HI all
I am very new to this and kind of stumbling through it (best way to learn for me). I am trying to convert my trained data and keep receiving the following error:
Code: Select all
01/12/2020 08:23:19 MainProcess MainThread logger log_setup INFO Log level set to: INFO
01/12/2020 08:23:19 MainProcess MainThread cli execute_script DEBUG Executing: convert. PID: 18440
01/12/2020 08:23:22 MainProcess MainThread cli test_for_tf_version DEBUG Installed Tensorflow Version: 1.15
01/12/2020 08:23:22 MainProcess MainThread queue_manager __init__ DEBUG Initializing QueueManager
01/12/2020 08:23:22 MainProcess MainThread queue_manager __init__ DEBUG Initialized QueueManager
01/12/2020 08:23:22 MainProcess MainThread convert __init__ DEBUG Initializing Convert: (args: Namespace(alignments_path='C:\\Users\\Ben Kelleher\\Documents\\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 0x000001ACD35805F8>>, gpus=1, input_aligned_dir=None, input_dir='C:\\Users\\Ben Kelleher\\Desktop\\Vik', jobs=0, keep_unchanged=False, logfile=None, loglevel='INFO', mask_type='extended', model_dir='C:\\Users\\Ben Kelleher\\Documents', nfilter=None, on_the_fly=False, output_dir='C:\\Users\\Ben Kelleher\\Desktop', output_scale=100, redirect_gui=True, ref_threshold=0.4, reference_video='C:\\Users\\Ben Kelleher\\Desktop\\20200111_132610.mp4', scaling='none', singleprocess=False, swap_model=False, trainer=None, writer='opencv'))
01/12/2020 08:23:22 MainProcess MainThread fsmedia __init__ DEBUG Initializing Images
01/12/2020 08:23:22 MainProcess MainThread fsmedia _check_input_folder INFO Input Directory: C:\Users\Ben Kelleher\Desktop\Vik
01/12/2020 08:23:22 MainProcess MainThread utils get_image_paths DEBUG Scanned Folder contains 1138 files
01/12/2020 08:23:22 MainProcess MainThread utils get_image_paths DEBUG Returning 1137 images
01/12/2020 08:23:22 MainProcess MainThread fsmedia __init__ DEBUG Initialized Images
01/12/2020 08:23:22 MainProcess MainThread fsmedia __init__ DEBUG Initializing Alignments: (is_extract: False, input_is_video: False)
01/12/2020 08:23:22 MainProcess MainThread fsmedia _set_folder_filename DEBUG Alignments File provided: 'C:\Users\Ben Kelleher\Documents\original_state.json'
01/12/2020 08:23:22 MainProcess MainThread fsmedia _set_folder_filename DEBUG Setting Alignments: (folder: 'C:\Users\Ben Kelleher\Documents' filename: 'original_state.json')
01/12/2020 08:23:22 MainProcess MainThread alignments __init__ DEBUG Initializing Alignments: (folder: 'C:\Users\Ben Kelleher\Documents', filename: 'original_state.json')
01/12/2020 08:23:22 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._PickleSerializer object at 0x000001ACDBBA8A90>
01/12/2020 08:23:22 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._CompressedSerializer object at 0x000001ACDBBA82E8>
01/12/2020 08:23:22 MainProcess MainThread alignments get_location DEBUG Getting location: (folder: 'C:\Users\Ben Kelleher\Documents', filename: 'original_state.json')
01/12/2020 08:23:22 MainProcess MainThread alignments update_file_format INFO Reformatting legacy alignments file...
01/12/2020 08:23:22 MainProcess MainThread alignments update_file_format INFO Using existing updated alignments file found at 'C:\Users\Ben Kelleher\Documents\original_state.fsa'. If you do not wish to use this existing file then you should delete or rename it.
01/12/2020 08:23:22 MainProcess MainThread alignments get_location DEBUG Updated legacy alignments. New filename: 'original_state.fsa'
01/12/2020 08:23:22 MainProcess MainThread alignments get_location DEBUG File extension set from serializer: 'fsa'
01/12/2020 08:23:22 MainProcess MainThread alignments get_location VERBOSE Alignments filepath: 'C:\Users\Ben Kelleher\Documents\original_state.fsa'
01/12/2020 08:23:22 MainProcess MainThread alignments load DEBUG Loading alignments
01/12/2020 08:23:22 MainProcess MainThread alignments load INFO Reading alignments from: 'C:\Users\Ben Kelleher\Documents\original_state.fsa'
01/12/2020 08:23:22 MainProcess MainThread serializer load DEBUG filename: C:\Users\Ben Kelleher\Documents\original_state.fsa
01/12/2020 08:23:22 MainProcess MainThread serializer load DEBUG stored data type: <class 'bytes'>
01/12/2020 08:23:22 MainProcess MainThread serializer unmarshal DEBUG data type: <class 'bytes'>
01/12/2020 08:23:22 MainProcess MainThread serializer unmarshal DEBUG returned data type: <class 'dict'>
01/12/2020 08:23:22 MainProcess MainThread serializer load DEBUG data type: <class 'dict'>
01/12/2020 08:23:22 MainProcess MainThread alignments load DEBUG Loaded alignments
01/12/2020 08:23:22 MainProcess MainThread alignments has_legacy_landmarksxy DEBUG checking legacy landmarksXY
Traceback (most recent call last):
File "E:\faceswap\lib\cli.py", line 127, in execute_script
process = script(arguments)
File "E:\faceswap\scripts\convert.py", line 56, in __init__
self._alignments = Alignments(self._args, False, self._images.is_video)
File "E:\faceswap\scripts\fsmedia.py", line 71, in __init__
super().__init__(folder, filename=filename)
File "E:\faceswap\lib\alignments.py", line 33, in __init__
self.update_legacy()
File "E:\faceswap\lib\alignments.py", line 291, in update_legacy
if self.has_legacy_landmarksxy():
File "E:\faceswap\lib\alignments.py", line 340, in has_legacy_landmarksxy
for alignments in self.data.values()
File "E:\faceswap\lib\alignments.py", line 341, in <genexpr>
for alignment in alignments
TypeError: 'int' object is not iterable
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: ff76461 lib.cli - Add dfaker tooltip and typo fix.
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 TITAN
gpu_devices_active: GPU_0
gpu_driver: 441.87
gpu_vram: GPU_0: 6144MB
os_machine: AMD64
os_platform: Windows-10-10.0.18362-SP0
os_release: 10
py_command: E:\faceswap\faceswap.py convert -i C:/Users/Ben Kelleher/Desktop/Vik -o C:/Users/Ben Kelleher/Desktop -al C:/Users/Ben Kelleher/Documents/original_state.json -ref C:/Users/Ben Kelleher/Desktop/20200111_132610.mp4 -m C:/Users/Ben Kelleher/Documents -c avg-color -M extended -sc none -w opencv -osc 100 -l 0.4 -j 0 -g 1 -L INFO -gui
py_conda_version: conda 4.8.1
py_implementation: CPython
py_version: 3.6.10
py_virtual_env: True
sys_cores: 12
sys_processor: Intel64 Family 6 Model 45 Stepping 7, GenuineIntel
sys_ram: Total: 12232MB, Available: 6508MB, Used: 5724MB, Free: 6508MB
=============== Pip Packages ===============
============== Conda Packages ==============
# packages in environment at C:\Users\Ben Kelleher\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.1.0 gpu
absl-py 0.8.1 py36_0
astor 0.8.0 py36_0
blas 1.0 mkl
ca-certificates 2019.11.27 0
certifi 2019.11.28 py36_0
cloudpickle 1.2.2 py_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 2.9.1 py_0
decorator 4.4.1 py_0
fastcluster 1.1.25 py36he350917_1000 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 py36_0
google-pasta 0.1.8 py_0
grpcio 1.16.1 py36h351948d_1
h5py 2.9.0 py36h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
imageio 2.6.1 py36_0
imageio-ffmpeg 0.3.0 py_0 conda-forge
intel-openmp 2019.4 245
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 py36_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.1.0 py36ha925a31_0
libmklml 2019.0.5 0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.11.2 h7bd577a_0
libtiff 4.1.0 h56a325e_0
markdown 3.1.1 py36_0
matplotlib 3.1.1 py36hc8f65d3_0
mkl 2019.4 245
mkl-service 2.3.0 py36hb782905_0
mkl_fft 1.0.15 py36h14836fe_0
mkl_random 1.1.0 py36h675688f_0
networkx 2.4 py_0
numpy 1.17.4 py36h4320e6b_0
numpy-base 1.17.4 py36hc3f5095_0
nvidia-ml-py3 7.352.1 pypi_0 pypi
olefile 0.46 py36_0
opencv-python 4.1.2.30 pypi_0 pypi
openssl 1.1.1d he774522_3
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py36_1
pillow 6.2.1 py36hdc69c19_0
pip 19.3.1 py36_0
protobuf 3.11.2 py36h33f27b4_0
psutil 5.6.7 py36he774522_0
pyparsing 2.4.6 py_0
pyqt 5.9.2 py36h6538335_2
pyreadline 2.1 py36_1
python 3.6.10 h9f7ef89_0
python-dateutil 2.8.1 py_0
pytz 2019.3 py_0
pywavelets 1.1.1 py36he774522_0
pywin32 227 py36he774522_0
pyyaml 5.2 py36he774522_0
qt 5.9.7 vc14h73c81de_0
scikit-image 0.15.0 py36ha925a31_0
scikit-learn 0.22.1 py36h6288b17_0
scipy 1.3.2 py36h29ff71c_0
setuptools 44.0.0 py36_0
sip 4.19.8 py36h6538335_0
six 1.13.0 py36_0
sqlite 3.30.1 he774522_0
tensorboard 2.0.0 pyhb38c66f_1
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
tk 8.6.8 hfa6e2cd_0
toolz 0.10.0 py_0
toposort 1.5 py_3 conda-forge
tornado 6.0.3 py36he774522_0
tqdm 4.40.2 py_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_1
werkzeug 0.16.0 py_0
wheel 0.33.6 py36_0
wincertstore 0.2 py36h7fe50ca_0
wrapt 1.11.2 py36he774522_0
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: 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
[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
Any thoughts? sorry if this is a very broad question!