plugins/extract/extract_config.py - master - githubmirror/faceswap

plugins/extract/extract_config.py
163 строки6 KB
torzdf
Extraction Overhaul (#1533)
21 мар 2026, 02:52
21 мар 2026, 02:52d217812
#!/usr/bin/env python3
""" Default configurations for extract """

import gettext
import logging
import os

from lib.config import FaceswapConfig
from lib.config import ConfigItem

# LOCALES
_LANG = gettext.translation("plugins.extract.extract_config", localedir="locales", fallback=True)
_ = _LANG.gettext

logger = logging.getLogger(__name__)


class _Config(FaceswapConfig):
    """ Config File for Extraction """

    def set_defaults(self, helptext="") -> None:
        """ Set the default values for config """
        super().set_defaults(helptext=_("Options that apply to all extraction plugins"))
        self._defaults_from_plugin(os.path.dirname(__file__))


aligner_min_scale = ConfigItem(
    datatype=float,
    default=0.03,
    group=_("align"),
    info=_(
        "Filters out faces below this size. This is a multiplier of the minimum dimension of the "
        "frame (i.e. 1280x720 = 720). If the original face extract box is smaller than the "
        "minimum dimension times this multiplier, it is considered a false positive and "
        "discarded. Faces which are found to be unusually smaller than the frame tend to be "
        "misaligned images, except in extreme long-shots. These can be usually be safely "
        "discarded."),
    min_max=(0.0, 1.0),
    rounding=2)

aligner_max_scale = ConfigItem(
    datatype=float,
    default=4.00,
    group=_("align"),
    info=_(
        "Filters out faces above this size. This is a multiplier of the minimum dimension of the "
        "frame (i.e. 1280x720 = 720). If the original face extract box is larger than the minimum "
        "dimension times this multiplier, it is considered a false positive and discarded. Faces "
        "which are found to be unusually larger than the frame tend to be misaligned images "
        "except in extreme close-ups. These can be usually be safely discarded."),
    min_max=(0.0, 10.0),
    rounding=2)

aligner_distance = ConfigItem(
    datatype=float,
    default=40.0,
    group=_("align"),
    info=_(
        "Filters out faces who's landmarks are above this distance from an 'average' face. Values "
        "above 15 tend to be fairly safe. Values above 10 will remove more false positives, but "
        "may also filter out some faces at extreme angles."),
    min_max=(0.0, 45.0),
    rounding=1)

aligner_roll = ConfigItem(
    datatype=float,
    default=0.0,
    group=_("align"),
    info=_(
        "Filters out faces who's calculated roll is greater than zero +/- this value in degrees. "
        "Aligned faces should have a roll value close to zero. Values that are a significant "
        "distance from 0 degrees tend to be misaligned images. These can usually be safely "
        "discarded."),
    min_max=(0.0, 90.0),
    rounding=1)

aligner_features = ConfigItem(
    datatype=bool,
    default=True,
    group=_("align"),
    info=_(
        "Filters out faces where the lowest point of the aligned face's eye or eyebrow is lower "
        "than the highest point of the aligned face's mouth. Any faces where this occurs are "
        "misaligned and can be safely discarded."))

mask_storage_size = ConfigItem(
    datatype=int,
    default=128,
    group=_("mask"),
    info=_("The size to store masks at. Set to 0 to store at the mask model's output size."),
    min_max=(0, 1028),
    rounding=64)

profile_warmup_time = ConfigItem(
    datatype=int,
    default=2,
    group=_("profile"),
    info=_("The number of seconds to warmup the model for at each batch size. Higher times will "
           "take longer but will collect better data."),
    min_max=(1, 10),
    rounding=1)

profile_test_time = ConfigItem(
    datatype=int,
    default=10,
    group=_("profile"),
    info=_("The number of seconds to profile the pipeline for at each batch size. Higher times "
           "will take longer but will collect better data."),
    min_max=(8, 30),
    rounding=2)

profile_num_faces = ConfigItem(
    datatype=int,
    default=2,
    group=_("profile"),
    info=_("The average number of faces expected to be detected in each frame. Throughput of "
           "detector plugins are dictated by 1 image = 1 sample, however throughput of downstream "
           "plugins (align, mask etc) is dependant on how many faces are expected to be seen in "
           "each frame. This will vary from source to source. Setting this correctly will lead to "
           "better optimization."),
    min_max=(1, 10),
    rounding=1)

profile_max_vram = ConfigItem(
    datatype=int,
    default=85,
    group=_("profile"),
    info=_("The maximum amount of total GPU VRAM to allow Cuda to reserve when searching for "
           "optimal batch sizes. The closer to 100% the more risk of Out of Memory errors whilst "
           r"extracting. Anything 90% (85% if compiling) or below should be relatively safe for "
           "dedicated use, or set the value lower if you wish to keep VRAM free for other "
           "applications."),
    min_max=(25, 95),
    rounding=1)

profile_save_config = ConfigItem(
    datatype=bool,
    default=False,
    group=_("profile"),
    info=_("Whether to save the discovered plugin batch sizes to Faceswap's config for future "
           "use."))


# pylint:disable=duplicate-code
_CONFIG: _Config | None = None


def load_config(config_file: str | None = None) -> _Config:
    """ Load the Extraction configuration .ini file

    Parameters
    ----------
    Path to a custom .ini configuration file to load. Default: ``None`` (use default configuration
    file)

    Returns
    -------
    The loaded convert config object
    """
    global _CONFIG  # pylint:disable=global-statement
    if _CONFIG is None:
        _CONFIG = _Config(config_file=config_file)
    return _CONFIG