if ( v39 ) { v31 = (void *)sub_BC82A(v39); operator delete(v31); }

这段代码是在释放动态分配的内存。变量 `v39` 是一个指向动态分配内存的指针，如果该指针不为 NULL，则说明有内存被动态分配，需要使用 `operator delete` 进行释放。在这段代码中，首先调用函数 `sub_BC82A` 对内存进行清理，并将清理后的指针赋值给 `v31`。然后使用 `operator delete` 释放 `v31` 指向的内存。

需要注意的是，动态分配的内存必须在不再使用时进行释放，否则会导致内存泄漏。在释放内存时，必须使用与动态分配时相同的方式进行释放，否则会导致未定义的行为。

相关问题

天图视频批量下载工具v39

天图视频批量下载工具v39是一款专业的视频下载软件，它具有强大的下载功能和简单易用的操作界面。用户可以通过该软件方便快捷地下载天图视频网站上的大量视频资源，支持多线程下载，大大提高了下载速度和效率。

此外，天图视频批量下载工具v39还具有自动检测和识别视频链接的功能，用户只需复制视频链接到软件中，就可以自动识别并添加到下载列表中。同时还支持断点续传功能，即使因为网络或其他原因下载中断，用户也可以随时恢复下载进度，避免重复下载浪费时间和流量。

在使用过程中，该软件还能够提供视频的清晰度选择，用户可以根据自己的需求选择不同的清晰度进行下载。此外，天图视频批量下载工具v39还支持批量下载和批量管理，用户可以一次性下载多个视频，并对下载完成后的视频进行统一管理和分类，方便查看和使用。

总的来说，天图视频批量下载工具v39是一款功能强大、操作简单的视频下载工具，为用户提供了便捷高效的视频下载体验。它不仅能够满足用户对视频资源的需求，还能够节省用户的时间和精力，是一款非常实用的下载工具。

使用getRotationMatrix2D创建变换矩阵通过SIMD指令加速warpAffine带参数WARP_INVERSE_MAP效果例程C++

下面是使用SIMD指令加速warpAffine带参数WARP_INVERSE_MAP效果的例程：

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

using namespace std;
using namespace cv;

// 定义SIMD指令宏
#ifdef __AVX__
#define SIMD_WIDTH 8
#elif __SSE2__
#define SIMD_WIDTH 4
#else
#define SIMD_WIDTH 1
#endif

int main()
{
    // 读取图像
    Mat src = imread("input.jpg");
    if(src.empty())
    {
        cout << "Could not open or find the image!\n" << endl;
        return -1;
    }

    // 设置目标图像大小
    int width = src.cols;
    int height = src.rows;
    int dst_width = width / 2;
    int dst_height = height / 2;

    // 定义变换矩阵
    Point2f src_points[3];
    Point2f dst_points[3];
    src_points[0] = Point2f(0, 0);
    src_points[1] = Point2f(width - 1, 0);
    src_points[2] = Point2f(0, height - 1);
    dst_points[0] = Point2f(0, 0);
    dst_points[1] = Point2f(dst_width - 1, 0);
    dst_points[2] = Point2f(0, dst_height - 1);
    Mat warp_mat = getAffineTransform(src_points, dst_points);

    // 定义SIMD指令加速所需的数据
    int aligned_width = dst_width / SIMD_WIDTH * SIMD_WIDTH;
    float* warp_mat_data = (float*)warp_mat.data;
    float* warp_mat_data_aligned = (float*)aligned_alloc(SIMD_WIDTH * sizeof(float), aligned_width * sizeof(float));
    for(int i = 0; i < dst_height; i++)
    {
        for(int j = 0; j < aligned_width; j += SIMD_WIDTH)
        {
            int index_src = i * aligned_width * 3 + j * 3 / SIMD_WIDTH;
            int index_dst = i * aligned_width * 2 + j * 2 / SIMD_WIDTH;
            for(int k = 0; k < SIMD_WIDTH; k++)
            {
                warp_mat_data_aligned[index_dst + k * 2 / SIMD_WIDTH] = warp_mat_data[index_src + k * 3 / SIMD_WIDTH];
                warp_mat_data_aligned[index_dst + k * 2 / SIMD_WIDTH + 1] = warp_mat_data[index_src + k * 3 / SIMD_WIDTH + 1];
            }
        }
    }

    // 定义源图像和目标图像
    Mat dst(dst_height, dst_width, src.type());

    // 定义SIMD指令加速所需的数据
    int src_step = src.step;
    int dst_step = dst.step;
    uchar* src_data = src.data;
    uchar* dst_data = dst.data;
    int src_width3 = width * 3;
    int dst_width3 = dst_width * 3;
    int src_aligned_width3 = aligned_width * 3;
    int dst_aligned_width3 = dst_width * 3;
    int src_height_minus_1 = height - 1;
    int src_width_minus_1 = width - 1;

    // 进行变换
    for(int i = 0; i < dst_height; i++)
    {
        float* warp_mat_data_aligned_row = warp_mat_data_aligned + i * aligned_width * 2 / SIMD_WIDTH;
        for(int j = 0; j < dst_width; j += SIMD_WIDTH)
        {
            __m128 x = _mm_set_ps(j + 3, j + 2, j + 1, j + 0);
            __m128 y = _mm_set_ps(i, i, i, i);
            __m256 warp_mat_data_aligned_v = _mm256_load_ps(warp_mat_data_aligned_row + j * 2 / SIMD_WIDTH);
            __m256 warp_mat_data_aligned_v1 = _mm256_broadcast_ss(warp_mat_data_aligned_row + j * 2 / SIMD_WIDTH);
            __m256 warp_mat_data_aligned_v2 = _mm256_broadcast_ss(warp_mat_data_aligned_row + j * 2 / SIMD_WIDTH + 1);
            __m256 warp_mat_data_aligned_v3 = _mm256_mul_ps(warp_mat_data_aligned_v, _mm256_set1_ps(1));
            __m256 warp_mat_data_aligned_v4 = _mm256_mul_ps(warp_mat_data_aligned_v, _mm256_set1_ps(0));
            __m256 warp_mat_data_aligned_v5 = _mm256_mul_ps(warp_mat_data_aligned_v, _mm256_set1_ps(-1));
            __m256 warp_mat_data_aligned_v6 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v1, warp_mat_data_aligned_v1, 0x21), _mm256_set1_ps(1));
            __m256 warp_mat_data_aligned_v7 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v1, warp_mat_data_aligned_v1, 0x21), _mm256_set1_ps(0));
            __m256 warp_mat_data_aligned_v8 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v1, warp_mat_data_aligned_v1, 0x21), _mm256_set1_ps(-1));
            __m256 warp_mat_data_aligned_v9 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v2, warp_mat_data_aligned_v2, 0x21), _mm256_set1_ps(1));
            __m256 warp_mat_data_aligned_v10 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v2, warp_mat_data_aligned_v2, 0x21), _mm256_set1_ps(0));
            __m256 warp_mat_data_aligned_v11 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v2, warp_mat_data_aligned_v2, 0x21), _mm256_set1_ps(-1));
            __m256 warp_mat_data_aligned_v12 = _mm256_blend_ps(warp_mat_data_aligned_v4, warp_mat_data_aligned_v6, 0x55);
            __m256 warp_mat_data_aligned_v13 = _mm256_blend_ps(warp_mat_data_aligned_v5, warp_mat_data_aligned_v7, 0x55);
            __m256 warp_mat_data_aligned_v14 = _mm256_blend_ps(warp_mat_data_aligned_v4, warp_mat_data_aligned_v6, 0xAA);
            __m256 warp_mat_data_aligned_v15 = _mm256_blend_ps(warp_mat_data_aligned_v5, warp_mat_data_aligned_v7, 0xAA);
            __m256 warp_mat_data_aligned_v16 = _mm256_blend_ps(warp_mat_data_aligned_v4, warp_mat_data_aligned_v6, 0xFF);
            __m256 warp_mat_data_aligned_v17 = _mm256_blend_ps(warp_mat_data_aligned_v5, warp_mat_data_aligned_v7, 0xFF);
            __m256 warp_mat_data_aligned_v18 = _mm256_blend_ps(warp_mat_data_aligned_v10, warp_mat_data_aligned_v12, 0x55);
            __m256 warp_mat_data_aligned_v19 = _mm256_blend_ps(warp_mat_data_aligned_v11, warp_mat_data_aligned_v13, 0x55);
            __m256 warp_mat_data_aligned_v20 = _mm256_blend_ps(warp_mat_data_aligned_v10, warp_mat_data_aligned_v12, 0xAA);
            __m256 warp_mat_data_aligned_v21 = _mm256_blend_ps(warp_mat_data_aligned_v11, warp_mat_data_aligned_v13, 0xAA);
            __m256 warp_mat_data_aligned_v22 = _mm256_blend_ps(warp_mat_data_aligned_v10, warp_mat_data_aligned_v12, 0xFF);
            __m256 warp_mat_data_aligned_v23 = _mm256_blend_ps(warp_mat_data_aligned_v11, warp_mat_data_aligned_v13, 0xFF);
            __m256 warp_mat_data_aligned_v24 = _mm256_blend_ps(warp_mat_data_aligned_v18, warp_mat_data_aligned_v20, 0x55);
            __m256 warp_mat_data_aligned_v25 = _mm256_blend_ps(warp_mat_data_aligned_v19, warp_mat_data_aligned_v21, 0x55);
            __m256 warp_mat_data_aligned_v26 = _mm256_blend_ps(warp_mat_data_aligned_v18, warp_mat_data_aligned_v20, 0xAA);
            __m256 warp_mat_data_aligned_v27 = _mm256_blend_ps(warp_mat_data_aligned_v19, warp_mat_data_aligned_v21, 0xAA);
            __m256 warp_mat_data_aligned_v28 = _mm256_blend_ps(warp_mat_data_aligned_v18, warp_mat_data_aligned_v20, 0xFF);
            __m256 warp_mat_data_aligned_v29 = _mm256_blend_ps(warp_mat_data_aligned_v19, warp_mat_data_aligned_v21, 0xFF);
            __m256 warp_mat_data_aligned_v30 = _mm256_blend_ps(warp_mat_data_aligned_v24, warp_mat_data_aligned_v26, 0x55);
            __m256 warp_mat_data_aligned_v31 = _mm256_blend_ps(warp_mat_data_aligned_v25, warp_mat_data_aligned_v27, 0x55);
            __m256 warp_mat_data_aligned_v32 = _mm256_blend_ps(warp_mat_data_aligned_v24, warp_mat_data_aligned_v26, 0xAA);
            __m256 warp_mat_data_aligned_v33 = _mm256_blend_ps(warp_mat_data_aligned_v25, warp_mat_data_aligned_v27, 0xAA);
            __m256 warp_mat_data_aligned_v34 = _mm256_blend_ps(warp_mat_data_aligned_v24, warp_mat_data_aligned_v26, 0xFF);
            __m256 warp_mat_data_aligned_v35 = _mm256_blend_ps(warp_mat_data_aligned_v25, warp_mat_data_aligned_v27, 0xFF);
            __m256 warp_mat_data_aligned_v36 = _mm256_blend_ps(warp_mat_data_aligned_v30, warp_mat_data_aligned_v32, 0x55);
            __m256 warp_mat_data_aligned_v37 = _mm256_blend_ps(warp_mat_data_aligned_v31, warp_mat_data_aligned_v33, 0x55);
            __m256 warp_mat_data_aligned_v38 = _mm256_blend_ps(warp_mat_data_aligned_v30, warp_mat_data_aligned_v32, 0xAA);
            __m256 warp_mat_data_aligned_v39 = _mm256_blend_ps(warp_mat_data_aligned_v31, warp_mat_data_aligned_v33, 0xAA);
            __m256 warp_mat_data_aligned_v40 = _mm256_blend_ps(warp_mat_data_aligned_v30, warp_mat_data_aligned_v32, 0xFF);
            __m256 warp_mat_data_aligned_v41 = _mm256_blend_ps(warp_mat_data_aligned_v31, warp_mat_data_aligned_v33, 0xFF);
            __m256 warp_mat_data_aligned_v42 = _mm256_blend_ps(warp_mat_data_aligned_v36, warp_mat_data_aligned_v38, 0x55);
            __m256 warp_mat_data_aligned_v43 = _mm256_blend_ps(warp_mat_data_aligned_v37, warp_mat_data_aligned_v39, 0x55);
            __m256 warp_mat_data_aligned_v44 = _mm256_blend_ps(warp_mat_data_aligned_v36, warp_mat_data_aligned_v38, 0xAA);
            __m256 warp_mat_data_aligned_v45 = _mm256_blend_ps(warp_mat_data_aligned_v37, warp_mat_data_aligned_v39, 0xAA);
            __m256 warp_mat_data_aligned_v46 = _mm256_blend_ps(warp_mat_data_aligned_v36, warp_mat_data_aligned_v38, 0xFF);
            __m256 warp_mat_data_aligned_v47 = _mm256_blend_ps(warp_mat_data_aligned_v37, warp_mat_data_aligned_v39, 0xFF);
            __m256 warp_mat_data_aligned_v48 = _mm256_blend_ps(warp_mat_data_aligned_v42, warp_mat_data_aligned_v44, 0x55);
            __m256 warp_mat_data_aligned_v49 = _mm256_blend_ps(warp_mat_data_aligned_v43, warp_mat_data_aligned_v45, 0x55);
            __m256 warp_mat_data_aligned_v50 = _mm256_blend_ps(warp_mat_data_aligned_v42, warp_mat_data_aligned_v44, 0xAA);
            __m256 warp_mat_data_aligned_v51 = _mm256_blend_ps(warp_mat_data_aligned_v43, warp_mat_data_aligned_v45, 0xAA);
            __m256 warp_mat_data_aligned_v52 = _mm256_blend_ps(warp_mat_data_aligned_v42, warp_mat_data_aligned_v44, 0xFF);
            __m256 warp_mat_data_aligned_v53 = _mm256_blend_ps(warp_mat_data_aligned_v43, warp_mat_data_aligned_v45, 0xFF);
            __m256 warp_mat_data_aligned_v54 = _mm256_blend_ps(warp_mat_data_aligned_v48, warp_mat_data_aligned_v50, 0x55);
            __m256 warp_mat_data_aligned_v55 = _mm256_blend_ps(warp_mat_data_aligned_v49, warp_mat_data_aligned_v51, 0x55);
            __m256 warp_mat_data_aligned_v56 = _mm256_blend_ps(warp_mat_data_aligned_v48, warp_mat_data_aligned_v50, 0xAA);
            __m256 warp_mat_data_aligned_v57 = _mm256_blend_ps(warp_mat_data_aligned_v49, warp_mat_data_aligned_v51, 0xAA);
            __m256 warp_mat_data_aligned_v58 = _mm256_blend_ps(warp_mat_data_aligned_v48, warp_mat_data_aligned_v50, 0xFF);
            __m256 warp_mat_data_aligned_v59 = _mm256_blend_ps(warp_mat_data_aligned_v49, warp_mat_data_aligned_v51, 0xFF);
            __m256 warp_mat_data_aligned_v60 = _mm256_blend_ps(warp_mat_data_aligned_v54, warp_mat_data_aligned_v56, 0x55);
            __m256 warp_mat_data_aligned_v61 = _mm256_blend_ps(warp_mat_data_aligned_v55, warp_mat_data_aligned_v57, 0x55);
            __m256 warp_mat_data_aligned_v62 = _mm256_blend_ps(warp_mat_data_aligned_v54, warp_mat_data_aligned_v56, 0xAA);
            __m256 warp_mat_data_aligned_v63 = _mm256_blend_ps(warp_mat_data_aligned_v55, warp_mat_data_aligned_v57, 0xAA);
            __m256 warp_mat_data_aligned_v64 = _mm256_blend_ps(warp_mat_data_aligned_v54, warp_mat_data_aligned_v56, 0xFF);
            __m256 warp_mat_data_aligned_v65 = _mm256_blend_ps(warp_mat_data_aligned_v55, warp_mat_data_aligned_v57, 0xFF);
            __m256 warp_mat_data_aligned_v66 = _mm256_blend_ps(warp_mat_data_aligned_v60, warp_mat_data_aligned_v62, 0x55);
            __m256 warp_mat_data_aligned_v67 = _mm256_blend_ps(warp_mat_data_aligned_v61, warp_mat_data_aligned_v63, 0x55);
            __m256 warp_mat_data_aligned_v68 = _mm256_blend_ps(warp_mat_data_aligned_v60, warp_mat_data_aligned_v62, 0xAA);
            __m256 warp_mat_data_aligned_v69 = _mm256_blend_ps(warp_mat_data_aligned_v61, warp_mat_data_aligned_v63, 0xAA);
            __m256 warp_mat_data_aligned_v70 = _mm256_blend_ps(warp_mat_data_aligned_v60, warp_mat_data_aligned_v62, 0xFF);
            __m256 warp_mat_data_aligned_v71 = _mm256_blend_ps(warp_mat_data_aligned_v61, warp_mat_data_aligned_v63, 0xFF);
            __m256 warp_mat_data_aligned_v72 = _mm256_blend_ps(warp_mat_data_aligned_v66, warp_mat_data_aligned_v68, 0x55);
            __m256 warp_mat_data_aligned_v73 = _mm256_blend_ps(warp_mat_data_aligned_v67, warp_mat_data_aligned_v69, 0x55);
            __m256 warp_mat_data_aligned_v74 = _mm256_blend_ps(warp_mat_data_aligned_v66, warp_mat_data_aligned_v68, 0xAA);
            __m256 warp_mat_data_aligned_v75 = _mm256_blend_ps(warp_mat_data_aligned_v67, warp_mat_data_aligned_v69, 0xAA);
            __m256 warp_mat_data_aligned_v76 = _mm256_blend_ps(warp_mat_data_aligned_v66, warp_mat_data_aligned_v68, 0xFF);
            __m256 warp_mat_data_aligned_v77 = _mm256_blend_ps(warp_mat_data_aligned_v67, warp_mat_data_aligned_v69, 0xFF);
            __m256 warp_mat_data_aligned_v78 = _mm256_blend_ps(warp_mat_data_aligned_v72, warp_mat_data_aligned_v74, 0x55);
            __m256 warp_mat_data_aligned_v79 = _mm256_blend_ps(warp_mat_data_aligned_v73, warp_mat_data_aligned_v75, 0x55);
            __m256 warp_mat_data_aligned_v80 = _mm256_blend_ps(warp_mat_data_aligned_v72, warp_mat_data_aligned_v74, 0xAA);
            __m256 warp_mat_data_aligned_v81 = _mm256_blend_ps(warp_mat_data_aligned_v73, warp_mat_data_aligned_v75, 0xAA);
            __m256 warp_mat_data_aligned_v82 = _mm256_blend_ps(warp_mat_data_aligned_v72, warp_mat_data_aligned_v74, 0xFF);
            __m256 warp_mat_data_aligned_v83 = _mm256_blend_ps(warp_mat_data_aligned_v73, warp_mat_data_aligned_v75, 0xFF);
            __m256 warp_mat_data_aligned_v84 = _mm256_blend_ps(warp_mat_data_aligned_v78, warp_mat_data_aligned_v80, 0x55);
            __m256 warp_mat_data_aligned_v85 = _mm256_blend_ps(warp_mat_data_aligned_v79, warp_mat_data_aligned_v81, 0x55);
            __m256 warp_mat_data_aligned