Hello, I installed Faceswap today and when the installation completed I tried opening the app and I got a cmd to open and start running lines when an error popped up that said this: "A DLL library file failed to load. Make sure that you have Microsoft Visual C++ Redistributable (2015, 2017, 2019) installed for your machine from: https://support.microsoft.com/en-gb/help/2977003". I already knew I had the redist installed but I still double checked and repaired it in case it was broken. I ran Faceswap again and got the same error message. Any way to fix this? Thanks.
Microsoft Visual C++ Redist error
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Re: Microsoft Visual C++ Redist error
Start > Anaconda Prompt
Code: Select all
conda activate faceswap
cd faceswap
python -c "from lib.sysinfo import sysinfo ; print(sysinfo)"
Post output
My word is final
- willcai1984
- Posts: 1
- Joined: Fri Oct 02, 2020 1:19 pm
Re: Microsoft Visual C++ Redist error
I have the same problem and my log is
https://www.yuque.com/docs/share/c0812d ... e66bf5bd44
Microsoft Visual C++ error
Code: Select all
(base) C:\Users\Thiago Henrique>conda activate faceswap
(faceswap) C:\Users\Thiago Henrique>cd ..
(faceswap) C:\Users>cd ..
(faceswap) C:\>cd "Program Files"
(faceswap) C:\Program Files>cd faceswap
(faceswap) C:\Program Files\faceswap>python -c "from lib.sysinfo import sysinfo ; print(sysinfo)"
Setting Faceswap backend to NVIDIA
'C:\Users\Thiago' não é reconhecido como um comando interno
ou externo, um programa operável ou um arquivo em lotes.
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 8861101 Setup.py - Minor change to cudnn locator
gpu_cuda: 11.1
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: GeForce GTX 1050
gpu_devices_active: GPU_0
gpu_driver: 456.55
gpu_vram: GPU_0: 2048MB
os_machine: AMD64
os_platform: Windows-10-10.0.18362-SP0
os_release: 10
py_command: -c
py_conda_version: conda 4.8.5
py_implementation: CPython
py_version: 3.8.5
py_virtual_env: True
sys_cores: 2
sys_processor: Intel64 Family 6 Model 23 Stepping 10, GenuineIntel
sys_ram: Total: 6142MB, Available: 3066MB, Used: 3075MB, Free: 3066MB
=============== Pip Packages ===============
============== Conda Packages ==============
# packages in environment at C:\Users\Thiago Henrique\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 0.10.0 pypi_0 pypi
aiohttp 3.6.2 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
async-timeout 3.0.1 pypi_0 pypi
attrs 20.2.0 pypi_0 pypi
blas 1.0 mkl
ca-certificates 2020.7.22 0
cachetools 4.1.1 pypi_0 pypi
certifi 2020.6.20 py38_0
chardet 3.0.4 pypi_0 pypi
cudatoolkit 10.1.243 h74a9793_0
cudnn 7.6.5 cuda10.1_0
cycler 0.10.0 py38_0
fastcluster 1.1.26 py38hbe40bda_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.2.3 pypi_0 pypi
freetype 2.10.2 hd328e21_0
gast 0.3.3 pypi_0 pypi
git 2.23.0 h6bb4b03_0
google-auth 1.22.0 pypi_0 pypi
google-auth-oauthlib 0.4.1 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.32.0 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 pypi_0 pypi
imageio 2.9.0 py_0
imageio-ffmpeg 0.4.2 py_0 conda-forge
intel-openmp 2020.2 254
joblib 0.16.0 py_0
jpeg 9b hb83a4c4_2
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.2.0 py38h74a9793_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.1.0 h56a325e_1
lz4-c 1.9.2 h62dcd97_1
markdown 3.2.2 pypi_0 pypi
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38hb782905_0
mkl_fft 1.2.0 py38h45dec08_0
mkl_random 1.1.1 py38h47e9c7a_0
multidict 4.7.6 pypi_0 pypi
numpy 1.18.5 pypi_0 pypi
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 pypi_0 pypi
olefile 0.46 py_0
opencv-python 4.4.0.44 pypi_0 pypi
openssl 1.1.1h he774522_0
opt-einsum 3.3.0 pypi_0 pypi
pathlib 1.0.1 py_1
pillow 7.2.0 py38hcc1f983_0
pip 20.2.2 py38_0
protobuf 3.13.0 pypi_0 pypi
psutil 5.7.2 py38he774522_0
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pyparsing 2.4.7 py_0
pyqt 5.9.2 py38ha925a31_4
python 3.8.5 h5fd99cc_1
python-dateutil 2.8.1 py_0
python_abi 3.8 1_cp38 conda-forge
pywin32 227 py38he774522_1
qt 5.9.7 vc14h73c81de_0
requests 2.24.0 pypi_0 pypi
requests-oauthlib 1.3.0 pypi_0 pypi
rsa 4.6 pypi_0 pypi
scikit-learn 0.23.2 py38h47e9c7a_0
scipy 1.5.0 py38h9439919_0
setuptools 49.6.0 py38_1
sip 4.19.13 py38ha925a31_0
six 1.15.0 py_0
sqlite 3.33.0 h2a8f88b_0
tensorboard 2.2.2 pypi_0 pypi
tensorboard-plugin-wit 1.7.0 pypi_0 pypi
tensorflow-gpu 2.2.1 pypi_0 pypi
tensorflow-gpu-estimator 2.2.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
tornado 6.0.4 py38he774522_1
tqdm 4.49.0 py_0
urllib3 1.25.10 pypi_0 pypi
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
werkzeug 1.0.1 pypi_0 pypi
wheel 0.35.1 py_0
wincertstore 0.2 py38_0
wrapt 1.12.1 pypi_0 pypi
xz 5.2.5 h62dcd97_0
yarl 1.6.0 pypi_0 pypi
zlib 1.2.11 h62dcd97_4
zstd 1.4.5 h04227a9_0
================= Configs ==================
--------- .faceswap ---------
backend: nvidia
--------- 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: unsharp_mask
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
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
scalefactor: 0.709
batch-size: 8
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- train.ini ---------
[global]
coverage: 68.75
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
reflect_padding: False
allow_growth: False
mixed_precision: False
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.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.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
disable_warp: False
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4
(faceswap) C:\Program Files\faceswap>
- hellofadull
- Posts: 2
- Joined: Fri Oct 02, 2020 11:57 pm
- Has thanked: 1 time
Re: Microsoft Visual C++ Redist error
torzdf wrote: ↑Wed Sep 30, 2020 7:30 pmStart > Anaconda Prompt
Code: Select all
conda activate faceswap cd faceswap python -c "from lib.sysinfo import sysinfo ; print(sysinfo)"
Post output
Same problem here as OP. Latest Microsoft Visual C++ Redist 2015-2019 is installed.
Code: Select all
Setting Faceswap backend to NVIDIA
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 8861101 Setup.py - Minor change to cudnn locator
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: GeForce GTX 970
gpu_devices_active: GPU_0
gpu_driver: 451.48
gpu_vram: GPU_0: 4096MB
os_machine: AMD64
os_platform: Windows-10-10.0.17763-SP0
os_release: 10
py_command: -c
py_conda_version: conda 4.8.5
py_implementation: CPython
py_version: 3.8.5
py_virtual_env: True
sys_cores: 8
sys_processor: Intel64 Family 6 Model 30 Stepping 5, GenuineIntel
sys_ram: Total: 8183MB, Available: 5159MB, Used: 3024MB, Free: 5159MB
=============== Pip Packages ===============
absl-py==0.10.0
aiohttp==3.6.2
astunparse==1.6.3
async-timeout==3.0.1
attrs==20.2.0
cachetools==4.1.1
certifi==2020.6.20
chardet==3.0.4
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
gast==0.3.3
google-auth==1.22.0
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.32.0
h5py==2.10.0
idna==2.10
imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1589202782679/work
joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work
Keras-Preprocessing==1.1.2
kiwisolver==1.2.0
Markdown==3.2.2
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.2.0
mkl-random==1.1.1
mkl-service==2.3.0
multidict==4.7.6
numpy==1.18.5
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.4.0.44
opt-einsum==3.3.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1594298230227/work
protobuf==3.13.0
psutil @ file:///C:/ci/psutil_1598370330503/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing==2.4.7
python-dateutil==2.8.1
pywin32==227
requests==2.24.0
requests-oauthlib==1.3.0
rsa==4.6
scikit-learn @ file:///C:/ci/scikit-learn_1598377018496/work
scipy @ file:///C:/ci/scipy_1592916963468/work
sip==4.19.13
six==1.15.0
tensorboard==2.2.2
tensorboard-plugin-wit==1.7.0
tensorflow-gpu==2.2.1
tensorflow-gpu-estimator==2.2.0
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tornado==6.0.4
tqdm @ file:///tmp/build/80754af9/tqdm_1600709023549/work
urllib3==1.25.10
Werkzeug==1.0.1
wincertstore==0.2
wrapt==1.12.1
yarl==1.6.0
============== Conda Packages ==============
# packages in environment at C:\Users\Studio\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 0.10.0 pypi_0 pypi
aiohttp 3.6.2 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
async-timeout 3.0.1 pypi_0 pypi
attrs 20.2.0 pypi_0 pypi
blas 1.0 mkl
ca-certificates 2020.7.22 0
cachetools 4.1.1 pypi_0 pypi
certifi 2020.6.20 py38_0
chardet 3.0.4 pypi_0 pypi
cudatoolkit 10.1.243 h74a9793_0
cudnn 7.6.5 cuda10.1_0
cycler 0.10.0 py38_0
fastcluster 1.1.26 py38hbe40bda_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.2.3 pypi_0 pypi
freetype 2.10.2 hd328e21_0
gast 0.3.3 pypi_0 pypi
git 2.23.0 h6bb4b03_0
google-auth 1.22.0 pypi_0 pypi
google-auth-oauthlib 0.4.1 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.32.0 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 pypi_0 pypi
imageio 2.9.0 py_0
imageio-ffmpeg 0.4.2 py_0 conda-forge
intel-openmp 2020.2 254
joblib 0.16.0 py_0
jpeg 9b hb83a4c4_2
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.2.0 py38h74a9793_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.1.0 h56a325e_1
lz4-c 1.9.2 h62dcd97_1
markdown 3.2.2 pypi_0 pypi
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38hb782905_0
mkl_fft 1.2.0 py38h45dec08_0
mkl_random 1.1.1 py38h47e9c7a_0
multidict 4.7.6 pypi_0 pypi
numpy 1.18.5 pypi_0 pypi
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 pypi_0 pypi
olefile 0.46 py_0
opencv-python 4.4.0.44 pypi_0 pypi
openssl 1.1.1h he774522_0
opt-einsum 3.3.0 pypi_0 pypi
pathlib 1.0.1 py_1
pillow 7.2.0 py38hcc1f983_0
pip 20.2.3 py38_0
protobuf 3.13.0 pypi_0 pypi
psutil 5.7.2 py38he774522_0
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pyparsing 2.4.7 py_0
pyqt 5.9.2 py38ha925a31_4
python 3.8.5 h5fd99cc_1
python-dateutil 2.8.1 py_0
python_abi 3.8 1_cp38 conda-forge
pywin32 227 py38he774522_1
qt 5.9.7 vc14h73c81de_0
requests 2.24.0 pypi_0 pypi
requests-oauthlib 1.3.0 pypi_0 pypi
rsa 4.6 pypi_0 pypi
scikit-learn 0.23.2 py38h47e9c7a_0
scipy 1.5.0 py38h9439919_0
setuptools 49.6.0 py38_1
sip 4.19.13 py38ha925a31_0
six 1.15.0 py_0
sqlite 3.33.0 h2a8f88b_0
tensorboard 2.2.2 pypi_0 pypi
tensorboard-plugin-wit 1.7.0 pypi_0 pypi
tensorflow-gpu 2.2.1 pypi_0 pypi
tensorflow-gpu-estimator 2.2.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
tornado 6.0.4 py38he774522_1
tqdm 4.49.0 py_0
urllib3 1.25.10 pypi_0 pypi
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
werkzeug 1.0.1 pypi_0 pypi
wheel 0.35.1 py_0
wincertstore 0.2 py38_0
wrapt 1.12.1 pypi_0 pypi
xz 5.2.5 h62dcd97_0
yarl 1.6.0 pypi_0 pypi
zlib 1.2.11 h62dcd97_4
zstd 1.4.5 h04227a9_0
================= Configs ==================
--------- .faceswap ---------
backend: nvidia
--------- 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: unsharp_mask
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
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
scalefactor: 0.709
batch-size: 8
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- train.ini ---------
[global]
coverage: 68.75
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
reflect_padding: False
allow_growth: False
mixed_precision: False
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.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.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
disable_warp: False
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4
Hope this helps. Thanks
Re: Microsoft Visual C++ Redist error
I am having the same issue...here is my log:
Code: Select all
Setting Faceswap backend to AMD
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 8861101 Setup.py - Minor change to cudnn locator
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. - Cayman (experimental)
gpu_devices_active: GPU_0
gpu_driver: ['1800.11 (VM)']
gpu_vram: GPU_0: 2048MB
os_machine: AMD64
os_platform: Windows-10-10.0.19041-SP0
os_release: 10
py_command: -c
py_conda_version: conda 4.8.5
py_implementation: CPython
py_version: 3.8.5
py_virtual_env: True
sys_cores: 12
sys_processor: Intel64 Family 6 Model 44 Stepping 2, GenuineIntel
sys_ram: Total: 32759MB, Available: 27096MB, Used: 5662MB, Free: 27096MB
=============== Pip Packages ===============
absl-py==0.10.0
aiohttp==3.6.2
astunparse==1.6.3
async-timeout==3.0.1
attrs==20.2.0
cachetools==4.1.1
certifi==2020.6.20
cffi==1.14.3
chardet==3.0.4
cycler==0.10.0
enum34==1.1.10
fastcluster==1.1.26
ffmpy==0.2.3
gast==0.3.3
google-auth==1.22.0
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.32.0
h5py==2.10.0
idna==2.10
imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1589202782679/work
joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
kiwisolver==1.2.0
Markdown==3.2.2
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.2.0
mkl-random==1.1.1
mkl-service==2.3.0
multidict==4.7.6
numpy==1.18.5
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.4.0.44
opt-einsum==3.3.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1594298230227/work
plaidml==0.7.0
plaidml-keras==0.7.0
protobuf==3.13.0
psutil @ file:///C:/ci/psutil_1598370330503/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.20
pyparsing==2.4.7
python-dateutil==2.8.1
pywin32==227
PyYAML==5.3.1
requests==2.24.0
requests-oauthlib==1.3.0
rsa==4.6
scikit-learn @ file:///C:/ci/scikit-learn_1598377018496/work
scipy @ file:///C:/ci/scipy_1592916963468/work
sip==4.19.13
six==1.15.0
tensorboard==2.2.2
tensorboard-plugin-wit==1.7.0
tensorflow==2.2.1
tensorflow-estimator==2.2.0
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tornado==6.0.4
tqdm @ file:///tmp/build/80754af9/tqdm_1600709023549/work
urllib3==1.25.10
Werkzeug==1.0.1
wincertstore==0.2
wrapt==1.12.1
yarl==1.6.0
============== Conda Packages ==============
# packages in environment at C:\Users\guy.NDAI.000\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 0.10.0 pypi_0 pypi
aiohttp 3.6.2 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
async-timeout 3.0.1 pypi_0 pypi
attrs 20.2.0 pypi_0 pypi
blas 1.0 mkl
ca-certificates 2020.7.22 0
cachetools 4.1.1 pypi_0 pypi
certifi 2020.6.20 py38_0
cffi 1.14.3 pypi_0 pypi
chardet 3.0.4 pypi_0 pypi
cycler 0.10.0 py38_0
enum34 1.1.10 pypi_0 pypi
fastcluster 1.1.26 py38hbe40bda_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.2.3 pypi_0 pypi
freetype 2.10.2 hd328e21_0
gast 0.3.3 pypi_0 pypi
git 2.23.0 h6bb4b03_0
google-auth 1.22.0 pypi_0 pypi
google-auth-oauthlib 0.4.1 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.32.0 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 pypi_0 pypi
imageio 2.9.0 py_0
imageio-ffmpeg 0.4.2 py_0 conda-forge
intel-openmp 2020.2 254
joblib 0.16.0 py_0
jpeg 9b hb83a4c4_2
keras 2.2.4 pypi_0 pypi
keras-applications 1.0.8 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.2.0 py38h74a9793_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.1.0 h56a325e_1
lz4-c 1.9.2 h62dcd97_1
markdown 3.2.2 pypi_0 pypi
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38hb782905_0
mkl_fft 1.2.0 py38h45dec08_0
mkl_random 1.1.1 py38h47e9c7a_0
multidict 4.7.6 pypi_0 pypi
numpy 1.18.5 pypi_0 pypi
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 pypi_0 pypi
olefile 0.46 py_0
opencv-python 4.4.0.44 pypi_0 pypi
openssl 1.1.1h he774522_0
opt-einsum 3.3.0 pypi_0 pypi
pathlib 1.0.1 py_1
pillow 7.2.0 py38hcc1f983_0
pip 20.2.3 py38_0
plaidml 0.7.0 pypi_0 pypi
plaidml-keras 0.7.0 pypi_0 pypi
protobuf 3.13.0 pypi_0 pypi
psutil 5.7.2 py38he774522_0
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycparser 2.20 pypi_0 pypi
pyparsing 2.4.7 py_0
pyqt 5.9.2 py38ha925a31_4
python 3.8.5 h5fd99cc_1
python-dateutil 2.8.1 py_0
python_abi 3.8 1_cp38 conda-forge
pywin32 227 py38he774522_1
pyyaml 5.3.1 pypi_0 pypi
qt 5.9.7 vc14h73c81de_0
requests 2.24.0 pypi_0 pypi
requests-oauthlib 1.3.0 pypi_0 pypi
rsa 4.6 pypi_0 pypi
scikit-learn 0.23.2 py38h47e9c7a_0
scipy 1.5.0 py38h9439919_0
setuptools 49.6.0 py38_1
sip 4.19.13 py38ha925a31_0
six 1.15.0 py_0
sqlite 3.33.0 h2a8f88b_0
tensorboard 2.2.2 pypi_0 pypi
tensorboard-plugin-wit 1.7.0 pypi_0 pypi
tensorflow 2.2.1 pypi_0 pypi
tensorflow-estimator 2.2.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
tornado 6.0.4 py38he774522_1
tqdm 4.49.0 py_0
urllib3 1.25.10 pypi_0 pypi
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
werkzeug 1.0.1 pypi_0 pypi
wheel 0.35.1 py_0
wincertstore 0.2 py38_0
wrapt 1.12.1 pypi_0 pypi
xz 5.2.5 h62dcd97_0
yarl 1.6.0 pypi_0 pypi
zlib 1.2.11 h62dcd97_4
zstd 1.4.5 h04227a9_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: unsharp_mask
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
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
scalefactor: 0.709
batch-size: 8
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- train.ini ---------
[global]
coverage: 68.75
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
reflect_padding: False
allow_growth: False
mixed_precision: False
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.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.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
disable_warp: False
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4
Re: Microsoft Visual C++ Redist error
willcai1984 wrote: ↑Fri Oct 02, 2020 1:34 pmI have the same problem and my log is
https://www.yuque.com/docs/share/c0812d ... e66bf5bd44
Code: Select all
gpu_devices:
gpu_devices_active:
gpu_driver: No Nvidia driver found
Remove and re-install your Nvidia drivers
My word is final
Re: Microsoft Visual C++ error
thenrique wrote: ↑Fri Oct 02, 2020 1:49 pmCode: Select all
'C:\Users\Thiago' não é reconhecido como um comando interno ou externo, um programa operável ou um arquivo em lotes.
Remove Faceswap and re-install it somewhere that isn't program files. I'm not even sure what your error is, but it doesn't like spaces in the path names.
My word is final
Re: Microsoft Visual C++ Redist error
hellofadull wrote: ↑Sat Oct 03, 2020 12:10 amSame problem here as OP. Latest Microsoft Visual C++ Redist 2015-2019 is installed.
Hope this helps. Thanks
I can't see any issue on the face of this. Unfortunately this is a Tensorflow issue, so you'll need to look there (https://github.com/tensorflow/tensorflow/issues/39007), but if you find a solution, please do post back.
My word is final
Re: Microsoft Visual C++ error
torzdf wrote: ↑Sun Oct 04, 2020 12:49 amthenrique wrote: ↑Fri Oct 02, 2020 1:49 pmCode: Select all
'C:\Users\Thiago' não é reconhecido como um comando interno ou externo, um programa operável ou um arquivo em lotes.
Remove Faceswap and re-install it somewhere that isn't program files. I'm not even sure what your error is, but it doesn't like spaces in the path names.
reinstalled in C: \ faceswap>, presented the same error
A DLL library file failed to load. Make sure that you have Microsoft Visual C++ Redistributable (2015, 2017, 2019) installed for your machine from: https://support.microsoft.com/en-gb/help/2977003
10/03/2020 23:36:38 INFO Press "ENTER" to dismiss the message and close FaceSwap
Re: Microsoft Visual C++ Redist error
Ultimately, this is a Tensorflow issue, and I have exhausted my problem solving ideas, so as above, you'll need to look there (https://github.com/tensorflow/tensorflow/issues/39007), but if you find a solution, please do post back.
My word is final
- hellofadull
- Posts: 2
- Joined: Fri Oct 02, 2020 11:57 pm
- Has thanked: 1 time
Re: Microsoft Visual C++ Redist error
torzdf wrote: ↑Sun Oct 04, 2020 12:57 amI can't see any issue on the face of this. Unfortunately this is a Tensorflow issue, so you'll need to look there (https://github.com/tensorflow/tensorflow/issues/39007), but if you find a solution, please do post back.
Changed to Linux and everything works fine. Don't wanna waste too much time anymore to find a solution Thanks for your help.
Re: Microsoft Visual C++ Redist error
No. It means you all have a common DLL issue which means Tensorflow won't run (it's used for both AMD and Nvidia).
Your best bet is to start searching here:
https://www.google.com/search?client=fi ... w_internal
And post back if you find a solution.
My word is final
Re: Microsoft Visual C++ Redist error
I assume you have been through the Microsoft Visual C++ Redist checks?
If not, then this issue remains open.
You could dual boot Linux, where this problem won't occur, but it's not a solution, more a workaround.
If/when Conda ever update Windows Tensorflow to 2.2+ this issue should also go away.
My word is final
- funkytownn
- Posts: 1
- Joined: Thu Oct 29, 2020 5:08 pm
Re: Microsoft Visual C++ Redist error
Had the same DLL-error for a while in all tensorflow-related installs.
It's because of having an older CPU (I have an i7 870) with no AVX2 support.
To fix it use : https://github.com/fo40225/tensorflow-windows-wheel
I installed the cuda102cudnn76sse2 wheel with conda and Faceswap is working now!