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...
【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...
Re: ffmpeg h264_v4l2m2m "VIDIOC_STREAMON failed on output context" Sun Aug 07, 2022 7:15 am 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...
/usr/lib/jellyfin-ffmpeg/ffmpeg -i file:"/data/movies/input.mp4" -map_metadata -1 -map_chapters -1 -threads 0 -map 0:0 -map 0:1 -map -0:s -codec:v:0 h264_v4l2m2m -pix_fmt nv21 -b:v 9990684 -maxrate 9990684 -bufsize 19981368 -level 41 -force_key_frames:0 "expr:gte(t,...
社区同时也提供了两套接口，一个是V4L2，一个是M2M。安卓上面也有它自己的mediacodec，不同的硬件厂商...
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;...
adpcm_sbpro_4 h264_crystalhd mxpeg txd adpcm_swf h264_cuvid nellymoser ulti adpcm_thp h264_mediacodec nuv utvideo adpcm_thp_le h264_mmal on2avc v210 adpcm_vima h264_qsv opus v210x adpcm_xa h264_rkmpp paf_audio v308 adpcm_yamaha h264_v4l2m2m paf_video v408 ...
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...