226. Invert Binary Tree

本文介绍了一种翻转二叉树的算法实现,并通过具体的代码示例展示了如何使用递归方式来完成二叉树节点的左右子树互换过程。文章提供了完整的Python代码及运行结果。

226. Invert Binary Tree

Leetcode link for this question

Discription:

Invert a binary tree.

     4  
   /   \  
  2     7  
 / \   / \  
1   3 6   9  

to

         4  
       /   \  
      7     2  
     / \   / \  
    9   6 3   1  

Analyze:

Code 1:

    #Definition for a binary tree node.
    class TreeNode(object):
        def __init__(self, x):
            self.val = x
            self.left = None
            self.right = None


    #Generate a binary tree by a list ( like, [1,2,None,4,5,6,None,8,9,10,11,12] ) and return the root node.   
    def gen_Tree(val_list):
            if not val_list:
                return 
            root=TreeNode(val_list.pop(0))
            #print root.val
            le_list=[root]
            while val_list:
                tmp=le_list.pop(0)
                if val_list:
                    tmp.left=TreeNode(val_list.pop(0))
                    if tmp.left.val!=None:
                        le_list.append(tmp.left)
                if val_list:
                    tmp.right=TreeNode(val_list.pop(0))
                    if tmp.right.val!=None:
                        le_list.append(tmp.right)
                else:
                    return root
            return root


    # print the tree by level
    def show_Tree(root):
        def print_fun(le):
            for i in le:
                if i!=None:
                    print i.val,
                else:
                    print 'None',
            print ''
        cur_le=[root]
        next_le=[]
        print_fun(cur_le)
        while cur_le:        
            tmp=cur_le.pop(0)
            if tmp!=None:# and tmp.val!=None:
                if tmp.left:
                    next_le.append(tmp.left)
                else:
                    next_le.append(None)
                if tmp.right:
                    next_le.append(tmp.right)
                else:
                    next_le.append(None)
            if not cur_le:
                cur_le=next_le
                print_fun(cur_le)
                next_le=[]
                if not cur_le:
                    break            
        return

Solution code

    class Solution(object):
        def invertTree(self, root):
            """
            :type root: TreeNode
            :rtype: TreeNode
            """
            if root:
                root.right,root.left=root.left,root.right
                self.invertTree(root.left)
                self.invertTree(root.right)
            return root
    root=gen_Tree([1,2,None,4,5,6,None,8,9,10,11,12])
    show_Tree(root)
    1 
    2 None 
    4 5 None None 
    6 None 8 9 
    10 11 None None 12 None None None 
    None None None None None None 
    s=Solution()
    root=s.invertTree(root)
    show_Tree(root)
    1 
    None 2 
    None None 5 4 
    9 8 None 6 
    None None None 12 None None 11 10 
    None None None None None None 

Submission Result:

Status: Accepted
Runtime: 44 ms
Ranking: beats 79.29%

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
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
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