forrestlinfeng
commented
3 years ago meet same problem, how to solve it?
Open Mangoray opened 3 years ago
forrestlinfeng
commented
3 years ago meet same problem, how to solve it?
JohanAR
commented
3 years ago @forrestlinfeng what graphics card do you have?
forrestlinfeng
commented
3 years ago when i kill other processor，the problem has been solved
jandrioli
commented
3 years ago I have the same issue on Ubuntu 20.04 64 bits with a CUDA GTX 1030
(base) carlos@desktop:/media/DATA/avatarify$ time bash run.sh
[1617211270.691124] Loading Predictor
Traceback (most recent call last):
File "afy/cam_fomm.py", line 218, in <module>
**predictor_args
File "/media/DATA/avatarify/afy/predictor_local.py", line 48, in __init__
self.generator, self.kp_detector = self.load_checkpoints()
File "/media/DATA/avatarify/afy/predictor_local.py", line 66, in load_checkpoints
checkpoint = torch.load(self.checkpoint_path, map_location=self.device)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/serialization.py", line 593, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/serialization.py", line 772, in _legacy_load
result = unpickler.load()
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/serialization.py", line 728, in persistent_load
deserialized_objects[root_key] = restore_location(obj, location)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/serialization.py", line 809, in restore_location
return default_restore_location(storage, map_location)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/serialization.py", line 175, in default_restore_location
result = fn(storage, location)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/serialization.py", line 155, in _cuda_deserialize
return storage_type(obj.size())
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/cuda/__init__.py", line 484, in _lazy_new
return super(_CudaBase, cls).__new__(cls, *args, **kwargs)
RuntimeError: CUDA out of memory. Tried to allocate 18.00 MiB (GPU 0; 1.95 GiB total capacity; 935.53 MiB already allocated; 31.94 MiB free; 946.00 MiB reserved in total by PyTorch)
real 0m9.609s
user 0m6.202s
sys 0m2.198s
It looks like a memory leak; trying to allocate GPU memory in some loop? I can see from the nvidia tools that the GPU memory is getting eaten up and after that run.sh stops; and GPU memory goes back down to what it was before.
jandrioli
commented
3 years ago OK I did nothing whatsoever since posting the previous comment and right now just for fun I tried the same command again and it did not crash .
jandrioli
commented
3 years ago Damned. Restarted the computer to try fresh and now I got the same crash once more.
jandrioli
commented
3 years ago Yep so the problem persists even though I am able to get a little bit further. After having configured my face in the red square and pressing "X" the memory leak happens again. By the way I have no other processes using GPU atm
[1617215736.869267] 101
/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/nn/functional.py:3829: 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.
"Default grid_sample and affine_grid behavior has changed "
Traceback (most recent call last):
File "afy/cam_fomm.py", line 316, in <module>
out = predictor.predict(frame)
File "/media/DATA/avatarify/afy/predictor_local.py", line 106, in predict
out = self.generator(self.source, kp_source=self.kp_source, kp_driving=kp_norm)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/media/DATA/avatarify/fomm/modules/generator_optim.py", line 77, in forward
kp_source=kp_source)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/media/DATA/avatarify/fomm/modules/dense_motion.py", line 96, in forward
prediction = self.hourglass(input)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/media/DATA/avatarify/fomm/modules/util.py", line 196, in forward
return self.decoder(self.encoder(x))
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/media/DATA/avatarify/fomm/modules/util.py", line 178, in forward
out = up_block(out)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/media/DATA/avatarify/fomm/modules/util.py", line 91, in forward
out = self.conv(out)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 399, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/media/DATA/miniconda3/envs/avatarify/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 396, in _conv_forward
self.padding, self.dilation, self.groups)
RuntimeError: CUDA out of memory. Tried to allocate 278.00 MiB (GPU 0; 1.95 GiB total capacity; 632.81 MiB already allocated; 285.50 MiB free; 734.00 MiB reserved in total by PyTorch)
FATAL: exception not rethrown
./run.sh: line 151: 8374 Aborted (core dumped) python afy/cam_fomm.py --config $FOMM_CONFIG --checkpoint $FOMM_CKPT --virt-cam $CAMID_VIRT --relative --adapt_scale $@It looks like a memory leak; trying to allocate GPU memory in some loop? I can see from the nvidia tools that the GPU memory is getting eaten up and after that run.sh stops; and GPU memory goes back down to what it was before.
I can see from the backtrace you posted that this happens really early during startup, and there are no loops involved there. The function that fails is when we tell PyTorch to load the checkpoint file, which for some reason thinks that you don't have enough GPU memory.
Regarding other processes, you don't even have a web browser open? It sounds like it's saying 632MB GPU RAM is allocated by someone else
jandrioli
commented
3 years ago Yep it happens very early but on the third occasion it happened much later, after I had pressed "X" to setup my red square. It consumes from 632MB of ram all the way up to 2GB,,, eating 1.4GB of RAM in a matter of few seconds. I saw it comes from Pytorch but at first I was wondering if my checkpoint file could be corrupted or something? Can I get this file from different sources ? The one I have was from a dropbox link.
On Wed, 31 Mar 2021 at 14:39, Johan Aires Rastén @.***> wrote:
It looks like a memory leak; trying to allocate GPU memory in some loop? I can see from the nvidia tools that the GPU memory is getting eaten up and after that run.sh stops; and GPU memory goes back down to what it was before.
I can see from the backtrace you posted that this happens really early during startup, and there are no loops involved there. The function that fails is us telling PyTorch to load the checkpoint file, which for some reason thinks that you don't have enough GPU memory.
Regarding other processes, you don't even have a web browser open? It sounds like it's saying 632MB GPU RAM is allocated by someone else
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/alievk/avatarify-python/issues/385#issuecomment-811328756, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAI3WRYMDTOZWD5FSBCWCA3TGNT6JANCNFSM4YPBVTDQ .
-- Joao Machado @.***
JohanAR
commented
3 years ago There are 3 alternative download sources in the install instructions, though first run md5sum on the file to verify its contents
It was quite a long time since I installed avatarify-python, but I have two files 2DFAN4-11f355bf06.pth.tar and s3fd-619a316812.pth that I think have been created when running it (because they're not in the repo and you don't download them during installation).. But if you clone avatarify-python to a new folder, and follow the instructions from the beginning you should definitely end up with a clean install
Nene020
commented
9 months ago (base) C:\Users\hp>cd avatarify-python
(base) C:\Users\hp\avatarify-python>scripts\install_windows.bat conda found Channels:
environment location: C:\Users\hp\miniconda3\envs\avatarify
added / updated specs:
The following NEW packages will be INSTALLED:
ca-certificates pkgs/main/win-64::ca-certificates-2023.08.22-haa95532_0 certifi pkgs/main/win-64::certifi-2022.12.7-py37haa95532_0 openssl pkgs/main/win-64::openssl-1.1.1w-h2bbff1b_0 pip pkgs/main/win-64::pip-22.3.1-py37haa95532_0 python pkgs/main/win-64::python-3.7.16-h6244533_0 setuptools pkgs/main/win-64::setuptools-65.6.3-py37haa95532_0 sqlite pkgs/main/win-64::sqlite-3.41.2-h2bbff1b_0 vc pkgs/main/win-64::vc-14.2-h21ff451_1 vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2 wheel pkgs/main/win-64::wheel-0.38.4-py37haa95532_0 wincertstore pkgs/main/win-64::wincertstore-0.2-py37haa95532_2
Downloading and Extracting Packages:
Preparing transaction: done Verifying transaction: done Executing transaction: done #
#
#
#
Channels:
environment location: C:\Users\hp\miniconda3\envs\avatarify
added / updated specs:
The following NEW packages will be INSTALLED:
blosc conda-forge/win-64::blosc-1.21.5-hdccc3a2_0 brotli conda-forge/win-64::brotli-1.0.9-hcfcfb64_9 brotli-bin conda-forge/win-64::brotli-bin-1.0.9-hcfcfb64_9 bzip2 conda-forge/win-64::bzip2-1.0.8-hcfcfb64_5 cfitsio conda-forge/win-64::cfitsio-3.470-h0af3d06_7 charls conda-forge/win-64::charls-2.2.0-h39d44d4_0 cloudpickle conda-forge/noarch::cloudpickle-2.2.1-pyhd8ed1ab_0 cycler conda-forge/noarch::cycler-0.11.0-pyhd8ed1ab_0 cytoolz conda-forge/win-64::cytoolz-0.12.0-py37hcc03f2d_0 dask-core conda-forge/noarch::dask-core-2022.2.0-pyhd8ed1ab_0 fonttools conda-forge/win-64::fonttools-4.38.0-py37h51bd9d9_0 freetype conda-forge/win-64::freetype-2.12.1-hdaf720e_2 fsspec conda-forge/noarch::fsspec-2023.1.0-pyhd8ed1ab_0 giflib conda-forge/win-64::giflib-5.2.1-h64bf75a_3 imagecodecs pkgs/main/win-64::imagecodecs-2021.8.26-py37hc0a7faf_1 imageio conda-forge/noarch::imageio-2.31.5-pyh8c1a49c_0 intel-openmp conda-forge/win-64::intel-openmp-2023.2.0-h57928b3_50497 jpeg conda-forge/win-64::jpeg-9e-hcfcfb64_3 kiwisolver conda-forge/win-64::kiwisolver-1.4.4-py37h8c56517_0 lcms2 conda-forge/win-64::lcms2-2.14-h90d422f_0 lerc conda-forge/win-64::lerc-3.0-h0e60522_0 libaec conda-forge/win-64::libaec-1.1.2-h63175ca_1 libblas conda-forge/win-64::libblas-3.9.0-20_win64_mkl libbrotlicommon conda-forge/win-64::libbrotlicommon-1.0.9-hcfcfb64_9 libbrotlidec conda-forge/win-64::libbrotlidec-1.0.9-hcfcfb64_9 libbrotlienc conda-forge/win-64::libbrotlienc-1.0.9-hcfcfb64_9 libcblas conda-forge/win-64::libcblas-3.9.0-20_win64_mkl libdeflate conda-forge/win-64::libdeflate-1.8-h8ffe710_0 libhwloc conda-forge/win-64::libhwloc-2.9.3-default_haede6df_1009 libiconv conda-forge/win-64::libiconv-1.17-h8ffe710_0 liblapack conda-forge/win-64::liblapack-3.9.0-20_win64_mkl libpng conda-forge/win-64::libpng-1.6.39-h19919ed_0 libtiff pkgs/main/win-64::libtiff-4.4.0-h8a3f274_2 libwebp-base conda-forge/win-64::libwebp-base-1.3.2-hcfcfb64_0 libxcb conda-forge/win-64::libxcb-1.13-hcd874cb_1004 libxml2 conda-forge/win-64::libxml2-2.11.6-hc3477c8_0 libzlib conda-forge/win-64::libzlib-1.2.13-hcfcfb64_5 libzopfli conda-forge/win-64::libzopfli-1.0.3-h0e60522_0 locket conda-forge/noarch::locket-1.0.0-pyhd8ed1ab_0 lz4-c conda-forge/win-64::lz4-c-1.9.4-hcfcfb64_0 m2w64-gcc-libgfor~ conda-forge/win-64::m2w64-gcc-libgfortran-5.3.0-6 m2w64-gcc-libs conda-forge/win-64::m2w64-gcc-libs-5.3.0-7 m2w64-gcc-libs-co~ conda-forge/win-64::m2w64-gcc-libs-core-5.3.0-7 m2w64-gmp conda-forge/win-64::m2w64-gmp-6.1.0-2 m2w64-libwinpthre~ conda-forge/win-64::m2w64-libwinpthread-git-5.0.0.4634.697f757-2 matplotlib-base conda-forge/win-64::matplotlib-base-3.5.1-py37h4a79c79_0 mkl conda-forge/win-64::mkl-2023.2.0-h6a75c08_50497 msys2-conda-epoch conda-forge/win-64::msys2-conda-epoch-20160418-1 munkres conda-forge/noarch::munkres-1.1.4-pyh9f0ad1d_0 networkx conda-forge/noarch::networkx-2.7-pyhd8ed1ab_0 numpy conda-forge/win-64::numpy-1.19.0-py37hae9e721_0 openjpeg conda-forge/win-64::openjpeg-2.5.0-hc9384bd_1 packaging conda-forge/noarch::packaging-23.2-pyhd8ed1ab_0 pandas pkgs/main/win-64::pandas-1.2.4-py37hf11a4ad_0 partd conda-forge/noarch::partd-1.4.1-pyhd8ed1ab_0 pillow conda-forge/win-64::pillow-9.2.0-py37h42a8222_2 pthread-stubs conda-forge/win-64::pthread-stubs-0.4-hcd874cb_1001 pthreads-win32 conda-forge/win-64::pthreads-win32-2.9.1-hfa6e2cd_3 pyparsing conda-forge/noarch::pyparsing-3.1.1-pyhd8ed1ab_0 python-blosc conda-forge/win-64::python-blosc-1.7.0-py37h6538335_1001 python-dateutil conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0 python_abi conda-forge/win-64::python_abi-3.7-4_cp37m pytz conda-forge/noarch::pytz-2023.3.post1-pyhd8ed1ab_0 pywavelets conda-forge/win-64::pywavelets-1.3.0-py37hec80d1f_0 pyyaml conda-forge/win-64::pyyaml-6.0-py37hcc03f2d_4 scikit-image conda-forge/win-64::scikit-image-0.19.2-py37h9386db6_0 scipy conda-forge/win-64::scipy-1.7.3-py37hb6553fb_0 six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0 snappy conda-forge/win-64::snappy-1.1.10-hfb803bf_0 tbb conda-forge/win-64::tbb-2021.10.0-h91493d7_2 tifffile conda-forge/noarch::tifffile-2021.11.2-pyhd8ed1ab_0 tk conda-forge/win-64::tk-8.6.13-h5226925_1 toolz conda-forge/noarch::toolz-0.12.0-pyhd8ed1ab_0 typing-extensions conda-forge/noarch::typing-extensions-4.7.1-hd8ed1ab_0 typing_extensions conda-forge/noarch::typing_extensions-4.7.1-pyha770c72_0 ucrt conda-forge/win-64::ucrt-10.0.22621.0-h57928b3_0 unicodedata2 conda-forge/win-64::unicodedata2-14.0.0-py37hcc03f2d_1 vc14_runtime conda-forge/win-64::vc14_runtime-14.36.32532-hdcecf7f_17 xorg-libxau conda-forge/win-64::xorg-libxau-1.0.11-hcd874cb_0 xorg-libxdmcp conda-forge/win-64::xorg-libxdmcp-1.1.3-hcd874cb_0 xz conda-forge/win-64::xz-5.2.6-h8d14728_0 yaml conda-forge/win-64::yaml-0.2.5-h8ffe710_2 zfp conda-forge/win-64::zfp-0.5.5-h0e60522_8 zlib conda-forge/win-64::zlib-1.2.13-hcfcfb64_5 zstd conda-forge/win-64::zstd-1.5.5-h12be248_0
The following packages will be UPDATED:
ca-certificates pkgs/main::ca-certificates-2023.08.22~ --> conda-forge::ca-certificates-2023.11.17-h56e8100_0 certifi pkgs/main/win-64::certifi-2022.12.7-p~ --> conda-forge/noarch::certifi-2023.11.17-pyhd8ed1ab_0 openssl pkgs/main::openssl-1.1.1w-h2bbff1b_0 --> conda-forge::openssl-3.2.0-hcfcfb64_1 vs2015_runtime pkgs/main::vs2015_runtime-14.27.29016~ --> conda-forge::vs2015_runtime-14.36.32532-h05e6639_17
The following packages will be SUPERSEDED by a higher-priority channel:
python pkgs/main::python-3.7.16-h6244533_0 --> conda-forge::python-3.7.12-h900ac77_100_cpython
Downloading and Extracting Packages:
Preparing transaction: done Verifying transaction: done Executing transaction: done Channels:
environment location: C:\Users\hp\miniconda3\envs\avatarify
added / updated specs:
The following NEW packages will be INSTALLED:
blas pkgs/main/win-64::blas-1.0-mkl cudatoolkit pkgs/main/win-64::cudatoolkit-11.0.221-h74a9793_0 libuv pkgs/main/win-64::libuv-1.44.2-h2bbff1b_0 libwebp conda-forge/win-64::libwebp-1.3.2-hcfcfb64_1 ninja pkgs/main/win-64::ninja-1.10.2-haa95532_5 ninja-base pkgs/main/win-64::ninja-base-1.10.2-h6d14046_5 pytorch pytorch/win-64::pytorch-1.7.1-py3.7_cuda110_cudnn8_0 torchvision pytorch/win-64::torchvision-0.8.2-py37_cu110
The following packages will be UPDATED:
pillow conda-forge::pillow-9.2.0-py37h42a822~ --> pkgs/main::pillow-9.3.0-py37hdc2b20a_1
The following packages will be SUPERSEDED by a higher-priority channel:
jpeg conda-forge::jpeg-9e-hcfcfb64_3 --> pkgs/main::jpeg-9b-hb83a4c4_2 lcms2 conda-forge::lcms2-2.14-h90d422f_0 --> pkgs/main::lcms2-2.12-h83e58a3_0
Downloading and Extracting Packages:
Preparing transaction: done Verifying transaction: done Executing transaction: done Channels:
environment location: C:\Users\hp\miniconda3\envs\avatarify
added / updated specs:
The following NEW packages will be INSTALLED:
git anaconda/win-64::git-2.40.1-haa95532_1
Downloading and Extracting Packages:
Preparing transaction: done Verifying transaction: done Executing transaction: done Cloning into 'fomm'... remote: Enumerating objects: 211, done. remote: Total 211 (delta 0), reused 0 (delta 0), pack-reused 211Receiving objects: 87% (184/211), 57.88 MiB | 4.20 MiB/s Receiving objects: 100% (211/211), 58.16 MiB | 4.21 MiB/s, done. Resolving deltas: 100% (108/108), done. Collecting opencv-python>=4.2.0.34 Using cached opencv_python-4.8.1.78-cp37-abi3-win_amd64.whl (38.1 MB) Collecting face-alignment==1.3.3 Using cached face_alignment-1.3.3-py2.py3-none-any.whl Collecting pyzmq==20.0.0 Using cached pyzmq-20.0.0-cp37-cp37m-win_amd64.whl (1.0 MB) Collecting msgpack-numpy==0.4.7.1 Using cached msgpack_numpy-0.4.7.1-py2.py3-none-any.whl (6.7 kB) Collecting pyyaml==5.4 Using cached PyYAML-5.4-cp37-cp37m-win_amd64.whl (209 kB) Collecting requests==2.31.0 Using cached requests-2.31.0-py3-none-any.whl (62 kB) Collecting pyfakewebcam==0.1.0 Using cached pyfakewebcam-0.1.0-py3-none-any.whl Requirement already satisfied: torch in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from face-alignment==1.3.3->-r requirements.txt (line 2)) (1.7.1) Collecting numba Using cached numba-0.56.4-cp37-cp37m-win_amd64.whl (2.5 MB) Requirement already satisfied: scipy>=0.17 in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from face-alignment==1.3.3->-r requirements.txt (line 2)) (1.7.3) Collecting tqdm Using cached tqdm-4.66.1-py3-none-any.whl (78 kB) Requirement already satisfied: numpy in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from face-alignment==1.3.3->-r requirements.txt (line 2)) (1.19.0) Requirement already satisfied: scikit-image in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from face-alignment==1.3.3->-r requirements.txt (line 2)) (0.19.2) Collecting msgpack>=0.5.2 Using cached msgpack-1.0.5-cp37-cp37m-win_amd64.whl (62 kB) Requirement already satisfied: certifi>=2017.4.17 in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from requests==2.31.0->-r requirements.txt (line 6)) (2023.11.17) Collecting idna<4,>=2.5 Using cached idna-3.6-py3-none-any.whl (61 kB) Collecting charset-normalizer<4,>=2 Using cached charset_normalizer-3.3.2-cp37-cp37m-win_amd64.whl (98 kB) Collecting urllib3<3,>=1.21.1 Using cached urllib3-2.0.7-py3-none-any.whl (124 kB) Collecting importlib-metadata Using cached importlib_metadata-6.7.0-py3-none-any.whl (22 kB) Requirement already satisfied: setuptools in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from numba->face-alignment==1.3.3->-r requirements.txt (line 2)) (65.6.3) Collecting llvmlite<0.40,>=0.39.0dev0 Using cached llvmlite-0.39.1-cp37-cp37m-win_amd64.whl (23.2 MB) Requirement already satisfied: tifffile>=2019.7.26 in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from scikit-image->face-alignment==1.3.3->-r requirements.txt (line 2)) (2021.11.2) Requirement already satisfied: PyWavelets>=1.1.1 in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from scikit-image->face-alignment==1.3.3->-r requirements.txt (line 2)) (1.3.0) Requirement already satisfied: packaging>=20.0 in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from scikit-image->face-alignment==1.3.3->-r requirements.txt (line 2)) (23.2) Requirement already satisfied: pillow!=7.1.0,!=7.1.1,!=8.3.0,>=6.1.0 in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from scikit-image->face-alignment==1.3.3->-r requirements.txt (line 2)) (9.3.0) Requirement already satisfied: networkx>=2.2 in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from scikit-image->face-alignment==1.3.3->-r requirements.txt (line 2)) (2.7) Requirement already satisfied: imageio>=2.4.1 in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from scikit-image->face-alignment==1.3.3->-r requirements.txt (line 2)) (2.31.5) Requirement already satisfied: typing_extensions in c:\users\hp\miniconda3\envs\avatarify\lib\site-packages (from torch->face-alignment==1.3.3->-r requirements.txt (line 2)) (4.7.1) Collecting colorama Using cached colorama-0.4.6-py2.py3-none-any.whl (25 kB) Collecting zipp>=0.5 Using cached zipp-3.15.0-py3-none-any.whl (6.8 kB) Installing collected packages: msgpack, zipp, urllib3, pyzmq, pyyaml, pyfakewebcam, opencv-python, msgpack-numpy, llvmlite, idna, colorama, charset-normalizer, tqdm, requests, importlib-metadata, numba, face-alignment Attempting uninstall: pyyaml Found existing installation: PyYAML 6.0 Uninstalling PyYAML-6.0: Successfully uninstalled PyYAML-6.0 Successfully installed charset-normalizer-3.3.2 colorama-0.4.6 face-alignment-1.3.3 idna-3.6 importlib-metadata-6.7.0 llvmlite-0.39.1 msgpack-1.0.5 msgpack-numpy-0.4.7.1 numba-0.56.4 opencv-python-4.8.1.78 pyfakewebcam-0.1.0 pyyaml-5.4 pyzmq-20.0.0 requests-2.31.0 tqdm-4.66.1 urllib3-2.0.7 zipp-3.15.0
(avatarify) C:\Users\hp\avatarify-python>run_windows.bat [1701910038.089195] Loading Predictor C:\Users\hp\miniconda3\envs\avatarify\lib\site-packages\torch\nn\functional.py:3103: UserWarning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and now uses scale_factor directly, instead of relying on the computed output size. If you wish to restore the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. warnings.warn("The default behavior for interpolate/upsample with float scale_factor changed "
=== Control keys === 1-9: Change avatar 1: avatars\einstein.jpg 2: avatars\eminem.jpg 3: avatars\jobs.jpg 4: avatars\mona.jpg 5: avatars\obama.jpg 6: avatars\potter.jpg 7: avatars\ronaldo.png 8: avatars\schwarzenegger.png W: Zoom camera in S: Zoom camera out A: Previous avatar in folder D: Next avatar in folder Q: Get random avatar X: Calibrate face pose I: Show FPS ESC: Quit
Full key list: https://github.com/alievk/avatarify#controls
Traceback (most recent call last):
File "afy/cam_fomm.py", line 316, in cusparseCreate(handle)
(avatarify) C:\Users\hp\avatarify-python>
(avatarify) C:\Users\hp\avatarify-python>nvidia-smi Thu Dec 7 04:50:58 2023 +---------------------------------------------------------------------------------------+ | NVIDIA-SMI 546.12 Driver Version: 546.12 CUDA Version: 12.3 | |-----------------------------------------+----------------------+----------------------+ | GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 NVIDIA GeForce RTX 4060 ... WDDM | 00000000:01:00.0 Off | N/A | | N/A 48C P0 13W / 87W | 0MiB / 8188MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | No running processes found | +---------------------------------------------------------------------------------------+
(avatarify) C:\Users\hp\avatarify-python>
SanPatrick01
commented
9 months ago Here is it Download anydesk drop the address to my WhatsApp +234 811 513 3627
Or check my video on YouTube Avatarify easy installation https://youtu.be/nW5_-zPVmec
Nene020
commented
9 months ago I'm on NVIDIA GeForce RTX 4060, the cam windows opens everything is operational until i pre X to begin and the it close by it self giving this warning.
Traceback (most recent call last): File "afy/cam_fomm.py", line 316, in out = predictor.predict(frame) File "C:\Users\hp\avatarify-python\afy\predictor_local.py", line 104, in predict use_relative_jacobian=self.relative, adapt_movement_scale=self.adapt_movement_scale) File "C:\Users\hp\avatarify-python\afy\predictor_local.py", line 28, in normalize_kp jacobian_diff = torch.matmul(kp_driving['jacobian'], torch.inverse(kp_driving_initial['jacobian'])) RuntimeError: CUDA error: operation not supported when calling cusparseCreate(handle)
SanPatrick01
commented
9 months ago Get anydesk and send to my WhatsApp
+234 811 513 3627
Describe the bug
Info (please complete the following information):
OS Windows 10 version 20H2, OS Build19042.804
GPU model: NVIDIA GeForce RTX 3090
Any other relevant information: Conda Info:
Conda list:
:: Environment info