Recherche avancée

Sur d’autres sites (7103)

• Encoded Video's path gets changed in database after encoding with ffmpeg and celery and works as normal without celery

  16 novembre 2020, par Danny

  I have this code to transcode video and it works well without celery. With celery, the path of the file in the database shows a different path and the video cannot be played in the browser, but it saves the file in the correct location in the pc.

  


  If I don't use celery, then the file path in database is media/videos/videos/<filename>.mp4</filename> and file also gets saved here. This way the template is able to play the video. But if I use celery, the output gets saved in media/videos/videos/<filename>.mp4</filename> but the path in database will be media/<filename>.mp4</filename> somehow and thus template can't play the video.

  


  Is it because my page gets updated before the task ? and not getting saved properly ?

  


  views.py

  


  def post(self, *args, **kwargs):
    form = VideoPostForm(self.request.POST or None, self.request.FILES or None)
    if form.is_valid():
        video = form.save(commit=False)
        video.user = self.request.user
        video.save()
        form.save_m2m()
        # task_video_encoding(video.id)
        task_video_encoding.delay(video.id)
        return redirect('videos:my_video_home')
    else:
        raise ValidationError('Check all form fields.')


  


  encoding.py

  


  def encode_video(video_id):
    video = VideoPost.objects.get(id = video_id)
    input_file_path = video.temp_file.path
    # print(input_file_path)
    input_file_name = video.title
    #get the filename (without extension)
    filename = os.path.basename(input_file_path)
    # print(filename)
    # path to the new file, change it according to where you want to put it
    output_file_name = os.path.join('{}.mp4'.format(filename))
    # print(output_file_name)
    # output_file_path = os.path.join(settings.MEDIA_ROOT, output_file_name)
    output_file_path = os.path.join(settings.MEDIA_ROOT, 'videos', 'videos', output_file_name)
    # print(output_file_path)

    for i in range(1):
        subprocess.call([settings.VIDEO_ENCODING_FFMPEG_PATH, '-i', input_file_path, '-codec:v', 'libx264', '-crf', '-preset',
                    '-b:v', '3000k', '-maxrate', '-bufsize', '6000k', '-vf', 'scale=-2:720',
                    '-codec:a', 'aac', '128k', '-strict', '-2', output_file_path])
    # Save the new file in the database
    video.file = output_file_name
    video.save(update_fields=['file'])
    print(video.file)
    video.temp_file.delete()


  


  models

  


  class VideoPost(models.Model):
    user                = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE, blank=True, null=True)
    title               = models.TextField(max_length=1000)
    temp_file           = models.FileField(upload_to='videos/temp_videos/', validators=[validate_file_extension], null=True)
    file                = models.FileField(upload_to='videos/videos/', validators=[validate_file_extension], blank=True, max_length=255)
    post_date           = models.DateTimeField(auto_now_add=True, verbose_name="Date Posted")
    updated             = models.DateTimeField(auto_now_add=True, verbose_name="Date Updated")
    slug                = models.SlugField(blank=True, unique=True, max_length=255)


  


  Can anyone help me how to change this code in a way to show the converted video properly in the template.

  


• ffmpeg output to stdout is a black box (python)

  27 juillet 2022, par dwilliams

  Project Background :
The project I'm working on takes an image from a UE simulation camera, uses OpenCV to convert the image to .jpg, and streams the .jpg to a localhost port so that a second program can retrieve the images and annotate the objects in the simulation. I am attempting to convert these to a suitable format for UE4's WmfMediaPlayer via ffmpeg so that it can be streamed to another localhost port.

  


  Problem :
I have managed to get a the stream active but the video at the end of stream is a black square. I'm confident but not 100% certain that I've setup the ffmpeg correctly. The output to console seem to imply that the conversion is working but I've been fooled before. It could also be the flask yield component.

  


  ffmpeg declaration/setup :

  


  process = (
        ffmpeg
        .input('C:/MOT/test.jpg')   
        .output('pipe:1', vcodec='libx264', format='avi')   
        .overwrite_output()
        .run_async(pipe_stdin=True, pipe_stdout=True)
    )


  


  Flask Integration :

  


  @app.route('/annotated')
def annotated():
    return Response(
        frame_generator_annotated(),
        mimetype='multipart/x-mixed-replace; boundary=frame'
    )


def frame_generator_annotated():
    global process
    while (True):
        frame = process.stdout.read()
        yield (b'--frame\r\n'
               b'Content-Type: video/avi\r\n\r\n' + frame + b'\r\n\r\n')


  


  stream view :
http://localhost:5001/annotated

  


  ffmpeg console output :

  


  Running on all addresses.
   WARNING: This is a development server. Do not use it in a production deployment.
 * Running on http://192.168.1.220:5001/ (Press CTRL+C to quit)
ffmpeg version 4.3.1 Copyright (c) 2000-2020 the FFmpeg developers
  built with gcc 10.2.1 (GCC) 20200726
  configuration: --disable-static --enable-shared --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libsrt --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libgsm --enable-librav1e --disable-w32threads --enable-libmfx --enable-ffnvcodec --enable-cuda-llvm --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt --enable-amf
  libavutil      56. 51.100 / 56. 51.100
  libavcodec     58. 91.100 / 58. 91.100
  libavformat    58. 45.100 / 58. 45.100
  libavdevice    58. 10.100 / 58. 10.100
  libavfilter     7. 85.100 /  7. 85.100
  libswscale      5.  7.100 /  5.  7.100
  libswresample   3.  7.100 /  3.  7.100
  libpostproc    55.  7.100 / 55.  7.100
[mjpeg @ 00000269be0faec0] EOI missing, emulating
Input #0, image2, from 'C:/MOT/test.jpg':
  Duration: 00:00:00.04, start: 0.000000, bitrate: 1968 kb/s
    Stream #0:0: Video: mjpeg (Baseline), yuvj420p(pc, bt470bg/unknown/unknown), 1024x576 [SAR 1:1 DAR 16:9], 25 tbr, 25 tbn, 25 tbc
Stream mapping:
  Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
Press [q] to stop, [?] for help
[libx264 @ 00000269be0fc240] using SAR=1/1
[libx264 @ 00000269be0fc240] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
[libx264 @ 00000269be0fc240] profile High, level 3.1, 4:2:0, 8-bit
Output #0, avi, to 'pipe:1':
  Metadata:
    ISFT            : Lavf58.45.100
    Stream #0:0: Video: h264 (libx264) (H264 / 0x34363248), yuvj420p(pc), 1024x576 [SAR 1:1 DAR 16:9], q=-1--1, 25 fps, 25 tbn, 25 tbc
    Metadata:
      encoder         : Lavc58.91.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
frame=    1 fps=0.0 q=28.0 Lsize=       2kB time=00:00:00.04 bitrate= 447.2kbits/s speed= 2.9x    
video:1kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 157.307251%
[libx264 @ 00000269be0fc240] frame I:1     Avg QP:13.00  size:   869
[libx264 @ 00000269be0fc240] mb I  I16..4: 100.0%  0.0%  0.0%
[libx264 @ 00000269be0fc240] 8x8 transform intra:0.0%
[libx264 @ 00000269be0fc240] coded y,uvDC,uvAC intra: 0.0% 0.0% 0.0%
[libx264 @ 00000269be0fc240] i16 v,h,dc,p: 97%  0%  3%  0%
[libx264 @ 00000269be0fc240] i8c dc,h,v,p: 100%  0%  0%  0%
[libx264 @ 00000269be0fc240] kb/s:173.80


  


• in FFMPEG_AVAILABLE,How to insert a black frame in avpicture_fill if the frame is not available [on hold]

  22 août 2018, par Vidhi Patel

  This code should work :

  avpicture_fill((AVPicture*) picture, (tUInt8*) this->ptrOVL->get_pOutputDataOVL(), PIX_FMT_BGR24, c->width, c->height);

  but as the title says : what if the frame isn’t available ?