Cnt/2, color); cvShowImage("hello", plot.Figure); cvWaitKey(0); return 0;}
顯示效果
如何自己最佳化
如果感覺這些代碼並不夠優,你可以自己去最佳化它
- 註冊一個github的帳號
- 進入項目首頁 https://github.com/libing64/CPlot
- 點擊fork
- 進入自己的項目首頁git clone git git@github.com:yourname/CPlot.git
-
修改代碼並commit
git commit -m "commit"
- 當感覺自己寫的比較優秀的時候可以,與原始項目合并,點擊pull