Hi, I´ve got a similar problem
I finished training after ca. 15 hours and there were nop problems so far. Then when I converted I had no errors but the Output Video was also almost the same with a few frames being the face that I actually wanted to put in...The difference for my alignment folder is now that I only got one for each video that I extracted from and I tried putting all the alignment folders for both of the videos but there was either an error when it wasnt the correct file or like I said it just added a few frames from the face that I actually wanted in the new video.
Does someone know what could be my problem? Could it be that I made a mistake before while Extracting the frames from the videos/creating the alignments folders?
Convert + Alignments - Common Problems MegaThread
Read the FAQs and search the forum before posting a new topic.
This forum is for discussing tips and understanding the process involved with Converting faces from your trained model.
If you are having issues with the Convert process not working as you would expect, then you should post in the Convert Support forum.
Please mark any answers that fixed your problems so others can find the solutions.
- JTheSpyder
- Posts: 1
- Joined: Sun Mar 15, 2020 3:18 pm
Re: conversion fails, missing alignments
convert to video
Hi!
Total noob here!
Can you please explain how do I convert to video? I extracted the face, trained a model. Now in convert part I input the video that I want the face to be in, model dir, reference video and output folder. I run it and in result folder I see only pictures with replaced faces. How can I get the video?
All the best,
Re: convert to video
C:\Users\agami\MiniConda3\envs\faceswap\python.exe F:\faceswapp\faceswap\faceswap.py convert -i "F:/faceswap resources/data_dan.mp4" -o "F:/faceswap resources/result" -ref "F:/faceswap resources/data_dan.mp4" -m "F:/faceswap resources/model" -c avg-color -M extended -sc none -w opencv -osc 100 -l 0.4 -j 0 -g 1 -L INFO
- mikericer33
- Posts: 7
- Joined: Sun Mar 29, 2020 1:00 pm
Critical error wile Converting
HI,
I was trying to Convert but a crash happened, could you please help me?
Thaks a lot.
here is the crash report:
Code: Select all
03/29/2020 14:58:05 MainProcess MainThread logger log_setup INFO Log level set to: INFO
03/29/2020 14:58:05 MainProcess MainThread cli execute_script DEBUG Executing: convert. PID: 4276
03/29/2020 14:58:08 MainProcess MainThread cli test_for_tf_version DEBUG Installed Tensorflow Version: 1.15
03/29/2020 14:58:09 MainProcess MainThread queue_manager __init__ DEBUG Initializing QueueManager
03/29/2020 14:58:09 MainProcess MainThread queue_manager __init__ DEBUG Initialized QueueManager
03/29/2020 14:58:09 MainProcess MainThread convert __init__ DEBUG Initializing Convert: (args: Namespace(alignments_path='C:\\Users\\Marco\\Desktop\\face\\Mich MOdel Folder\\original_state.json', allow_growth=False, colab=False, color_adjustment='avg-color', configfile=None, filter=None, frame_ranges=None, func=<bound method ScriptExecutor.execute_script of <lib.cli.ScriptExecutor object at 0x0000006AF4A7DB48>>, gpus=1, input_aligned_dir=None, input_dir='C:\\Users\\Marco\\Desktop\\face\\porn cut\\pornCut1.mp4', jobs=0, keep_unchanged=False, logfile=None, loglevel='INFO', mask_type='extended', model_dir='C:\\Users\\Marco\\Desktop\\face\\Mich MOdel Folder', nfilter=None, on_the_fly=False, output_dir='C:\\Users\\Marco\\Desktop\\face\\OUT RENDERS', output_scale=100, redirect_gui=True, ref_threshold=0.4, reference_video=None, scaling='none', singleprocess=False, swap_model=False, trainer=None, writer='ffmpeg'))
03/29/2020 14:58:09 MainProcess MainThread fsmedia __init__ DEBUG Initializing Images
03/29/2020 14:58:09 MainProcess MainThread fsmedia _check_input_folder INFO Input Video: C:\Users\Marco\Desktop\face\porn cut\pornCut1.mp4
03/29/2020 14:58:09 MainProcess MainThread image count_frames DEBUG filename: C:\Users\Marco\Desktop\face\porn cut\pornCut1.mp4, fast: True
03/29/2020 14:58:09 MainProcess MainThread image count_frames DEBUG FFMPEG Command: 'C:\Users\Marco\MiniConda3\envs\faceswap\Library\bin\ffmpeg.exe -i C:\Users\Marco\Desktop\face\porn cut\pornCut1.mp4 -map 0:v:0 -c copy -f null -'
03/29/2020 14:58:09 MainProcess MainThread image count_frames DEBUG Duration line: Duration: 00:01:40.05, start: 0.000000, bitrate: 4581 kb/s
03/29/2020 14:58:09 MainProcess MainThread utils convert_to_secs DEBUG from time: ('00', '01', '40.05')
03/29/2020 14:58:09 MainProcess MainThread utils convert_to_secs DEBUG to secs: 100.05
03/29/2020 14:58:09 MainProcess MainThread image count_frames DEBUG duration: 100
03/29/2020 14:58:09 MainProcess MainThread image count_frames DEBUG frame line: frame= 2500 fps=0.0 q=-1.0 Lsize=N/A time=00:01:39.96 bitrate=N/A speed=2.13e+03x
03/29/2020 14:58:09 MainProcess MainThread image count_frames DEBUG Initializing tqdm
03/29/2020 14:58:09 MainProcess MainThread utils convert_to_secs DEBUG from time: ('00', '01', '39.96')
03/29/2020 14:58:09 MainProcess MainThread utils convert_to_secs DEBUG to secs: 99.96000000000001
03/29/2020 14:58:09 MainProcess MainThread image count_frames DEBUG frames: 2500, vid_time: 99
03/29/2020 14:58:09 MainProcess MainThread image count_frames DEBUG Return code: 0, frames: 2500
03/29/2020 14:58:09 MainProcess MainThread fsmedia __init__ DEBUG Initialized Images
03/29/2020 14:58:09 MainProcess MainThread fsmedia __init__ DEBUG Initializing Alignments: (is_extract: False, input_is_video: True)
03/29/2020 14:58:09 MainProcess MainThread fsmedia _set_folder_filename DEBUG Alignments File provided: 'C:\Users\Marco\Desktop\face\Mich MOdel Folder\original_state.json'
03/29/2020 14:58:09 MainProcess MainThread fsmedia _set_folder_filename DEBUG Setting Alignments: (folder: 'C:\Users\Marco\Desktop\face\Mich MOdel Folder' filename: 'original_state.json')
03/29/2020 14:58:09 MainProcess MainThread alignments __init__ DEBUG Initializing Alignments: (folder: 'C:\Users\Marco\Desktop\face\Mich MOdel Folder', filename: 'original_state.json')
03/29/2020 14:58:09 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._PickleSerializer object at 0x0000006AFDA11F08>
03/29/2020 14:58:09 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._CompressedSerializer object at 0x0000006AFDA11EC8>
03/29/2020 14:58:09 MainProcess MainThread alignments _get_location DEBUG Getting location: (folder: 'C:\Users\Marco\Desktop\face\Mich MOdel Folder', filename: 'original_state.json')
03/29/2020 14:58:09 MainProcess MainThread alignments _update_file_format INFO Reformatting legacy alignments file...
03/29/2020 14:58:09 MainProcess MainThread alignments _update_file_format INFO Using existing updated alignments file found at 'C:\Users\Marco\Desktop\face\Mich MOdel Folder\original_state.fsa'. If you do not wish to use this existing file then you should delete or rename it.
03/29/2020 14:58:09 MainProcess MainThread alignments _get_location DEBUG Updated legacy alignments. New filename: 'original_state.fsa'
03/29/2020 14:58:09 MainProcess MainThread alignments _get_location DEBUG File extension set from serializer: 'fsa'
03/29/2020 14:58:09 MainProcess MainThread alignments _get_location VERBOSE Alignments filepath: 'C:\Users\Marco\Desktop\face\Mich MOdel Folder\original_state.fsa'
03/29/2020 14:58:09 MainProcess MainThread alignments _load DEBUG Loading alignments
03/29/2020 14:58:09 MainProcess MainThread alignments _load INFO Reading alignments from: 'C:\Users\Marco\Desktop\face\Mich MOdel Folder\original_state.fsa'
03/29/2020 14:58:09 MainProcess MainThread serializer load DEBUG filename: C:\Users\Marco\Desktop\face\Mich MOdel Folder\original_state.fsa
03/29/2020 14:58:09 MainProcess MainThread serializer load DEBUG stored data type: <class 'bytes'>
03/29/2020 14:58:09 MainProcess MainThread serializer unmarshal DEBUG data type: <class 'bytes'>
03/29/2020 14:58:09 MainProcess MainThread serializer unmarshal DEBUG returned data type: <class 'dict'>
03/29/2020 14:58:09 MainProcess MainThread serializer load DEBUG data type: <class 'dict'>
03/29/2020 14:58:09 MainProcess MainThread alignments _load DEBUG Loaded alignments
03/29/2020 14:58:09 MainProcess MainThread alignments _has_legacy_structure DEBUG legacy structure: False
03/29/2020 14:58:09 MainProcess MainThread alignments _has_legacy_landmarksxy DEBUG checking legacy landmarksXY
Traceback (most recent call last):
File "C:\Users\Marco\faceswap\lib\cli.py", line 127, in execute_script
process = script(arguments)
File "C:\Users\Marco\faceswap\scripts\convert.py", line 56, in __init__
self._alignments = Alignments(self._args, False, self._images.is_video)
File "C:\Users\Marco\faceswap\scripts\fsmedia.py", line 71, in __init__
super().__init__(folder, filename=filename)
File "C:\Users\Marco\faceswap\lib\alignments.py", line 42, in __init__
self._update_legacy()
File "C:\Users\Marco\faceswap\lib\alignments.py", line 500, in _update_legacy
if self._has_legacy_landmarksxy():
File "C:\Users\Marco\faceswap\lib\alignments.py", line 599, in _has_legacy_landmarksxy
for val in self._data.values()
File "C:\Users\Marco\faceswap\lib\alignments.py", line 600, in <genexpr>
for alignment in val["faces"]
TypeError: string indices must be integers
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 9c2414a lib.alignments - Update video meta data to handle training alignments files/frame ranges
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_devices_active:
gpu_driver: No Nvidia driver found
gpu_vram:
os_machine: AMD64
os_platform: Windows-8.1-6.3.9600-SP0
os_release: 8.1
py_command: C:\Users\Marco\faceswap\faceswap.py convert -i C:/Users/Marco/Desktop/face/porn cut/pornCut1.mp4 -o C:/Users/Marco/Desktop/face/OUT RENDERS -al C:/Users/Marco/Desktop/face/Mich MOdel Folder/original_state.json -m C:/Users/Marco/Desktop/face/Mich MOdel Folder -c avg-color -M extended -sc none -w ffmpeg -osc 100 -l 0.4 -j 0 -L INFO -gui
py_conda_version: conda 4.8.3
py_implementation: CPython
py_version: 3.7.7
py_virtual_env: True
sys_cores: 4
sys_processor: Intel64 Family 6 Model 69 Stepping 1, GenuineIntel
sys_ram: Total: 8096MB, Available: 4431MB, Used: 3664MB, Free: 4431MB
=============== Pip Packages ===============
absl-py==0.9.0
asn1crypto==1.3.0
astor==0.8.0
blinker==1.4
cachetools==3.1.1
certifi==2019.11.28
cffi==1.14.0
chardet==3.0.4
click==7.1.1
cloudpickle==1.3.0
cryptography==2.8
cycler==0.10.0
cytoolz==0.10.1
dask==2.13.0
decorator==4.4.2
fastcluster==1.1.26
ffmpy==0.2.2
gast==0.2.2
google-auth==1.11.2
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.27.2
h5py==2.9.0
idna==2.9
imageio==2.6.1
imageio-ffmpeg==0.4.1
joblib==0.14.1
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
Markdown==3.1.1
matplotlib==3.1.3
mkl-fft==1.0.15
mkl-random==1.1.0
mkl-service==2.3.0
networkx==2.4
numpy==1.17.4
nvidia-ml-py3==7.352.1
oauthlib==3.1.0
olefile==0.46
opencv-python==4.1.2.30
opt-einsum==3.1.0
pathlib==1.0.1
Pillow==6.2.1
protobuf==3.11.4
psutil==5.7.0
pyasn1==0.4.8
pyasn1-modules==0.2.7
pycparser==2.20
PyJWT==1.7.1
pyOpenSSL==19.1.0
pyparsing==2.4.6
pyreadline==2.1
PySocks==1.7.1
python-dateutil==2.8.1
pytz==2019.3
PyWavelets==1.1.1
pywin32==227
PyYAML==5.3.1
requests==2.23.0
requests-oauthlib==1.3.0
rsa==4.0
scikit-image==0.16.2
scikit-learn==0.22.1
scipy==1.4.1
six==1.14.0
tensorboard==2.1.0
tensorflow==1.15.0
tensorflow-estimator==1.15.1
termcolor==1.1.0
toolz==0.10.0
toposort==1.5
tornado==6.0.4
tqdm==4.43.0
urllib3==1.25.8
Werkzeug==0.16.1
win-inet-pton==1.1.0
wincertstore==0.2
wrapt==1.12.1
============== Conda Packages ==============
# packages in environment at C:\Users\Marco\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.2.0 eigen
absl-py 0.9.0 py37_0
asn1crypto 1.3.0 py37_0
astor 0.8.0 py37_0
blas 1.0 mkl
blinker 1.4 py37_0
ca-certificates 2020.1.1 0
cachetools 3.1.1 py_0
certifi 2019.11.28 py37_1
cffi 1.14.0 py37h7a1dbc1_0
chardet 3.0.4 py37_1003
click 7.1.1 py_0
cloudpickle 1.3.0 py_0
cryptography 2.8 py37h7a1dbc1_0
cycler 0.10.0 py37_0
cytoolz 0.10.1 py37he774522_0
dask-core 2.13.0 py_0
decorator 4.4.2 py_0
fastcluster 1.1.26 py37he350917_0 conda-forge
ffmpeg 4.2 h6538335_0 conda-forge
ffmpy 0.2.2 pypi_0 pypi
freetype 2.9.1 ha9979f8_1
gast 0.2.2 py37_0
git 2.23.0 h6bb4b03_0
google-auth 1.11.2 py_0
google-auth-oauthlib 0.4.1 py_2
google-pasta 0.2.0 py_0
grpcio 1.27.2 py37h351948d_0
h5py 2.9.0 py37h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
idna 2.9 py_1
imageio 2.6.1 py37_0
imageio-ffmpeg 0.4.1 py_0 conda-forge
intel-openmp 2020.0 166
joblib 0.14.1 py_0
jpeg 9b hb83a4c4_2
keras 2.2.4 0
keras-applications 1.0.8 py_0
keras-base 2.2.4 py37_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.1.0 py37ha925a31_0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.11.4 h7bd577a_0
libtiff 4.1.0 h56a325e_0
markdown 3.1.1 py37_0
matplotlib 3.1.1 py37hc8f65d3_0
matplotlib-base 3.1.3 py37h64f37c6_0
mkl 2020.0 166
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.15 py37h14836fe_0
mkl_random 1.1.0 py37h675688f_0
networkx 2.4 py_0
numpy 1.17.4 py37h4320e6b_0
numpy-base 1.17.4 py37hc3f5095_0
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 py_0
olefile 0.46 py37_0
opencv-python 4.1.2.30 pypi_0 pypi
openssl 1.1.1e he774522_0
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py37_1
pillow 6.2.1 py37hdc69c19_0
pip 20.0.2 py37_1
protobuf 3.11.4 py37h33f27b4_0
psutil 5.7.0 py37he774522_0
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.7 py_0
pycparser 2.20 py_0
pyjwt 1.7.1 py37_0
pyopenssl 19.1.0 py37_0
pyparsing 2.4.6 py_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
pysocks 1.7.1 py37_0
python 3.7.7 h60c2a47_0_cpython
python-dateutil 2.8.1 py_0
python_abi 3.7 1_cp37m conda-forge
pytz 2019.3 py_0
pywavelets 1.1.1 py37he774522_0
pywin32 227 py37he774522_1
pyyaml 5.3.1 py37he774522_0
qt 5.9.7 vc14h73c81de_0
requests 2.23.0 py37_0
requests-oauthlib 1.3.0 py_0
rsa 4.0 py_0
scikit-image 0.16.2 py37h47e9c7a_0
scikit-learn 0.22.1 py37h6288b17_0
scipy 1.4.1 py37h9439919_0
setuptools 46.1.1 py37_0
sip 4.19.8 py37h6538335_0
six 1.14.0 py37_0
sqlite 3.31.1 he774522_0
tensorboard 2.1.0 py3_0
tensorflow 1.15.0 eigen_py37h9f89a44_0
tensorflow-base 1.15.0 eigen_py37h07d2309_0
tensorflow-estimator 1.15.1 pyh2649769_0
termcolor 1.1.0 py37_1
tk 8.6.8 hfa6e2cd_0
toolz 0.10.0 py_0
toposort 1.5 py_3 conda-forge
tornado 6.0.4 py37he774522_1
tqdm 4.43.0 py_0
urllib3 1.25.8 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_1
werkzeug 0.16.1 py_0
wheel 0.34.2 py37_0
win_inet_pton 1.1.0 py37_0
wincertstore 0.2 py37_0
wrapt 1.12.1 py37he774522_1
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0
================= Configs ==================
--------- .faceswap ---------
backend: cpu
--------- 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
[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
subpixel_upscaling: 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
- mikericer33
- Posts: 7
- Joined: Sun Mar 29, 2020 1:00 pm
- mikericer33
- Posts: 7
- Joined: Sun Mar 29, 2020 1:00 pm
Re: Critical error wile Converting
So I should find it in the same folder as the video from which I extracted the faces, or in the folder of the extracted faces? I still can't find it... what is the extension?
Re: Critical error wile Converting
.fsa. It will be with the video file (same name, but with _alignments.fsa appended to the end).
That's assuming you generated an alignments file. If you didn't, you need to.
My word is final
- mikericer33
- Posts: 7
- Joined: Sun Mar 29, 2020 1:00 pm
Re: Critical error wile Converting
Maybe I didn't generated it... But I can't find how to in the guide.. can you help me?
- allen621115
- Posts: 3
- Joined: Mon Mar 30, 2020 6:48 pm
Strange error when"Extracting a training set from an alignments file"
i'm doing "Extracting a training set from an alignments file" ,when I clicked extract it printed:
"0 face(s) extracted".
Like this:
Loading...
Setting Faceswap backend to NVIDIA
Please backup your data and/or test the tool you want to use with a smaller data set to make sure you understand how it works.
03/31/2020 03:08:11 INFO Log level set to: INFO
03/31/2020 03:08:16 INFO [ALIGNMENT DATA]
03/31/2020 03:08:16 INFO Reading alignments from: 'G:\faceswap test\POLARRANA\videos\low to up_alignments.fsa'
03/31/2020 03:08:16 INFO [FRAMES DATA]
03/31/2020 03:08:16 INFO Loading video frames from G:\faceswap test\POLARRANA\videos\done low to up.mp4
03/31/2020 03:08:16 INFO [EXTRACT FACES]
03/31/2020 03:08:18 INFO 0 face(s) extracted
Process exited.
I have viewed this post,but still don't get it.
viewtopic.php?f=5&t=477&p=1550#p1550
Any help would be appreciated.
- allen621115
- Posts: 3
- Joined: Mon Mar 30, 2020 6:48 pm
Re: Strange error when"Extracting a training set from an alignments file"
Thank you,and here it is:
C:\Users\Allen\MiniConda3\envs\faceswap\python.exe G:\faceswap\tools.py alignments -j extract -a "G:/faceswap test/POLARRANA/videos/low to up_alignments.fsa" -fc "G:/faceswap test/POLARRANA/output sec2/downtoup" -fr "G:/faceswap test/POLARRANA/videos/done low to up.mp4" -o console -een 1 -sz 256 -dm -L INFO
Re: Strange error when"Extracting a training set from an alignments file"
Your frames location is wrong.
It should be "G:/faceswap test/POLARRANA/videos/low to up.mp4" (not with the word "done" in it.... assuming you haven't renamed your alignments file)
My word is final
- allen621115
- Posts: 3
- Joined: Mon Mar 30, 2020 6:48 pm
Re: Strange error when"Extracting a training set from an alignments file"
OK, It's fine now,thank you again.
For those who has same problem with me. In my case,I change my frame video name after extracting my video to check that i have finished the video extracting.So I guess the alignments file did not get it.
After i change my video name back, i works.
- mikericer33
- Posts: 7
- Joined: Sun Mar 29, 2020 1:00 pm
Alignment Files
Hi, how do I generate alignment files ? Does the program auto generate it at the end of training in the extracted faces folder ?
Thanks