I thoroughly cleaned everything again on the AMD RYZEN/RADEON laptop.
After re-installation this is the error I get:
Code: Select all
06/04/2022 13:19:19 MainProcess MainThread logger log_setup INFO Log level set to: INFO
Traceback (most recent call last):
File "C:\Users\Athar\faceswap\lib\cli\launcher.py", line 180, in execute_script
script = self._import_script()
File "C:\Users\Athar\faceswap\lib\cli\launcher.py", line 41, in _import_script
self._test_for_tf_version()
File "C:\Users\Athar\faceswap\lib\cli\launcher.py", line 64, in _test_for_tf_version
import tensorflow as tf # noqa pylint:disable=import-outside-toplevel,unused-import
File "C:\Users\Athar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "C:\Users\Athar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\__init__.py", line 53, in <module>
from tensorflow.core.framework.graph_pb2 import *
File "C:\Users\Athar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\core\framework\graph_pb2.py", line 16, in <module>
from tensorflow.core.framework import function_pb2 as tensorflow_dot_core_dot_framework_dot_function__pb2
File "C:\Users\Athar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\core\framework\function_pb2.py", line 16, in <module>
from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr__value__pb2
File "C:\Users\Athar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\core\framework\attr_value_pb2.py", line 16, in <module>
from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__pb2
File "C:\Users\Athar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\core\framework\tensor_pb2.py", line 16, in <module>
from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resource__handle__pb2
File "C:\Users\Athar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\core\framework\resource_handle_pb2.py", line 16, in <module>
from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2
File "C:\Users\Athar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\core\framework\tensor_shape_pb2.py", line 36, in <module>
_descriptor.FieldDescriptor(
File "C:\Users\Athar\MiniConda3\envs\faceswap\lib\site-packages\google\protobuf\descriptor.py", line 560, in __new__
_message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
The following is the Sysinfo output from the FaceSwap folder:
Code: Select all
============ System Information ============
encoding: cp1252
git_branch: Not Found
git_commits: Not Found
gpu_cuda: No global version found. Check Conda packages for Conda Cuda
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: Advanced Micro Devices, Inc. - gfx90c (experimental)
gpu_devices_active: GPU_0
gpu_driver: ['3302.6 (PAL,HSAIL)']
gpu_vram: GPU_0: 5643MB
os_machine: AMD64
os_platform: Windows-10-10.0.22000-SP0
os_release: 10
py_command: C:\Users\Athar\faceswap/faceswap.py gui
py_conda_version: conda 4.13.0
py_implementation: CPython
py_version: 3.8.13
py_virtual_env: True
sys_cores: 16
sys_processor: AMD64 Family 23 Model 104 Stepping 1, AuthenticAMD
sys_ram: Total: 10101MB, Available: 4028MB, Used: 6073MB, Free: 4028MB
=============== Pip Packages ===============
absl-py==1.1.0
astunparse==1.6.3
cachetools==4.2.4
certifi==2022.5.18.1
cffi==1.15.0
charset-normalizer==2.0.12
colorama @ file:///tmp/build/80754af9/colorama_1607707115595/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
enum34==1.1.10
fastcluster @ file:///D:/bld/fastcluster_1649783471515/work
ffmpy==0.2.3
fonttools==4.25.0
gast==0.3.3
google-auth==1.35.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.46.3
h5py==2.10.0
idna==3.3
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1649960641006/work
importlib-metadata==4.11.4
joblib @ file:///tmp/build/80754af9/joblib_1635411271373/work
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1653292408254/work
Markdown==3.3.7
matplotlib @ file:///C:/ci/matplotlib-suite_1647423638658/work
mkl-fft==1.3.1
mkl-random @ file:///C:/ci/mkl_random_1626186184278/work
mkl-service==2.4.0
munkres==1.1.4
numpy==1.18.5
nvidia-ml-py==11.510.69
oauthlib==3.2.0
opencv-python==4.5.5.64
opt-einsum==3.3.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
Pillow==9.0.1
plaidml==0.7.0
plaidml-keras==0.7.0
protobuf==4.21.1
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.21
pyparsing @ file:///tmp/build/80754af9/pyparsing_1635766073266/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==302
PyYAML==6.0
requests==2.27.1
requests-oauthlib==1.3.1
rsa==4.8
scikit-learn @ file:///C:/ci/scikit-learn_1642599125707/work
scipy @ file:///C:/ci/scipy_1641555198988/work
sip==4.19.13
six @ file:///tmp/build/80754af9/six_1644875935023/work
tensorboard==2.2.2
tensorboard-plugin-wit==1.8.1
tensorflow==2.2.3
tensorflow-estimator==2.2.0
termcolor==1.1.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///C:/ci/tqdm_1650618053064/work
urllib3==1.26.9
Werkzeug==2.1.2
wincertstore==0.2
wrapt==1.14.1
zipp==3.8.0
============== Conda Packages ==============
# packages in environment at C:\Users\Athar\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 1.1.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 ha925a31_2
ca-certificates 2022.4.26 haa95532_0
cachetools 4.2.4 pypi_0 pypi
certifi 2022.5.18.1 py38haa95532_0
cffi 1.15.0 pypi_0 pypi
charset-normalizer 2.0.12 pypi_0 pypi
colorama 0.4.4 pyhd3eb1b0_0
cycler 0.11.0 pyhd3eb1b0_0
enum34 1.1.10 pypi_0 pypi
fastcluster 1.2.6 py38hcc40339_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.2.3 pypi_0 pypi
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
gast 0.3.3 pypi_0 pypi
git 2.34.1 haa95532_0
google-auth 1.35.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.46.3 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.3 pypi_0 pypi
imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.7 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.11.4 pypi_0 pypi
intel-openmp 2021.4.0 haa95532_3556
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9e h2bbff1b_0
keras 2.2.4 pypi_0 pypi
keras-applications 1.0.8 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.2 py38hd77b12b_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.2.0 he0120a3_1
libwebp 1.2.2 h2bbff1b_0
lz4-c 1.9.3 h2bbff1b_1
markdown 3.3.7 pypi_0 pypi
matplotlib 3.5.1 py38haa95532_1
matplotlib-base 3.5.1 py38hd77b12b_1
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py38h2bbff1b_0
mkl_fft 1.3.1 py38h277e83a_0
mkl_random 1.2.2 py38hf11a4ad_0
munkres 1.1.4 py_0
numpy 1.18.5 pypi_0 pypi
nvidia-ml-py 11.510.69 pypi_0 pypi
oauthlib 3.2.0 pypi_0 pypi
opencv-python 4.5.5.64 pypi_0 pypi
openssl 1.1.1o h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 21.3 pyhd3eb1b0_0
pillow 9.0.1 py38hdc2b20a_0
pip 21.2.2 py38haa95532_0
plaidml 0.7.0 pypi_0 pypi
plaidml-keras 0.7.0 pypi_0 pypi
protobuf 4.21.1 pypi_0 pypi
psutil 5.8.0 py38h2bbff1b_1
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycparser 2.21 pypi_0 pypi
pyparsing 3.0.4 pyhd3eb1b0_0
pyqt 5.9.2 py38hd77b12b_6
python 3.8.13 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.8 2_cp38 conda-forge
pywin32 302 py38h2bbff1b_2
pyyaml 6.0 pypi_0 pypi
qt 5.9.7 vc14h73c81de_0
requests 2.27.1 pypi_0 pypi
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.8 pypi_0 pypi
scikit-learn 1.0.2 py38hf11a4ad_1
scipy 1.7.3 py38h0a974cb_0
setuptools 61.2.0 py38haa95532_0
sip 4.19.13 py38hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.38.3 h2bbff1b_0
tensorboard 2.2.2 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow 2.2.3 pypi_0 pypi
tensorflow-estimator 2.2.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.12 h2bbff1b_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.64.0 py38haa95532_0
urllib3 1.26.9 pypi_0 pypi
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.1.2 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0
wincertstore 0.2 py38haa95532_2
wrapt 1.14.1 pypi_0 pypi
xz 5.2.5 h8cc25b3_1
zipp 3.8.0 pypi_0 pypi
zlib 1.2.12 h8cc25b3_2
zstd 1.5.2 h19a0ad4_0
================= Configs ==================
--------- .faceswap ---------
backend: amd
--------- convert.ini ---------
[color.color_transfer]
clip: True
preserve_paper: True
[color.manual_balance]
colorspace: HSV
balance_1: 0.0
balance_2: 0.0
balance_3: 0.0
contrast: 0.0
brightness: 0.0
[color.match_hist]
threshold: 99.0
[mask.box_blend]
type: gaussian
distance: 11.0
radius: 5.0
passes: 1
[mask.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
[scaling.sharpen]
method: none
amount: 150
radius: 0.3
threshold: 5.0
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 23
preset: medium
tune: none
profile: auto
level: auto
skip_mux: False
[writer.gif]
fps: 25
loop: 0
palettesize: 256
subrectangles: False
[writer.opencv]
format: png
draw_transparent: False
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: False
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.bisenet_fp]
batch-size: 8
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- train.ini ---------
[global]
centering: face
coverage: 87.5
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
mask_loss_function: mse
l2_reg_term: 100
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[model.dfaker]
output_size: 128
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
clipnorm: True
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: best
details: good
output_size: 256
[model.original]
lowmem: False
[model.phaze_a]
output_size: 128
shared_fc: none
enable_gblock: True
split_fc: True
split_gblock: False
split_decoders: False
enc_architecture: fs_original
enc_scaling: 40
enc_load_weights: True
bottleneck_type: dense
bottleneck_norm: none
bottleneck_size: 1024
bottleneck_in_encoder: True
fc_depth: 1
fc_min_filters: 1024
fc_max_filters: 1024
fc_dimensions: 4
fc_filter_slope: -0.5
fc_dropout: 0.0
fc_upsampler: upsample2d
fc_upsamples: 1
fc_upsample_filters: 512
fc_gblock_depth: 3
fc_gblock_min_nodes: 512
fc_gblock_max_nodes: 512
fc_gblock_filter_slope: -0.5
fc_gblock_dropout: 0.0
dec_upscale_method: subpixel
dec_norm: none
dec_min_filters: 64
dec_max_filters: 512
dec_filter_slope: -0.45
dec_res_blocks: 1
dec_output_kernel: 5
dec_gaussian: True
dec_skip_last_residual: True
freeze_layers: keras_encoder
load_layers: encoder
fs_original_depth: 4
fs_original_min_filters: 128
fs_original_max_filters: 1024
mobilenet_width: 1.0
mobilenet_depth: 1
mobilenet_dropout: 0.001
mobilenet_minimalistic: False
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.unbalanced]
input_size: 128
lowmem: False
clipnorm: True
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.villain]
lowmem: False
[trainer.original]
preview_images: 14
zoom_amount: 5
rotation_range: 10
shift_range: 5
flip_chance: 50
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4
Thank you for all the help thus far.