[开发工具]7、window11+MinGW32+Clion+FFmpeg使用

基本思想：使用mingw32编译ffmpeg,然后使用clion+mingw32进行 测试、学习、使用；

自己尝试编译了好多次，总是失败，从x86_64-8.1.0-release-posix-sjlj-rt_v6-rev0到msys2的ming64编译器编译，没成功过，。。。。。还是用人家的方法编译库吧，，脚本运行即可

首先要保证pc电脑上安装和配置了mingw32的环境?x86_64-8.1.0-release-posix-sjlj-rt_v6-rev0 一定要保证是sjlj支持x86和x86_64编译工具

18、window10+Clion2022+minGW编译opencv4.4.0+opencv_contrib4.4.0并测试_sxj731533730的博客-CSDN博客

第一步：去官网下载编译好的ffmpeg库https://github.com/BtbN/FFmpeg-Builds/releases，去下载静态包ffmpeg-master-latest-win64-lgpl-shared.zip，使用其提供的bat脚本编译也可以，我尝试了编译没有问题，也可以使用官方编译好的静态包导入对应的clion目录

测试msys2和x86_64-8.1.0-release-posix-sjlj-rt_v6-rev0 都是支持

?第二步：目录结构

cmakelists.txt内容

cmake_minimum_required(VERSION 3.16)
project(window11)
set(CMAKE_CXX_STANDARD 11)

include_directories(${CMAKE_SOURCE_DIR}/include)

set(OpenCV_DIR "D:\\Opencv455\\buildMinGW")#改为mingw-bulid的位置
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_SOURCE_DIR}/cmake/")

find_package(OpenCV REQUIRED)
set(OpenCV_LIBS opencv_core opencv_imgproc opencv_highgui opencv_imgcodecs)

add_library(libavformat STATIC IMPORTED)
set_target_properties(libavformat PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/lib/libavformat.dll.a)

add_library(libavdevice STATIC IMPORTED)
set_target_properties(libavdevice PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/lib/libavdevice.dll.a)


add_library(libavcodec STATIC IMPORTED)
set_target_properties(libavcodec PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/lib/libavcodec.dll.a)

add_library(libavfilter STATIC IMPORTED)
set_target_properties(libavfilter PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/lib/libavfilter.dll.a)

add_library(libavutil STATIC IMPORTED)
set_target_properties(libavutil PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/lib/libavutil.dll.a)

add_library(libswresample STATIC IMPORTED)
set_target_properties(libswresample PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/lib/libswresample.dll.a)
add_library(libswscale STATIC IMPORTED)
set_target_properties(libswscale PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/lib/libswscale.dll.a)
add_executable(window11 main.cpp )

target_link_libraries(window11 ${OpenCV_LIBS}
        libavformat
        libavdevice
        libavcodec
        libavfilter
        libavutil
        libswresample
        libswscale
        )

?测试代码，记得开启nginx流媒体服务5、Ubuntu下使用Clion调用ffmpeg测试开发环境_sxj731533730的博客-CSDN博客

#include <iostream>
#include <vector>
#include <opencv2/highgui.hpp>
#include <opencv2/video.hpp>
#include <opencv2/opencv.hpp>
extern "C"
{
#include <libavformat/avformat.h>
#include <libavcodec/avcodec.h>
#include <libavutil/imgutils.h>
#include <libswscale/swscale.h>
}
using namespace std;
using namespace cv;

int main() {
    const char* out_url = "rtmp://192.168.1.3:1935/live/livestream";

    // 注册所有网络协议
    avformat_network_init();
    // 输出的数据结构
    AVFrame* yuv = NULL;
    
    Mat frame;
    // 1.使用opencv 打开usb 摄像头
    VideoCapture video_ptr;
    video_ptr.open(0);

    if (!video_ptr.isOpened()) {
        cout << "camera open usb camera error" << endl;
        return -1;
    }

    cout << "open usb camera successful." << endl;

    int width = video_ptr.get(CAP_PROP_FRAME_WIDTH);
    int height = video_ptr.get(CAP_PROP_FRAME_HEIGHT);
    int fps = video_ptr.get(CAP_PROP_FPS);

    // 如果fps为0，这里就设置25。因为在fps=0时，调用avcodec_open2返回-22,
    // 参数不合法
    if (0 == fps) { fps = 25; }

    // 2.初始化格式转换上下文
    SwsContext* sws_context = NULL;
    sws_context = sws_getCachedContext(sws_context,
                                       width, height, AV_PIX_FMT_BGR24,    // 源格式
                                       width, height, AV_PIX_FMT_YUV420P,  // 目标格式
                                       SWS_BICUBIC,    // 尺寸变化使用算法
                                       0, 0, 0);

    if (NULL == sws_context) {
        cout << "sws_getCachedContext error" << endl;
        return -1;
    }



    // 3.初始化输出的数据结构
    yuv = av_frame_alloc();
    yuv->format = AV_PIX_FMT_YUV420P;
    yuv->width = width;
    yuv->height = height;
    yuv->pts = 0;

    // 分配yuv空间
    int ret_code = av_frame_get_buffer(yuv, 32);
    if (0 != ret_code) {
        cout << "  yuv init fail" << endl;
        return -1;
    }

    // 4.初始化编码上下文
    // 4.1找到编码器
    const AVCodec* codec = avcodec_find_encoder(AV_CODEC_ID_H264);
    if (NULL == codec) {
        cout << "Can't find h264 encoder." << endl;
        return -1;
    }

    // 4.2创建编码器上下文
    AVCodecContext* codec_context = avcodec_alloc_context3(codec);
    if (NULL == codec_context) {
        cout << "avcodec_alloc_context3 failed." << endl;
        return -1;
    }


    // 4.3配置编码器参数
    // vc->flags           |= AV_CODEC_FLAG_GLOBAL_HEADER;
    codec_context->codec_id = codec->id;
    codec_context->thread_count = 8;

    // 压缩后每秒视频的bit流 50k
    codec_context->bit_rate = 50 * 1024 * 8;
    codec_context->width = width;
    codec_context->height = height;
    codec_context->time_base = { 1, fps };
    codec_context->framerate = { fps, 1 };

    // 画面组的大小，多少帧一个关键帧
    codec_context->gop_size = 50;
    codec_context->max_b_frames = 0;
    codec_context->pix_fmt = AV_PIX_FMT_YUV420P;
    codec_context->qmin = 10;
    codec_context->qmax = 51;

    AVDictionary* codec_options = nullptr;
    //(baseline | high | high10 | high422 | high444 | main)
    av_dict_set(&codec_options, "profile", "baseline", 0);
    av_dict_set(&codec_options, "preset", "superfast", 0);
    av_dict_set(&codec_options, "tune", "zerolatency", 0);

    // 4.4打开编码器上下文
    ret_code = avcodec_open2(codec_context, codec, &codec_options);
    if (0 != ret_code) {

        return -1;
    }
    cout << "avcodec_open2 success!" << endl;

    // 5.输出封装器和视频流配置
    // 5.1创建输出封装器上下文
    // rtmp flv封装器
    AVFormatContext* format_context = nullptr;
    ret_code = avformat_alloc_output_context2(&format_context, 0, "flv", out_url);
    if (0 != ret_code) {

        return -1;
    }



    // 5.2添加视频流
    AVStream* vs = avformat_new_stream(format_context, NULL);
    if (NULL == vs) {
        cout << "avformat_new_stream failed." << endl;
        return -1;
    }

    vs->codecpar->codec_tag = 0;
    // 从编码器复制参数
    avcodec_parameters_from_context(vs->codecpar, codec_context);
    av_dump_format(format_context, 0, out_url, 1);

    // 打开rtmp 的网络输出IO
    ret_code = avio_open(&format_context->pb, out_url, AVIO_FLAG_WRITE);
    if (0 != ret_code) {
        cout << "avio_open failed." << endl;
        return -1;
    }

    // 写入封装头
    ret_code = avformat_write_header(format_context, NULL);
    if (0 != ret_code) {
        cout << "avformat_write_header failed." << endl;
        return -1;
    }

    AVPacket pack;
    memset(&pack, 0, sizeof(pack));
    int vpts = 0;
    uint8_t* in_data[AV_NUM_DATA_POINTERS] = { 0 };

    int in_size[AV_NUM_DATA_POINTERS] = { 0 };
    for (;;) {

        // 读取rtsp视频帧，解码视频帧
        video_ptr >> frame;
        // If the frame is empty, break immediately
        if (frame.empty()) break;

        imshow("video", frame);
        waitKey(1);

        // rgb to yuv
        in_data[0] = frame.data;
        // 一行（宽）数据的字节数
        in_size[0] = frame.cols * frame.elemSize();
        int h = sws_scale(sws_context, in_data, in_size, 0, frame.rows,
                          yuv->data, yuv->linesize);
        if (h <= 0) { continue; }

        // h264编码
        yuv->pts = vpts;
        vpts++;

        ret_code = avcodec_send_frame(codec_context, yuv);
        if (0 != ret_code) { continue; }

        ret_code = avcodec_receive_packet(codec_context, &pack);

        if (0 != ret_code || pack.buf !=nullptr) {//
            cout << "avcodec_receive_packet." << endl;
        }
        else {
            cout << "avcodec_receive_packet contiune." << endl;
            continue;
        }

        // 推流
        pack.pts = av_rescale_q(pack.pts, codec_context->time_base, vs->time_base);
        pack.dts = av_rescale_q(pack.dts, codec_context->time_base, vs->time_base);
        pack.duration = av_rescale_q(pack.duration,
                                     codec_context->time_base,
                                     vs->time_base);
        ret_code = av_interleaved_write_frame(format_context, &pack);
        if (0 != ret_code)
        {
            cout << "pack is error" << endl;
        }
        av_packet_unref(&pack);
        frame.release();
    }
    av_dict_free(&codec_options);
    avcodec_free_context(&codec_context);
    av_frame_free(&yuv);
    avio_close(format_context->pb);
    avformat_free_context(format_context);
    sws_freeContext(sws_context);
    video_ptr.release();


    destroyAllWindows();
    return 0;
}
 

测试还是相当友好

使ming64编译ffplay.exe的库拉流和使用官方的下载的生成ffplay.exe拉流都没有问题

结束

这样对于MinGW32编译器就相当友好了，目前支持ncnn 、mnn、 tnn、 tengine-lite 等深度学习框架，支持opencv、opencv-contrib、boost 、curl、nlohmann等库，支持头文件eigen 、rapidjson、spdlog等库，支持ffmpeg、vulkan、opencl等库，只用过这么多。。

参考

Releases · BtbN/FFmpeg-Builds · GitHub

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