我们在FFmpeg简单总结对FFmpeg 组成模块,编码进行了简单介绍。
FFmpeg组成部分:
libavcodec: 提供了音视频编解码器的库。
libavformat: 处理多媒体容器格式的库,包括封装和解封装。
libavutil: 包含一些公共的实用工具函数。
libswscale: 提供图像缩放和颜色转换功能的库。
libavfilter: 实现音视频过滤器的库,用于进行各种音视频处理操作。
ffmpeg: 命令行工具,用于进行音视频处理和转码。
ffprobe: 用于检测多媒体文件信息的命令行工具。
ffplay: 简单的播放器,支持音视频播放。
libswscale
libswscale(Software Scaling and Conversion Library)是FFmpeg中的一个库,用于执行图像缩放、颜色空间转换以及图像格式转换等操作。它主要提供了一些函数和工具,使得在视频处理过程中可以方便地进行图像大小和颜色空间的调整。
常用的API介绍
sws_getContext: 创建并返回一个SwsContext对象,用于设置缩放和颜色空间转换的参数。
struct SwsContext *sws_getContext(int srcW, int srcH, enum AVPixelFormat srcFormat,int dstW, int dstH, enum AVPixelFormat dstFormat,int flags, SwsFilter *srcFilter,SwsFilter *dstFilter, const double *param);
sws_scale: 将输入图像进行缩放和颜色空间转换,并将结果输出到目标图像。
int sws_scale(struct SwsContext *c, const uint8_t *const srcSlice[],const int srcStride[], int srcSliceY, int srcSliceH,uint8_t *const dst[], const int dstStride[]);
sws_freeContext: 释放SwsContext对象占用的资源。
void sws_freeContext(struct SwsContext *swsContext);
灰度化
下面给出一个例子,使用FFmpeg对图像进行处理,该程序解码视频流,选取视频流中的输入图片,进行灰度化处理,然后保存为新的图片
#include #include #include #include #include #include void process_image(const char *input_filename, const char *output_filename) {AVFormatContext *input_format_context = NULL;AVCodecContext *codec_context = NULL;AVCodec *codec = NULL;AVFrame *frame = NULL;AVFrame *gray_frame = NULL;AVPacket packet;struct SwsContext *sws_context = NULL;// Register FFmpeg componentsav_register_all();// Open input fileif (avformat_open_input(&input_format_context, input_filename, NULL, NULL) != 0) {fprintf(stderr, "Error opening input file\n");exit(EXIT_FAILURE);}// Retrieve stream informationif (avformat_find_stream_info(input_format_context, NULL) < 0) {fprintf(stderr, "Error finding stream information\n");exit(EXIT_FAILURE);}// Find the first video streamint video_stream_index = -1;for (int i = 0; i < input_format_context->nb_streams; i++) {if (input_format_context->streams[i]->codecpar->codec_type == AVMEDIA_TYPE_VIDEO) {video_stream_index = i;break;}}if (video_stream_index == -1) {fprintf(stderr, "Error: No video stream found\n");exit(EXIT_FAILURE);}// Find the decoder for the video streamcodec = avcodec_find_decoder(input_format_context->streams[video_stream_index]->codecpar->codec_id);if (!codec) {fprintf(stderr, "Error: No decoder found\n");exit(EXIT_FAILURE);}// Allocate a codec context for the decodercodec_context = avcodec_alloc_context3(codec);if (!codec_context) {fprintf(stderr, "Error allocating codec context\n");exit(EXIT_FAILURE);}// Copy codec parameters from input stream to codec contextif (avcodec_parameters_to_context(codec_context, input_format_context->streams[video_stream_index]->codecpar) < 0) {fprintf(stderr, "Error setting codec parameters\n");exit(EXIT_FAILURE);}// Open codecif (avcodec_open2(codec_context, codec, NULL) < 0) {fprintf(stderr, "Error opening codec\n");exit(EXIT_FAILURE);}// Allocate video framesframe = av_frame_alloc();gray_frame = av_frame_alloc();if (!frame || !gray_frame) {fprintf(stderr, "Error allocating frames\n");exit(EXIT_FAILURE);}// Determine required buffer size and allocate bufferint num_bytes = av_image_get_buffer_size(AV_PIX_FMT_GRAY8, codec_context->width, codec_context->height, 1);uint8_t *buffer = (uint8_t *)av_malloc(num_bytes * sizeof(uint8_t));// Assign appropriate parts of buffer to image planes in gray_frameav_image_fill_arrays(gray_frame->data, gray_frame->linesize, buffer, AV_PIX_FMT_GRAY8, codec_context->width, codec_context->height, 1);// Initialize SwsContext for converting between color spacessws_context = sws_getContext(codec_context->width, codec_context->height, codec_context->pix_fmt,codec_context->width, codec_context->height, AV_PIX_FMT_GRAY8,SWS_BILINEAR, NULL, NULL, NULL);// Open output fileFILE *output_file = fopen(output_filename, "wb");if (!output_file) {fprintf(stderr, "Error opening output file\n");exit(EXIT_FAILURE);}// Read frames from the input file, convert to grayscale, and write to the output filewhile (av_read_frame(input_format_context, &packet) == 0) {if (packet.stream_index == video_stream_index) {// Decode video frameif (avcodec_receive_frame(codec_context, frame) == 0) {// Convert frame to grayscalesws_scale(sws_context, frame->data, frame->linesize, 0, frame->height, gray_frame->data, gray_frame->linesize);// Write grayscale frame to output filefwrite(gray_frame->data[0], 1, num_bytes, output_file);}}av_packet_unref(&packet);}// Cleanupfclose(output_file);av_frame_free(&frame);av_frame_free(&gray_frame);av_free(buffer);sws_freeContext(sws_context);avcodec_close(codec_context);avformat_close_input(&input_format_context);}int main() {const char *input_filename = "input.jpg";const char *output_filename = "output.gray";process_image(input_filename, output_filename);return 0;}
放大缩小
也可以直接用接口函数,对image操作
#include #include #include #include int main() {// Input image parametersint src_width = 1920;int src_height = 1080;enum AVPixelFormat src_format = AV_PIX_FMT_RGB24;// Output image parametersint dst_width = 640;int dst_height = 360;enum AVPixelFormat dst_format = AV_PIX_FMT_YUV420P;// Allocate source and destination buffersuint8_t *src_data[4];int src_linesize[4];uint8_t *dst_data[4];int dst_linesize[4];// Initialize SwsContextstruct SwsContext *sws_context = sws_getContext(src_width, src_height, src_format,dst_width, dst_height, dst_format,SWS_BILINEAR, NULL, NULL, NULL);// Perform scaling and color space conversionsws_scale(sws_context, src_data, src_linesize, 0, src_height,dst_data, dst_linesize);// Free resourcessws_freeContext(sws_context);return 0;}