[ARC074C] RGB Sequence(dp)

博客围绕[ARC074C] RGB Sequence展开,指出这是一道动态规划(dp)题。直接维护颜色状态较难,可记录每种颜色最晚出现位置,将状态从O(n4)优化为O(n3),对于限制条件,把不满足的状态值置为0,时间复杂度为O(n3+n2m)。

[ARC074C] RGB Sequence

Solution

显然是一道dpdpdp,我们发现直接维护当前状态有多少种颜色不好维护,因为颜色只有333种,所以可以直接记录每一种颜色最晚在哪里出现,令fi,j,k,lf_{i,j,k,l}fi,j,k,l表示前iii个里RRR最晚在jjjBBB最晚在kkkGGG最晚在lll

我们发现状态是O(n4)O(n^4)O(n4)的,但是显然有很多冗余状态,因为必然有一种颜色在iii,所以其中一维不用记录,直接用fi,j,kf_{i,j,k}fi,j,k表示前iii个中一种颜色在iii,一种在jjj,一种在kkk,看情况转移即可。

对于限制(l,r,x)(l,r,x)(l,r,x),只需要把不满足条件的fr,j,kf_{r,j,k}fr,j,k的值变为000即可。

时间复杂度O(n3+n2m)O(n^3+n^2m)O(n3+n2m)

Code

#include <vector>
#include <list>
#include <map>
#include <set>
#include <deque>
#include <queue>
#include <stack>
#include <bitset>
#include <algorithm>
#include <functional>
#include <numeric>
#include <utility>
#include <sstream>
#include <iostream>
#include <iomanip>
#include <cstdio>
#include <cmath>
#include <cstdlib>
#include <cctype>
#include <string>
#include <cstring>
#include <ctime>
#include <cassert>
#include <string.h>
//#include <unordered_set>
//#include <unordered_map>
//#include <bits/stdc++.h>

#define MP(A,B) make_pair(A,B)
#define PB(A) push_back(A)
#define SIZE(A) ((int)A.size())
#define LEN(A) ((int)A.length())
#define FOR(i,a,b) for(int i=(a);i<(b);++i)
#define fi first
#define se second

using namespace std;

template<typename T>inline bool upmin(T &x,T y) { return y<x?x=y,1:0; }
template<typename T>inline bool upmax(T &x,T y) { return x<y?x=y,1:0; }

typedef long long ll;
typedef unsigned long long ull;
typedef long double lod;
typedef pair<int,int> PR;
typedef vector<int> VI;

const lod eps=1e-11;
const lod pi=acos(-1);
const int oo=1<<30;
const ll loo=1ll<<62;
const int mods=1e9+7;
const int MAXN=600005;
const int INF=0x3f3f3f3f;//1061109567
/*--------------------------------------------------------------------*/
inline int read()
{
	int f=1,x=0; char c=getchar();
	while (c<'0'||c>'9') { if (c=='-') f=-1; c=getchar(); }
	while (c>='0'&&c<='9') { x=(x<<3)+(x<<1)+(c^48); c=getchar(); }
	return x*f;
}
vector<PR> V[MAXN];
int f[305][305][305];
int upd(int x,int y) { return x+y>=mods?x+y-mods:x+y; }
signed main()
{
	int n=read(),m=read();
	for (int i=1;i<=m;i++)
	{
		int l=read(),r=read(),x=read();
		V[r].PB(MP(l,x));
	}
	f[1][0][0]=3;
	for (int i=1;i<=n;i++)
		for (int j=0;j<i;j++)
			for (int k=0;k<i;k++) 
			{
				for (auto v:V[i]) 
					if ((i>=v.fi)+(j>=v.fi)+(k>=v.fi)!=v.se) f[i][j][k]=0;
				if (!f[i][j][k]) continue;
				f[i+1][j][k]=upd(f[i+1][j][k],f[i][j][k]);
				f[i+1][i][k]=upd(f[i+1][i][k],f[i][j][k]);
				f[i+1][j][i]=upd(f[i+1][j][i],f[i][j][k]);
			}
	int ans=0;
	for (int i=0;i<n;i++)
		for (int j=0;j<n;j++) ans=upd(ans,f[n][i][j]);
	printf("%d\n",ans);
	return 0;
}
import cv2 import numpy as np def is_approx_rect(contour, epsilon_factor=0.02): peri = cv2.arcLength(contour, True) approx = cv2.approxPolyDP(contour, epsilon_factor * peri, True) return (4 <= len(approx) <= 5 and cv2.isContourConvex(approx)), approx def calc_center(approx): M = cv2.moments(approx) if M["m00"] == 0: return None return int(M["m10"] / M["m00"]), int(M["m01"] / M["m00"]) def distance(p1, p2): return np.sqrt((p1[0]-p2[0])**2 + (p1[1]-p2[1])**2) def main(): cap = cv2.VideoCapture("222.mp4") if not cap.isOpened(): print("打开视频失败") return prev_center = None while True: ret, frame = cap.read() if not ret: break gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) _, binary = cv2.threshold(gray, 120, 255, cv2.THRESH_BINARY_INV) closed = cv2.morphologyEx(binary, cv2.MORPH_CLOSE, cv2.getStructuringElement(cv2.MORPH_RECT, (50, 50))) contours_data = cv2.findContours(closed, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) contours = contours_data[1] if len(contours_data) == 3 else contours_data[0] candidates = [] for cnt in contours: is_rect, approx = is_approx_rect(cnt) if is_rect: center = calc_center(approx) if center: candidates.append((approx, center, cv2.contourArea(approx))) if not candidates: selected = None elif prev_center is None: selected = max(candidates, key=lambda x: x[2]) else: candidates.sort(key=lambda x: distance(x[1], prev_center)) top_n = [candidates[0]] for c in candidates[1:]: if distance(c[1], prev_center) - distance(candidates[0][1], prev_center) < 50: top_n.append(c) else: break selected = max(top_n, key=lambda x: x[2]) display_frame 将上述代码改成适用于 openmv4 h7 plus 的代码要求给出完整代码
最新发布
08-03
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