226. Invert Binary Tree

本文介绍了两种实现翻转二叉树的方法:递归方法和迭代方法。递归方法通过交换左右子节点来翻转整个树;迭代方法则利用队列或栈进行层次遍历并交换每一层节点的左右子节点。

Invert a binary tree.

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

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

         递归。。 神奇。

class Solution {
public:
    TreeNode* invertTree(TreeNode* root) {
        if(root == NULL)
        return NULL;
        TreeNode* temp = root->left;
        root->left = invertTree(root->right);
        root->right = invertTree(temp);
        return root;
     }
};




         队列

class Solution {
public:
    TreeNode* invertTree(TreeNode* root) {
        if(root == NULL)
        return NULL;
        queue<TreeNode*> q;
        q.push(root);
        while(!q.empty())
        {
            int n = q.size();
            for(int i = 0; i < n; ++i)
            {
                TreeNode* p = q.front();
                TreeNode* temp = p->left;
                p->left = p->right;
                p->right = temp;
                q.pop();
                if(p->left)
                q.push(p->left);
                if(p->right)
                q.push(p->right);
            }
        }
        return root;
        
        
    }
};

stack


class Solution {
public:
    TreeNode* invertTree(TreeNode* root) {
        if(root == NULL)
        return NULL;
        stack<TreeNode*> s;
        s.push(root);
        while(!s.empty())
        {       
                TreeNode* p = s.top();
                s.pop();
                TreeNode* temp = p->left;
                p->left = p->right;
                p->right = temp;
                if(p->left)
                s.push(p->left);
                if(p->right)
                s.push(p->right);
            
        }
        return root;
        
        
    }
};


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
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08-03
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