随笔分类 - 计算机视觉实验
摘要:特征点检测与匹配 #include <bits/stdc++.h> #include <opencv2/opencv.hpp> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp
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摘要:#include <bits/stdc++.h> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/objdetect.hpp" #inc
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摘要:#include "opencv2/imgcodecs.hpp" #include "opencv2/highgui.hpp" #include "opencv2/imgproc.hpp" #include <iostream> using namespace std; using namespac
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摘要:#include <bits/stdc++.h> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/objdetect.hpp" #inc
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摘要:#include <bits/stdc++.h> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/objdetect.hpp" #inc
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摘要:#include <bits/stdc++.h> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/objdetect.hpp" #inc
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摘要:对6.1进行了一些优化 题外话:稍加观察思索就会发现,我只测试了一个视频场景,而且这个场景是特意选择的。背景十分干净,是白色的墙壁,没有过多的干扰。我这个是不可能在雪地里追踪到白色的兔子的。我在测试的时候还发现,当我把矩形框框得比较大的时候,也就是包含的墙壁比较多,它就很大概率会丢失目标,开始乱跑。
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摘要:#include <bits/stdc++.h> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/objdetect.hpp" #inc
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摘要:#include <bits/stdc++.h> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/objdetect.hpp" #inc
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摘要:#include <bits/stdc++.h> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/objdetect.hpp" #inc
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摘要:#include <bits/stdc++.h> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/objdetect.hpp" #inc
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摘要:#include <bits/stdc++.h> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/objdetect.hpp" #inc
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摘要:#include <bits/stdc++.h> #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/objdetect.hpp" #inc
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摘要:#include <bits/stdc++.h> #define inf 2333333333333333 #define N 1000010 #define p(a) putchar(a) #define For(i,a,b) for(int i=a;i<=b;++i) typedef unsig
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摘要:#include <bits/stdc++.h> #define inf 2333333333333333 #define N 1000010 #define p(a) putchar(a) #define For(i,a,b) for(int i=a;i<=b;++i) typedef unsig
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摘要:#include<opencv2/core.hpp> #include<opencv2/highgui.hpp> using namespace cv; void getChannel(const uchar *input, int width, int height,int inStep, int
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摘要:#include <bits/stdc++.h> #define inf 2333333333333333 #define N 1000010 #define p(a) putchar(a) #define For(i,a,b) for(int i=a;i<=b;++i) typedef unsig
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摘要:#include <bits/stdc++.h> #define inf 2333333333333333 #define N 1000010 #define p(a) putchar(a) #define For(i,a,b) for(int i=a;i<=b;++i) typedef unsig
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摘要:#include <bits/stdc++.h> #define inf 2333333333333333 #define N 1000010 #define p(a) putchar(a) #define For(i,a,b) for(int i=a;i<=b;++i) //by war //20
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