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• lavc/h263dsp : R-V V {h,v}_loop_filter

  19 mai 2024, par Rémi Denis-Courmont

  lavc/h263dsp : R-V V h,v_loop_filter
  Since the horizontal and vertical filters are identical except for a
  
  transposition, this uses a common subprocedure with an ad-hoc ABI.
  
  To preserve return-address stack prediction, a link register has to be
  
  used (c.f. the "Control Transfer Instructions" from the
  
  RISC-V ISA Manual). The alternate/temporary link register T0 is used
  
  here, so that the normal RA is preserved (something Arm cannot do !).
  To load the strength value based on `qscale`, the shortest possible
  
  and PIC-compatible sequence is used : AUIPC ; ADD ; LBU. The classic
  
  LLA ; ADD ; LBU sequence would add one more instruction since LLA is a
  
  convenience alias for AUIPC ; ADDI. To ensure that this trick works,
  
  relocation relaxation is disabled.
  To implement the two signed divisions by a power of two toward zero :
  
   (x / (1 << SHIFT))
  
  the code relies on the small range of integers involved, computing :
  
   (x + (x >> (16 - SHIFT))) >> SHIFT
  
  rather than the more general :
  
   (x + ((x >> (16 - 1)) & ((1 << SHIFT) - 1))) >> SHIFT
  
  Thus one ANDI instruction is avoided.
  T-Head C908 :
  
  h263dsp.h_loop_filter_c :       228.2
  
  h263dsp.h_loop_filter_rvv_i32 : 144.0
  
  h263dsp.v_loop_filter_c :       242.7
  
  h263dsp.v_loop_filter_rvv_i32 : 114.0
  
  (C is probably worse in real use due to less predictible branches.)
  

  • [DH] libavcodec/h263dsp.c
  • [DH] libavcodec/h263dsp.h
  • [DH] libavcodec/riscv/Makefile
  • [DH] libavcodec/riscv/h263dsp_init.c
  • [DH] libavcodec/riscv/h263dsp_rvv.S

• Nginx RTMP Pull to HLS Streaming

  5 avril 2023, par Nathaniel Anderson

  I've followed this guide on setting up RTMP to HLS streaming - https://web.archive.org/web/20221205201139/https://docs.peer5.com/guides/setting-up-hls-live-streaming-server-using-nginx/

  


  RTMP streaming works just fine but for some reason I can't get HLS to link with the already existing RTMP server. I'm using OBS to stream to RTMP and it's set to be on x264 and as far as I know the default codec for audio is AAC so I'm not sure why it's not picking it up.

  


  Current Nginx.conf

  


  worker_processes  auto;
events {
    worker_connections  1024;
}

# RTMP configuration
rtmp {
    server {
        listen 1935; # Listen on standard RTMP port
        chunk_size 4000;

# Define the Application
        application show {
            live on;
            pull rtmp://localhost:1935/stream/test;
            # Turn on HLS
            hls on;
            hls_path /mnt/hls/;
            hls_fragment 3;
            hls_playlist_length 60;
            # disable consuming the stream from nginx as rtmp
            deny play all;
        }

        # RTMP video on demand for mp4 files
        application vod {
            play /mnt/mp4s;
        }

        # RTMP stream using OBS
        application stream {
            live on;
        }

    }
}

http {
    sendfile off;
    tcp_nopush on;
    aio on;
    directio 512;
    default_type application/octet-stream;

    server {
        listen 8080;

        location / {
            # Disable cache
            add_header 'Cache-Control' 'no-cache';

            # CORS setup
            add_header 'Access-Control-Allow-Origin' '*' always;
            add_header 'Access-Control-Expose-Headers' 'Content-Length';

            # allow CORS preflight requests
            if ($request_method = 'OPTIONS') {
                add_header 'Access-Control-Allow-Origin' '*';
                add_header 'Access-Control-Max-Age' 1728000;
                add_header 'Content-Type' 'text/plain charset=UTF-8';
                add_header 'Content-Length' 0;
                return 204;
            }

            types {
                application/dash+xml mpd;
                application/vnd.apple.mpegurl m3u8;
                video/mp2t ts;
            }

            root /mnt/;
        }
    }
}


  


  I've tried changing the rtmp link I have in that config too to both internal and external IP's since it can be reached. I tested watching the rtmp from another computer on the network to confirm it was functional. I wanted to avoid transcoding with ffmpeg since the server doesn't have that kind of power.

  


• FFMPEG Video from images to mp4 in nvidia GPU

  16 août 2019, par M.y

  I am trying to encode a h264 .mp4 video created from .jpg images using a 1070ti nvidia cuda power, having a a crossfade transition between each image.
  I am able to render the video in GPU using the flags -c:v h264_nvenc, I see a short peak in the GPU encoding, but with a long period of computer CPU hight load, I guess preparing the transitioning images. But the image preparation it happens on cpu/ram due the -filter_complex and is quite slow.
  This works :

  ffmpeg.exe, -y, 
  
  -loop, 1, -t, 2.5, -i, 1565957420594_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565957453659_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565957487743_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565957525280_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565957587308_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565957644898_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565957859119_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i,1565959133561_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565959412948_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565959501884_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565959755432_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565959882380_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565960023185_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565960157174_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565960683303_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565961151548_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565961230278_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, 1565961671766_labeled.jpg, 
  
  -loop, 1, -t, 2.5, -i, final.jpg, 
  
  -loop, 1, -t, 2.5, -i, final.jpg, 
  
  -c:v, h264_nvenc, -preset, fast, 
  
  -filter_complex, [1]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+0.5/TB[f0];
  
  [2]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+1.0/TB[f1];
  
  [3]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+1.5/TB[f2];
  
  [4]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+2.0/TB[f3];
  
  [5]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+2.5/TB[f4];
  
  [6]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+3.0/TB[f5];
  
  [7]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+3.5/TB[f6];
  
  [8]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+4.0/TB[f7];
  
  [9]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+4.5/TB[f8];
  
  [10]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+5.0/TB[f9];
  
  [11]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+5.5/TB[f10];
  
  [12]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+6.0/TB[f11];
  
  [13]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+6.5/TB[f12];
  
  [14]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+7.0/TB[f13];
  
  [15]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+7.5/TB[f14];
  
  [16]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+8.0/TB[f15];
  
  [17]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+8.5/TB[f16];
  
  [18]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+9.0/TB[f17];
  
  [19]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+9.5/TB[f18];
  
  [0][f0]overlay[bg1];
  
  [bg1][f1]overlay[bg2];
  
  [bg2][f2]overlay[bg3];
  
  [bg3][f3]overlay[bg4];
  
  [bg4][f4]overlay[bg5];
  
  [bg5][f5]overlay[bg6];
  
  [bg6][f6]overlay[bg7];
  
  [bg7][f7]overlay[bg8];
  
  [bg8][f8]overlay[bg9];
  
  [bg9][f9]overlay[bg10];
  
  [bg10][f10]overlay[bg11];
  
  [bg11][f11]overlay[bg12];
  
  [bg12][f12]overlay[bg13];
  
  [bg13][f13]overlay[bg14];
  
  [bg14][f14]overlay[bg15];
  
  [bg15][f15]overlay[bg16];
  
  [bg16][f16]overlay[bg17];
  
  [bg17][f17]overlay[bg18];
  
  [bg18][f18]overlay[v], 
  
  -map, [v], -movflags, +faststart, output.mp4

  I am trying to do all work in the GPU, theoretically I can encode all images in GPU memory using in each -i the flags "-hwaccel cuvid -c:v mjpeg_cuvid" I receive the following error :

  [mjpeg_cuvid @ 00000000024ef980] ignoring invalid SAR: 0/0
  
  Impossible to convert between the formats supported by the filter 'graph 0 input from stream 1:0' and the filter 'auto_scaler_0'
  
  Error reinitializing filters!
  
  Failed to inject frame into filter network: Function not implemented
  
  Error while processing the decoded data for stream #0:0

  Is there a way to load images in the GPU with the "fade" flag applied ?

  Thanks in advance !