error on extract on first time install
Posted: Tue Dec 06, 2022 2:44 am
hi, i installed for the first time de software and got a error on extract.
somebody can help me?
app error:
Code: Select all
Loading...
Setting Faceswap backend to AMD
12/05/2022 23:22:10 INFO Log level set to: INFO
12/05/2022 23:22:10 INFO Setting GPU to largest available experimental device. If you want to override this selection, run `plaidml-setup` from the command line.
12/05/2022 23:22:10 INFO Setting up for PlaidML
12/05/2022 23:22:10 INFO Setting GPU to largest available experimental device. If you want to override this selection, run `plaidml-setup` from the command line.
12/05/2022 23:22:10 INFO Using GPU(s): ['Advanced Micro Devices, Inc. - gfx1032 (experimental)']
12/05/2022 23:22:10 INFO Successfully set up for PlaidML
12/05/2022 23:22:12 INFO Setting GPU to largest available experimental device. If you want to override this selection, run `plaidml-setup` from the command line.
12/05/2022 23:22:12 INFO Loading Detect from S3Fd plugin...
12/05/2022 23:22:15 ERROR Got Exception on main handler:
Traceback (most recent call last):
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\keras\backend\__init__.py", line 93, in <module>
backend_module = importlib.import_module(_BACKEND)
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1014, in _gcd_import
File "<frozen importlib._bootstrap>", line 991, in _find_and_load
File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 843, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\plaidml\keras\backend.py", line 33, in <module>
import scipy.stats
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\scipy\stats\__init__.py", line 467, in <module>
from ._stats_py import *
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\scipy\stats\_stats_py.py", line 46, in <module>
from . import distributions
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\scipy\stats\distributions.py", line 11, in <module>
from . import _discrete_distns
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\scipy\stats\_discrete_distns.py", line 21, in <module>
from ._biasedurn import (_PyFishersNCHypergeometric,
File "_biasedurn.pyx", line 1, in init scipy.stats._biasedurn
ModuleNotFoundError: No module named 'numpy.random.bit_generator'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\fmKnob\faceswap\lib\cli\launcher.py", line 216, in execute_script
process = script(arguments)
File "C:\Users\fmKnob\faceswap\scripts\extract.py", line 60, in __init__
self._extractor = Extractor(self._args.detector,
File "C:\Users\fmKnob\faceswap\plugins\extract\pipeline.py", line 136, in __init__
self._detect = self._load_detect(detector, rotate_images, min_size, configfile)
File "C:\Users\fmKnob\faceswap\plugins\extract\pipeline.py", line 638, in _load_detect
plugin = PluginLoader.get_detector(detector_name)(exclude_gpus=self._exclude_gpus,
File "C:\Users\fmKnob\faceswap\plugins\plugin_loader.py", line 55, in get_detector
return PluginLoader._import("extract.detect", name, disable_logging)
File "C:\Users\fmKnob\faceswap\plugins\plugin_loader.py", line 197, in _import
module = import_module(mod)
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1014, in _gcd_import
File "<frozen importlib._bootstrap>", line 991, in _find_and_load
File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 843, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "C:\Users\fmKnob\faceswap\plugins\extract\detect\s3fd.py", line 14, in <module>
from lib.model.session import KSession
File "C:\Users\fmKnob\faceswap\lib\model\__init__.py", line 6, in <module>
from .normalization import (AdaInstanceNormalization, GroupNormalization, # noqa
File "C:\Users\fmKnob\faceswap\lib\model\normalization\__init__.py", line 5, in <module>
from .normalization_common import AdaInstanceNormalization # noqa
File "C:\Users\fmKnob\faceswap\lib\model\normalization\normalization_common.py", line 10, in <module>
from keras.utils import get_custom_objects # pylint:disable=no-name-in-module
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\keras\__init__.py", line 3, in <module>
from . import utils
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\keras\utils\__init__.py", line 6, in <module>
from . import conv_utils
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\keras\utils\conv_utils.py", line 9, in <module>
from .. import backend as K
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\keras\backend\__init__.py", line 108, in <module>
raise ValueError('Unable to import backend : ' + str(_BACKEND))
ValueError: Unable to import backend : plaidml.keras.backend
12/05/2022 23:22:15 CRITICAL An unexpected crash has occurred. Crash report written to 'C:\Users\fmKnob\faceswap\crash_report.2022.12.05.232212551522.log'. You MUST provide this file if seeking assistance. Please verify you are running the latest version of faceswap before reporting
Process exited.log file:
Code: Select all
12/05/2022 23:22:10 MainProcess MainThread logger log_setup INFO Log level set to: INFO
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Initializing AMDStats
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Initializing PlaidML for AMD GPU.
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Obtained supported devices: []
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Obtained experimental Devices: [<plaidml._DeviceConfig object at 0x00000191EB25DD90>]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Obtained all Devices: [<plaidml._DeviceConfig object at 0x00000191EB25DD90>]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Obtained Device details: [{'@type': 'type.googleapis.com/vertexai.tile.hal.opencl.proto.DeviceInfo', 'type': 'GPU', 'vendorId': 4098, 'maxComputeUnits': 16, 'workItemDimensionSize': ['1024', '1024', '1024'], 'maxWorkGroupSize': '256', 'preferredVectorWidthChar': 4, 'preferredVectorWidthShort': 2, 'preferredVectorWidthInt': 1, 'preferredVectorWidthLong': 1, 'preferredVectorWidthFloat': 1, 'preferredVectorWidthDouble': 1, 'preferredVectorWidthHalf': 1, 'nativeVectorWidthChar': 4, 'nativeVectorWidthShort': 2, 'nativeVectorWidthInt': 1, 'nativeVectorWidthLong': 1, 'nativeVectorWidthFloat': 1, 'nativeVectorWidthDouble': 1, 'nativeVectorWidthHalf': 1, 'maxClockFrequencyMhz': 2359, 'addressBits': 64, 'maxMemAllocSize': '7287183769', 'imageSupport': True, 'maxReadImageArgs': 128, 'maxWriteImageArgs': 64, 'maxReadWriteImageArgs': 64, 'image2dMaxWidth': '16384', 'image2dMaxHeight': '16384', 'image3dMaxWidth': '2048', 'image3dMaxHeight': '2048', 'image3dMaxDepth': '2048', 'imageMaxBufferSize': '455448985', 'imageMaxArraySize': '2048', 'maxSamplers': 16, 'imagePitchAlignment': 256, 'imageBaseAddressAlignment': 256, 'maxPipeArgs': 16, 'pipeMaxActiveReservations': 16, 'maxParameterSize': '1024', 'memBaseAddrAlign': 2048, 'singleFpConfig': ['Denorm', 'InfNan', 'RoundToNearest', 'RoundToZero', 'RoundToInf', 'FusedMultiplyAdd', 'CorrectlyRoundedDivideSqrt'], 'doubleFpConfig': ['Denorm', 'InfNan', 'RoundToNearest', 'RoundToZero', 'RoundToInf', 'FusedMultiplyAdd'], 'globalMemCacheType': 'ReadWrite', 'globalMemCachelineSize': 64, 'globalMemCacheSize': '16384', 'maxConstantBufferSize': '7287183769', 'maxConstantArgs': 8, 'maxGlobalVariableSize': '6558465280', 'globalVariablePreferredTotalSize': '8573157376', 'localMemType': 'Local', 'localMemSize': '65536', 'profilingTimerResolutionNs': '1', 'endianLittle': True, 'available': True, 'compilerAvailable': True, 'linkerAvailable': True, 'executionCapability': ['Kernel'], 'queueOnHostProperty': ['ProfilingEnable'], 'queueOnDeviceProperty': ['OutOfOrderExecModeEnable', 'ProfilingEnable'], 'queueOnDevicePreferredSize': 262144, 'queueOnDeviceMaxSize': 8388608, 'maxOnDeviceQueues': 1, 'maxOnDeviceEvents': 1024, 'name': 'gfx1032', 'vendor': 'Advanced Micro Devices, Inc.', 'driverVersion': '3444.0 (PAL,LC)', 'profile': 'FULL_PROFILE', 'version': 'OpenCL 2.0 AMD-APP (3444.0)', 'openclCVersion': 'OpenCL C 2.0 ', 'extension': ['cl_khr_fp64', 'cl_khr_global_int32_base_atomics', 'cl_khr_global_int32_extended_atomics', 'cl_khr_local_int32_base_atomics', 'cl_khr_local_int32_extended_atomics', 'cl_khr_int64_base_atomics', 'cl_khr_int64_extended_atomics', 'cl_khr_3d_image_writes', 'cl_khr_byte_addressable_store', 'cl_khr_fp16', 'cl_khr_gl_sharing', 'cl_amd_device_attribute_query', 'cl_amd_media_ops', 'cl_amd_media_ops2', 'cl_khr_d3d10_sharing', 'cl_khr_d3d11_sharing', 'cl_khr_dx9_media_sharing', 'cl_khr_image2d_from_buffer', 'cl_khr_subgroups', 'cl_khr_gl_event', 'cl_khr_depth_images', 'cl_khr_mipmap_image', 'cl_khr_mipmap_image_writes', 'cl_amd_liquid_flash', 'cl_amd_copy_buffer_p2p', 'cl_amd_planar_yuv'], 'printfBufferSize': '4194304', 'preferredInteropUserSync': True, 'partitionMaxSubDevices': 16, 'svmCapability': ['CoarseGrainBuffer', 'FineGrainBuffer'], 'globalMemSize': '8573157376', 'platformName': 'OpenCL: AMD Accelerated Parallel Processing', 'platformId': {}}]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Obtaining largest experimental device
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Max VRAM: 8176
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU IDX: 0
12/05/2022 23:22:10 MainProcess MainThread _base _log INFO Setting GPU to largest available experimental device. If you want to override this selection, run `plaidml-setup` from the command line.
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU Device count: 1
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Active GPU Devices: [0]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG AMD GPU Handles found: [<plaidml._DeviceConfig object at 0x00000191EB25DD90>]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU Drivers: 3444.0 (PAL,LC)
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU Devices: ['Advanced Micro Devices, Inc. - gfx1032 (experimental)']
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU VRAM: [8176]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU VRAM free: [8176]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Initialized AMDStats
12/05/2022 23:22:10 MainProcess MainThread launcher _configure_backend DEBUG Executing: extract. PID: 3448
12/05/2022 23:22:10 MainProcess MainThread launcher _setup_amd DEBUG Setting up for AMD
12/05/2022 23:22:10 MainProcess MainThread amd setup_plaidml INFO Setting up for PlaidML
12/05/2022 23:22:10 MainProcess MainThread amd setup_plaidml VERBOSE Setting Keras Backend to PlaidML
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Initializing AMDStats
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Initializing PlaidML for AMD GPU.
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Obtained supported devices: []
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Obtained experimental Devices: [<plaidml._DeviceConfig object at 0x00000191EB26B070>]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Obtained all Devices: [<plaidml._DeviceConfig object at 0x00000191EB26B070>]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Obtained Device details: [{'@type': 'type.googleapis.com/vertexai.tile.hal.opencl.proto.DeviceInfo', 'type': 'GPU', 'vendorId': 4098, 'maxComputeUnits': 16, 'workItemDimensionSize': ['1024', '1024', '1024'], 'maxWorkGroupSize': '256', 'preferredVectorWidthChar': 4, 'preferredVectorWidthShort': 2, 'preferredVectorWidthInt': 1, 'preferredVectorWidthLong': 1, 'preferredVectorWidthFloat': 1, 'preferredVectorWidthDouble': 1, 'preferredVectorWidthHalf': 1, 'nativeVectorWidthChar': 4, 'nativeVectorWidthShort': 2, 'nativeVectorWidthInt': 1, 'nativeVectorWidthLong': 1, 'nativeVectorWidthFloat': 1, 'nativeVectorWidthDouble': 1, 'nativeVectorWidthHalf': 1, 'maxClockFrequencyMhz': 2359, 'addressBits': 64, 'maxMemAllocSize': '7287183769', 'imageSupport': True, 'maxReadImageArgs': 128, 'maxWriteImageArgs': 64, 'maxReadWriteImageArgs': 64, 'image2dMaxWidth': '16384', 'image2dMaxHeight': '16384', 'image3dMaxWidth': '2048', 'image3dMaxHeight': '2048', 'image3dMaxDepth': '2048', 'imageMaxBufferSize': '455448985', 'imageMaxArraySize': '2048', 'maxSamplers': 16, 'imagePitchAlignment': 256, 'imageBaseAddressAlignment': 256, 'maxPipeArgs': 16, 'pipeMaxActiveReservations': 16, 'maxParameterSize': '1024', 'memBaseAddrAlign': 2048, 'singleFpConfig': ['Denorm', 'InfNan', 'RoundToNearest', 'RoundToZero', 'RoundToInf', 'FusedMultiplyAdd', 'CorrectlyRoundedDivideSqrt'], 'doubleFpConfig': ['Denorm', 'InfNan', 'RoundToNearest', 'RoundToZero', 'RoundToInf', 'FusedMultiplyAdd'], 'globalMemCacheType': 'ReadWrite', 'globalMemCachelineSize': 64, 'globalMemCacheSize': '16384', 'maxConstantBufferSize': '7287183769', 'maxConstantArgs': 8, 'maxGlobalVariableSize': '6558465280', 'globalVariablePreferredTotalSize': '8573157376', 'localMemType': 'Local', 'localMemSize': '65536', 'profilingTimerResolutionNs': '1', 'endianLittle': True, 'available': True, 'compilerAvailable': True, 'linkerAvailable': True, 'executionCapability': ['Kernel'], 'queueOnHostProperty': ['ProfilingEnable'], 'queueOnDeviceProperty': ['OutOfOrderExecModeEnable', 'ProfilingEnable'], 'queueOnDevicePreferredSize': 262144, 'queueOnDeviceMaxSize': 8388608, 'maxOnDeviceQueues': 1, 'maxOnDeviceEvents': 1024, 'name': 'gfx1032', 'vendor': 'Advanced Micro Devices, Inc.', 'driverVersion': '3444.0 (PAL,LC)', 'profile': 'FULL_PROFILE', 'version': 'OpenCL 2.0 AMD-APP (3444.0)', 'openclCVersion': 'OpenCL C 2.0 ', 'extension': ['cl_khr_fp64', 'cl_khr_global_int32_base_atomics', 'cl_khr_global_int32_extended_atomics', 'cl_khr_local_int32_base_atomics', 'cl_khr_local_int32_extended_atomics', 'cl_khr_int64_base_atomics', 'cl_khr_int64_extended_atomics', 'cl_khr_3d_image_writes', 'cl_khr_byte_addressable_store', 'cl_khr_fp16', 'cl_khr_gl_sharing', 'cl_amd_device_attribute_query', 'cl_amd_media_ops', 'cl_amd_media_ops2', 'cl_khr_d3d10_sharing', 'cl_khr_d3d11_sharing', 'cl_khr_dx9_media_sharing', 'cl_khr_image2d_from_buffer', 'cl_khr_subgroups', 'cl_khr_gl_event', 'cl_khr_depth_images', 'cl_khr_mipmap_image', 'cl_khr_mipmap_image_writes', 'cl_amd_liquid_flash', 'cl_amd_copy_buffer_p2p', 'cl_amd_planar_yuv'], 'printfBufferSize': '4194304', 'preferredInteropUserSync': True, 'partitionMaxSubDevices': 16, 'svmCapability': ['CoarseGrainBuffer', 'FineGrainBuffer'], 'globalMemSize': '8573157376', 'platformName': 'OpenCL: AMD Accelerated Parallel Processing', 'platformId': {}}]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Obtaining largest experimental device
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Max VRAM: 8176
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU IDX: 0
12/05/2022 23:22:10 MainProcess MainThread _base _log INFO Setting GPU to largest available experimental device. If you want to override this selection, run `plaidml-setup` from the command line.
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU Device count: 1
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Active GPU Devices: [0]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG AMD GPU Handles found: [<plaidml._DeviceConfig object at 0x00000191EB26B070>]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU Drivers: 3444.0 (PAL,LC)
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU Devices: ['Advanced Micro Devices, Inc. - gfx1032 (experimental)']
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU VRAM: [8176]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG GPU VRAM free: [8176]
12/05/2022 23:22:10 MainProcess MainThread _base _log DEBUG Initialized AMDStats
12/05/2022 23:22:10 MainProcess MainThread amd setup_plaidml INFO Using GPU(s): ['Advanced Micro Devices, Inc. - gfx1032 (experimental)']
12/05/2022 23:22:10 MainProcess MainThread amd setup_plaidml INFO Successfully set up for PlaidML
12/05/2022 23:22:10 MainProcess MainThread launcher _setup_amd DEBUG setup up for PlaidML
12/05/2022 23:22:11 MainProcess MainThread tpu_cluster_resolver <module> DEBUG Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
12/05/2022 23:22:12 MainProcess MainThread launcher _test_for_tf_version DEBUG Installed Tensorflow Version: 2.2
12/05/2022 23:22:12 MainProcess MainThread queue_manager __init__ DEBUG Initializing _QueueManager
12/05/2022 23:22:12 MainProcess MainThread queue_manager __init__ DEBUG Initialized _QueueManager
12/05/2022 23:22:12 MainProcess MainThread extract __init__ DEBUG Initializing Extract: (args: Namespace(aligner='fan', alignments_path=None, batch_mode=False, colab=False, configfile=None, debug_landmarks=False, detector='s3fd', exclude_gpus=None, extract_every_n=1, filter=None, func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x00000191E34F04C0>>, identity=False, input_dir='C:\\fotos\\eu.mp4', logfile=None, loglevel='INFO', masker=None, min_size=0, nfilter=None, normalization='none', output_dir='E:\\faceswap\\eu', re_align=False, re_feed=0, redirect_gui=True, ref_threshold=0.6, rotate_images=None, save_interval=0, singleprocess=False, size=512, skip_existing=False, skip_faces=False, skip_saving_faces=False)
12/05/2022 23:22:12 MainProcess MainThread pipeline __init__ DEBUG Initializing Extractor: (detector: s3fd, aligner: fan, masker: ['components', 'extended'], recognition: None, configfile: None, multiprocess: True, exclude_gpus: None, rotate_images: None, min_size: 0, normalize_method: None, re_feed: 0, re_align: False, disable_filter: False)
12/05/2022 23:22:12 MainProcess MainThread pipeline _set_flow DEBUG detector: s3fd, aligner: fan, masker: ['components', 'extended'] recognition: None
12/05/2022 23:22:12 MainProcess MainThread pipeline _set_flow DEBUG flow: ['detect', 'align', 'mask_0', 'mask_1']
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Initializing AMDStats
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Initializing PlaidML for AMD GPU.
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Obtained supported devices: []
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Obtained experimental Devices: [<plaidml._DeviceConfig object at 0x00000191F6D54AF0>]
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Obtained all Devices: [<plaidml._DeviceConfig object at 0x00000191F6D54AF0>]
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Obtained Device details: [{'@type': 'type.googleapis.com/vertexai.tile.hal.opencl.proto.DeviceInfo', 'type': 'GPU', 'vendorId': 4098, 'maxComputeUnits': 16, 'workItemDimensionSize': ['1024', '1024', '1024'], 'maxWorkGroupSize': '256', 'preferredVectorWidthChar': 4, 'preferredVectorWidthShort': 2, 'preferredVectorWidthInt': 1, 'preferredVectorWidthLong': 1, 'preferredVectorWidthFloat': 1, 'preferredVectorWidthDouble': 1, 'preferredVectorWidthHalf': 1, 'nativeVectorWidthChar': 4, 'nativeVectorWidthShort': 2, 'nativeVectorWidthInt': 1, 'nativeVectorWidthLong': 1, 'nativeVectorWidthFloat': 1, 'nativeVectorWidthDouble': 1, 'nativeVectorWidthHalf': 1, 'maxClockFrequencyMhz': 2359, 'addressBits': 64, 'maxMemAllocSize': '7287183769', 'imageSupport': True, 'maxReadImageArgs': 128, 'maxWriteImageArgs': 64, 'maxReadWriteImageArgs': 64, 'image2dMaxWidth': '16384', 'image2dMaxHeight': '16384', 'image3dMaxWidth': '2048', 'image3dMaxHeight': '2048', 'image3dMaxDepth': '2048', 'imageMaxBufferSize': '455448985', 'imageMaxArraySize': '2048', 'maxSamplers': 16, 'imagePitchAlignment': 256, 'imageBaseAddressAlignment': 256, 'maxPipeArgs': 16, 'pipeMaxActiveReservations': 16, 'maxParameterSize': '1024', 'memBaseAddrAlign': 2048, 'singleFpConfig': ['Denorm', 'InfNan', 'RoundToNearest', 'RoundToZero', 'RoundToInf', 'FusedMultiplyAdd', 'CorrectlyRoundedDivideSqrt'], 'doubleFpConfig': ['Denorm', 'InfNan', 'RoundToNearest', 'RoundToZero', 'RoundToInf', 'FusedMultiplyAdd'], 'globalMemCacheType': 'ReadWrite', 'globalMemCachelineSize': 64, 'globalMemCacheSize': '16384', 'maxConstantBufferSize': '7287183769', 'maxConstantArgs': 8, 'maxGlobalVariableSize': '6558465280', 'globalVariablePreferredTotalSize': '8573157376', 'localMemType': 'Local', 'localMemSize': '65536', 'profilingTimerResolutionNs': '1', 'endianLittle': True, 'available': True, 'compilerAvailable': True, 'linkerAvailable': True, 'executionCapability': ['Kernel'], 'queueOnHostProperty': ['ProfilingEnable'], 'queueOnDeviceProperty': ['OutOfOrderExecModeEnable', 'ProfilingEnable'], 'queueOnDevicePreferredSize': 262144, 'queueOnDeviceMaxSize': 8388608, 'maxOnDeviceQueues': 1, 'maxOnDeviceEvents': 1024, 'name': 'gfx1032', 'vendor': 'Advanced Micro Devices, Inc.', 'driverVersion': '3444.0 (PAL,LC)', 'profile': 'FULL_PROFILE', 'version': 'OpenCL 2.0 AMD-APP (3444.0)', 'openclCVersion': 'OpenCL C 2.0 ', 'extension': ['cl_khr_fp64', 'cl_khr_global_int32_base_atomics', 'cl_khr_global_int32_extended_atomics', 'cl_khr_local_int32_base_atomics', 'cl_khr_local_int32_extended_atomics', 'cl_khr_int64_base_atomics', 'cl_khr_int64_extended_atomics', 'cl_khr_3d_image_writes', 'cl_khr_byte_addressable_store', 'cl_khr_fp16', 'cl_khr_gl_sharing', 'cl_amd_device_attribute_query', 'cl_amd_media_ops', 'cl_amd_media_ops2', 'cl_khr_d3d10_sharing', 'cl_khr_d3d11_sharing', 'cl_khr_dx9_media_sharing', 'cl_khr_image2d_from_buffer', 'cl_khr_subgroups', 'cl_khr_gl_event', 'cl_khr_depth_images', 'cl_khr_mipmap_image', 'cl_khr_mipmap_image_writes', 'cl_amd_liquid_flash', 'cl_amd_copy_buffer_p2p', 'cl_amd_planar_yuv'], 'printfBufferSize': '4194304', 'preferredInteropUserSync': True, 'partitionMaxSubDevices': 16, 'svmCapability': ['CoarseGrainBuffer', 'FineGrainBuffer'], 'globalMemSize': '8573157376', 'platformName': 'OpenCL: AMD Accelerated Parallel Processing', 'platformId': {}}]
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Obtaining largest experimental device
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Max VRAM: 8176
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG GPU IDX: 0
12/05/2022 23:22:12 MainProcess MainThread _base _log INFO Setting GPU to largest available experimental device. If you want to override this selection, run `plaidml-setup` from the command line.
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG GPU Device count: 1
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Active GPU Devices: [0]
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG AMD GPU Handles found: [<plaidml._DeviceConfig object at 0x00000191F6D54AF0>]
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG GPU Drivers: 3444.0 (PAL,LC)
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG GPU Devices: ['Advanced Micro Devices, Inc. - gfx1032 (experimental)']
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG GPU VRAM: [8176]
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG GPU VRAM free: [8176]
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Initialized AMDStats
12/05/2022 23:22:12 MainProcess MainThread _base _log DEBUG Active GPU Card with most free VRAM: {'card_id': 0, 'device': 'Advanced Micro Devices, Inc. - gfx1032 (experimental)', 'free': 8176, 'total': 8176}
12/05/2022 23:22:12 MainProcess MainThread pipeline _get_vram_stats DEBUG {'count': 1, 'device': 'Advanced Micro Devices, Inc. - gfx1032 (experimental)', 'vram_free': 7920, 'vram_total': 8176}
12/05/2022 23:22:12 MainProcess MainThread pipeline _load_detect DEBUG Loading Detector: 's3fd'
12/05/2022 23:22:12 MainProcess MainThread plugin_loader _import INFO Loading Detect from S3Fd plugin...
Traceback (most recent call last):
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\keras\backend\__init__.py", line 93, in <module>
backend_module = importlib.import_module(_BACKEND)
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1014, in _gcd_import
File "<frozen importlib._bootstrap>", line 991, in _find_and_load
File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 843, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\plaidml\keras\backend.py", line 33, in <module>
import scipy.stats
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\scipy\stats\__init__.py", line 467, in <module>
from ._stats_py import *
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\scipy\stats\_stats_py.py", line 46, in <module>
from . import distributions
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\scipy\stats\distributions.py", line 11, in <module>
from . import _discrete_distns
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\scipy\stats\_discrete_distns.py", line 21, in <module>
from ._biasedurn import (_PyFishersNCHypergeometric,
File "_biasedurn.pyx", line 1, in init scipy.stats._biasedurn
ModuleNotFoundError: No module named 'numpy.random.bit_generator'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\fmKnob\faceswap\lib\cli\launcher.py", line 216, in execute_script
process = script(arguments)
File "C:\Users\fmKnob\faceswap\scripts\extract.py", line 60, in __init__
self._extractor = Extractor(self._args.detector,
File "C:\Users\fmKnob\faceswap\plugins\extract\pipeline.py", line 136, in __init__
self._detect = self._load_detect(detector, rotate_images, min_size, configfile)
File "C:\Users\fmKnob\faceswap\plugins\extract\pipeline.py", line 638, in _load_detect
plugin = PluginLoader.get_detector(detector_name)(exclude_gpus=self._exclude_gpus,
File "C:\Users\fmKnob\faceswap\plugins\plugin_loader.py", line 55, in get_detector
return PluginLoader._import("extract.detect", name, disable_logging)
File "C:\Users\fmKnob\faceswap\plugins\plugin_loader.py", line 197, in _import
module = import_module(mod)
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1014, in _gcd_import
File "<frozen importlib._bootstrap>", line 991, in _find_and_load
File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 843, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "C:\Users\fmKnob\faceswap\plugins\extract\detect\s3fd.py", line 14, in <module>
from lib.model.session import KSession
File "C:\Users\fmKnob\faceswap\lib\model\__init__.py", line 6, in <module>
from .normalization import (AdaInstanceNormalization, GroupNormalization, # noqa
File "C:\Users\fmKnob\faceswap\lib\model\normalization\__init__.py", line 5, in <module>
from .normalization_common import AdaInstanceNormalization # noqa
File "C:\Users\fmKnob\faceswap\lib\model\normalization\normalization_common.py", line 10, in <module>
from keras.utils import get_custom_objects # pylint:disable=no-name-in-module
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\keras\__init__.py", line 3, in <module>
from . import utils
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\keras\utils\__init__.py", line 6, in <module>
from . import conv_utils
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\keras\utils\conv_utils.py", line 9, in <module>
from .. import backend as K
File "C:\Users\fmKnob\MiniConda3\envs\faceswap\lib\site-packages\keras\backend\__init__.py", line 108, in <module>
raise ValueError('Unable to import backend : ' + str(_BACKEND))
ValueError: Unable to import backend : plaidml.keras.backend
============ System Information ============
encoding: cp1252
git_branch: Not Found
git_commits: Not Found
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. - gfx1032 (experimental)
gpu_devices_active: GPU_0
gpu_driver: 3444.0 (PAL,LC)
gpu_vram: GPU_0: 8176MB
os_machine: AMD64
os_platform: Windows-10-10.0.19044-SP0
os_release: 10
py_command: C:\Users\fmKnob\faceswap\faceswap.py extract -i C:/fotos/eu.mp4 -o E:/faceswap/eu -D s3fd -A fan -nm none -rf 0 -min 0 -l 0.6 -sz 512 -een 1 -si 0 -L INFO -gui
py_conda_version: conda 22.11.0
py_implementation: CPython
py_version: 3.8.15
py_virtual_env: True
sys_cores: 12
sys_processor: AMD64 Family 25 Model 33 Stepping 0, AuthenticAMD
sys_ram: Total: 16312MB, Available: 9562MB, Used: 6750MB, Free: 9562MB
=============== Pip Packages ===============
absl-py @ file:///C:/b/abs_5babsu7y5x/croot/absl-py_1666362945682/work
astunparse==1.6.3
cachetools==4.2.4
certifi @ file:///C:/b/abs_ac29jvt43w/croot/certifi_1665076682579/work/certifi
cffi==1.15.1
charset-normalizer==2.1.1
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1632508026186/work
colorama @ file:///C:/Windows/TEMP/abs_9439aeb1-0254-449a-96f7-33ab5eb17fc8apleb4yn/croots/recipe/colorama_1657009099097/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work
dm-tree==0.1.5
enum34==1.1.10
fastcluster @ file:///D:/bld/fastcluster_1646149187286/work
ffmpy==0.3.0
flit_core @ file:///opt/conda/conda-bld/flit-core_1644941570762/work/source/flit_core
fonttools==4.25.0
gast==0.3.3
google-auth==1.35.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.51.1
h5py==2.10.0
idna==3.4
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
importlib-metadata==5.1.0
joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1663332044897/work
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1653292408254/work
Markdown==3.4.1
MarkupSafe==2.1.1
matplotlib @ file:///C:/b/abs_ae02atcfur/croot/matplotlib-suite_1667356722968/work
mkl-fft==1.3.1
mkl-random @ file:///C:/ci/mkl_random_1626186184278/work
mkl-service==2.4.0
munkres==1.1.4
numexpr @ file:///C:/b/abs_a7kbak88hk/croot/numexpr_1668713882979/work
numpy==1.18.5
nvidia-ml-py==11.515.75
oauthlib==3.2.2
opencv-python==4.6.0.66
opt-einsum==3.3.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
Pillow==9.2.0
plaidml==0.7.0
plaidml-keras==0.7.0
ply==3.11
protobuf==3.19.1
psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.21
pyparsing @ file:///C:/Users/BUILDE~1/AppData/Local/Temp/abs_7f_7lba6rl/croots/recipe/pyparsing_1661452540662/work
PyQt5==5.15.7
PyQt5-sip @ file:///C:/Windows/Temp/abs_d7gmd2jg8i/croots/recipe/pyqt-split_1659273064801/work/pyqt_sip
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==305.1
pywinpty @ file:///C:/ci_310/pywinpty_1644230983541/work/target/wheels/pywinpty-2.0.2-cp38-none-win_amd64.whl
PyYAML==6.0
requests==2.28.1
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///C:/ci/scikit-learn_1642599125707/work
scipy==1.9.3
sip @ file:///C:/Windows/Temp/abs_b8fxd17m2u/croots/recipe/sip_1659012372737/work
six @ file:///tmp/build/80754af9/six_1644875935023/work
tensorboard==2.2.2
tensorboard-plugin-wit==1.8.1
tensorflow==2.2.3
tensorflow-estimator==2.2.0
tensorflow-probability @ file:///tmp/build/80754af9/tensorflow-probability_1633017132682/work
termcolor==2.1.1
threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
tornado @ file:///C:/ci/tornado_1662476991259/work
tqdm @ file:///C:/b/abs_0axbz66qik/croots/recipe/tqdm_1664392691071/work
typing_extensions @ file:///C:/b/abs_89eui86zuq/croot/typing_extensions_1669923792806/work
urllib3==1.26.13
Werkzeug==2.2.2
wincertstore==0.2
wrapt==1.14.1
zipp==3.11.0
============== Conda Packages ==============
# packages in environment at C:\Users\fmKnob\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 1.3.0 py38haa95532_0
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
ca-certificates 2022.10.11 haa95532_0
cachetools 4.2.4 pypi_0 pypi
certifi 2022.9.24 py38haa95532_0
cffi 1.15.1 pypi_0 pypi
charset-normalizer 2.1.1 pypi_0 pypi
cloudpickle 2.0.0 pyhd3eb1b0_0
colorama 0.4.5 py38haa95532_0
cycler 0.11.0 pyhd3eb1b0_0
decorator 5.1.1 pyhd3eb1b0_0
dm-tree 0.1.5 py38hf11a4ad_0
enum34 1.1.10 pypi_0 pypi
fastcluster 1.2.6 py38h5d928e2_0 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.3.0 pypi_0 pypi
fftw 3.3.10 nompi_h52fa85e_103 conda-forge
flit-core 3.6.0 pyhd3eb1b0_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 ha860e81_0
gast 0.3.3 pypi_0 pypi
git 2.34.1 haa95532_0
glib 2.69.1 h5dc1a3c_2
google-auth 1.35.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.51.1 pypi_0 pypi
gst-plugins-base 1.18.5 h9e645db_0
gstreamer 1.18.5 hd78058f_0
h5py 2.10.0 pypi_0 pypi
icc_rt 2022.1.0 h6049295_2
icu 58.2 ha925a31_3
idna 3.4 pypi_0 pypi
imageio 2.19.3 py38haa95532_0
imageio-ffmpeg 0.4.7 pyhd8ed1ab_0 conda-forge
importlib-metadata 5.1.0 pypi_0 pypi
intel-openmp 2021.4.0 haa95532_3556
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h2bbff1b_0
keras 2.2.4 pypi_0 pypi
keras-applications 1.0.8 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.2 py38hd77b12b_0
lerc 3.0 hd77b12b_0
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libclang 12.0.0 default_h627e005_2
libdeflate 1.8 h2bbff1b_5
libffi 3.4.2 hd77b12b_6
libiconv 1.16 h2bbff1b_2
libogg 1.3.5 h2bbff1b_1
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.19.1 h23ce68f_0
libtiff 4.4.0 h8a3f274_2
libvorbis 1.3.7 he774522_0
libwebp 1.2.4 h2bbff1b_0
libwebp-base 1.2.4 h2bbff1b_0
libxml2 2.9.14 h0ad7f3c_0
libxslt 1.1.35 h2bbff1b_0
lz4-c 1.9.3 h2bbff1b_1
markdown 3.4.1 pypi_0 pypi
markupsafe 2.1.1 pypi_0 pypi
matplotlib 3.5.3 py38haa95532_0
matplotlib-base 3.5.3 py38hd77b12b_0
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
munkres 1.1.4 py_0
numexpr 2.8.4 py38h5b0cc5e_0
numpy 1.18.5 pypi_0 pypi
nvidia-ml-py 11.515.75 pypi_0 pypi
oauthlib 3.2.2 pypi_0 pypi
opencv-python 4.6.0.66 pypi_0 pypi
openssl 1.1.1s h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 21.3 pyhd3eb1b0_0
pcre 8.45 hd77b12b_0
pillow 9.2.0 py38hdc2b20a_1
pip 22.2.2 py38haa95532_0
plaidml 0.7.0 pypi_0 pypi
plaidml-keras 0.7.0 pypi_0 pypi
ply 3.11 py38_0
protobuf 3.19.1 py38hd77b12b_0
psutil 5.9.0 py38h2bbff1b_0
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycparser 2.21 pypi_0 pypi
pyparsing 3.0.9 py38haa95532_0
pyqt 5.15.7 py38hd77b12b_0
pyqt5-sip 12.11.0 py38hd77b12b_0
python 3.8.15 h6244533_2
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.8 2_cp38 conda-forge
pywin32 305 py38h2bbff1b_0
pywinpty 2.0.2 py38h5da7b33_0
pyyaml 6.0 pypi_0 pypi
qt-main 5.15.2 he8e5bd7_7
qt-webengine 5.15.9 hb9a9bb5_4
qtwebkit 5.212 h3ad3cdb_4
requests 2.28.1 pypi_0 pypi
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-learn 1.0.2 py38hf11a4ad_1
scipy 1.9.3 py38he11b74f_0
setuptools 65.5.0 py38haa95532_0
sip 6.6.2 py38hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.40.0 h2bbff1b_0
tensorboard 2.2.2 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow 2.2.3 pypi_0 pypi
tensorflow-estimator 2.2.0 pypi_0 pypi
tensorflow-probability 0.14.0 pyhd3eb1b0_0
termcolor 2.1.1 pypi_0 pypi
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tk 8.6.12 h2bbff1b_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.2 py38h2bbff1b_0
tqdm 4.64.1 py38haa95532_0
typing-extensions 4.4.0 py38haa95532_0
typing_extensions 4.4.0 py38haa95532_0
urllib3 1.26.13 pypi_0 pypi
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.2.2 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0
wincertstore 0.2 py38haa95532_2
winpty 0.4.3 4
wrapt 1.14.1 pypi_0 pypi
xz 5.2.8 h8cc25b3_0
zipp 3.11.0 pypi_0 pypi
zlib 1.2.13 h8cc25b3_0
zstd 1.5.2 h19a0ad4_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.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
aligner_features: True
filter_refeed: True
save_filtered: False
realign_refeeds: True
filter_realign: True
[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