使用ffmepg实现多路视频流合并

2024-08-29 05:58

本文主要是介绍使用ffmepg实现多路视频流合并,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

做视频会议系统的时候,有时需要实现多路视频画面合并后推流功能,要直接底层实现这样的功能还是不太容易的,如果借助ffmpeg就方便多了,使用ffmpeg的滤镜功能就能实现多路合并的效果。

首先说明需要用到的ffmpeg对象,以及一些必要的字段。

ffmpeg版本:

version 4.3

所用到的头文件:

#include <libavutil/avassert.h>
#include <libavutil/opt.h>
#include <libavfilter/avfilter.h>

需要的数据结构如下:

每一条输入流需要如下的字段

typedef struct Stream{int x;int y;int width;int height;int format;//参考AVPixelFormatAVFilterContext* buffersrc_ctx;AVFilter* buffersrc;AVFilterInOut* output;AVFrame* inputFrame;
} Stream;

输出流需要如下字段

typedef struct Merge {AVFilterGraph* filter_graph;AVFilterContext* buffersink_ctx;AVFilter* buffersink;AVFilterInOut* input;const char* filters_descr;AVFrame* outputFrame;unsigned char* outputBuffer;int outputWidth;int outputHeight;int outputFormat;//参考AVPixelFormatStream *streams[128];int streamCount;
} Merge;

主要流程如下:

1、构造输出流及输入流

构造输出流,输出流需要设置分辨率以及输出的像素格式

Merge* Merge_Create(int outputWidth, int outputHeight, int outputFormat) {Merge* merge = malloc(sizeof(Merge));memset(merge, 0, sizeof(Merge));merge->outputWidth = outputWidth;merge->outputHeight = outputHeight;merge->outputFormat = outputFormat;return merge;
}

添加输入流,输入流需要设置在输出流中的位置和大小,以及输入流像素格式 

Stream* Merge_AddStream(Merge* merge, int x, int y, int width, int height, int format) {Stream* stream = malloc(sizeof(Stream));memset(merge, 0, sizeof(Stream));stream->x = x;stream->y = y;stream->width = width;stream->height = height;stream->format = format;merge->streams[merge->streamCount++] = stream;return stream;
}

2、初始化滤镜

主要用到的滤镜是filters_descr = "[in0]pad=1280:640:0:0:black[x0];[x0][in1]overlay=640:0[x1];[x1][in2]overlay=600:0[x2];[x2]null[out]";

//初始化Merge
int Merge_Init(Merge* merge) {char args[512];char name[8];char* filters_descr = NULL;int ret;//avfilter_register_all();//旧版可能用到此行merge->buffersink = avfilter_get_by_name("buffersink");av_assert0(merge->buffersink);merge->input = avfilter_inout_alloc();if (merge->input == NULL){printf("alloc inout  fail\n");goto fail;}merge->filter_graph = avfilter_graph_alloc();if (merge->input == NULL){printf("alloc graph  fail\n");goto fail;}ret = avfilter_graph_create_filter(&merge->buffersink_ctx, merge->buffersink, "out", NULL, NULL, merge->filter_graph);if (ret < 0){printf("graph create  fail\n");goto fail;}merge->input->name = av_strdup("out");merge->input->filter_ctx = merge->buffersink_ctx;merge->input->pad_idx = 0;merge->input->next = NULL;merge->outputFrame = av_frame_alloc();if (merge->outputFrame == NULL){printf("alloc frame  fail\n");goto fail;}merge->outputBuffer = (unsigned char*)av_malloc(av_image_get_buffer_size(merge->outputFormat, merge->outputWidth, merge->outputHeight, 1));if (merge->outputBuffer == NULL){printf("alloc buffer  fail\n");goto fail;}enum AVPixelFormat pix_fmts[2] = { 0, AV_PIX_FMT_NONE };pix_fmts[0] = merge->outputFormat;ret = av_opt_set_int_list(merge->buffersink_ctx, "pix_fmts", pix_fmts, AV_PIX_FMT_NONE, AV_OPT_SEARCH_CHILDREN);if (ret < 0) {printf("set opt fail\n");goto fail;}Stream** streams = merge->streams;for (int i = 0; i < merge->streamCount; i++){streams[i]->buffersrc = avfilter_get_by_name("buffer");av_assert0(streams[i]->buffersrc);snprintf(args, sizeof(args), "video_size=%dx%d:pix_fmt=%d:time_base=%d/%d:pixel_aspect=%d/%d", streams[i]->width, streams[i]->height, streams[i]->format, 1, 90000, 1, 1);snprintf(name, sizeof(name), "in%d", i);ret = avfilter_graph_create_filter(&streams[i]->buffersrc_ctx, streams[i]->buffersrc, name, args, NULL, merge->filter_graph);if (ret < 0){printf("stream graph create fail\n");goto fail;}streams[i]->output = avfilter_inout_alloc();streams[i]->output->name = av_strdup(name);streams[i]->output->filter_ctx = streams[i]->buffersrc_ctx;streams[i]->output->pad_idx = 0;streams[i]->output->next = NULL;streams[i]->inputFrame = av_frame_alloc();if (streams[i]->inputFrame == NULL){printf("alloc frame  fail\n");goto fail;}streams[i]->inputFrame->format = streams[i]->format;streams[i]->inputFrame->width = streams[i]->width;streams[i]->inputFrame->height = streams[i]->height;if (i > 0){streams[i - 1]->output->next = streams[i]->output;}}/*filters_descr = "[in0]pad=1280:640:0:0:black[x0];[x0][in1]overlay=640:0[x1];[x1][in2]overlay=600:0[x2];[x2]null[out]";*/filters_descr = malloc(sizeof(char) * merge->streamCount * 128);if (filters_descr == NULL){printf("alloc string  fail\n");goto fail;}char sigle_descr[128];snprintf(sigle_descr, sizeof(sigle_descr), "[in0]pad=%d:%d:%d:%d:black[x0];", merge->outputWidth, merge->outputHeight, streams[0]->x, streams[0]->y);strcpy(filters_descr, sigle_descr);int i = 1;for (; i < merge->streamCount; i++){snprintf(sigle_descr, sizeof(sigle_descr), "[x%d][in%d]overlay=%d:%d[x%d];", i - 1, i, streams[i]->x, streams[i]->y, i);strcat(filters_descr, sigle_descr);}snprintf(sigle_descr, sizeof(sigle_descr), "[x%d]null[out]", i - 1);strcat(filters_descr, sigle_descr);ret = avfilter_graph_parse_ptr(merge->filter_graph, filters_descr, &merge->input, &streams[0]->output, NULL);if (ret < 0){printf("graph parse fail\n");goto fail;}// 过滤配置初始化ret = avfilter_graph_config(merge->filter_graph, NULL);if (ret < 0){printf("graph config fail\n");goto fail;}if (filters_descr != NULL)free(filters_descr);return 0;
fail:if (filters_descr != NULL)free(filters_descr);Merge_Deinit(merge); //执行反初始化return -1;
}

3、写输入流

void Merge_WriteStream(Merge* merge, Stream* stream, const unsigned char* buffer, int timestamp) {av_image_fill_arrays(stream->inputFrame->data, stream->inputFrame->linesize, buffer, stream->format, stream->width, stream->height, 1);stream->inputFrame->pts = timestamp;if (av_buffersrc_write_frame(stream->buffersrc_ctx, stream->inputFrame) < 0) {printf("Error while add frame.\n");}
}

4、合并流

调用下列方法,即可得到合并后的一帧的数据。可以按照一定帧率调用3、4方法。

const unsigned char* Merge_Merge(Merge* merge) {int	ret = av_buffersink_get_frame(merge->buffersink_ctx, merge->outputFrame);if (ret < 0) {printf("Error while get frame.\n");return NULL;}av_image_copy_to_buffer(merge->outputBuffer,av_image_get_buffer_size(merge->outputFormat, merge->outputWidth, merge->outputHeight, 1),merge->outputFrame->data, merge->outputFrame->linesize, merge->outputFrame->format, merge->outputFrame->width, merge->outputFrame->height, 1);av_frame_unref(merge->outputFrame);return  merge->outputBuffer;
}

5、结束,反初始化,销毁对象

static void Merge_Deinit(Merge* merge)
{if (merge->input != NULL)avfilter_inout_free(&merge->input);if (merge->filter_graph != NULL)avfilter_graph_free(&merge->filter_graph);if (merge->outputFrame != NULL)av_frame_free(&merge->outputFrame);if (merge->outputBuffer != NULL)av_free(merge->outputBuffer);for (int i = 0; i < merge->streamCount; i++){Stream* stream = merge->streams[i]; if (stream->inputFrame != NULL)av_frame_free(&stream->inputFrame);free(stream);}merge->streamCount = 0;
}
void Merge_Destroy(Merge* merge) {Merge_Deinit(merge);free(merge);
}

调用流程示例:

int main() {int flag = 1;Merge* merge = Merge_Create(1920, 1080, 0);Stream* stream1 = Merge_AddStream(merge, 0, 0, 960, 540, 0);Stream* stream2 = Merge_AddStream(merge, 960, 540, 960, 540, 0);Stream* stream3 = Merge_AddStream(merge, 0, 540, 960, 540, 0);if (Merge_Init(merge) != 0){Merge_Destroy(merge);return -1;}while (flag){clock_t time = clock();unsigned char* buffer1;unsigned char* buffer2;unsigned char* buffer3;//获取每路流的数据...//获取每路流的数据-endMerge_WriteStream(merge, stream1, buffer1, time);Merge_WriteStream(merge, stream2, buffer2, time);Merge_WriteStream(merge, stream3, buffer3, time);unsigned char* mergedBuffer = Merge_Merge(merge);//显示或编码推流...//显示或编码推流-end}Merge_Destroy(merge);
}

需要注意的是上述方法最好在单线程中使用,多线程使用可能需要另外做修改,或者参考:

https://download.csdn.net/download/u013113678/32899063

效果如下

这篇关于使用ffmepg实现多路视频流合并的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!



http://www.chinasem.cn/article/1117038

相关文章

postgresql使用UUID函数的方法

《postgresql使用UUID函数的方法》本文给大家介绍postgresql使用UUID函数的方法,本文给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友参考下吧... 目录PostgreSQL有两种生成uuid的方法。可以先通过sql查看是否已安装扩展函数,和可以安装的扩展函数

Python实现终端清屏的几种方式详解

《Python实现终端清屏的几种方式详解》在使用Python进行终端交互式编程时,我们经常需要清空当前终端屏幕的内容,本文为大家整理了几种常见的实现方法,有需要的小伙伴可以参考下... 目录方法一:使用 `os` 模块调用系统命令方法二:使用 `subprocess` 模块执行命令方法三:打印多个换行符模拟

SpringBoot+EasyPOI轻松实现Excel和Word导出PDF

《SpringBoot+EasyPOI轻松实现Excel和Word导出PDF》在企业级开发中,将Excel和Word文档导出为PDF是常见需求,本文将结合​​EasyPOI和​​Aspose系列工具实... 目录一、环境准备与依赖配置1.1 方案选型1.2 依赖配置(商业库方案)二、Excel 导出 PDF

Python实现MQTT通信的示例代码

《Python实现MQTT通信的示例代码》本文主要介绍了Python实现MQTT通信的示例代码,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一... 目录1. 安装paho-mqtt库‌2. 搭建MQTT代理服务器(Broker)‌‌3. pytho

如何使用Lombok进行spring 注入

《如何使用Lombok进行spring注入》本文介绍如何用Lombok简化Spring注入,推荐优先使用setter注入,通过注解自动生成getter/setter及构造器,减少冗余代码,提升开发效... Lombok为了开发环境简化代码,好处不用多说。spring 注入方式为2种,构造器注入和setter

MySQL中比较运算符的具体使用

《MySQL中比较运算符的具体使用》本文介绍了SQL中常用的符号类型和非符号类型运算符,符号类型运算符包括等于(=)、安全等于(=)、不等于(/!=)、大小比较(,=,,=)等,感兴趣的可以了解一下... 目录符号类型运算符1. 等于运算符=2. 安全等于运算符<=>3. 不等于运算符<>或!=4. 小于运

使用zip4j实现Java中的ZIP文件加密压缩的操作方法

《使用zip4j实现Java中的ZIP文件加密压缩的操作方法》本文介绍如何通过Maven集成zip4j1.3.2库创建带密码保护的ZIP文件,涵盖依赖配置、代码示例及加密原理,确保数据安全性,感兴趣的... 目录1. zip4j库介绍和版本1.1 zip4j库概述1.2 zip4j的版本演变1.3 zip4

Python 字典 (Dictionary)使用详解

《Python字典(Dictionary)使用详解》字典是python中最重要,最常用的数据结构之一,它提供了高效的键值对存储和查找能力,:本文主要介绍Python字典(Dictionary)... 目录字典1.基本特性2.创建字典3.访问元素4.修改字典5.删除元素6.字典遍历7.字典的高级特性默认字典

使用Python构建一个高效的日志处理系统

《使用Python构建一个高效的日志处理系统》这篇文章主要为大家详细讲解了如何使用Python开发一个专业的日志分析工具,能够自动化处理、分析和可视化各类日志文件,大幅提升运维效率,需要的可以了解下... 目录环境准备工具功能概述完整代码实现代码深度解析1. 类设计与初始化2. 日志解析核心逻辑3. 文件处

python生成随机唯一id的几种实现方法

《python生成随机唯一id的几种实现方法》在Python中生成随机唯一ID有多种方法,根据不同的需求场景可以选择最适合的方案,文中通过示例代码介绍的非常详细,需要的朋友们下面随着小编来一起学习学习... 目录方法 1:使用 UUID 模块(推荐)方法 2:使用 Secrets 模块(安全敏感场景)方法