Page 1 of 1

Error: Failed to Convert Image

Posted: Wed Mar 25, 2020 10:19 pm
by locomanos

Hello all,

I get error when converting that says "Failed to convert image: '(Frame Names)'. Reason: 'vgg-obstructed'. My input is a video where I extracted and got alignments file which I fixed and removed additional faces. The convert process does not end abruptly with the errors, it continues to go and produces a error for each frame. It looks like its converting without mask.

Thanks for your help in advance.


Re: Error: Failed to Convert Image

Posted: Thu Mar 26, 2020 10:30 am
by torzdf

Use the mask tool to generate new masks (they get deleted when you use the manual tool)


Re: Error: Failed to Convert Image

Posted: Thu Mar 26, 2020 4:09 pm
by locomanos

I assume you speak of this tool.
https://ibb.co/PMqGdY5
How do I use this? I assume alignments will just be the alignments file for the video, input would be the video and then output will be whatever empty folder presumably. What do I want for the other settings given my issue.

Thanks


Re: Error: Failed to Convert Image

Posted: Thu Mar 26, 2020 5:23 pm
by torzdf

You don't need output.

Just point it at your Video, Alignments File (if not in the default location). Set the input type as Video.

Select the Mask you want, and select "Missing", then just hit the Execute button


Re: Error: Failed to Convert Image

Posted: Thu Mar 26, 2020 5:44 pm
by locomanos

I get error.

Code: Select all

03/26/2020 13:38:03 MainProcess     MainThread      logger          log_setup                 INFO     Log level set to: INFO
03/26/2020 13:38:03 MainProcess     MainThread      cli             execute_script            DEBUG    Executing: mask. PID: 15112
03/26/2020 13:38:03 MainProcess     MainThread      cli             setup_amd                 DEBUG    Setting up for AMD
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   setup_plaidml             INFO     Setting up for PlaidML
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   setup_plaidml             VERBOSE  Setting Keras Backend to PlaidML
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   __init__                  DEBUG    Initializing: PlaidMLStats: (loglevel: INFO, log: True)
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   initialize                DEBUG    Initializing PlaidML
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   set_plaidml_logger        DEBUG    Setting PlaidML Default Logger
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   set_plaidml_logger        DEBUG    Set PlaidML Default Logger
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   set_verbosity             DEBUG    Setting PlaidML Loglevel: INFO
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   initialize                DEBUG    Initialized PlaidML
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   get_supported_devices     DEBUG    [<plaidml._DeviceConfig object at 0x00000199E09AC388>]
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   get_all_devices           DEBUG    Experimental Devices: [<plaidml._DeviceConfig object at 0x00000199E09AC6C8>]
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   get_all_devices           DEBUG    [<plaidml._DeviceConfig object at 0x00000199E09AC6C8>, <plaidml._DeviceConfig object at 0x00000199E09AC388>]
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   __init__                  DEBUG    Initialized: PlaidMLStats
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   load_active_devices       DEBUG    Setting largest PlaidML device
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   set_largest_gpu           DEBUG    Obtaining largest supported device
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   supported_indices         DEBUG    [1]
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   set_largest_gpu           DEBUG    Max VRAM: 8176.0
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   set_largest_gpu           DEBUG    GPU IDX: 1
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   set_largest_gpu           INFO     Setting GPU to largest available supported device. If you want to override this selection, run `plaidml-setup` from the command line.
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   setup_plaidml             INFO     Using GPU: ['opencl_amd_gfx900.0', 'opencl_amd_gfx900.0']
03/26/2020 13:38:03 MainProcess     MainThread      plaidml_tools   setup_plaidml             INFO     Successfully set up for PlaidML
03/26/2020 13:38:03 MainProcess     MainThread      cli             setup_amd                 DEBUG    setup up for PlaidML
03/26/2020 13:38:05 MainProcess     MainThread      cli             test_for_tf_version       DEBUG    Installed Tensorflow Version: 1.15
03/26/2020 13:38:05 MainProcess     MainThread      queue_manager   __init__                  DEBUG    Initializing QueueManager
03/26/2020 13:38:05 MainProcess     MainThread      queue_manager   __init__                  DEBUG    Initialized QueueManager
03/26/2020 13:38:05 MainProcess     MainThread      mask            __init__                  DEBUG    Initializing Mask: (arguments: Namespace(alignments='C:\\Users\\Jim\\Documents\\DF\\Models\\AxB\\Video\\A-Video_alignments.fsa', blur_kernel=3, colab=False, configfile=None, full_frame=False, func=<bound method ScriptExecutor.execute_script of <lib.cli.ScriptExecutor object at 0x00000199DFF78708>>, input='C:\\Users\\Jim\\Documents\\DF\\Models\\AxB\\Video\\A-Video.mp4', input_type='frames', logfile=None, loglevel='INFO', masker='vgg-obstructed', output=None, output_type='combined', processing='missing', redirect_gui=True, threshold=4)
03/26/2020 13:38:05 MainProcess     MainThread      plaidml_tools   initialize                DEBUG    PlaidML already initialized
03/26/2020 13:38:05 MainProcess     MainThread      plaidml_tools   get_supported_devices     DEBUG    [<plaidml._DeviceConfig object at 0x00000199F8A756C8>]
03/26/2020 13:38:05 MainProcess     MainThread      plaidml_tools   get_all_devices           DEBUG    Experimental Devices: [<plaidml._DeviceConfig object at 0x00000199F8AE9F48>]
03/26/2020 13:38:05 MainProcess     MainThread      plaidml_tools   get_all_devices           DEBUG    [<plaidml._DeviceConfig object at 0x00000199F8AE9F48>, <plaidml._DeviceConfig object at 0x00000199F8A756C8>]
03/26/2020 13:38:05 MainProcess     MainThread      plaidml_tools   __init__                  DEBUG    Initialized: PlaidMLStats
03/26/2020 13:38:05 MainProcess     MainThread      plaidml_tools   supported_indices         DEBUG    [1]
03/26/2020 13:38:05 MainProcess     MainThread      plaidml_tools   supported_indices         DEBUG    [1]
Traceback (most recent call last):
  File "C:\Users\Jim\faceswap\lib\cli.py", line 127, in execute_script
    process = script(arguments)
  File "C:\Users\Jim\faceswap\tools\mask\mask.py", line 44, in __init__
    suffix=self._get_output_suffix())
  File "C:\Users\Jim\faceswap\tools\mask\mask.py", line 260, in _get_output_suffix
    sfx += "face_" if not self._output["full_frame"] or self._input_is_faces else "frame_"
AttributeError: 'Mask' object has no attribute '_output'

============ System Information ============
encoding:            cp1252
git_branch:          staging
git_commits:         3d88630 Core Update (#995). 4153a7e Tools Restructure (#990)
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. - gfx900 (experimental), GPU_1: Advanced Micro Devices, Inc. - gfx900 (supported)
gpu_devices_active:  GPU_0, GPU_1
gpu_driver:          ['3004.8 (PAL,HSAIL)', '3004.8 (PAL,HSAIL)']
gpu_vram:            GPU_0: 8176MB, GPU_1: 8176MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.18362-SP0
os_release:          10
py_command:          C:\Users\Jim\faceswap\tools.py mask -a C:/Users/Jim/Documents/DF/Models/AxB/Video/A-Video_alignments.fsa -i C:/Users/Jim/Documents/DF/Models/AxB/Video/A-Video.mp4 -it frames -M vgg-obstructed -p missing -b 3 -t 4 -ot combined -L INFO -gui
py_conda_version:    conda 4.8.3
py_implementation:   CPython
py_version:          3.7.6
py_virtual_env:      True
sys_cores:           8
sys_processor:       Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
sys_ram:             Total: 16344MB, Available: 9219MB, Used: 7124MB, Free: 9219MB

=============== 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==2.12.0
decorator==4.4.2
enum34==1.1.10
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==0.1.8
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
plaidml==0.6.4
plaidml-keras==0.6.4
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
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\Jim\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_0
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 2.12.0 py_0
decorator 4.4.2 py_0
enum34 1.1.10 pypi_0 pypi 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 0.1.8 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
plaidml 0.6.4 pypi_0 pypi plaidml-keras 0.6.4 pypi_0 pypi 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 3.7.6 h60c2a47_2
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 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 46.0.0 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: 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: gaussian 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: 75.0 mask_type: vgg-obstructed mask_blur_kernel: 3 mask_threshold: 4 learn_mask: False icnr_init: False conv_aware_init: True 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: lowmem details: fast output_size: 256 [model.original] lowmem: True [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

Thanks again for your help.


Re: Error: Failed to Convert Image

Posted: Fri Mar 27, 2020 10:38 am
by torzdf

Update to latest code. This bug was fixed a few days ago