1102. Invert a Binary Tree (25)

本文介绍了一种翻转二叉树的算法,并提供了两种不同的C++实现方式,包括层序遍历和非递归中序遍历的代码示例。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

1102. Invert a Binary Tree (25)
2017.9.9更新

#include <iostream>
#include <vector>
#include <queue>
#include <algorithm>
using namespace std;
struct TreeNode
{
    int left,right;
    TreeNode(int L=-1,int R=-1):left(L),right(R){}
};
bool root[10];
int n,cnt;
vector<TreeNode> tree;
void invert(int r)
{
    if(r!=-1)
    {
        swap(tree[r].left,tree[r].right);
        invert(tree[r].left);
        invert(tree[r].right);
    }
}
void levtra(int r)
{
    queue<int> q;
    q.push(r);
    while(!q.empty())
    {
        int s=q.front();
        ++cnt!=n?cout<<s<<" ":cout<<s<<endl;
        q.pop();
        if(tree[s].left!=-1)q.push(tree[s].left);
        if(tree[s].right!=-1)q.push(tree[s].right);
    }
}
void inotra(int r)
{
    if(r!=-1)
    {
        inotra(tree[r].left);
        ++cnt!=n?cout<<r<<" ":cout<<r<<endl;
        inotra(tree[r].right);
    }
}
int main()
{
    cin>>n;
    tree.reserve(n);
    for(int i=0;i<n;++i)
    {
        char lc,rc;
        cin>>lc>>rc;
        if(lc!='-') root[tree[i].left=lc-'0']=1;
        else tree[i].left=-1;
        if(rc!='-') root[tree[i].right=rc-'0']=1;
        else tree[i].right=-1;
    }
    int r=0;
    while(root[r])++r;
    invert(r);
    levtra(r);
    cnt=0;
    inotra(r);
    return 0;
}

以前的ac代码

#include <stdio.h>
struct tree//树节点
{
    int left,right;
}node[12];
int findroot[12];
int main()
{
    int n,i;
    scanf("%d",&n);
    getchar();
    for(i=0;i<n;++i)
    {
        char l,r;
        scanf("%c %c",&l,&r);
        getchar();
        node[i].left=(l=='-')?-1:l-'0',findroot[l-'0']=1;
        node[i].right=(r=='-')?-1:r-'0',findroot[r-'0']=1;
    }
    while(i>=0&&findroot[--i]);//找根
    int root=i;
    int queue[100],front=0,rear=0,s;
    queue[rear++]=root;
    while(front<rear)//层序遍历
    {
        s=queue[front++];
        if(node[s].right!=-1)
            queue[rear++]=node[s].right;
        if(node[s].left!=-1)
            queue[rear++]=node[s].left;
        front==rear?printf("%d\n",s):printf("%d ",s);
    }
    int stack[100],top=0,c=0;
    s=root;
    while(s!=-1||top)//非递归中序遍历
    {
        while(s!=-1)
        {
            stack[top++]=s;
            s=node[s].right;
        }
        if(top)
        {
            s=stack[--top];
            ++c;
            c==n?printf("%d",s):printf("%d ",s);
            s=node[s].left;
        }
    }
    return 0;
}

转载于:https://www.cnblogs.com/xLester/p/7570379.html

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
08-03
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值