yiling-chen

int majorityElement(vector<int>& nums) {
    unordered_map<int, int> counter;

    for (auto num : nums) {
        if (counter.count(num))
            counter[num] += 1;
        else
            counter[num] = 1;
    }

yiling-chen

struct TreeNode {
    int val;
    TreeNode *left;
    TreeNode *right;
    TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
};

class Codec {
public:

yiling-chen

#include <opencv2/dnn.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/core/utils/trace.hpp>
using namespace cv;
using namespace cv::dnn;
#include <fstream>
#include <iostream>
#include <cstdlib>
using namespace std;

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
    This simple script generates the high/low ranked image list from the AVA dataset.
    It also copies/resizes the source images to a specified folder.
    This script is assumed to be placed in AVA_ROOT with a folder name 'images', which contains all the source images.
    Make sure you alter the hard-coded path before using this script.
'''

yiling-chen

#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
    A simple script to download the images specified in the AVA dataset from dpchallenge.
    This script is assumed to be placed in AVA_ROOT which contains a folder named 'images'.
'''


import os
import urllib2

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#include <cmath>
#include <iostream>
#include <opencv2/opencv.hpp>

using namespace cv;

int main(int argc, const char * argv[]) {
    Mat img = imread("lillestromfisheye.jpg");
    
    // assume the source image is square, and its width has even number of pixels

yiling-chen

#include <string>
#include <iostream>
#include <boost/filesystem.hpp>
#include <boost/algorithm/string.hpp>

using namespace boost::filesystem;
using std::endl;
using std::cout;
using std::cerr;

yiling-chen

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

int main(int argc, char *argv[]) {

	Mat m = Mat::ones(5,5, CV_8UC1);
	cout << m << endl << endl;

yiling-chen

//==================================================================================
// Description : Use libcurl to get a remote image file and render by OpenCV
//    Based on the example from http://curl.haxx.se/libcurl/c/getinmemory.html
//==================================================================================

#include <stdio.h>
#include <stdlib.h>
#include <curl/curl.h>

#include <opencv2/opencv.hpp>