just fresh installed direct html for amd
tried to extract
help?
new install direct html intead of amd now making problems
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new install direct html intead of amd now making problems
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Re: new install direct html intead of amd now making problems
2023-07-29 21:36:41.987956: F tensorflow/c/logging.cc:43] HRESULT failed with 0x887a0005: readback_heap->Map(0, nullptr, &readback_heap_data)
not sure if this is what you meant
Re: new install direct html intead of amd now making problems
Code: Select all
Loading...
Setting Faceswap backend to DIRECTML
07/29/2023 21:36:19 INFO Log level set to: INFO
07/29/2023 21:36:21 INFO Loading Detect from S3Fd plugin...
07/29/2023 21:36:21 INFO Loading Align from Fan plugin...
07/29/2023 21:36:21 INFO Loading Mask from Components plugin...
07/29/2023 21:36:21 INFO Loading Mask from Extended plugin...
07/29/2023 21:36:21 INFO Loading Mask from Bisenet_Fp plugin...
07/29/2023 21:36:21 INFO Starting, this may take a while...--- Logging error ---
Traceback (most recent call last):
File "C:\Users\ben\MiniConda3\envs\faceswap\lib\logging\__init__.py", line 1103, in emit
stream.write(msg + self.terminator)
File "C:\Users\ben\MiniConda3\envs\faceswap\lib\encodings\cp1252.py", line 19, in encode
return codecs.charmap_encode(input,self.errors,encoding_table)[0]
UnicodeEncodeError: 'charmap' codec can't encode characters in position 59-61: character maps to <undefined>
Call stack:
File "C:\Users\ben\faceswap\faceswap.py", line 56, in <module>
_main()
File "C:\Users\ben\faceswap\faceswap.py", line 52, in _main
arguments.func(arguments)
File "C:\Users\ben\faceswap\lib\cli\launcher.py", line 225, in execute_script
process.process()
File "C:\Users\ben\faceswap\scripts\extract.py", line 165, in process
extract = _Extract(self._extractor, arguments)
File "C:\Users\ben\faceswap\scripts\extract.py", line 641, in __init__
logger.info("Output Directory: %s", self._output_dir)
Message: 'Output Directory: %s'
Arguments: ('C:\\faceswap\\\u05d0\u05e0\u05d9',)
07/29/2023 21:36:22 WARNING The frame size for reading (1080, 1920) is different from the source frame size (1920, 1080).
07/29/2023 21:36:22 INFO Initializing S3FD (Detect)...
07/29/2023 21:36:22 WARNING The frame size for reading (1080, 1920) is different from the source frame size (1920, 1080).
07/29/2023 21:36:23 INFO Initialized S3FD (Detect) with batchsize of 4
07/29/2023 21:36:23 INFO Initializing FAN (Align)...
07/29/2023 21:36:33 INFO Initialized FAN (Align) with batchsize of 12
07/29/2023 21:36:33 INFO Initializing Components (Mask)...
07/29/2023 21:36:33 INFO Initialized Components (Mask) with batchsize of 1
07/29/2023 21:36:33 INFO Initializing Extended (Mask)...
07/29/2023 21:36:33 INFO Initialized Extended (Mask) with batchsize of 1
07/29/2023 21:36:33 INFO Initializing BiSeNet - Face Parsing (Mask)...
07/29/2023 21:36:35 INFO Initialized BiSeNet - Face Parsing (Mask) with batchsize of 8
2023-07-29 21:36:41.987956: F tensorflow/c/logging.cc:43] HRESULT failed with 0x887a0005: readback_heap->Map(0, nullptr, &readback_heap_data)
Process exited.
Re: new install direct html intead of amd now making problems
Ok, there is a lot going on here....
Can you post the output of this please: app.php/rules#rule-4b
My word is final
Re: new install direct html intead of amd now making problems
Code: Select all
============ System Information ============
backend: directml
encoding: cp1252
git_branch: master
git_commits: 81e3bf5 Merge pull request #1331 from torzdf/macos
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: Radeon RX 590 Series
gpu_devices_active: GPU_0
gpu_driver: 31.0.12027.9001
gpu_vram: GPU_0: 8170MB (7402MB free)
os_machine: AMD64
os_platform: Windows-10-10.0.22621-SP0
os_release: 10
py_command: C:\Users\ben\faceswap/faceswap.py gui
py_conda_version: conda 23.7.2
py_implementation: CPython
py_version: 3.10.12
py_virtual_env: True
sys_cores: 6
sys_processor: Intel64 Family 6 Model 158 Stepping 13, GenuineIntel
sys_ram: Total: 16301MB, Available: 10706MB, Used: 5594MB, Free: 10706MB
=============== Pip Packages ===============
absl-py==1.4.0
appdirs==1.4.4
astunparse==1.6.3
brotlipy==0.7.0
cachetools==5.3.1
certifi @ file:///C:/b/abs_36eb5mzhph/croot/certifi_1690232276943/work/certifi
cffi @ file:///C:/b/abs_49n3v2hyhr/croot/cffi_1670423218144/work
charset-normalizer @ file:///tmp/build/80754af9/charset-normalizer_1630003229654/work
colorama @ file:///C:/b/abs_a9ozq0l032/croot/colorama_1672387194846/work
comtypes @ file:///C:/b/abs_1coomkk_86/croot/comtypes_1678829787230/work
contourpy @ file:///C:/b/abs_d5rpy288vc/croots/recipe/contourpy_1663827418189/work
cryptography @ file:///C:/b/abs_13590mi9q9/croot/cryptography_1689373706078/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
fastcluster @ file:///D:/bld/fastcluster_1649783460966/work
ffmpy @ file:///home/conda/feedstock_root/build_artifacts/ffmpy_1659474992694/work
flatbuffers==23.5.26
fonttools==4.25.0
gast==0.4.0
google-auth==2.22.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.56.2
h5py==3.9.0
idna @ file:///C:/b/abs_bdhbebrioa/croot/idna_1666125572046/work
imageio @ file:///C:/b/abs_27kq2gy1us/croot/imageio_1677879918708/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1673483481485/work
joblib @ file:///C:/b/abs_1anqjntpan/croot/joblib_1685113317150/work
keras==2.10.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/b/abs_88mdhvtahm/croot/kiwisolver_1672387921783/work
libclang==16.0.6
Markdown==3.4.4
MarkupSafe==2.1.3
matplotlib @ file:///C:/b/abs_49b2acwxd4/croot/matplotlib-suite_1679593486357/work
mkl-fft==1.3.6
mkl-random @ file:///C:/Users/dev-admin/mkl/mkl_random_1682977971003/work
mkl-service==2.4.0
munkres==1.1.4
numexpr @ file:///C:/b/abs_afm0oewmmt/croot/numexpr_1683221839116/work
numpy @ file:///C:/b/abs_5akk51tu0f/croot/numpy_and_numpy_base_1687466253743/work
oauthlib==3.2.2
opencv-python==4.8.0.74
opt-einsum==3.3.0
packaging @ file:///C:/b/abs_ed_kb9w6g4/croot/packaging_1678965418855/work
Pillow==9.4.0
ply==3.11
pooch @ file:///tmp/build/80754af9/pooch_1623324770023/work
protobuf==3.19.6
psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
pyasn1==0.5.0
pyasn1-modules==0.3.0
pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work
pyOpenSSL @ file:///C:/b/abs_08f38zyck4/croot/pyopenssl_1690225407403/work
pyparsing @ file:///C:/Users/BUILDE~1/AppData/Local/Temp/abs_7f_7lba6rl/croots/recipe/pyparsing_1661452540662/work
PyQt5==5.15.7
PyQt5-sip @ file:///C:/Windows/Temp/abs_d7gmd2jg8i/croots/recipe/pyqt-split_1659273064801/work/pyqt_sip
PySocks @ file:///C:/ci_310/pysocks_1642089375450/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==305.1
pywinpty @ file:///C:/ci_310/pywinpty_1644230983541/work/target/wheels/pywinpty-2.0.2-cp310-none-win_amd64.whl
requests @ file:///C:/b/abs_316c2inijk/croot/requests_1690400295842/work
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///C:/b/abs_38k7ridbgr/croot/scikit-learn_1684954723009/work
scipy==1.10.1
sip @ file:///C:/Windows/Temp/abs_b8fxd17m2u/croots/recipe/sip_1659012372737/work
six @ file:///tmp/build/80754af9/six_1644875935023/work
tensorboard==2.10.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow-cpu==2.10.0
tensorflow-directml-plugin==0.4.0.dev230202
tensorflow-estimator==2.10.0
tensorflow-io-gcs-filesystem==0.31.0
tensorflow_intel==2.10.0
termcolor==2.3.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
tornado @ file:///C:/ci/tornado_1662476985533/work
tqdm @ file:///C:/b/abs_f76j9hg7pv/croot/tqdm_1679561871187/work
typing_extensions==4.7.1
urllib3 @ file:///C:/b/abs_889_loyqv4/croot/urllib3_1686163174463/work
Werkzeug==2.3.6
win-inet-pton @ file:///C:/ci_310/win_inet_pton_1642658466512/work
wrapt==1.15.0
============== Conda Packages ==============
# packages in environment at C:\Users\ben\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 1.4.0 pypi_0 pypi
appdirs 1.4.4 pyhd3eb1b0_0
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
brotlipy 0.7.0 py310h2bbff1b_1002
bzip2 1.0.8 he774522_0
ca-certificates 2023.05.30 haa95532_0
cachetools 5.3.1 pypi_0 pypi
certifi 2023.7.22 py310haa95532_0
cffi 1.15.1 py310h2bbff1b_3
charset-normalizer 2.0.4 pyhd3eb1b0_0
colorama 0.4.6 py310haa95532_0
comtypes 1.1.14 py310haa95532_0
contourpy 1.0.5 py310h59b6b97_0
cryptography 41.0.2 py310h31511bf_0
cycler 0.11.0 pyhd3eb1b0_0
fastcluster 1.2.6 py310hf5e1058_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.3.0 pyhb6f538c_0 conda-forge
flatbuffers 23.5.26 pypi_0 pypi
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 ha860e81_0
gast 0.4.0 pypi_0 pypi
giflib 5.2.1 h8cc25b3_3
git 2.40.1 haa95532_1
glib 2.69.1 h5dc1a3c_2
google-auth 2.22.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.56.2 pypi_0 pypi
gst-plugins-base 1.18.5 h9e645db_0
gstreamer 1.18.5 hd78058f_0
h5py 3.9.0 pypi_0 pypi
icc_rt 2022.1.0 h6049295_2
icu 58.2 ha925a31_3
idna 3.4 py310haa95532_0
imageio 2.26.0 py310haa95532_0
imageio-ffmpeg 0.4.8 pyhd8ed1ab_0 conda-forge
intel-openmp 2023.1.0 h59b6b97_46319
joblib 1.2.0 py310haa95532_0
jpeg 9e h2bbff1b_1
keras 2.10.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.4 py310hd77b12b_0
krb5 1.19.4 h5b6d351_0
lerc 3.0 hd77b12b_0
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libclang 16.0.6 pypi_0 pypi
libclang13 14.0.6 default_h8e68704_1
libdeflate 1.17 h2bbff1b_0
libffi 3.4.4 hd77b12b_0
libiconv 1.16 h2bbff1b_2
libogg 1.3.5 h2bbff1b_1
libpng 1.6.39 h8cc25b3_0
libtiff 4.5.0 h6c2663c_2
libvorbis 1.3.7 he774522_0
libwebp 1.2.4 hbc33d0d_1
libwebp-base 1.2.4 h2bbff1b_1
libxml2 2.10.3 h0ad7f3c_0
libxslt 1.1.37 h2bbff1b_0
lz4-c 1.9.4 h2bbff1b_0
markdown 3.4.4 pypi_0 pypi
markupsafe 2.1.3 pypi_0 pypi
matplotlib 3.7.1 py310haa95532_1
matplotlib-base 3.7.1 py310h4ed8f06_1
mkl 2023.1.0 h8bd8f75_46356
mkl-service 2.4.0 py310h2bbff1b_1
mkl_fft 1.3.6 py310h4ed8f06_1
mkl_random 1.2.2 py310h4ed8f06_1
munkres 1.1.4 py_0
numexpr 2.8.4 py310h2cd9be0_1
numpy 1.25.0 py310h055cbcc_0
numpy-base 1.25.0 py310h65a83cf_0
oauthlib 3.2.2 pypi_0 pypi
opencv-python 4.8.0.74 pypi_0 pypi
openssl 1.1.1u h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 23.0 py310haa95532_0
pcre 8.45 hd77b12b_0
pillow 9.4.0 py310hd77b12b_0
pip 23.2.1 py310haa95532_0
ply 3.11 py310haa95532_0
pooch 1.4.0 pyhd3eb1b0_0
protobuf 3.19.6 pypi_0 pypi
psutil 5.9.0 py310h2bbff1b_0
pyasn1 0.5.0 pypi_0 pypi
pyasn1-modules 0.3.0 pypi_0 pypi
pycparser 2.21 pyhd3eb1b0_0
pyopenssl 23.2.0 py310haa95532_0
pyparsing 3.0.9 py310haa95532_0
pyqt 5.15.7 py310hd77b12b_0
pyqt5-sip 12.11.0 py310hd77b12b_0
pysocks 1.7.1 py310haa95532_0
python 3.10.12 h966fe2a_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.10 2_cp310 conda-forge
pywin32 305 py310h2bbff1b_0
pywinpty 2.0.2 py310h5da7b33_0
qt-main 5.15.2 he8e5bd7_8
qt-webengine 5.15.9 hb9a9bb5_5
qtwebkit 5.212 h2bbfb41_5
requests 2.31.0 py310haa95532_0
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-learn 1.2.2 py310hd77b12b_1
scipy 1.10.1 py310h309d312_1
setuptools 68.0.0 py310haa95532_0
sip 6.6.2 py310hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.41.2 h2bbff1b_0
tbb 2021.8.0 h59b6b97_0
tensorboard 2.10.1 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow-cpu 2.10.0 pypi_0 pypi
tensorflow-directml-plugin 0.4.0.dev230202 pypi_0 pypi
tensorflow-estimator 2.10.0 pypi_0 pypi
tensorflow-intel 2.10.0 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.31.0 pypi_0 pypi
termcolor 2.3.0 pypi_0 pypi
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.12 h2bbff1b_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.2 py310h2bbff1b_0
tqdm 4.65.0 py310h9909e9c_0
typing-extensions 4.7.1 pypi_0 pypi
tzdata 2023c h04d1e81_0
urllib3 1.26.16 py310haa95532_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.3.6 pypi_0 pypi
wheel 0.38.4 py310haa95532_0
win_inet_pton 1.1.0 py310haa95532_0
winpty 0.4.3 4
wrapt 1.15.0 pypi_0 pypi
xz 5.4.2 h8cc25b3_0
zlib 1.2.13 h8cc25b3_0
zstd 1.5.5 hd43e919_0
================= Configs ==================
--------- .faceswap ---------
backend: directml
--------- 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.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
erosion_top: 0.0
erosion_bottom: 0.0
erosion_left: 0.0
erosion_right: 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
separate_mask: False
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
separate_mask: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: False
aligner_min_scale: 0.07
aligner_max_scale: 2.0
aligner_distance: 22.5
aligner_roll: 45.0
aligner_features: True
filter_refeed: True
save_filtered: False
realign_refeeds: True
filter_realign: True
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
cpu: True
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
cpu: False
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.custom]
batch-size: 8
centering: face
fill: False
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
[recognition.vgg_face2]
batch-size: 16
cpu: False
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 30
console_panel_height: 20
icon_size: 14
font: default
font_size: 9
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True
--------- train.ini ---------
[global]
centering: face
coverage: 87.5
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
save_optimizer: exit
autoclip: False
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
loss_function_2: mse
loss_weight_2: 100
loss_function_3: none
loss_weight_3: 0
loss_function_4: none
loss_weight_4: 0
mask_loss_function: mse
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
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: 7
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_upscales_in_fc: 0
dec_norm: none
dec_min_filters: 64
dec_max_filters: 512
dec_slope_mode: full
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
fs_original_use_alt: False
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
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.villain]
lowmem: False
[trainer.original]
preview_images: 14
mask_opacity: 30
mask_color: #ff0000
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
Re: new install direct html intead of amd now making problems
Ok, it looks like your output folder has special characters in the path.
I want to have encoding errors handled better, but in the meantime, try to specify a folder which has standard latin characters in the path.
My word is final
Re: new install direct html intead of amd now making problems
ok it was the input and output folder in hebrew lol
changed the names to english and now it works.
thanks a lot