FFmpeg/opencv + C++ 实现直播拉流和直播推流（对视频帧进行处理）

FFmpeg/opencv + C++ 实现直播拉流和直播推流（对视频帧进行处理）

本文主要使用C++ ffmpeg库实现对除去webrtc的视频流进行拉流，而后经过自身的处理，而后通过将处理后的视频帧进行编码，最后进行推流处理。详情请看代码

extern "C"
{
#include <libavcodec/avcodec.h>
#include <libavformat/avformat.h>
#include <libswscale/swscale.h>
#include <libavutil/error.h>
#include <libavutil/mem.h>
#include <libswscale/swscale.h>
#include <libavdevice/avdevice.h>
#include <libavutil/time.h>
}

#include <opencv2/imgproc/imgproc_c.h>
#include <opencv2/core/opengl.hpp>
#include <opencv2/cudacodec.hpp>
#include <opencv2/freetype.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>
#include <iostream>
#include <queue>
#include <string>
#include <vector>

/// Mat 转 AVFrame
AVFrame *CVMatToAVFrame(cv::Mat &inMat)
{
    //得到Mat信息
    AVPixelFormat dstFormat = AV_PIX_FMT_YUV420P;
    int width = inMat.cols;
    int height = inMat.rows;
    //创建AVFrame填充参数 注：调用者释放该frame
    AVFrame *frame = av_frame_alloc();
    frame->width = width;
    frame->height = height;
    frame->format = dstFormat;

    //初始化AVFrame内部空间
    int ret = av_frame_get_buffer(frame, 64);
    if (ret < 0)
    {
        return nullptr;
    }
    ret = av_frame_make_writable(frame);
    if (ret < 0)
    {
        return nullptr;
    }
    //转换颜色空间为YUV420
    cv::cvtColor(inMat, inMat, cv::COLOR_BGR2YUV_I420);

    //按YUV420格式，设置数据地址
    int frame_size = width * height;
    unsigned char *data = inMat.data;
    memcpy(frame->data[0], data, frame_size);
    memcpy(frame->data[1], data + frame_size, frame_size/4);
    memcpy(frame->data[2], data + frame_size * 5/4, frame_size/4);

    return frame;
}

void rtmpPush2(std::string inputUrl, std::string outputUrl){
    //  视频流下标
    int videoindex = -1;   
    // 注册相关服务，可以不用
    av_register_all();
    avformat_network_init();
    
    const char *inUrl = inputUrl.c_str();
    const char *outUrl = outputUrl.c_str();

    // 使用opencv解码
    VideoCapture capture;
    cv::Mat frame;
    // 像素转换上下文
    SwsContext *vsc = NULL;
    // 输出的数据结构
    AVFrame *yuv = NULL;
    // 输出编码器上下文
    AVCodecContext *outputVc = NULL;
    // rtmp flv 封装器
    AVFormatContext *output = NULL;

    // 定义描述输入、输出媒体流的构成和基本信息
    AVFormatContext *input_ctx = NULL;
    AVFormatContext * output_ctx = NULL;

    /// 1、加载视频流
    // 打开一个输入流并读取报头
    int ret = avformat_open_input(&input_ctx, inUrl, 0, NULL);
    if (ret < 0)
    {
        cout << "avformat_open_input failed!" << endl;
        return;
    }
    cout << "avformat_open_input success!" << endl;

    // 读取媒体文件的数据包以获取流信息
    ret = avformat_find_stream_info(input_ctx, 0);
    if (ret != 0)
    {
        return;
    }
    // 终端打印相关信息
    av_dump_format(input_ctx, 0, inUrl, 0);

    //如果是输入文件 flv可以不传，可以从文件中判断。如果是流则必须传
    ret = avformat_alloc_output_context2(&output_ctx, NULL, "flv", outUrl);
    if (ret < 0)
    {
        cout << "avformat_alloc_output_context2 failed!" << endl;
        return;
    }
    cout << "avformat_alloc_output_context2 success!" << endl;
    cout << "nb_streams: " << input_ctx->nb_streams << endl;

    unsigned int i;
    for (i = 0; i < input_ctx->nb_streams; i++)
    {
        AVStream *in_stream = input_ctx->streams[i];

        // 根据输入流创建输出流
        AVStream *out_stream = avformat_new_stream(output_ctx, in_stream->codec->codec);
        if (!out_stream)
        {
            cout << "Failed to successfully add audio and video stream" << endl;
            ret = AVERROR_UNKNOWN;
        }

        //将输入编解码器上下文信息 copy 给输出编解码器上下文
        ret = avcodec_parameters_copy(out_stream->codecpar, in_stream->codecpar);

        if (ret < 0)
        {
            printf("copy 编解码器上下文失败\n");
        }

        out_stream->codecpar->codec_tag = 0;
        out_stream->codec->codec_tag = 0;
        if (output_ctx->oformat->flags & AVFMT_GLOBALHEADER)
        {
            out_stream->codec->flags = out_stream->codec->flags | AV_CODEC_FLAG_GLOBAL_HEADER;
        }
    }

    //查找到当前输入流中的视频流，并记录视频流的索引
    for (i = 0; i < input_ctx->nb_streams; i++)
    {
        if (input_ctx->streams[i]->codec->codec_type == AVMEDIA_TYPE_VIDEO)
        {
            videoindex = i;
            break;
        }
    }
    //获取视频流中的编解码上下文
    AVCodecContext *pCodecCtx = input_ctx->streams[videoindex]->codec;
    //4.根据编解码上下文中的编码id查找对应的解码
    AVCodec *pCodec = avcodec_find_decoder(pCodecCtx->codec_id);
    // pCodec = avcodec_find_decoder_by_name("flv");
    if (pCodec == NULL)
    {
        std::cout << "找不到解码器" << std::endl;
        return;
    }

    //5.打开解码器
    if (avcodec_open2(pCodecCtx, pCodec,NULL)<0)
    {
        std::cout << "解码器无法打开" << std::endl;
        return;
    }
    //推流每一帧数据
    AVPacket pkt;
    //获取当前的时间戳  微妙
    long long start_time = av_gettime();
    long long frame_index = 0;
    int count = 0;
    int indexCount = 1;
    int numberAbs = 1;

    bool flag;
    int VideoCount = 0;
    std::queue<std::string> VideoList;

    /// 定义解码过程中相关参数
    AVFrame *pFrame = av_frame_alloc();
    int got_picture;
    int frame_count = 0;
    AVFrame* pFrameYUV = av_frame_alloc();
    uint8_t *out_buffer;
    out_buffer = new uint8_t[avpicture_get_size(AV_PIX_FMT_BGR24, pCodecCtx->width, pCodecCtx->height)];
    avpicture_fill((AVPicture *)pFrameYUV, out_buffer, AV_PIX_FMT_BGR24, pCodecCtx->width, pCodecCtx->height);

    try{

        /// opencv 解码
//        capture.open(inUrl);
//        while (!capture.isOpened()){
//            capture.open(inUrl);
//            std::cout << "直播地址无法打开" << endl;
//        }
//        int inWidth = capture.get(CAP_PROP_FRAME_WIDTH);
//        int inHeight = capture.get(CAP_PROP_FRAME_HEIGHT);
//        int fps = capture.get(CAP_PROP_FPS);

        /// TODO: ffmpeg 解码
        /// 2 初始化格式转换上下文
        vsc = sws_getCachedContext(vsc,
                                   pCodecCtx->width, pCodecCtx->height, AV_PIX_FMT_RGB24,   // 源宽、高、像素格式
                                   pCodecCtx->width, pCodecCtx->height, AV_PIX_FMT_YUV420P, // 目标宽、高、像素格式
                                   SWS_BICUBIC,                           // 尺寸变化使用算法
                                   0, 0, 0);
        if (!vsc)
        {
            throw logic_error("sws_getCachedContext failed!"); // 转换失败
        }

        /// 3 初始化输出的数据结构
        yuv = av_frame_alloc();
        yuv->format = AV_PIX_FMT_YUV420P;
        yuv->width = pCodecCtx->width;
        yuv->height = pCodecCtx->height;
        yuv->pts = 0;
        // 分配yuv空间
        int ret = av_frame_get_buffer(yuv, 32);
        if (ret != 0)
        {
            char buf[1024] = {0};
            av_strerror(ret, buf, sizeof(buf) - 1);
            throw logic_error(buf);
        }

        /// 4 初始化编码上下文
        // a 找到编码器
        AVCodec *codec = avcodec_find_encoder(AV_CODEC_ID_H264);
        if (!codec)
        {
            throw logic_error("Can`t find h264 encoder!"); // 找不到264编码器
        }
        // b 创建编码器上下文
        outputVc = avcodec_alloc_context3(codec);
        if (!outputVc)
        {
            throw logic_error("avcodec_alloc_context3 failed!"); // 创建编码器失败
        }
        // c 配置编码器参数
        outputVc->flags |= AV_CODEC_FLAG_GLOBAL_HEADER; // 全局参数
        outputVc->codec_id = codec->id;
        outputVc->thread_count = 8;

        outputVc->bit_rate = 50 * 1024 * 8; // 压缩后每秒视频的bit位大小为50kb
        outputVc->width = pCodecCtx->width;
        outputVc->height = pCodecCtx->height;
        outputVc->time_base = {1, pCodecCtx->time_base.den};
        outputVc->framerate = {pCodecCtx->time_base.den, 1};

        /// TODO 以下参数可以控制直播画质和清晰度
        // 画面组的大小，多少帧一个关键帧
        outputVc->gop_size = 30;
        outputVc->max_b_frames = 1;
        outputVc->qmax = 51;
        outputVc->qmin = 10;
        outputVc->pix_fmt = AV_PIX_FMT_YUV420P;
        // d 打开编码器上下文
        ret = avcodec_open2(outputVc, 0, 0);
        if (ret != 0)
        {
            char buf[1024] = {0};
            av_strerror(ret, buf, sizeof(buf) - 1);
            throw logic_error(buf);
        }

        cout << "avcodec_open2 success!" << endl;

        /// 5 输出封装器和视频流配置
        // a 创建输出封装器上下文
        ret = avformat_alloc_output_context2(&output, 0, "flv", outUrl);
        if (ret != 0)
        {
            char buf[1024] = {0};
            av_strerror(ret, buf, sizeof(buf) - 1);
            throw logic_error(buf);
        }
        // b 添加视频流
        AVStream *vs = avformat_new_stream(output, codec);
        if (!vs)
        {
            throw logic_error("avformat_new_stream failed");
        }
        vs->codecpar->codec_tag = 0;
        // 从编码器复制参数
        avcodec_parameters_from_context(vs->codecpar, outputVc);
        av_dump_format(output, 0, outUrl, 1);

        // 写入封装头
        ret = avio_open(&output->pb, outUrl, AVIO_FLAG_WRITE);
        ret = avformat_write_header(output, NULL);
        if (ret != 0)
        {
            cout << "ret:" << ret << endl;
            char buf[1024] = {0};
            av_strerror(ret, buf, sizeof(buf) - 1);
            throw logic_error(buf);
        }

        AVPacket pack;
        memset(&pack, 0, sizeof(pack));
        int vpts = 0;
        bool imgFrameFlag = false;
        int timeCount = 0;
        while (1)
        {
            /// 读取rtsp视频帧（opencv 读取方式， 如使用opencv方式、则不需要前期的针对输入流的相关处理）
            /*
            if (!capture.grab()) {
                continue;
            }
            /// yuv转换为rgb
            if (!capture.retrieve(frame))
            {
                continue;
            }
            if (frame.empty()){
                capture.open(inUrl);
                while (!capture.isOpened()){
                    capture.open(inUrl);
                    std::cout << "直播地址无法打开" << endl;
                }
                imgFrameFlag = true;
            }
            if (imgFrameFlag){
                imgFrameFlag = false;
                continue;
            }
            */
            
            ret = av_read_frame(input_ctx, &pkt);
            if (ret < 0)
            {
                continue;
            }
            //延时
            if (pkt.stream_index == videoindex) {
                /// TODO: 获取frame
                //7.解码一帧视频压缩数据，得到视频像素数据
                auto start = std::chrono::system_clock::now();
                ret = avcodec_decode_video2(pCodecCtx, pFrame, &got_picture, &pkt);
                auto end = std::chrono::system_clock::now();
                // cout << "The run time is: " <<(double)(endTime - startTime) / CLOCKS_PER_SEC << "s" << endl;
                // cout << "Detection time of old version is: " <<std::chrono::duration_cast<std::chrono::milliseconds>(end - start).count() << "ms" << endl;
                if (ret < 0) {
                    cout << ret << endl;
                    std::cout << "解码错误" << std::endl;
                    av_frame_free(&yuv);
                    av_free_packet(&pack);
                    continue;
                }
                //为0说明解码完成，非0正在解码
                if (got_picture) {
                    SwsContext *img_convert_ctx;
                    img_convert_ctx = sws_getContext(pCodecCtx->width, pCodecCtx->height, pCodecCtx->pix_fmt,
                                                     pCodecCtx->width, pCodecCtx->height, AV_PIX_FMT_BGR24, SWS_BICUBIC,
                                                     NULL, NULL, NULL);
                    sws_scale(img_convert_ctx, (const uint8_t *const *) pFrame->data, pFrame->linesize, 0,
                              pCodecCtx->height, pFrameYUV->data, pFrameYUV->linesize);
                    frame_count++;
                    cv::Mat img;
                    img = cv::Mat(pCodecCtx->height, pCodecCtx->width, CV_8UC3);
                    img.data = pFrameYUV->data[0];

                    /// TODO: 图像处理模块
                    /*
                    此处可根据需要进行相关处理，往视频叠加元素、视频检测
                    */
          
                   /// rgb to yuv
                    yuv = CVMatToAVFrame(img);
                    /// h264编码
                    yuv->pts = vpts;
                    vpts++;
                    ret = avcodec_send_frame(outputVc, yuv);
                    av_frame_free(&yuv);
                    if (ret != 0){
                        av_frame_free(&yuv);
                        av_free_packet(&pack);
                        continue;
                    }


                    ret = avcodec_receive_packet(outputVc, &pack);
                    if (ret != 0 || pack.size > 0) {}
                    else {
                        av_frame_free(&yuv);
                        av_free_packet(&pack);
                        continue;
                    }
                    int firstFrame = 0;
                    if (pack.dts < 0 || pack.pts < 0 || pack.dts > pack.pts || firstFrame) {
                        firstFrame = 0;
                        pack.dts = pack.pts = pack.duration = 0;
                    }
                    
                    // 推流
                    pack.pts = av_rescale_q(pack.pts, outputVc->time_base, vs->time_base); // 显示时间
                    pack.dts = av_rescale_q(pack.dts, outputVc->time_base, vs->time_base); // 解码时间
                    pack.duration = av_rescale_q(pack.duration, outputVc->time_base, vs->time_base); // 数据时长

                    ret = av_interleaved_write_frame(output, &pack);
                    if (ret < 0)
                    {
                        printf("发送数据包出错\n");
                        av_frame_free(&yuv);
                        av_free_packet(&pack);
                        continue;
                    }
                    av_frame_free(&yuv);
                    av_free_packet(&pack);
                }
            }
        }
    }catch (exception e){
        if (vsc)
        {
            sws_freeContext(vsc);
            vsc = NULL;
        }

        if (outputVc)
        {
            avio_closep(&output->pb);
            avcodec_free_context(&outputVc);
        }

        cerr << e.what() << endl;
    }
}

int main() {
    av_log_set_level(AV_LOG_TRACE);
    rtmpPush2("rtmp://39.170.104.236:28081/live/456","rtmp://39.170.104.237:28081/live/dj/1ZNBJ7C00C009X");
    }

参考链接：
https://blog.csdn.net/weixin_45807901/article/details/129086344
https://blog.csdn.net/T__zxt/article/details/126827167文章来源地址https://www.toymoban.com/news/detail-594163.html

到了这里，关于FFmpeg/opencv + C++ 实现直播拉流和直播推流（对视频帧进行处理）的文章就介绍完了。如果您还想了解更多内容，请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章，希望大家以后多多支持TOY模板网！