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• ffmpeg images list (text file) to video with overlay watermark

  27 mai 2021, par haseeb

  I have 250 images / day of 4000*3000 pixels in a text file.

  


  file '/home/user/camdata/nonseqdata.jpg'
file '/home/user/camdata/strangedata.jpg'


  


  i created mp4 video with this command

  


  ffmpeg -y -f concat -safe 0 -i ecam.001_20210525.txt -c:v libx264 -vf "scale=1280:720,fps=25,format=yuv420p" out.mp4


  


  Now i need to add watermark to video.(in same command)
closest example i found on web, trying to modify that and use in my case is like..

  


  ffmpeg -r 25 -f image2 -s 1280x720 -i ecam.001_20210525.txt -i wm.png -filter_complex "[0:v][1:v] overlay=0:0" -vcodec libx264 -crf 25  -pix_fmt yuv420p test_overlay.mp4
OR
ffmpeg -r 25 -f concat -safe 0 -s 1280x720 -i ecam.001_20210525.txt -i wm.png -filter_complex "[0:v]pad=width=mainw:height=mainh:x=0:y=0,[1:v] overlay=0:0" -c:v libx264  test_overlay.mp4


  


  BUT it error out to >> Decoder (codec none) not found for input stream #0:0
Q. how exactly to fix this.? i need output to be 720p or 1080p.?

  


• ffmepg why error :Failed to write core dump

  9 juillet 2021, par dmouse

  I wang to implement a feature that allows me to save RTSP stram as a file,
use javacv implement a demo,but there's an error.
i debug the demo , execute 'recorder.record(frame) ;' error, "ulimit -c unlimited" is useless,the program still reports an error.
review of the source code did note find the problem principle.pleace give me a hand.

  


  import org.bytedeco.javacpp.avcodec;
import org.bytedeco.javacv.FFmpegFrameGrabber;
import org.bytedeco.javacv.FFmpegFrameRecorder;
import org.bytedeco.javacv.Frame;

import java.io.File;
import java.io.IOException;

/**
 * @ClassName video
 * @Description TODO
 * @Author mouse
 * @Date 2021/7/9 11:13
 * @Version 1.0
 **/
public class Video {
    public static void main(String[] args) {
        String streamUrl = "rtsp://admin:12345678.@192.168.20.180:554/h265/ch1/main/av_stream";
        String filePath = "./video/hello.mp3";
        File outFile = new File(filePath);
        FFmpegFrameGrabber grabber = new FFmpegFrameGrabber(streamUrl);
        if (!outFile.getParentFile().exists()) {
            outFile.getParentFile().mkdirs();
        }
        FFmpegFrameRecorder recorder = new FFmpegFrameRecorder(filePath,1080,1440, 1);
        recorder.setVideoCodec(avcodec.AV_CODEC_ID_H265);
        recorder.setFormat("flv");
        recorder.setVideoBitrate(4000);
        try {
            grabber.start();
            recorder.start();
            Frame frame = grabber.grabFrame();
            while (frame!=null){
                recorder.record(frame);
                frame = grabber.grabFrame();
            }
            recorder.record(frame);
            recorder.stop();
            grabber.stop();

        } catch (FFmpegFrameGrabber.Exception e) {
            e.printStackTrace();
        } catch (IOException e) {
            e.printStackTrace();
        } finally {
            try {
                if (recorder != null) {
                    recorder.stop();
                }
                if (grabber != null) {
                    grabber.stop();
                }
            } catch (FFmpegFrameRecorder.Exception | FFmpegFrameGrabber.Exception e) {
                e.printStackTrace();
            }
        }
    }
}



  


  log error

  


  #
# A fatal error has been detected by the Java Runtime Environment:
#
#  SIGSEGV (0xb) at pc=0x0000000131fef233, pid=50498, tid=0x0000000000001003
#
# JRE version: Java(TM) SE Runtime Environment (8.0_281-b09) (build 1.8.0_281-b09)
# Java VM: Java HotSpot(TM) 64-Bit Server VM (25.281-b09 mixed mode bsd-amd64 compressed oops)
# Problematic frame:
# C  [libavformat.57.dylib+0xbf233]  av_write_frame+0x993
#
# Failed to write core dump. Core dumps have been disabled. To enable core dumping, try "ulimit -c unlimited" before starting Java again
#
# If you would like to submit a bug report, please visit:
#   http://bugreport.java.com/bugreport/crash.jsp
# The crash happened outside the Java Virtual Machine in native code.
# See problematic frame for where to report the bug.
#


  


  pom :

  


          <dependency>&#xA;            <groupid>org.bytedeco</groupid>&#xA;            <artifactid>javacv</artifactid>&#xA;            <version>1.4.3</version>&#xA;        </dependency>&#xA;        <dependency>&#xA;            <groupid>org.bytedeco.javacpp-presets</groupid>&#xA;            <artifactid>ffmpeg-platform</artifactid>&#xA;            <version>4.0.2-1.4.3</version>&#xA;        </dependency>&#xA;

  


  My os : macOS Bgi Sur 11.4 ;
  
JDK : 1.8.0_281
  
execute 'recorder.record(frame) ;' error,
"ulimit -c unlimited" is useless,the program still reports an error .

  


• ffmpeg : nvidia gpu performance sub-optimal

  3 août 2021, par david furst

  the problem seems fairly basic : i'd like to create thumbnails from incoming video in the shortest time possible, and i'm trying to do this by offloading processing to an nvidia gpu.

  


  while i run ffmpeg, i'm monitoring the gpu usage with the nvidia-smi utility. gpu usage never goes above 15% and the amount of time to encode the thumbnails with gpu is only 10% less than the time required without the gpu. these performance levels are very disappointing.

  


  my question : am i going about this the wrong way (and if so, how should i go about it), or is this gpu performance 'normal'/'reasonable' ?

  


  SYSTEM INFORMATION

  


  the machine is a desktop pc running windows 10, 8gb ram, intel i7-7700. the gpu is an nvidia quadro pro 4000 with cuda 11.4 installed. ffmpeg is version N-101372-gb5cb8c8767-g2fc309e699+4 (2021) running under mingw, with --enable-cuda --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-libnpp --enable-nvdec and --enable-nvenc.

  


  a typical ffmpeg command line i've used is :

  


   1 ffmpeg -hide_banner \
 2     -init_hw_device cuda=cuda:0 -filter_hw_device cuda \
 3     -hwaccel_output_format cuda \
 4     -i "$infile" \
 5     -vf "hwupload_cuda,scale_npp=w=200:h=150:format=yuv420p:interp_algo=lanczos,fps=1/1,hwdownload,format=yuv420p" \
 6     -y "$outdir/%08d.png"


  


  i've varied the above by supplementing some cuda-related parameters according to posts i've read here on stackoverflow and on the nvidia transcoding guide, but haven't been able to improve performance. adding any of -hwaccel cuda, -hwaccel cuvid, -hwaccel nvenc at the beginning of line 3 results in the error :
Impossible to convert between the formats supported by the filter 'graph 0 input from stream 0:0' and the filter 'auto_scaler_0'

  


  any pointers appreciated.