this is a problem with the h264_v4l2m2m encoder as the SAME exact command works fine when the encoder is switched to libx264. Also, specifying additional parameters such as width, height and bitrate get rid of those specific errors, but the root "Encoder requires yuv420p pixel format" err...
i see now that makes sense. it was the caption that increased the resolution just enough that made it fail. i also tried scaling the output to less than 1080p width and it also worked. does that mean h264_v4l2m2m is only limited to level 4? could it do level 5 somehow or is that...
第一种我们把它称为- native open-source codec,最典型的例子是h264的decoder。对于encoder,很多是以第三方库的形式进入FFmpeg,比如libx264,libmp3lame ,libfdk_aac, libvpx等等,添加一个新codec到里面的过程非常的简单,基本上只需要注册上图的结构体。AVCodec和AVCodecContext的构成和前面的AVFormat非常类似,也是实现...
【Atlas500】入门(十六)——ffmpeg 264编码 [h264_v4l2m2m @ 0xaaaac8aa5220] Could not find a valid device 参考:javascript:void(0) 好像是没有x264这个包 1. 说明 项目:FaceRecognition 项目原始采用的是mpeg编码器(好像ffmpeg自带的),用rtsp进行推流。这里要推流成rtmp。要求用h264的编码。 2. x264,f...
ffmpeg -i sample_1920x1080.mp4 -c:v libx264 -b:v 8M -c:a copy sample_1920x1080_test.mp4 -VIDEO WORKS Here's the output from the h264_v4l2m2 encoder: ffmpeg -i sample_1920x1080.mp4 -c:v h264_v4l2m2m -b:v 8M -c:a copy sample_1920x1080_test.mp4 ffmpeg version 4.3.4-0+...
没有洁癖的可以参考作者上一篇文章: aarch64 系统 编译最新的ffmpeg 并支持硬解h264 编译出来的文件是静态的, 也就是无需安装任何依赖就可以运行在aarch64系统上 支持h264_v4l2m2m的GPU硬解输出, CPU占用极低, 解码速度也很快. 如果使用同样的参数用CPU解码, 4核CPU均在40%~60%左右, 而v4l2m2m只需要1核的...
使用h264_v4l2m2m解码器全部代码如下: int video_codec_init(struct mmplay_t *play) { int ret; AVCodecContext *avcodec_ctx = avcodec_alloc_context3(NULL); if (!avcodec_ctx) { u_tm_log("Err:avcodec_alloc_context3()\n"); ret = -1; ...
("h264_v4l2m2m");if(!pCodecH264){printf("h264 codec not found\n");return-1;}codec_ctx=avcodec_alloc_context3(pCodecH264);if(!codec_ctx){printf("Could not allocate video codec context\n");return-1;}//设置解码的参数/* 设置分辨率*/codec_ctx->width=width;codec_ctx->height=height...
--disable-v4l2-m2m禁用V4L2 mem2mem代码[autodetect] --disable-vaapi禁用视频加速API(主要是Unix / Intel)代码[autodetect] --disable-vdpau禁用Nvidia Video Decode和Presentation API for Unix code [autodetect] --disable-videotoolbox禁用VideoToolbox代码[autodetect] ...
D.V.L. vp9 Google VP9 (decoders: vp9 vp9_v4l2m2m vp9_cuvid ) 所有带有"cuvid"或"nvenc"的,都是CUDA提供的GPU编解码器可以看到,我们现在可以进行 h264 / hevc / mjpeg / mpeg1 / mpeg2 / mpeg4 / vc1 / vp8 / vp9格式的GPU解码,以及h264 / hevc格式的GPU编码。接着我们就可以用-hwaccel参数...