thanks a lot for the fast reply.
I deinstalled everything and rebooted my system, than started the installer but got an error after downloading Miniconda.
The error is in creating a virtual environment and the installation get aborted.
That was the reason why i installed anaconda3 manually when i got first issues with FS.
(it was anaconda 3 2020.7 with Python 3.8)
I've tried installing FS via installer twice now and everytime it couldn't create the environment for FS and installation got aborted.
I've than installed anaconda3 2020.07 again and created the FS environment, opened the terminal and followed the steps here.
checking Anaconda navigator, all these three show up in FS environment (but not in base root, do they have to be there too?)
But while installing pywin32 i've got this error message twice
Installing Cuda Toolkit also wasn't possible as it said this: couldnt install Cuda Toolkit with Conda. Please install this package manually.
So i guess what i should do now is just install the Cuda Toolkit.
Versions i've still got on my HDD is 10.0.13._411.31 and 7.0.28
couldn't got the gui to start but using update_deps.py via terminal helped here. Gui did start and first attempt of training seemed to work but slow and also looked like it's still using CPU for training.
Loaded another model, started training and got an error (at least no python crash)
Code: Select all
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'lowmem', datatype: '<class 'bool'>', default: 'False', info: 'Lower memory mode. Set to 'True' if having issues with VRAM useage.\nNB: Models with a changed lowmem mode are not compatible with each other.\nNB: lowmem will override cutom nodes and complexity settings.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'nodes', datatype: '<class 'int'>', default: '1024', info: 'Number of nodes for decoder. Don't change this unless you know what you are doing!', rounding: '64', min_max: (512, 4096), choices: [], gui_radio: False, fixed: True, group: network)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'complexity_encoder', datatype: '<class 'int'>', default: '128', info: 'Encoder Convolution Layer Complexity. sensible ranges: 128 to 160.', rounding: '16', min_max: (64, 1024), choices: [], gui_radio: False, fixed: True, group: network)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'complexity_decoder_a', datatype: '<class 'int'>', default: '384', info: 'Decoder A Complexity.', rounding: '16', min_max: (64, 1024), choices: [], gui_radio: False, fixed: True, group: network)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'complexity_decoder_b', datatype: '<class 'int'>', default: '512', info: 'Decoder B Complexity.', rounding: '16', min_max: (64, 1024), choices: [], gui_radio: False, fixed: True, group: network)
11/07/2022 11:31:30 MainProcess _training config _load_defaults_from_module DEBUG Added defaults: model.unbalanced
11/07/2022 11:31:30 MainProcess _training config _load_defaults_from_module DEBUG Adding defaults: (filename: villain_defaults.py, module_path: plugins.train.model, plugin_type: model
11/07/2022 11:31:30 MainProcess _training config _load_defaults_from_module DEBUG Importing defaults module: plugins.train.model.villain_defaults
11/07/2022 11:31:30 MainProcess _training config add_section DEBUG Add section: (title: 'model.villain', info: 'A Higher resolution version of the Original Model by VillainGuy.\nExtremely VRAM heavy. Don't try to run this if you have a small GPU.\n')
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'model.villain', title: 'lowmem', datatype: '<class 'bool'>', default: 'False', info: 'Lower memory mode. Set to 'True' if having issues with VRAM useage.\nNB: Models with a changed lowmem mode are not compatible with each other.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
11/07/2022 11:31:30 MainProcess _training config _load_defaults_from_module DEBUG Added defaults: model.villain
11/07/2022 11:31:30 MainProcess _training config _load_defaults_from_module DEBUG Adding defaults: (filename: original_defaults.py, module_path: plugins.train.trainer, plugin_type: trainer
11/07/2022 11:31:30 MainProcess _training config _load_defaults_from_module DEBUG Importing defaults module: plugins.train.trainer.original_defaults
11/07/2022 11:31:30 MainProcess _training config add_section DEBUG Add section: (title: 'trainer.original', info: 'Original Trainer Options.\nWARNING: The defaults for augmentation will be fine for 99.9% of use cases. Only change them if you absolutely know what you are doing!')
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'preview_images', datatype: '<class 'int'>', default: '14', info: 'Number of sample faces to display for each side in the preview when training.', rounding: '2', min_max: (2, 16), choices: None, gui_radio: False, fixed: True, group: evaluation)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'zoom_amount', datatype: '<class 'int'>', default: '5', info: 'Percentage amount to randomly zoom each training image in and out.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'rotation_range', datatype: '<class 'int'>', default: '10', info: 'Percentage amount to randomly rotate each training image.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'shift_range', datatype: '<class 'int'>', default: '5', info: 'Percentage amount to randomly shift each training image horizontally and vertically.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'flip_chance', datatype: '<class 'int'>', default: '50', info: 'Percentage chance to randomly flip each training image horizontally.\nNB: This is ignored if the 'no-flip' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: True, group: image augmentation)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_lightness', datatype: '<class 'int'>', default: '30', info: 'Percentage amount to randomly alter the lightness of each training image.\nNB: This is ignored if the 'no-augment-color' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: True, group: color augmentation)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_ab', datatype: '<class 'int'>', default: '8', info: 'Percentage amount to randomly alter the 'a' and 'b' colors of the L*a*b* color space of each training image.\nNB: This is ignored if the 'no-augment-color' optionis enabled', rounding: '1', min_max: (0, 50), choices: None, gui_radio: False, fixed: True, group: color augmentation)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_clahe_chance', datatype: '<class 'int'>', default: '50', info: 'Percentage chance to perform Contrast Limited Adaptive Histogram Equalization on each training image.\nNB: This is ignored if the 'no-augment-color' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: False, group: color augmentation)
11/07/2022 11:31:30 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_clahe_max_size', datatype: '<class 'int'>', default: '4', info: 'The grid size dictates how much Contrast Limited Adaptive Histogram Equalization is performed on any training image selected for clahe. Contrast will be applied randomly with a gridsize of 0 up to the maximum. This value is a multiplier calculated from the training image size.\nNB: This is ignored if the 'no-augment-color' option is enabled', rounding: '1', min_max: (1, 8), choices: None, gui_radio: False, fixed: True, group: color augmentation)
11/07/2022 11:31:30 MainProcess _training config _load_defaults_from_module DEBUG Added defaults: trainer.original
11/07/2022 11:31:30 MainProcess _training config handle_config DEBUG Handling config: (section: model.realface, configfile: 'C:\Users\User\faceswap\config\train.ini')
11/07/2022 11:31:30 MainProcess _training config check_exists DEBUG Config file exists: 'C:\Users\User\faceswap\config\train.ini'
11/07/2022 11:31:30 MainProcess _training config load_config VERBOSE Loading config: 'C:\Users\User\faceswap\config\train.ini'
11/07/2022 11:31:30 MainProcess _training config validate_config DEBUG Validating config
11/07/2022 11:31:30 MainProcess _training config check_config_change DEBUG Default config has not changed
11/07/2022 11:31:30 MainProcess _training config check_config_choices DEBUG Checking config choices
11/07/2022 11:31:30 MainProcess _training config _parse_list DEBUG Processed raw option 'keras_encoder' to list ['keras_encoder'] for section 'model.phaze_a', option 'freeze_layers'
11/07/2022 11:31:30 MainProcess _training config _parse_list DEBUG Processed raw option 'encoder' to list ['encoder'] for section 'model.phaze_a', option 'load_layers'
11/07/2022 11:31:30 MainProcess _training config check_config_choices DEBUG Checked config choices
11/07/2022 11:31:30 MainProcess _training config validate_config DEBUG Validated config
11/07/2022 11:31:30 MainProcess _training config handle_config DEBUG Handled config
11/07/2022 11:31:30 MainProcess _training config __init__ DEBUG Initialized: Config
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'learning_rate')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'float'>, value: 5e-05)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'epsilon_exponent')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: -7)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'autoclip')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'bool'>, value: False)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'allow_growth')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'bool'>, value: False)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'mixed_precision')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'bool'>, value: False)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'nan_protection')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'bool'>, value: True)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'convert_batchsize')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 16)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: ssim)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function_2')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: mse)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_weight_2')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 100)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function_3')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: None)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_weight_3')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 0)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function_4')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: None)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_weight_4')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 0)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'mask_loss_function')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: mse)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'eye_multiplier')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 3)
11/07/2022 11:31:30 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'mouth_multiplier')
11/07/2022 11:31:30 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 2)
11/07/2022 11:31:30 MainProcess _training config changeable_items DEBUG Alterable for existing models: {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}
11/07/2022 11:31:30 MainProcess _training model __init__ DEBUG Initializing State: (model_dir: 'C:\Users\User\Documents\FS\16.0\1\M', model_name: 'realface', config_changeable_items: '{'learning_rate': 5e-05, 'epsilon_exponent': -7, 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}', no_logs: False
11/07/2022 11:31:30 MainProcess _training serializer get_serializer DEBUG <lib.serializer._JSONSerializer object at 0x000000001093C820>
11/07/2022 11:31:30 MainProcess _training model _load DEBUG Loading State
11/07/2022 11:31:30 MainProcess _training model _load INFO No existing state file found. Generating.
11/07/2022 11:31:30 MainProcess _training model _new_session_id DEBUG 1
11/07/2022 11:31:30 MainProcess _training model _create_new_session DEBUG Creating new session. id: 1
11/07/2022 11:31:30 MainProcess _training model __init__ DEBUG Initialized State:
11/07/2022 11:31:30 MainProcess _training settings __init__ DEBUG Initializing Settings: (arguments: Namespace(batch_size=16, colab=False, configfile=None, distributed=False, distribution_strategy='default', exclude_gpus=None, freeze_weights=False, func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x000000000385EEE0>>, input_a='C:\\Users\\User\\Documents\\FS\\16.0\\1\\F', input_b='C:\\Users\\User\\Documents\\FS\\16.0\\2\\F', iterations=1000000, load_weights=None, logfile=None, loglevel='INFO', model_dir='C:\\Users\\User\\Documents\\FS\\16.0\\1\\M', no_augment_color=False, no_flip=False, no_logs=False, no_warp=False, preview=False, redirect_gui=True, save_interval=250, snapshot_interval=25000, summary=False, timelapse_input_a=None, timelapse_input_b=None, timelapse_output=None, trainer='realface', warp_to_landmarks=False, write_image=False), mixed_precision: False, allow_growth: False, is_predict: False)
11/07/2022 11:31:30 MainProcess _training settings _set_tf_settings DEBUG Not setting any specific Tensorflow settings
11/07/2022 11:31:30 MainProcess _training settings _set_keras_mixed_precision DEBUG use_mixed_precision: False
11/07/2022 11:31:30 MainProcess _training settings _set_keras_mixed_precision DEBUG Disabling mixed precision. (Compute dtype: float32, variable_dtype: float32)
11/07/2022 11:31:30 MainProcess _training settings _get_strategy DEBUG Using strategy: <tensorflow.python.distribute.distribute_lib._DefaultDistributionStrategy object at 0x0000000012D93B80>
11/07/2022 11:31:30 MainProcess _training settings __init__ DEBUG Initialized Settings
11/07/2022 11:31:30 MainProcess _training settings __init__ DEBUG Initializing Loss: (color_order: bgr)
11/07/2022 11:31:30 MainProcess _training settings _get_mask_channels DEBUG uses_masks: (True, True, True), mask_channels: [3, 4, 5]
11/07/2022 11:31:30 MainProcess _training settings __init__ DEBUG Initialized: Loss
11/07/2022 11:31:30 MainProcess _training model __init__ DEBUG Initialized ModelBase (Model)
11/07/2022 11:31:30 MainProcess _training realface check_input_output DEBUG Input and output sizes are valid
11/07/2022 11:31:30 MainProcess _training realface get_dense_width_upscalers_numbers DEBUG dense_width: 4, upscalers_no: 5
11/07/2022 11:31:30 MainProcess _training settings strategy_scope DEBUG Using strategy scope: <tensorflow.python.distribute.distribute_lib._DefaultDistributionContext object at 0x000000001067A780>
11/07/2022 11:31:30 MainProcess _training io _load DEBUG Loading model: C:\Users\User\Documents\FS\16.0\1\M\realface.h5
11/07/2022 11:31:30 MainProcess _training multithreading run DEBUG Error in thread (_training): Unable to open file (bad object header version number)
11/07/2022 11:31:30 MainProcess MainThread train _monitor DEBUG Thread error detected
11/07/2022 11:31:30 MainProcess MainThread train _monitor DEBUG Closed Monitor
11/07/2022 11:31:30 MainProcess MainThread train _end_thread DEBUG Ending Training thread
11/07/2022 11:31:30 MainProcess MainThread train _end_thread CRITICAL Error caught! Exiting...
11/07/2022 11:31:30 MainProcess MainThread multithreading join DEBUG Joining Threads: '_training'
11/07/2022 11:31:30 MainProcess MainThread multithreading join DEBUG Joining Thread: '_training'
11/07/2022 11:31:30 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training'
Traceback (most recent call last):
File "C:\Users\User\faceswap\lib\cli\launcher.py", line 217, in execute_script
process.process()
File "C:\Users\User\faceswap\scripts\train.py", line 218, in process
self._end_thread(thread, err)
File "C:\Users\User\faceswap\scripts\train.py", line 258, in _end_thread
thread.join()
File "C:\Users\User\faceswap\lib\multithreading.py", line 217, in join
raise thread.err[1].with_traceback(thread.err[2])
File "C:\Users\User\faceswap\lib\multithreading.py", line 96, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\User\faceswap\scripts\train.py", line 280, in _training
raise err
File "C:\Users\User\faceswap\scripts\train.py", line 268, in _training
model = self._load_model()
File "C:\Users\User\faceswap\scripts\train.py", line 296, in _load_model
model.build()
File "C:\Users\User\faceswap\plugins\train\model\_base\model.py", line 302, in build
model = self._io._load() # pylint:disable=protected-access
File "C:\Users\User\faceswap\plugins\train\model\_base\io.py", line 152, in _load
model = load_model(self._filename, compile=False)
File "C:\Users\User\anaconda3\lib\site-packages\keras\utils\traceback_utils.py", line 67, in error_handler
raise e.with_traceback(filtered_tb) from None
File "C:\Users\User\anaconda3\lib\site-packages\h5py\_hl\files.py", line 406, in __init__
fid = make_fid(name, mode, userblock_size,
File "C:\Users\User\anaconda3\lib\site-packages\h5py\_hl\files.py", line 173, in make_fid
fid = h5f.open(name, flags, fapl=fapl)
File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py\h5f.pyx", line 88, in h5py.h5f.open
OSError: Unable to open file (bad object header version number)
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 128a4d0 Merge branch 'staging'
gpu_cuda: 10.0
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: NVIDIA GeForce RTX 2060
gpu_devices_active: GPU_0
gpu_driver: 473.04
gpu_vram: GPU_0: 12079MB
os_machine: AMD64
os_platform: Windows-7-6.1.7601-SP1
os_release: 7
py_command: C:\Users\User\faceswap\faceswap.py train -A C:/Users/User/Documents/FS/16.0/1/F -B C:/Users/User/Documents/FS/16.0/2/F -m C:/Users/User/Documents/FS/16.0/1/M -t realface -bs 16 -it 1000000 -D default -s 250 -ss 25000 -L INFO -gui
py_conda_version: conda 22.9.0
py_implementation: CPython
py_version: 3.8.3
py_virtual_env: False
sys_cores: 16
sys_processor: Intel64 Family 6 Model 167 Stepping 1, GenuineIntel
sys_ram: Total: 32655MB, Available: 27359MB, Used: 5295MB, Free: 27359MB
=============== Pip Packages ===============
absl-py==1.3.0
alabaster==0.7.12
anaconda-client==1.7.2
anaconda-navigator==1.9.12
anaconda-project==0.8.3
argh==0.26.2
asn1crypto==1.3.0
astroid @ file:///C:/ci/astroid_1592487315634/work
astropy==4.0.1.post1
astunparse==1.6.3
atomicwrites==1.4.0
attrs==19.3.0
autopep8 @ file:///tmp/build/80754af9/autopep8_1592412889138/work
Babel==2.8.0
backcall==0.2.0
backports.functools-lru-cache @ file:///tmp/build/80754af9/backports.functools_lru_cache_1618170165463/work
backports.shutil-get-terminal-size==1.0.0
backports.tempfile @ file:///home/linux1/recipes/ci/backports.tempfile_1610991236607/work
backports.weakref==1.0.post1
bcrypt==3.1.7
beautifulsoup4==4.9.1
bitarray @ file:///C:/ci/bitarray_1594751093906/work
bkcharts==0.2
bleach==3.1.5
bokeh @ file:///C:/ci/bokeh_1593178781838/work
boto==2.49.0
Bottleneck==1.3.2
brotlipy==0.7.0
cachetools==5.2.0
certifi @ file:///C:/b/abs_ac29jvt43w/croot/certifi_1665076682579/work/certifi
cffi==1.14.0
chardet==3.0.4
click==7.1.2
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1594141588948/work
clyent==1.2.2
colorama==0.4.3
comtypes==1.1.7
conda==22.9.0
conda-build==3.22.0
conda-package-handling @ file:///C:/b/abs_44a2d5ajjt/croot/conda-package-handling_1666940385350/work
conda-verify==3.4.2
contextlib2==0.6.0.post1
cryptography==2.9.2
cycler==0.10.0
Cython @ file:///C:/ci/cython_1594829190914/work
cytoolz==0.10.1
dask @ file:///tmp/build/80754af9/dask-core_1594156306305/work
decorator==4.4.2
defusedxml==0.6.0
diff-match-patch @ file:///tmp/build/80754af9/diff-match-patch_1594828741838/work
distributed @ file:///C:/ci/distributed_1594742844291/work
dm-tree==0.1.7
docutils==0.16
entrypoints==0.3
et-xmlfile==1.0.1
fastcache==1.1.0
fastcluster @ file:///D:/bld/fastcluster_1649783471515/work
ffmpy==0.3.0
filelock==3.0.12
flake8==3.8.3
Flask==1.1.2
flatbuffers==1.12
fonttools==4.25.0
fsspec==0.7.4
future==0.18.2
gast==0.4.0
gevent @ file:///C:/ci/gevent_1593005471151/work
glob2==0.7
gmpy2==2.0.8
google-auth==2.14.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
greenlet==0.4.16
grpcio==1.50.0
h5py==2.10.0
HeapDict==1.0.1
html5lib @ file:///tmp/build/80754af9/html5lib_1593446221756/work
idna @ file:///tmp/build/80754af9/idna_1593446292537/work
imageio @ file:///C:/Windows/TEMP/abs_24c1b783-7540-4ca9-a1b1-0e8aa8e6ae64hb79ssux/croots/recipe/imageio_1658785038775/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1649960641006/work
imagesize==1.2.0
importlib-metadata==5.0.0
intervaltree @ file:///tmp/build/80754af9/intervaltree_1594361675072/work
ipykernel @ file:///C:/ci/ipykernel_1594745408489/work/dist/ipykernel-5.3.2-py3-none-any.whl
ipython @ file:///C:/ci/ipython_1593447482397/work
ipython-genutils==0.2.0
ipywidgets==7.5.1
isort==4.3.21
itsdangerous==1.1.0
jdcal==1.4.1
jedi @ file:///C:/ci/jedi_1592833825077/work
Jinja2==2.11.2
joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work
json5==0.9.5
jsonschema==3.2.0
jupyter==1.0.0
jupyter-client @ file:///tmp/build/80754af9/jupyter_client_1594826976318/work
jupyter-console==6.1.0
jupyter-core==4.6.3
jupyterlab==2.1.5
jupyterlab-server @ file:///tmp/build/80754af9/jupyterlab_server_1594164409481/work
keras==2.9.0
Keras-Preprocessing==1.1.2
keyring @ file:///C:/ci/keyring_1593109799227/work
kiwisolver==1.2.0
lazy-object-proxy==1.4.3
libarchive-c==2.9
libclang==14.0.6
llvmlite==0.33.0+1.g022ab0f
locket==0.2.0
lxml @ file:///C:/ci/lxml_1594822774489/work
Markdown==3.4.1
MarkupSafe==1.1.1
matplotlib @ file:///C:/ci/matplotlib-suite_1660169687702/work
mccabe==0.6.1
menuinst==1.4.16
mistune==0.8.4
mkl-fft==1.3.1
mkl-random @ file:///C:/ci/mkl_random_1626186184278/work
mkl-service==2.4.0
mock==4.0.2
more-itertools==8.4.0
mpmath==1.1.0
msgpack==1.0.0
multipledispatch==0.6.0
munkres==1.1.4
navigator-updater==0.2.1
nbconvert==5.6.1
nbformat==5.0.7
networkx @ file:///tmp/build/80754af9/networkx_1594377231366/work
nltk @ file:///tmp/build/80754af9/nltk_1592496090529/work
nose==1.3.7
notebook==6.0.3
numba==0.50.1
numexpr @ file:///C:/Windows/Temp/abs_e2036a32-9fe9-47f3-a04c-dbb1c232ba4b334exiur/croots/recipe/numexpr_1656940304835/work
numpy==1.23.4
numpydoc @ file:///tmp/build/80754af9/numpydoc_1594166760263/work
nvidia-ml-py==11.515.75
oauthlib==3.2.2
olefile==0.46
opencv-python==4.6.0.66
openpyxl @ file:///tmp/build/80754af9/openpyxl_1594167385094/work
opt-einsum==3.3.0
packaging==20.4
pandas @ file:///C:/ci/pandas_1592833613419/work
pandocfilters==1.4.2
paramiko==2.7.1
parso==0.7.0
partd==1.1.0
path==13.1.0
pathlib2==2.3.5
pathtools==0.1.2
patsy==0.5.1
pep8==1.7.1
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.2.0
pkginfo==1.5.0.1
pluggy==0.13.1
ply==3.11
prometheus-client==0.8.0
prompt-toolkit==3.0.5
protobuf==3.19.6
psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
py @ file:///tmp/build/80754af9/py_1593446248552/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycodestyle==2.6.0
pycosat==0.6.3
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
pycurl==7.43.0.5
pydocstyle @ file:///tmp/build/80754af9/pydocstyle_1592848020240/work
pyflakes==2.2.0
Pygments==2.6.1
pylint @ file:///C:/ci/pylint_1592482039483/work
PyNaCl @ file:///C:/ci/pynacl_1595000047588/work
pyodbc===4.0.0-unsupported
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1594392929924/work
pyparsing==2.4.7
pyreadline==2.1
pyrsistent==0.16.0
PySocks==1.7.1
pytest==5.4.3
python-dateutil==2.8.1
python-jsonrpc-server @ file:///tmp/build/80754af9/python-jsonrpc-server_1594397536060/work
python-language-server @ file:///C:/ci/python-language-server_1594162130238/work
pytz==2020.1
PyWavelets==1.1.1
pywin32==302
pywin32-ctypes==0.2.0
pywinpty @ file:///C:/ci_310/pywinpty_1644230983541/work/target/wheels/pywinpty-2.0.2-cp38-none-win_amd64.whl
PyYAML==5.3.1
pyzmq==19.0.1
QDarkStyle==2.8.1
QtAwesome==0.7.2
qtconsole @ file:///tmp/build/80754af9/qtconsole_1592848611704/work
QtPy==1.9.0
regex @ file:///C:/ci/regex_1593419644658/work
requests @ file:///tmp/build/80754af9/requests_1592841827918/work
requests-oauthlib==1.3.1
rope==0.17.0
rsa==4.9
Rtree==0.9.4
ruamel-yaml==0.15.87
scikit-image==0.16.2
scikit-learn @ file:///D:/bld/scikit-learn_1640464350231/work
scipy @ file:///C:/ci/scipy_1661330047857/work
seaborn==0.10.1
Send2Trash==1.5.0
simplegeneric==0.8.1
singledispatch==3.4.0.3
sip==4.19.13
six==1.15.0
snowballstemmer==2.0.0
sortedcollections==1.2.1
sortedcontainers==2.2.2
soupsieve==2.0.1
Sphinx @ file:///tmp/build/80754af9/sphinx_1594223420021/work
sphinxcontrib-applehelp==1.0.2
sphinxcontrib-devhelp==1.0.2
sphinxcontrib-htmlhelp==1.0.3
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-qthelp==1.0.3
sphinxcontrib-serializinghtml==1.1.4
sphinxcontrib-websupport @ file:///tmp/build/80754af9/sphinxcontrib-websupport_1593446360927/work
spyder @ file:///C:/ci/spyder_1594830825244/work
spyder-kernels @ file:///C:/ci/spyder-kernels_1594751670175/work
SQLAlchemy @ file:///C:/ci/sqlalchemy_1593445271541/work
statsmodels==0.11.1
sympy @ file:///C:/ci/sympy_1594234545115/work
tables==3.6.1
tblib==1.6.0
tensorboard==2.9.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow==2.9.2
tensorflow-estimator==2.9.0
tensorflow-gpu==2.9.2
tensorflow-io-gcs-filesystem==0.27.0
tensorflow-probability==0.14.0
termcolor==2.1.0
terminado==0.8.3
testpath==0.4.4
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
toml @ file:///tmp/build/80754af9/toml_1592853716807/work
toolz==0.10.0
tornado==6.0.4
tqdm @ file:///C:/b/abs_0axbz66qik/croots/recipe/tqdm_1664392691071/work
traitlets==4.3.3
typing-extensions @ file:///C:/Windows/TEMP/abs_dd2d0moa85/croots/recipe/typing_extensions_1659638831135/work
ujson==1.35
unicodecsv==0.14.1
urllib3==1.25.9
watchdog @ file:///C:/ci/watchdog_1593447437088/work
wcwidth @ file:///tmp/build/80754af9/wcwidth_1593447189090/work
webencodings==0.5.1
Werkzeug==1.0.1
widgetsnbextension==3.5.1
win-inet-pton==1.1.0
win-unicode-console==0.5
wincertstore==0.2
wrapt==1.11.2
xlrd==1.2.0
XlsxWriter==1.2.9
xlwings==0.19.5
xlwt==1.3.0
xmltodict @ file:///Users/ktietz/demo/mc3/conda-bld/xmltodict_1629301980723/work
yapf @ file:///tmp/build/80754af9/yapf_1593528177422/work
zict==2.0.0
zipp==3.1.0
zope.event==4.4
zope.interface==4.7.1
============== Conda Packages ==============
# packages in environment at C:\Users\User\anaconda3:
#
# Name Version Build Channel
_anaconda_depends 2020.07 py38_0
_ipyw_jlab_nb_ext_conf 0.1.0 py38_0
absl-py 1.3.0 pypi_0 pypi
alabaster 0.7.12 py_0
anaconda custom py38_1
anaconda-client 1.7.2 py38_0
anaconda-navigator 1.9.12 py38_0
anaconda-project 0.8.4 py_0
argh 0.26.2 py38_0
asn1crypto 1.3.0 py38_0
astroid 2.4.2 py38_0
astropy 4.0.1.post1 py38he774522_1
astunparse 1.6.3 pypi_0 pypi
atomicwrites 1.4.0 py_0
attrs 19.3.0 py_0
autopep8 1.5.3 py_0
babel 2.8.0 py_0
backcall 0.2.0 py_0
backports 1.0 py_2
backports.functools_lru_cache 1.6.4 pyhd3eb1b0_0
backports.shutil_get_terminal_size 1.0.0 py38_2
backports.tempfile 1.0 pyhd3eb1b0_1
backports.weakref 1.0.post1 py_1
bcrypt 3.1.7 py38he774522_1
beautifulsoup4 4.9.1 py38_0
bitarray 1.4.0 py38he774522_0
bkcharts 0.2 py38_0
blas 1.0 mkl
bleach 3.1.5 py_0
blosc 1.19.0 h7bd577a_0
bokeh 2.1.1 py38_0
boto 2.49.0 py38_0
bottleneck 1.3.2 py38h2a96729_1
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
brotlipy 0.7.0 py38he774522_1000
bzip2 1.0.8 he774522_0
ca-certificates 2022.10.11 haa95532_0
cachetools 5.2.0 pypi_0 pypi
certifi 2022.9.24 py38haa95532_0
cffi 1.14.0 py38h7a1dbc1_0
chardet 3.0.4 py38_1003
click 7.1.2 py_0
cloudpickle 1.5.0 py_0
clyent 1.2.2 py38_1
colorama 0.4.3 py_0
comtypes 1.1.7 py38_1001
conda 22.9.0 py38haa95532_0
conda-build 3.22.0 py38haa95532_0
conda-env 2.6.0 1
conda-package-handling 1.9.0 py38h8cc25b3_1
conda-verify 3.4.2 py_1
console_shortcut 0.1.1 4
contextlib2 0.6.0.post1 py_0
cryptography 2.9.2 py38h7a1dbc1_0
curl 7.71.1 h2a8f88b_1
cycler 0.10.0 py38_0
cython 0.29.21 py38ha925a31_0
cytoolz 0.10.1 py38he774522_0
dask 2.20.0 py_0
dask-core 2.20.0 py_0
decorator 4.4.2 py_0
defusedxml 0.6.0 py_0
diff-match-patch 20200713 py_0
distributed 2.20.0 py38_0
dm-tree 0.1.7 pypi_0 pypi
docutils 0.16 py38_1
entrypoints 0.3 py38_0
et_xmlfile 1.0.1 py_1001
fastcache 1.1.0 py38he774522_0
fastcluster 1.2.6 py38hcc40339_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.3.0 pypi_0 pypi
fftw 3.3.9 h2bbff1b_1
filelock 3.0.12 py_0
flake8 3.8.3 py_0
flask 1.1.2 py_0
flatbuffers 1.12 pypi_0 pypi
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
fsspec 0.7.4 py_0
future 0.18.2 py38_1
gast 0.4.0 pypi_0 pypi
get_terminal_size 1.0.0 h38e98db_0
gevent 20.6.2 py38he774522_0
glob2 0.7 py_0
gmpy2 2.0.8 py38h7edee0f_3
google-auth 2.14.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
greenlet 0.4.16 py38he774522_0
grpcio 1.50.0 pypi_0 pypi
h5py 2.10.0 py38h5e291fa_0
hdf5 1.10.4 h7ebc959_0
heapdict 1.0.1 py_0
html5lib 1.1 py_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 py_0
imageio 2.19.3 py38haa95532_0
imageio-ffmpeg 0.4.7 pyhd8ed1ab_0 conda-forge
imagesize 1.2.0 py_0
importlib-metadata 5.0.0 pypi_0 pypi
importlib_metadata 1.7.0 0
intel-openmp 2021.4.0 haa95532_3556
intervaltree 3.0.2 py_1
ipykernel 5.3.2 py38h5ca1d4c_0
ipython 7.16.1 py38h5ca1d4c_0
ipython_genutils 0.2.0 py38_0
ipywidgets 7.5.1 py_0
isort 4.3.21 py38_0
itsdangerous 1.1.0 py_0
jdcal 1.4.1 py_0
jedi 0.17.1 py38_0
jinja2 2.11.2 py_0
joblib 0.16.0 py_0
jpeg 9b hb83a4c4_2
json5 0.9.5 py_0
jsonschema 3.2.0 py38_0
jupyter 1.0.0 py38_7
jupyter_client 6.1.6 py_0
jupyter_console 6.1.0 py_0
jupyter_core 4.6.3 py38_0
jupyterlab 2.1.5 py_0
jupyterlab_server 1.2.0 py_0
keras 2.9.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
keyring 21.2.1 py38_0
kiwisolver 1.2.0 py38h74a9793_0
krb5 1.18.2 hc04afaa_0
lazy-object-proxy 1.4.3 py38he774522_0
libarchive 3.4.2 h5e25573_0
libblas 3.9.0 1_h8933c1f_netlib conda-forge
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libcblas 3.9.0 5_hd5c7e75_netlib conda-forge
libclang 14.0.6 pypi_0 pypi
libcurl 7.71.1 h2a8f88b_1
libiconv 1.15 h1df5818_7
liblief 0.10.1 ha925a31_0
libllvm9 9.0.1 h21ff451_0
libpng 1.6.37 h2a8f88b_0
libsodium 1.0.18 h62dcd97_0
libspatialindex 1.9.3 h33f27b4_0
libssh2 1.9.0 h7a1dbc1_1
libtiff 4.1.0 h56a325e_1
libwebp 1.2.4 h2bbff1b_0
libwebp-base 1.2.4 h2bbff1b_0
libxml2 2.9.10 h464c3ec_1
libxslt 1.1.34 he774522_0
llvmlite 0.33.0 py38ha925a31_0
locket 0.2.0 py38_1
lxml 4.5.2 py38h1350720_0
lz4-c 1.9.2 h62dcd97_0
lzo 2.10 he774522_2
m2-msys2-runtime 2.5.0.17080.65c939c 3
m2-patch 2.7.5 2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markdown 3.4.1 pypi_0 pypi
markupsafe 1.1.1 py38he774522_0
matplotlib 3.5.2 py38haa95532_0
matplotlib-base 3.5.2 py38hd77b12b_0
mccabe 0.6.1 py38_1
menuinst 1.4.16 py38he774522_1
mistune 0.8.4 py38he774522_1000
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py38h2bbff1b_0
mkl_fft 1.3.1 py38h277e83a_0
mkl_random 1.2.2 py38hf11a4ad_0
mock 4.0.2 py_0
more-itertools 8.4.0 py_0
mpc 1.1.0 h7edee0f_1
mpfr 4.0.2 h62dcd97_1
mpir 3.0.0 hec2e145_1
mpmath 1.1.0 py38_0
msgpack-python 1.0.0 py38h74a9793_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py38_0
munkres 1.1.4 py_0
navigator-updater 0.2.1 py38_0
nbconvert 5.6.1 py38_0
nbformat 5.0.7 py_0
networkx 2.4 py_1
nltk 3.5 py_0
nose 1.3.7 py38_2
notebook 6.0.3 py38_0
numba 0.50.1 py38h47e9c7a_0
numexpr 2.8.3 py38hb80d3ca_0
numpy 1.23.4 pypi_0 pypi
numpy-base 1.21.5 py38hca35cd5_3
numpydoc 1.1.0 py_0
nvidia-ml-py 11.515.75 pypi_0 pypi
oauthlib 3.2.2 pypi_0 pypi
olefile 0.46 py_0
opencv-python 4.6.0.66 pypi_0 pypi
openpyxl 3.0.4 py_0
openssl 1.1.1s h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 20.4 py_0
pandas 1.0.5 py38h47e9c7a_0
pandoc 2.10 0
pandocfilters 1.4.2 py38_1
paramiko 2.7.1 py_0
parso 0.7.0 py_0
partd 1.1.0 py_0
path 13.1.0 py38_0
path.py 12.4.0 0
pathlib2 2.3.5 py38_0
pathtools 0.1.2 py_1
patsy 0.5.1 py38_0
pep8 1.7.1 py38_0
pexpect 4.8.0 py38_0
pickleshare 0.7.5 py38_1000
pillow 9.2.0 py38hdc2b20a_1
pip 20.1.1 py38_1
pkginfo 1.5.0.1 py38_0
pluggy 0.13.1 py38_0
ply 3.11 py38_0
powershell_shortcut 0.0.1 3
prometheus_client 0.8.0 py_0
prompt-toolkit 3.0.5 py_0
prompt_toolkit 3.0.5 0
protobuf 3.19.6 pypi_0 pypi
psutil 5.9.0 py38h2bbff1b_0
py 1.9.0 py_0
py-lief 0.10.1 py38ha925a31_0
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycodestyle 2.6.0 py_0
pycosat 0.6.3 py38he774522_0
pycparser 2.20 py_2
pycurl 7.43.0.5 py38h7a1dbc1_0
pydocstyle 5.0.2 py_0
pyflakes 2.2.0 py_0
pygments 2.6.1 py_0
pylint 2.5.3 py38_0
pynacl 1.4.0 py38h62dcd97_1
pyodbc 4.0.30 py38ha925a31_0
pyopenssl 19.1.0 py_1
pyparsing 2.4.7 py_0
pyqt 5.9.2 py38ha925a31_4
pyreadline 2.1 py38_1
pyrsistent 0.16.0 py38he774522_0
pysocks 1.7.1 py38_0
pytables 3.6.1 py38ha5be198_0
pytest 5.4.3 py38_0
python 3.8.3 he1778fa_2
python-dateutil 2.8.1 py_0
python-jsonrpc-server 0.3.4 py_1
python-language-server 0.34.1 py38_0
python-libarchive-c 2.9 py_0
python_abi 3.8 2_cp38 conda-forge
pytz 2020.1 py_0
pywavelets 1.1.1 py38he774522_0
pywin32 302 py38h2bbff1b_2
pywin32-ctypes 0.2.0 py38_1000
pywinpty 2.0.2 py38h5da7b33_0
pyyaml 5.3.1 py38he774522_1
pyzmq 19.0.1 py38ha925a31_1
qdarkstyle 2.8.1 py_0
qt 5.9.7 vc14h73c81de_0
qtawesome 0.7.2 py_0
qtconsole 4.7.5 py_0
qtpy 1.9.0 py_0
regex 2020.6.8 py38he774522_0
requests 2.24.0 py_0
requests-oauthlib 1.3.1 pypi_0 pypi
rope 0.17.0 py_0
rsa 4.9 pypi_0 pypi
rtree 0.9.4 py38h21ff451_1
ruamel_yaml 0.15.87 py38he774522_1
scikit-image 0.16.2 py38h47e9c7a_0
scikit-learn 1.0.2 py38hb60ee80_0 conda-forge
scipy 1.7.3 py38h7a0a035_2
seaborn 0.10.1 py_0
send2trash 1.5.0 py38_0
setuptools 49.2.0 py38_0
simplegeneric 0.8.1 py38_2
singledispatch 3.4.0.3 py38_0
sip 4.19.13 py38ha925a31_0
six 1.15.0 py_0
snappy 1.1.8 h33f27b4_0
snowballstemmer 2.0.0 py_0
sortedcollections 1.2.1 py_0
sortedcontainers 2.2.2 py_0
soupsieve 2.0.1 py_0
sphinx 3.1.2 py_0
sphinxcontrib 1.0 py38_1
sphinxcontrib-applehelp 1.0.2 py_0
sphinxcontrib-devhelp 1.0.2 py_0
sphinxcontrib-htmlhelp 1.0.3 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.3 py_0
sphinxcontrib-serializinghtml 1.1.4 py_0
sphinxcontrib-websupport 1.2.3 py_0
spyder 4.1.4 py38_0
spyder-kernels 1.9.2 py38_0
sqlalchemy 1.3.18 py38he774522_0
sqlite 3.32.3 h2a8f88b_0
statsmodels 0.11.1 py38he774522_0
sympy 1.6.1 py38_0
tbb 2020.0 h74a9793_0
tblib 1.6.0 py_0
tensorboard 2.9.1 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow 2.9.2 pypi_0 pypi
tensorflow-estimator 2.9.0 pypi_0 pypi
tensorflow-gpu 2.9.2 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.27.0 pypi_0 pypi
tensorflow-probability 0.14.0 pypi_0 pypi
termcolor 2.1.0 pypi_0 pypi
terminado 0.8.3 py38_0
testpath 0.4.4 py_0
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
toml 0.10.1 py_0
toolz 0.10.0 py_0
tornado 6.0.4 py38he774522_1
tqdm 4.64.1 py38haa95532_0
traitlets 4.3.3 py38_0
typing-extensions 4.3.0 py38haa95532_0
typing_extensions 4.3.0 py38haa95532_0
ujson 1.35 py38he774522_0
unicodecsv 0.14.1 py38_0
urllib3 1.25.9 py_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
watchdog 0.10.3 py38_0
wcwidth 0.2.5 py_0
webencodings 0.5.1 py38_1
werkzeug 1.0.1 py_0
wheel 0.34.2 py38_0
widgetsnbextension 3.5.1 py38_0
win_inet_pton 1.1.0 py38_0
win_unicode_console 0.5 py38_0
wincertstore 0.2 py38_0
winpty 0.4.3 4
wrapt 1.11.2 py38he774522_0
xlrd 1.2.0 py_0
xlsxwriter 1.2.9 py_0
xlwings 0.19.5 py38_0
xlwt 1.3.0 py38_0
xmltodict 0.12.0 pyhd3eb1b0_0
xz 5.2.5 h62dcd97_0
yaml 0.2.5 he774522_0
yapf 0.30.0 py_0
zeromq 4.3.2 ha925a31_2
zict 2.0.0 py_0
zipp 3.1.0 py_0
zlib 1.2.11 h62dcd97_4
zope 1.0 py38_1
zope.event 4.4 py38_0
zope.interface 4.7.1 py38he774522_0
zstd 1.4.5 ha9fde0e_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.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
erosion_top: 0.0
erosion_bottom: 0.0
erosion_left: 0.0
erosion_right: 0.0
[scaling.sharpen]
method: none
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
separate_mask: False
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
separate_mask: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: False
aligner_min_scale: 0.07
aligner_max_scale: 2.0
aligner_distance: 22.5
aligner_roll: 45.0
save_filtered: False
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
cpu: True
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.bisenet_fp]
batch-size: 8
cpu: False
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.custom]
batch-size: 8
centering: face
fill: False
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
[recognition.vgg_face2]
batch-size: 16
cpu: False
--------- 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]
centering: face
coverage: 87.5
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
autoclip: False
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
loss_function_2: mse
loss_weight_2: 100
loss_function_3: none
loss_weight_3: 0
loss_function_4: none
loss_weight_4: 0
mask_loss_function: mse
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[model.dfaker]
output_size: 128
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
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.phaze_a]
output_size: 128
shared_fc: none
enable_gblock: True
split_fc: True
split_gblock: False
split_decoders: False
enc_architecture: fs_original
enc_scaling: 7
enc_load_weights: True
bottleneck_type: dense
bottleneck_norm: none
bottleneck_size: 1024
bottleneck_in_encoder: True
fc_depth: 1
fc_min_filters: 1024
fc_max_filters: 1024
fc_dimensions: 4
fc_filter_slope: -0.5
fc_dropout: 0.0
fc_upsampler: upsample2d
fc_upsamples: 1
fc_upsample_filters: 512
fc_gblock_depth: 3
fc_gblock_min_nodes: 512
fc_gblock_max_nodes: 512
fc_gblock_filter_slope: -0.5
fc_gblock_dropout: 0.0
dec_upscale_method: subpixel
dec_upscales_in_fc: 0
dec_norm: none
dec_min_filters: 64
dec_max_filters: 512
dec_slope_mode: full
dec_filter_slope: -0.45
dec_res_blocks: 1
dec_output_kernel: 5
dec_gaussian: True
dec_skip_last_residual: True
freeze_layers: keras_encoder
load_layers: encoder
fs_original_depth: 4
fs_original_min_filters: 128
fs_original_max_filters: 1024
fs_original_use_alt: False
mobilenet_width: 1.0
mobilenet_depth: 1
mobilenet_dropout: 0.001
mobilenet_minimalistic: 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
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