Broken pipe about avatarify-python HOT 42 CLOSED

Hi All, I have tried to run v4l2-ctl --list-devices and it shows
avatarify (platform:v4l2loopback-000): /dev/video2

after that I have changed run.sh file FFCMD='ffmpeg -re -i pipe:0 -vf format=pix_fmts=yuv420p -f v4l2 /dev/video2'
Now it works as expected

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1790535 Added simple workaround by assigning virtual camera id 9 (hope you don't have 10 cameras) and option --no-stream.

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Need fix cam_fomm.py
Replace sys.stdout.buffer.write(buf) to sys.stderr.buffer.write(buf) in 185 line

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Broken pipe happens because something prints into stdout, ffmpeg reads stdin and crash with deprecated pixel format used

I substituted all prints to stdout to stderr, please try.

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Pulled the new version, still have this

cam_fomm.py:26: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  config = yaml.load(f)
[mjpeg @ 0x55cdf42e3900] Format mjpeg detected only with low score of 25, misdetection possible!
Input #0, mjpeg, from 'pipe:0':
  Duration: N/A, bitrate: N/A
    Stream #0:0: Video: mjpeg, yuvj420p(pc, bt470bg/unknown/unknown), 640x480 [SAR 1:1 DAR 4:3], 25 tbr, 1200k tbn, 25 tbc
Stream mapping:
  Stream #0:0 -> #0:0 (mjpeg (native) -> rawvideo (native))
[swscaler @ 0x55cdf4351a40] deprecated pixel format used, make sure you did set range correctly
[v4l2 @ 0x55cdf42eda60] ioctl(VIDIOC_G_FMT): Invalid argument
Could not write header for output file #0 (incorrect codec parameters ?): Invalid argument
Error initializing output stream 0:0 -- 
Conversion failed!
Traceback (most recent call last):
  File "cam_fomm.py", line 185, in <module>
    sys.stdout.buffer.write(buf)
BrokenPipeError: [Errno 32] Broken pipe

commenting the run command fixes it

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@LugarkPirog @Defolters
try download checkpoint manually
https://drive.google.com/file/d/1L8P-hpBhZi8Q_1vP2KlQ4N6dvlzpYBvZ/view

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I believe that would not be a problem in most of the scenarios!

BTW: Thank you very much for this great work in this repo! @alievk

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same here :(

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1. make sure code is up to date
2. comment https://github.com/alievk/avatarify/blob/master/run.sh#L11 and uncomment https://github.com/alievk/avatarify/blob/master/run.sh#L12 and see if it works without streaming

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1. make sure code is up to date
2. comment https://github.com/alievk/avatarify/blob/master/run.sh#L11 and uncomment https://github.com/alievk/avatarify/blob/master/run.sh#L12 and see if it works without streaming

Had the same Broken pipe error, can confirm that commenting like you say above works, but yes, without streaming

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656b6d6

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Could you provide full output without streaming?

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The same:

ffmpeg version 4.1.4-1build2 Copyright (c) 2000-2019 the FFmpeg developers
built with gcc 9 (Ubuntu 9.2.1-4ubuntu1)
configuration: --prefix=/usr --extra-version=1build2 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared
libavutil 56. 22.100 / 56. 22.100
libavcodec 58. 35.100 / 58. 35.100
libavformat 58. 20.100 / 58. 20.100
libavdevice 58. 5.100 / 58. 5.100
libavfilter 7. 40.101 / 7. 40.101
libavresample 4. 0. 0 / 4. 0. 0
libswscale 5. 3.100 / 5. 3.100
libswresample 3. 3.100 / 3. 3.100
libpostproc 55. 3.100 / 55. 3.100
0: ./avatars/einstein.jpg
(1200, 1200, 3)
1: ./avatars/eminem.jpg
(412, 412, 3)
2: ./avatars/jobs.jpg
(624, 624, 3)
3: ./avatars/mona.jpg
(602, 602, 3)
4: ./avatars/obama.jpg
(929, 930, 3)
5: ./avatars/potter.jpg
(724, 722, 3)
6: ./avatars/ronaldo.png
(301, 301, 4)
7: ./avatars/schwarzenegger.png
(250, 250, 4)
cam_fomm.py:26: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(f)
[mjpeg @ 0x556a6005fa00] Format mjpeg detected only with low score of 25, misdetection possible!
Input #0, mjpeg, from 'pipe:0':
Duration: N/A, bitrate: N/A
Stream #0:0: Video: mjpeg, yuvj420p(pc, bt470bg/unknown/unknown), 640x480 [SAR 1:1 DAR 4:3], 25 tbr, 1200k tbn, 25 tbc
Stream mapping:
Stream #0:0 -> #0:0 (mjpeg (native) -> rawvideo (native))
[swscaler @ 0x556a600ce2c0] deprecated pixel format used, make sure you did set range correctly
[video4linux2,v4l2 @ 0x556a60065680] ioctl(VIDIOC_G_FMT): Invalid argument
Could not write header for output file #0 (incorrect codec parameters ?): Invalid argument
Error initializing output stream 0:0 --
Conversion failed!
Traceback (most recent call last):
File "cam_fomm.py", line 181, in
sys.stdout.buffer.write(buf)
BrokenPipeError: [Errno 32] Broken pipe
Exception ignored in: <_io.TextIOWrapper name='' mode='w' encoding='utf-8'>
BrokenPipeError: [Errno 32] Broken pipe

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Could you provide full output without streaming?

Same issue. Here's what I get when running without streaming.

0: ./avatars/einstein.jpg
1: ./avatars/eminem.jpg
2: ./avatars/jobs.jpg
3: ./avatars/mona.jpg
4: ./avatars/obama.jpg
5: ./avatars/potter.jpg
6: ./avatars/ronaldo.png
7: ./avatars/schwarzenegger.png
load checkpoints..
cam_fomm.py:26: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  config = yaml.load(f)
/home/viktor/anaconda3/envs/avatarify/lib/python3.8/site-packages/torch/nn/functional.py:2705: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
  warnings.warn("Default grid_sample and affine_grid behavior has changed "
/home/viktor/anaconda3/envs/avatarify/lib/python3.8/site-packages/torch/nn/functional.py:2503: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
  warnings.warn("Default upsampling behavior when mode={} is changed "
/home/viktor/anaconda3/envs/avatarify/lib/python3.8/site-packages/torch/nn/functional.py:1351: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
  warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")

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same here

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Need fix cam_fomm.py
Replace sys.stdout.buffer.write(buf) to sys.stderr.buffer.write(buf) in 185 line

this is interesting, ffmpeg should read from stdin. what OS do you have?

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this is interesting, ffmpeg should read from stdout. what OS do you have?

I have Ubuntu 19.10
Perhaps, this is a "feature" of my environment)

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fetched last code, switched to non-streaming version, got new error:

1: ./avatars/eminem.jpg
2: ./avatars/jobs.jpg
3: ./avatars/mona.jpg
4: ./avatars/musk.jpg
5: ./avatars/obama.jpg
6: ./avatars/potter.jpg
7: ./avatars/ronaldo.png
8: ./avatars/schwarzenegger.png
load checkpoints..
cam_fomm.py:26: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  config = yaml.load(f)
Traceback (most recent call last):
  File "cam_fomm.py", line 130, in <module>
    generator, kp_detector = load_checkpoints(config_path=opt.config, checkpoint_path=opt.checkpoint, device=device)
  File "cam_fomm.py", line 36, in load_checkpoints
    checkpoint = torch.load(checkpoint_path, map_location=device)
  File "/home/lugark/.conda/envs/avatarify/lib/python3.8/site-packages/torch/serialization.py", line 526, in load
    if _is_zipfile(opened_file):
  File "/home/lugark/.conda/envs/avatarify/lib/python3.8/site-packages/torch/serialization.py", line 76, in _is_zipfile
    if ord(magic_byte) != ord(read_byte):
TypeError: ord() expected a character, but string of length 0 found```

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Last commit:

7: ./avatars/schwarzenegger.png
load checkpoints..
cam_fomm.py:26: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(f)
Traceback (most recent call last):
File "cam_fomm.py", line 130, in
generator, kp_detector = load_checkpoints(config_path=opt.config, checkpoint_path=opt.checkpoint, device=device)
File "cam_fomm.py", line 36, in load_checkpoints
checkpoint = torch.load(checkpoint_path, map_location=device)
File "/home/osboxes/miniconda3/envs/avatarify/lib/python3.8/site-packages/torch/serialization.py", line 529, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/home/osboxes/miniconda3/envs/avatarify/lib/python3.8/site-packages/torch/serialization.py", line 692, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, '<'.
pipe:0: Invalid data found when processing input

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@LugarkPirog @Defolters make sure model checkpoint is not broken. Check md5sum:
46b26eabacbcf1533ac66dc5cf234c5e vox-adv-cpk.pth.tar

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And I have interesting error:
[ERROR:0] global /Users/travis/build/skvark/opencv-python/opencv/modules/videoio/src/cap.cpp (193) open VIDEOIO(AVFOUNDATION): raised unknown C++ exception! Cannot open camera
I don't have any users named "travis" on my Mac

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@LugarkPirog @Defolters make sure model checkpoint is not broken. Check md5sum:
46b26eabacbcf1533ac66dc5cf234c5e vox-adv-cpk.pth.tar

d41d8cd98f00b204e9800998ecf8427e vox-adv-cpk.pth.tar
deleted the file and reloaded it via download_data.sh, thats the result

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Hi, @no-karma-no-cry!
Try to change CAMID in run_mac.sh script from 0 to 1 or 2.

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@LugarkPirog As I understand, size of vox-adv-cpk.pth.tar should be 750.9 MB.

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Hello @karfly. Have you faced this error?

0: ./avatars/einstein.jpg
1: ./avatars/eminem.jpg
2: ./avatars/jobs.jpg
3: ./avatars/mona.jpg
4: ./avatars/obama.jpg
5: ./avatars/potter.jpg
6: ./avatars/ronaldo.png
7: ./avatars/schwarzenegger.png
load checkpoints..
cam_fomm.py:26: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(f)
2020-04-08 23:27:05.985 python[51869:4970703] alloc
2020-04-08 23:27:05.985 python[51869:4970703] query 2
2020-04-08 23:27:05.985 python[51869:4970703] release 2
2020-04-08 23:27:05.985 python[51869:4970703] ** MyPlugInitializeWithObjectID
2020-04-08 23:27:05.986 python[51869:4970703] init
2020-04-08 23:27:05.986 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:05.986 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:05.986 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.072 python[51869:4970703] Trying to get Surface
2020-04-08 23:27:06.088 python[51869:4970703] Found Surface
2020-04-08 23:27:06.088 python[51869:4970703] Surface is not in use
2020-04-08 23:27:06.088 python[51869:4970703] Surface is 0x140243500813216
2020-04-08 23:27:06.089 python[51869:4970703] Driver name is 8 CamTwist
2020-04-08 23:27:06.090 python[51869:4970703] <CMVideoFormatDescription 0x7f8cfc7c2f00 [0x7fff9019fd10]> {
mediaType:'vide'
mediaSubType:'BGRA'
mediaSpecific: {
codecType: 'BGRA' dimensions: 320 x 240
}
extensions: {{
CVBytesPerRow = 1280;
CVFieldCount = 1;
FormatName = "Component Video - CCIR-601 RGB";
"com.apple.cmio.format_extension.video.only_has_i_frames" = 1;
}}
}
2020-04-08 23:27:06.090 python[51869:4970703] Name CamTwist
2020-04-08 23:27:06.090 python[51869:4970703] alloc
2020-04-08 23:27:06.090 python[51869:4970703] query 2
2020-04-08 23:27:06.090 python[51869:4970703] release 2
2020-04-08 23:27:06.090 python[51869:4970703] ** MyPlugInitializeWithObjectID
2020-04-08 23:27:06.090 python[51869:4970703] init
2020-04-08 23:27:06.097 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.098 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.098 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.098 python[51869:4970703] <CMVideoFormatDescription 0x7f8cfc7c7ae0 [0x7fff9019fd10]> {
mediaType:'vide'
mediaSubType:'2vuy'
mediaSpecific: {
codecType: '2vuy' dimensions: 320 x 240
}
extensions: {{
CVFieldCount = 1;
CVImageBufferColorPrimaries = "SMPTE_C";
CVImageBufferTransferFunction = "ITU_R_709_2";
CVImageBufferYCbCrMatrix = "ITU_R_601_4";
FormatName = "Component Video - CCIR-601 uyvy";
"com.apple.cmio.format_extension.video.only_has_i_frames" = 1;
}}
}
2020-04-08 23:27:06.098 python[51869:4970703] Name CamTwist (2VUY)
2020-04-08 23:27:06.131 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.132 python[51869:4970703] enog
2020-04-08 23:27:06.132 python[51869:4970703] bolg
2020-04-08 23:27:06.132 python[51869:4970703] 0
2020-04-08 23:27:06.132 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.132 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.132 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.132 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.132 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.132 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.132 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.132 python[51869:4970703] scope bolg
2020-04-08 23:27:06.133 python[51869:4970703] elt 0
2020-04-08 23:27:06.134 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.134 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.134 python[51869:4970703] scope bolg
2020-04-08 23:27:06.153 python[51869:4970703] elt 0
2020-04-08 23:27:06.153 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.153 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.153 python[51869:4970703] scope bolg
2020-04-08 23:27:06.153 python[51869:4970703] elt 0
2020-04-08 23:27:06.153 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.153 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.153 python[51869:4970703] scope bolg
2020-04-08 23:27:06.153 python[51869:4970703] elt 0
2020-04-08 23:27:06.153 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.153 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.153 python[51869:4970703] scope bolg
2020-04-08 23:27:06.153 python[51869:4970703] elt 0
2020-04-08 23:27:06.153 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.153 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.153 python[51869:4970703] scope bolg
2020-04-08 23:27:06.153 python[51869:4970703] elt 0
2020-04-08 23:27:06.158 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.158 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.158 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.158 python[51869:4970703] scope bolg
2020-04-08 23:27:06.158 python[51869:4970703] elt 0
2020-04-08 23:27:06.158 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.158 python[51869:4970703] grrf
2020-04-08 23:27:06.158 python[51869:4970703] bolg
2020-04-08 23:27:06.158 python[51869:4970703] 0
2020-04-08 23:27:06.158 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.158 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.158 python[51869:4970703] scope bolg
2020-04-08 23:27:06.158 python[51869:4970703] elt 0
2020-04-08 23:27:06.159 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.159 python[51869:4970703] grrf
2020-04-08 23:27:06.159 python[51869:4970703] bolg
2020-04-08 23:27:06.159 python[51869:4970703] 0
2020-04-08 23:27:06.160 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.160 python[51869:4970703] trfn
2020-04-08 23:27:06.160 python[51869:4970703] bolg
2020-04-08 23:27:06.160 python[51869:4970703] 0
2020-04-08 23:27:06.160 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.160 python[51869:4970703] trfm
2020-04-08 23:27:06.160 python[51869:4970703] bolg
2020-04-08 23:27:06.160 python[51869:4970703] 0
2020-04-08 23:27:06.160 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.160 python[51869:4970703] trfn
2020-04-08 23:27:06.160 python[51869:4970703] bolg
2020-04-08 23:27:06.160 python[51869:4970703] 0
2020-04-08 23:27:06.161 python[51869:4970703] DN: CamTwist
2020-04-08 23:27:06.161 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.161 python[51869:4970703] dulp
2020-04-08 23:27:06.161 python[51869:4970703] tpni
2020-04-08 23:27:06.161 python[51869:4970703] 0
2020-04-08 23:27:06.161 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.161 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.161 python[51869:4970703] scope bolg
2020-04-08 23:27:06.161 python[51869:4970703] elt 0
2020-04-08 23:27:06.161 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.161 python[51869:4970703] enog
2020-04-08 23:27:06.161 python[51869:4970703] bolg
2020-04-08 23:27:06.161 python[51869:4970703] 0
2020-04-08 23:27:06.161 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.161 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.161 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.161 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.163 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.163 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.163 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.163 python[51869:4970703] scope bolg
2020-04-08 23:27:06.163 python[51869:4970703] elt 0
2020-04-08 23:27:06.164 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.164 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.164 python[51869:4970703] scope bolg
2020-04-08 23:27:06.164 python[51869:4970703] elt 0
2020-04-08 23:27:06.164 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.164 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.164 python[51869:4970703] scope bolg
2020-04-08 23:27:06.164 python[51869:4970703] elt 0
2020-04-08 23:27:06.164 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.164 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.164 python[51869:4970703] scope bolg
2020-04-08 23:27:06.222 python[51869:4970703] elt 0
2020-04-08 23:27:06.222 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.222 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.222 python[51869:4970703] scope bolg
2020-04-08 23:27:06.222 python[51869:4970703] elt 0
2020-04-08 23:27:06.222 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.222 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.222 python[51869:4970703] scope bolg
2020-04-08 23:27:06.222 python[51869:4970703] elt 0
2020-04-08 23:27:06.222 python[51869:4970703] MyPlugObjectSetPropertyData
2020-04-08 23:27:06.222 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.222 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.222 python[51869:4970703] scope bolg
2020-04-08 23:27:06.222 python[51869:4970703] elt 0
2020-04-08 23:27:06.223 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.223 python[51869:4970703] grrf
2020-04-08 23:27:06.223 python[51869:4970703] bolg
2020-04-08 23:27:06.251 python[51869:4970703] 0
2020-04-08 23:27:06.252 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.252 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.252 python[51869:4970703] scope bolg
2020-04-08 23:27:06.252 python[51869:4970703] elt 0
2020-04-08 23:27:06.252 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.252 python[51869:4970703] grrf
2020-04-08 23:27:06.252 python[51869:4970703] bolg
2020-04-08 23:27:06.252 python[51869:4970703] 0
2020-04-08 23:27:06.252 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.252 python[51869:4970703] trfn
2020-04-08 23:27:06.252 python[51869:4970703] bolg
2020-04-08 23:27:06.252 python[51869:4970703] 0
2020-04-08 23:27:06.252 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.252 python[51869:4970703] trfm
2020-04-08 23:27:06.252 python[51869:4970703] bolg
2020-04-08 23:27:06.252 python[51869:4970703] 0
2020-04-08 23:27:06.252 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.268 python[51869:4970703] trfn
2020-04-08 23:27:06.268 python[51869:4970703] bolg
2020-04-08 23:27:06.269 python[51869:4970703] 0
2020-04-08 23:27:06.269 python[51869:4970703] DN: CamTwist (2VUY)
2020-04-08 23:27:06.269 python[51869:4970703] MyPlugObjectHasProperty
2020-04-08 23:27:06.269 python[51869:4970703] dulp
2020-04-08 23:27:06.269 python[51869:4970703] tpni
2020-04-08 23:27:06.269 python[51869:4970703] 0
2020-04-08 23:27:06.269 python[51869:4970703] MyPlugObjectGetPropertyDataSize
2020-04-08 23:27:06.269 python[51869:4970703] sel dnwo
2020-04-08 23:27:06.269 python[51869:4970703] scope bolg
2020-04-08 23:27:06.269 python[51869:4970703] elt 0
2020-04-08 23:27:06.473 python[51869:4970703] MyPlugObjectIsPropertySettable
2020-04-08 23:27:06.473 python[51869:4970703] MyPlugObjectIsPropertySettable
2020-04-08 23:27:06.473 python[51869:4970703] MyPlugObjectIsPropertySettable
2020-04-08 23:27:06.473 python[51869:4970703] MyPlugObjectSetPropertyData
run_mac.sh: line 6: 51869 Abort trap: 6 python cam_fomm.py --config $CONFIG --checkpoint $CKPT --cam $CAMID --relative --adapt_scale --no-pad

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Hi, @no-karma-no-cry!
Try to change CAMID in run_mac.sh script from 0 to 1 or 2.

Thanks! Camera works now

from avatarify-python.

If you experience problems with streaming using ffmpeg (like Broken pipe), you can try a different method for streaming, which we used for Mac.

You need any software that can capture a separate window and stream it to a virtual camera. For Mac we use CamTwist, and I believe there're many alternatives for Linux (e.g. WebcamStudio).

So just follow Mac installation and running instructions but change CamTwist to some alternative software.

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@alievk Now it works, thank you!

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run.sh file FFCMD='ffmpeg -re -i pipe:0 -vf format=pix_fmts=yuv420p -f v4l2 /dev/video2'

Works like a charm! thank you

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Did anyone figure out a fix for the BrokenPipeError?

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I was able to fix the BrokenPipeError and run the script but neither skype or zoop doesn't see avatarify
Ubuntu 18.04

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@ZackPashkin how did you fix it?

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I was able to fix the BrokenPipeError and run the script but neither skype or zoop doesn't see avatarify
Ubuntu 18.04

Please describe the steps you follow. Do you see avatar image in the popup window?

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We're preparing a substitution to ffmpeg, so BrokenPipe error should be eliminated.

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Linux Mint 19.3
I followed the setup guide
then changed to /dev/video2 in this line FFCMD='ffmpeg -re -i pipe:0 -vf format=pix_fmts=yuv420p -f v4l2 /dev/video2' in run.sh (CAMID=0)
and it is working. Both, skype and zoom see the camera

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@levongh Thanks for your solution, it saved my avatar today.

It would be great if we can check in the shell script to decide whether we should use /dev/video1 or /dev/video2 because the system camera numbers are variable.

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@alievk I have been able to run it with the workaround, however the Virtual Camera does not appear in Zoom neither in Skype.

Ubuntu 18.04 here. Any logs I may provide you?

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@IvoPereira Please show output of v4l2-ctl --list-devices and bash run.sh.

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Could you provide full output without streaming?

Same issue. Here's what I get when running without streaming.

0: ./avatars/einstein.jpg
1: ./avatars/eminem.jpg
2: ./avatars/jobs.jpg
3: ./avatars/mona.jpg
4: ./avatars/obama.jpg
5: ./avatars/potter.jpg
6: ./avatars/ronaldo.png
7: ./avatars/schwarzenegger.png
load checkpoints..
cam_fomm.py:26: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  config = yaml.load(f)
/home/viktor/anaconda3/envs/avatarify/lib/python3.8/site-packages/torch/nn/functional.py:2705: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
  warnings.warn("Default grid_sample and affine_grid behavior has changed "
/home/viktor/anaconda3/envs/avatarify/lib/python3.8/site-packages/torch/nn/functional.py:2503: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
  warnings.warn("Default upsampling behavior when mode={} is changed "
/home/viktor/anaconda3/envs/avatarify/lib/python3.8/site-packages/torch/nn/functional.py:1351: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
  warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")

I am facing the same issue, how did you solve it?

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Hi!
The same issue
Linux 5.3.0-42-generic #34~18.04.1-Ubuntu SMP x86_64 x86_64 x86_64 GNU/Linux

try catch as temporary fix works for me
:290 try:
sys.stdout.buffer.write(buf)
except (BrokenPipeError):
pass

But skype, zoom didnt see avatarify (platform:v4l2loopback-000):/dev/video9

Devices created as expected.
Its seems that they w8 on /dev/video0, but its busy and apps have no camera at all

from avatarify-python.

Hi!
The same issue
Linux 5.3.0-42-generic #34~18.04.1-Ubuntu SMP x86_64 x86_64 x86_64 GNU/Linux

try catch as temporary fix works for me
:290 try:
sys.stdout.buffer.write(buf)
except (BrokenPipeError):
pass

But skype, zoom didnt see avatarify (platform:v4l2loopback-000):/dev/video9

Devices created as expected.
Its seems that they w8 on /dev/video0, but its busy and apps have no camera at all

Great, It's work here, but I can't select this camera in video apps.

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Closing this issue since ffmpeg piping is now replaced with pyfakewebcam.

Please update to the latest version.

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