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• How to fix laggy ffmpeg screen and audio capture ?

  26 juillet 2022, par Wh0r00t

  I am using ffmpeg to capture the screen along with audio.

  


  The ffmpeg command that i tried is

  


  ffmpeg -y \
    -f x11grab \
    -framerate 60 \
    -s 1366x768 \
    -i :0.0 \
    -f alsa -i default -ac 2 \
    -r 30 \
    -c:v h264 -crf 0 -preset ultrafast -c:a vorbis -strict experimental  \
    "$HOME/Videos/$fname-$(date '+%y%m%d-%H%M-%S').mkv"


  


  The stdout of the ffmpeg https://pastebin.com/Qmi5TMKv

  


  ffmpeg version n5.0.1 Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 12.1.0 (GCC)
  configuration: --prefix=/usr --disable-debug --disable-static --disable-stripping --enable-amf --enable-avisynth --enable-cuda-llvm --enable-lto --enable-fontconfig --enable-gmp --enable-gnutls --enable-gpl --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libdav1d --enable-libdrm --enable-libfreetype --enable-libfribidi --enable-libgsm --enable-libiec61883 --enable-libjack --enable-libmfx --enable-libmodplug --enable-libmp3lame --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librav1e --enable-librsvg --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtheora --enable-libv4l2 --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxcb --enable-libxml2 --enable-libxvid --enable-libzimg --enable-nvdec --enable-nvenc --enable-shared --enable-version3
  libavutil      57. 17.100 / 57. 17.100
  libavcodec     59. 18.100 / 59. 18.100
  libavformat    59. 16.100 / 59. 16.100
  libavdevice    59.  4.100 / 59.  4.100
  libavfilter     8. 24.100 /  8. 24.100
  libswscale      6.  4.100 /  6.  4.100
  libswresample   4.  3.100 /  4.  3.100
  libpostproc    56.  3.100 / 56.  3.100
[x11grab @ 0x561faf77eb00] Stream #0: not enough frames to estimate rate; consider increasing probesize
Input #0, x11grab, from ':0.0':
  Duration: N/A, start: 1658814267.169414, bitrate: 2014248 kb/s
  Stream #0:0: Video: rawvideo (BGR[0] / 0x524742), bgr0, 1366x768, 2014248 kb/s, 60 fps, 1000k tbr, 1000k tbn
Guessed Channel Layout for Input Stream #1.0 : stereo
Input #1, alsa, from 'default':
  Duration: N/A, start: 1658814267.230653, bitrate: 1536 kb/s
  Stream #1:0: Audio: pcm_s16le, 48000 Hz, stereo, s16, 1536 kb/s
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (libx264))
  Stream #1:0 -> #0:1 (pcm_s16le (native) -> vorbis (native))
Press [q] to stop, [?] for help
[libx264 @ 0x561faf7d4300] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX XOP FMA3 BMI1
[libx264 @ 0x561faf7d4300] profile High 4:4:4 Predictive, level 3.2, 4:4:4, 8-bit
[libx264 @ 0x561faf7d4300] 264 - core 164 r3081 19856cc - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=0 ref=1 deblock=0:0:0 analyse=0:0 me=dia subme=0 psy=0 mixed_ref=0 me_range=16 chroma_me=1 trellis=0 8x8dct=0 cqm=0 deadzone=21,11 fast_pskip=0 chroma_qp_offset=0 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=0 weightp=0 keyint=250 keyint_min=25 scenecut=0 intra_refresh=0 rc=cqp mbtree=0 qp=0
[alsa @ 0x561faf78a940] Thread message queue blocking; consider raising the thread_queue_size option (current value: 8)
Output #0, matroska, to '/home/earth/Videos/-220726-1114-27.mkv':
  Metadata:
    encoder         : Lavf59.16.100
  Stream #0:0: Video: h264 (H264 / 0x34363248), yuv444p(tv, progressive), 1366x768, q=2-31, 30 fps, 1k tbn
    Metadata:
      encoder         : Lavc59.18.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
  Stream #0:1: Audio: vorbis (oV[0][0] / 0x566F), 48000 Hz, stereo, fltp
    Metadata:
      encoder         : Lavc59.18.100 vorbis
[vorbis @ 0x561faf7d5500] Queue input is backward in time0 bitrate=N/A speed=   0x
frame=  153 fps= 31 q=-1.0 Lsize=    2295kB time=00:00:05.06 bitrate=3709.5kbits/s dup=0 drop=150 speed=1.01x
video:2282kB audio:7kB subtitle:0kB other streams:0kB global headers:3kB muxing overhead: 0.281689%
[libx264 @ 0x561faf7d4300] frame I:1     Avg QP: 0.00  size:381729
[libx264 @ 0x561faf7d4300] frame P:152   Avg QP: 0.00  size: 12857
[libx264 @ 0x561faf7d4300] mb I  I16..4: 100.0%  0.0%  0.0%
[libx264 @ 0x561faf7d4300] mb P  I16..4: 56.3%  0.0%  0.0%  P16..4:  0.1%  0.0%  0.0%  0.0%  0.0%    skip:43.6%
[libx264 @ 0x561faf7d4300] coded y,u,v intra: 1.6% 1.6% 1.6% inter: 0.2% 0.2% 0.2%
[libx264 @ 0x561faf7d4300] i16 v,h,dc,p: 99%  1%  0%  0%
[libx264 @ 0x561faf7d4300] kb/s:3664.27
Exiting normally, received signal 15.


  


  I am using the preset ultrafast because I read that it helps not to compress the video too much.
The output of the recorded test file using ffmpeg is as below.

  


   (+) Video --vid=1 (h264 1366x768 30.000fps)
 (+) Audio --aid=1 (vorbis 2ch 48000Hz)
AO: [pulse] 48000Hz stereo 2ch float
VO: [gpu] 1366x768 yuv444p
AV: 00:00:03 / 00:00:19 (17%) A-V:  0.000
[mkv] Discarding potentially broken or useless index.
AV: 00:00:14 / 00:00:19 (73%) A-V:  0.000

Exiting... (Quit)


  


  The recording works but there is a audio lag. If I record the same using simplescreenrecorder with the same settings like,

  


  audio backend - alsa

  


  source - default

  


  audio codec - vorbis

  


  video codec - h.264

  


  container - matroska

  


  preset - superfast

  


  The simplescreenrecorder log https://pastebin.com/83hMMRQF

  


  [PageRecord::StartPage] Starting page ...
[PageRecord::StartPage] Started page.
[PageRecord::StartOutput] Starting output ...
[PageRecord::StartOutput] Output file: /home/earth/Videos/simplescreenrecorder-2022-07-26_11.18.13.mkv
[Muxer::Init] Using format matroska (Matroska).
[Muxer::AddStream] Using codec libx264 (libx264 H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10).
[VideoEncoder::PrepareStream] Using pixel format nv12.
[libx264 @ 0x563436cbfd40] using SAR=1/1
[libx264 @ 0x563436cbfd40] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX XOP FMA3 BMI1
[libx264 @ 0x563436cbfd40] profile High, level 3.2, 4:2:0, 8-bit
[libx264 @ 0x563436cbfd40] 264 - core 164 r3081 19856cc - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=1 deblock=1:0:0 analyse=0x3:0x3 me=dia subme=1 psy=1 psy_rd=1.00:0.00 mixed_ref=0 me_range=16 chroma_me=1 trellis=0 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=0 threads=4 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=1 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc=crf mbtree=0 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 pb_ratio=1.30 aq=1:1.00
[Muxer::AddStream] Using codec libvorbis (libvorbis).
[BaseEncoder::EncoderThread] Encoder thread started.
[AudioEncoder::PrepareStream] Using sample format f32p.
[BaseEncoder::EncoderThread] Encoder thread started.
[Muxer::MuxerThread] Muxer thread started.
[PageRecord::StartOutput] Started output.
[Synchronizer::SynchronizerThread] Synchronizer thread started.
[PageRecord::StartInput] Starting input ...
[X11Input::Init] Using X11 shared memory.
[X11Input::Init] Detecting screen configuration ...
[X11Input::Init] Screen 0: x1 = 0, y1 = 0, x2 = 1366, y2 = 768
[X11Input::InputThread] Input thread started.
[ALSAInput::InputThread] Using sample format s16.
[PageRecord::StartInput] Started input.
[ALSAInput::InputThread] Input thread started.
[FastResampler::Resample] Resample ratio is 1.0000 (was 0.0000).
[PageRecord::StopOutput] Stopping output ...
[PageRecord::StopOutput] Stopped output.
[PageRecord::StopInput] Stopping input ...
[X11Input::~X11Input] Stopping input thread ...
[X11Input::InputThread] Input thread stopped.
[ALSAInput::~ALSAInput] Stopping input thread ...
[ALSAInput::InputThread] Input thread stopped.
[PageRecord::StopInput] Stopped input.


  


  It works perfectly without any lag whatsoever. The output of the recorded test file using simplescreenrecorder is as below.

  


   (+) Video --vid=1 (h264 1366x768)
 (+) Audio --aid=1 (vorbis 2ch 48000Hz)
AO: [pulse] 48000Hz stereo 2ch float
VO: [gpu] 1366x768 yuv420p
AV: 00:00:01 / 00:00:17 (7%) A-V:  0.000
[mkv] Discarding potentially broken or useless index.
AV: 00:00:08 / 00:00:17 (47%) A-V:  0.000

Exiting... (Quit)


  


  The only difference that I saw between these two recordings is VO: [gpu] 1366x768 yuv444p
VO: [gpu] 1366x768 yuv420p for ffmpeg and simplescreenrecorder receptively.
I do not know if this matters but is there something that I could tweak to make ffmpeg to capture the screen and audio without any lag.
Like answered here https://unix.stackexchange.com/questions/675436/ffmpeg-recording-slows-down-when-audio-inputs-are-added
I do open pavucontrol but its not much of a help.

  


  The reason that I going with ffmpeg is because I can kill the process using pid at a particular time using cronjobs.
These are my system information, in case if it helps

  


  System:
  Host: taco Kernel: 5.18.12-arch1-1 arch: x86_64 bits: 64 Desktop: dwm
    v: 6.2 Distro: Arch Linux
Machine:
  Type: Desktop Mobo: Acer model: A75F2-M v: P21-A1 serial: N/A BIOS: Acer
    v: P21-A1 date: 02/07/2014
CPU:
  Info: quad core model: AMD A8-5500B APU with Radeon HD Graphics bits: 64
    type: MT MCP cache: L2: 4 MiB
  Speed (MHz): avg: 1400 min/max: 1400/3200 cores: 1: 1400 2: 1400 3: 1400
    4: 1400
Graphics:
  Device-1: AMD Trinity [Radeon HD 7560D] driver: radeon v: kernel
  Display: server: X.Org v: 21.1.4 driver: X: loaded: modesetting
    gpu: radeon resolution: 1366x768~60Hz
  OpenGL: renderer: AMD ARUBA (DRM 2.50.0 / 5.18.12-arch1-1 LLVM 14.0.6)
    v: 4.3 Mesa 22.1.3
Audio:
  Device-1: AMD FCH Azalia driver: snd_hda_intel
  Sound Server-1: ALSA v: k5.18.12-arch1-1 running: yes
  Sound Server-2: PulseAudio v: 16.1 running: yes
  Sound Server-3: PipeWire v: 0.3.56 running: yes


  


  Any help is much appreciated.

  


• DNN OpenCV Python using RSTP always crash after few minutes

  1er juillet 2022, par renaldyks

  Description :

  


  I want to create a people counter using DNN. The model I'm using is MobileNetSSD. The camera I use is IPCam from Hikvision. Python communicates with IPCam using the RSTP protocol.

  


  The program that I made is good and there are no bugs, when running the sample video the program does its job well. But when I replaced it with IPcam there was an unknown error.

  


  Error :

  


  Sometimes the error is :

  


  [h264 @ 000001949f7adfc0] error while decoding MB 13 4, bytestream -6
[h264 @ 000001949f825ac0] left block unavailable for requested intra4x4 mode -1
[h264 @ 000001949f825ac0] error while decoding MB 0 17, bytestream 762


  


  Sometimes the error does not appear and the program is killed.

  


  ---

  


  Update Error

  


  After revising the code, I caught the error. The error found is

  


  [h264 @ 0000019289b3fa80] error while decoding MB 4 5, bytestream -25


  


  Now I don't know what to do, because the error is not in Google.

  


  Source Code :

  


  Old Code

  


  This is my very earliest code before getting suggestions from the comments field.

  


  import time
import cv2
import numpy as np
import math
import threading

print("Load MobileNeteSSD model")

prototxt = "MobileNetSSD_deploy.prototxt"
model = "MobileNetSSD_deploy.caffemodel"

CLASSES = ["background", "aeroplane", "bicycle", "bird", "boat",
           "bottle", "bus", "car", "cat", "chair", "cow", "diningtable",
           "dog", "horse", "motorbike", "person", "pottedplant", "sheep",
           "sofa", "train", "tvmonitor"]

net = cv2.dnn.readNetFromCaffe(prototxt, model)

pos_line = 0
offset = 50
car = 0
detected = False
check = 0
prev_frame_time = 0


def detect():
    global check, car, detected
    check = 0
    if(detected == False):
        car += 1
        detected = True


def center_object(x, y, w, h):
    cx = x + int(w / 2)
    cy = y + int(h / 2)
    return cx, cy


def process_frame_MobileNetSSD(next_frame):
    global car, check, detected

    rgb = cv2.cvtColor(next_frame, cv2.COLOR_BGR2RGB)
    (H, W) = next_frame.shape[:2]

    blob = cv2.dnn.blobFromImage(next_frame, size=(300, 300), ddepth=cv2.CV_8U)
    net.setInput(blob, scalefactor=1.0/127.5, mean=[127.5, 127.5, 127.5])
    detections = net.forward()

    for i in np.arange(0, detections.shape[2]):
        confidence = detections[0, 0, i, 2]

        if confidence > 0.5:

            idx = int(detections[0, 0, i, 1])
            if CLASSES[idx] != "person":
                continue

            label = CLASSES[idx]

            box = detections[0, 0, i, 3:7] * np.array([W, H, W, H])
            (startX, startY, endX, endY) = box.astype("int")

            center_ob = center_object(startX, startY, endX-startX, endY-startY)
            cv2.circle(next_frame, center_ob, 4, (0, 0, 255), -1)

            if center_ob[0] < (pos_line+offset) and center_ob[0] > (pos_line-offset):
                # car+=1
                detect()

            else:
                check += 1
                if(check >= 5):
                    detected = False

            cv2.putText(next_frame, label+' '+str(round(confidence, 2)),
                        (startX, startY-10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
            cv2.rectangle(next_frame, (startX, startY),
                          (endX, endY), (0, 255, 0), 3)

    return next_frame


def PersonDetection_UsingMobileNetSSD():
    cap = cv2.VideoCapture()
    cap.open("rtsp://admin:Admin12345@192.168.100.20:554/Streaming/channels/2/")

    global car,pos_line,prev_frame_time

    frame_count = 0

    while True:
        try:
            time.sleep(0.1)
            new_frame_time = time.time()
            fps = int(1/(new_frame_time-prev_frame_time))
            prev_frame_time = new_frame_time

            ret, next_frame = cap.read()
            w_video = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
            h_video = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
            pos_line = int(h_video/2)-50

            if ret == False: break

            frame_count += 1
            cv2.line(next_frame, (int(h_video/2), 0),
                     (int(h_video/2), int(h_video)), (255, 127, 0), 3)
            next_frame = process_frame_MobileNetSSD(next_frame)

            cv2.rectangle(next_frame, (248,22), (342,8), (0,0,0), -1)
            cv2.putText(next_frame, "Counter : "+str(car), (250, 20),
                        cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
            cv2.putText(next_frame, "FPS : "+str(fps), (0, int(h_video)-10),
                        cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
            cv2.imshow("Video Original", next_frame)
            # print(car)

        except Exception as e:
            print(str(e))

        if cv2.waitKey(1) & 0xFF == ord('q'): 
            break


    print("/MobileNetSSD Person Detector")


    cap.release()
    cv2.destroyAllWindows()

if __name__ == "__main__":
    t1 = threading.Thread(PersonDetection_UsingMobileNetSSD())
    t1.start()


  


  New Code

  


  I have revised my code and the program still stops taking frames. I just revised the PersonDetection_UsingMobileNetSSD() function. I've also removed the multithreading I was using. The code has been running for about 30 minutes but after a broken frame, the code will never re-execute the program block if ret == True.

  


  def PersonDetection_UsingMobileNetSSD():
    cap = cv2.VideoCapture()
    cap.open("rtsp://admin:Admin12345@192.168.100.20:554/Streaming/channels/2/")

    global car,pos_line,prev_frame_time

    frame_count = 0

    while True:
        try:
            if cap.isOpened():
                ret, next_frame = cap.read()
                if ret:
                    new_frame_time = time.time()
                    fps = int(1/(new_frame_time-prev_frame_time))
                    prev_frame_time = new_frame_time
                    w_video = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
                    h_video = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
                    pos_line = int(h_video/2)-50

                    # next_frame = cv2.resize(next_frame,(720,480),fx=0,fy=0, interpolation = cv2.INTER_CUBIC)

                    if ret == False: break

                    frame_count += 1
                    cv2.line(next_frame, (int(h_video/2), 0),
                            (int(h_video/2), int(h_video)), (255, 127, 0), 3)
                    next_frame = process_frame_MobileNetSSD(next_frame)

                    cv2.rectangle(next_frame, (248,22), (342,8), (0,0,0), -1)
                    cv2.putText(next_frame, "Counter : "+str(car), (250, 20),
                                cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
                    cv2.putText(next_frame, "FPS : "+str(fps), (0, int(h_video)-10),
                                cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
                    cv2.imshow("Video Original", next_frame)
                    # print(car)
                else:
                    print("Crashed Frame")
            else:
                print("Cap is not open")

        except Exception as e:
            print(str(e))

        if cv2.waitKey(1) & 0xFF == ord('q'): 
            break


    print("/MobileNetSSD Person Detector")


    cap.release()
    cv2.destroyAllWindows()


  


  Requirement :

  


  Hardware : Intel i5-1035G1, RAM 8 GB, NVIDIA GeForce MX330

  


  Software : Python 3.6.2 , OpenCV 4.5.1, Numpy 1.16.0

  


  Question :

  


  

  1. What should i do for fixing this error ?

  


  2. What causes this to happen ?

  


  


  Best Regards,

  


  ---

  


  Thanks

  


• nodejs aws lambda ffmpeg command failure

  14 juin 2022, par mozenge

  Im running an ffmpeg command to generate a thumbnail from a video that exists on aws s3 bucket but accessed from cloud front. So i try to stream the video in the command. This is implemented in nodejs and the ffmpeg dependency is a lambda layer. The code looks like so

  


  const gifName = `${baseFilename}.gif`;
await execPromise(`ffmpeg -t 10 -ss 00:00:01 -i "${_url}" ${'/tmp/' + gifName}`);


  


  _url is a clound front url. This works when i test locally even via aws SAM cli.
But this fails when testing the deployed fuction. The error output I get is as follows

  


  2022-06-13T14:07:41.079Z    35af32d2-c63f-4942-abce-3ae7dad2a6c3    INFO    stderr:  ffmpeg version 5.0.1-static https://johnvansickle.com/ffmpeg/  Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 8 (Debian 8.3.0-6)
  configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disable-indev=sndio --disable-outdev=sndio --cc=gcc --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gmp --enable-libgme --enable-gray --enable-libaom --enable-libfribidi --enable-libass --enable-libvmaf --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-librubberband --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libvorbis --enable-libopus --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libdav1d --enable-libxvid --enable-libzvbi --enable-libzimg
  libavutil      57. 17.100 / 57. 17.100
  libavcodec     59. 18.100 / 59. 18.100
  libavformat    59. 16.100 / 59. 16.100
  libavdevice    59.  4.100 / 59.  4.100
  libavfilter     8. 24.100 /  8. 24.100
  libswscale      6.  4.100 /  6.  4.100
  libswresample   4.  3.100 /  4.  3.100
  libpostproc    56.  3.100 / 56.  3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'https://d17yrtgi5800rj.cloudfront.net/staging/videos/a66a92eb-bc31-4440-958c-07ee23e55bcb':
  Metadata:
    major_brand     : qt  
    minor_version   : 0
    compatible_brands: qt  
    creation_time   : 2022-05-03T19:50:01.000000Z
    com.apple.quicktime.location.accuracy.horizontal: 4.732124
    com.apple.quicktime.location.ISO6709: +52.3832+004.9205+018.038/
    com.apple.quicktime.make: Apple
    com.apple.quicktime.model: iPhone 13 Pro Max
    com.apple.quicktime.software: 15.4.1
    com.apple.quicktime.creationdate: 2022-05-03T21:50:01+0200
  Duration: 00:00:42.67, start: 0.000000, bitrate: 8434 kb/s
  Stream #0:0[0x1](und): Video: hevc (Main 10) (hvc1 / 0x31637668), yuv420p10le(tv, bt2020nc/bt2020/arib-std-b67), 1920x1080, 8214 kb/s, 30 fps, 30 tbr, 600 tbn (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Video
      vendor_id       : [0][0][0][0]
      encoder         : HEVC
    Side data:
      DOVI configuration record: version: 1.0, profile: 8, level: 4, rpu flag: 1, el flag: 0, bl flag: 1, compatibility id: 4
      displaymatrix: rotation of -90.00 degrees
  Stream #0:1[0x2](und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 162 kb/s (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Audio
      vendor_id       : [0][0][0][0]
  Stream #0:2[0x3](und): Data: none (mebx / 0x7862656D), 0 kb/s (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Metadata
  Stream #0:3[0x4](und): Data: none (mebx / 0x7862656D), 5 kb/s (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Metadata
  Stream #0:4[0x5](und): Data: none (mebx / 0x7862656D), 36 kb/s (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Metadata
Stream mapping:
  Stream #0:0 -> #0:0 (hevc (native) -> gif (native))
Press [q] to stop, [?] for help
[hevc @ 0x63641c0] Multiple Dolby Vision RPUs found in one AU. Skipping previous.
[hevc @ 0x6375900] Multiple Dolby Vision RPUs found in one AU. Skipping previous.
[hevc @ 0x6333600] Multiple Dolby Vision RPUs found in one AU. Skipping previous.
Output #0, gif, to '/tmp/a66a92eb-bc31-4440-958c-07ee23e55bcb.gif':
  Metadata:
    major_brand     : qt  
    minor_version   : 0
    compatible_brands: qt  
    com.apple.quicktime.creationdate: 2022-05-03T21:50:01+0200
    com.apple.quicktime.location.accuracy.horizontal: 4.732124
    com.apple.quicktime.location.ISO6709: +52.3832+004.9205+018.038/
    com.apple.quicktime.make: Apple
    com.apple.quicktime.model: iPhone 13 Pro Max
    com.apple.quicktime.software: 15.4.1
    encoder         : Lavf59.16.100
  Stream #0:0(und): Video: gif, bgr8(pc, gbr/bt2020/arib-std-b67, progressive), 1080x1920, q=2-31, 200 kb/s, 30 fps, 100 tbn (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Video
      vendor_id       : [0][0][0][0]
      encoder         : Lavc59.18.100 gif
    Side data:
      DOVI configuration record: version: 1.0, profile: 8, level: 4, rpu flag: 1, el flag: 0, bl flag: 1, compatibility id: 4
      displaymatrix: rotation of -0.00 degrees
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video:91358kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.000021%


  


  Any ideas what might be wrong ?