"CRITICAL An unexpected crash has occurred..." log file attached
Posted: Tue Aug 11, 2020 12:15 am
for some reason I deleted the entire faceswap folder from my c: drive and re-installed to the same location again later. I was trying to continue a work previous halt on training. however, an error message came out and here is the log content:
Code: Select all
08/11/2020 08:08:24 MainProcess MainThread logger log_setup INFO Log level set to: INFO
08/11/2020 08:08:24 MainProcess MainThread launcher execute_script DEBUG Executing: train. PID: 5812
08/11/2020 08:08:27 MainProcess MainThread launcher _test_for_tf_version DEBUG Installed Tensorflow Version: 1.15
Traceback (most recent call last):
File "C:\Users\Vector Xie\faceswap\lib\cli\launcher.py", line 153, in execute_script
script = self._import_script()
File "C:\Users\Vector Xie\faceswap\lib\cli\launcher.py", line 43, in _import_script
module = import_module(mod)
File "C:\Users\Vector Xie\MiniConda3\envs\faceswap\lib\importlib\__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 994, in _gcd_import
File "<frozen importlib._bootstrap>", line 971, in _find_and_load
File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 665, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 678, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "C:\Users\Vector Xie\faceswap\scripts\train.py", line 11, in <module>
import cv2
ModuleNotFoundError: No module named 'cv2'
============ System Information ============
encoding: cp936
git_branch: master
git_commits: 59023ad Update .dockerignore (#1041)
gpu_cuda: 9.0
gpu_cudnn: 7.0.5
gpu_devices: GPU_0: GeForce GTX 1660 Ti
gpu_devices_active: GPU_0
gpu_driver: 451.67
gpu_vram: GPU_0: 6144MB
os_machine: AMD64
os_platform: Windows-10-10.0.18362-SP0
os_release: 10
py_command: C:\Users\Vector Xie\faceswap\faceswap.py train -A C:/Users/Vector Xie/Videos/Training/Video_00027/face_a -ala C:/Users/Vector Xie/Videos/Training/Video_00027/1080P_4000K_273189041_alignments.fsa -B C:/Users/Vector Xie/Videos/Training/face_b -m C:/Users/Vector Xie/Videos/Training/Video_00027/model -t original -bs 64 -it 1000000 -g 1 -s 100 -ss 25000 -ps 50 -L INFO -gui
py_conda_version: conda 4.8.3
py_implementation: CPython
py_version: 3.6.10
py_virtual_env: True
sys_cores: 12
sys_processor: Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
sys_ram: Total: 16196MB, Available: 9278MB, Used: 6918MB, Free: 9278MB
=============== Pip Packages ===============
============== Conda Packages ==============
# packages in environment at C:\Users\Vector Xie\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.1.0 gpu
absl-py 0.9.0 py36_0
astor 0.8.0 py36_0
blas 1.0 mkl
blinker 1.4 py36_0
brotlipy 0.7.0 py36he774522_1000
ca-certificates 2020.6.24 0
cachetools 4.1.1 py_0
certifi 2020.6.20 py36_0
cffi 1.14.0 py36h7a1dbc1_0
chardet 3.0.4 py36_1003
click 7.1.2 py_0
cloudpickle 1.5.0 py_0
cryptography 2.9.2 py36h7a1dbc1_0
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
cycler 0.10.0 py36h009560c_0
cytoolz 0.10.1 py36he774522_0
dask-core 2.22.0 py_0
decorator 4.4.2 py_0
fastcluster 1.1.26 py36h5076640_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 0.2.2 py36_0
google-auth 1.20.1 py_0
google-auth-oauthlib 0.4.1 py_2
google-pasta 0.2.0 py_0
grpcio 1.27.2 py36h351948d_0
h5py 2.10.0 py36h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 py_0
imageio 2.9.0 py_0
imageio-ffmpeg 0.4.2 py_0 conda-forge
intel-openmp 2020.1 216
joblib 0.16.0 py_0
jpeg 9b hb83a4c4_2
keras 2.2.4 0
keras-applications 1.0.8 py_1
keras-base 2.2.4 py36_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.2.0 py36h74a9793_0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.12.3 h7bd577a_0
libtiff 4.1.0 h56a325e_1
lz4-c 1.9.2 h62dcd97_1
markdown 3.1.1 py36_0
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py36h64f37c6_0
mkl 2020.1 216
mkl-service 2.3.0 py36hb782905_0
mkl_fft 1.1.0 py36h45dec08_0
mkl_random 1.1.1 py36h47e9c7a_0
networkx 2.4 py_1
numpy 1.19.1 py36h5510c5b_0
numpy-base 1.19.1 py36ha3acd2a_0
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 py_0
olefile 0.46 py36_0
openssl 1.1.1g he774522_0
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py36_1
pillow 7.2.0 py36hcc1f983_0
pip 20.2.1 py36_0
protobuf 3.12.3 py36h33f27b4_0
psutil 5.7.0 py36he774522_0
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.7 py_0
pycparser 2.20 py_2
pyjwt 1.7.1 py36_0
pyopenssl 19.1.0 py_1
pyparsing 2.4.7 py_0
pyqt 5.9.2 py36h6538335_2
pyreadline 2.1 py36_1
pysocks 1.7.1 py36_0
python 3.6.10 h9f7ef89_2
python-dateutil 2.8.1 py_0
python_abi 3.6 1_cp36m conda-forge
pywavelets 1.1.1 py36he774522_0
pywin32 227 py36he774522_1
pyyaml 5.3.1 py36he774522_1
qt 5.9.7 vc14h73c81de_0
requests 2.24.0 py_0
requests-oauthlib 1.3.0 py_0
rsa 4.0 py_0
scikit-image 0.16.2 py36h47e9c7a_0
scikit-learn 0.23.1 py36h25d0782_0
scipy 1.5.0 py36h9439919_0
setuptools 49.2.1 py36_0
sip 4.19.8 py36h6538335_0
six 1.15.0 py_0
sqlite 3.32.3 h2a8f88b_0
tensorboard 2.2.1 pyh532a8cf_0
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 1.15.0 gpu_py36h2b26d6b_0
tensorflow-base 1.15.0 gpu_py36h1afeea4_0
tensorflow-estimator 1.15.1 pyh2649769_0
tensorflow-gpu 1.15.0 h0d30ee6_0
termcolor 1.1.0 py36_1
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
toolz 0.10.0 py_0
toposort 1.5 py_3 conda-forge
tornado 6.0.4 py36he774522_1
tqdm 4.48.2 py_0
urllib3 1.25.9 py_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
werkzeug 0.16.1 py_0
wheel 0.34.2 py36_0
win_inet_pton 1.1.0 py36_0
wincertstore 0.2 py36h7fe50ca_0
wrapt 1.12.1 py36he774522_1
xz 5.2.5 h62dcd97_0
yaml 0.2.5 he774522_0
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
--------- 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]
coverage: 68.75
mask_type: none
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
icnr_init: False
conv_aware_init: False
reflect_padding: False
penalized_mask_loss: True
loss_function: mae
learning_rate: 5e-05
[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
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4