mirror of
https://github.com/deepfakes/faceswap
synced 2025-06-08 20:13:52 -04:00
27a685383e
* Separate predict and implement pool * Add check and raise error to multithreading Box functions to config. Add crop box option. * All masks to mask module. Refactor convert masks Predicted mask passed from model. Cli update * Intesect box with mask and fixes * Use raw NN output for convert Use raw mask for face adjustments. Split adjustments to pre and post warp * Separate out adjustments. Add unmask sharpen * Set sensible defaults. Pre PR Testing * Fix queue sizes. Move masked.py to lib * Fix Skip Frames. Fix GUI Config popup * Sensible queue limits. Add a less resource intensive single processing mode * Fix predicted mask. Amend smooth box defaults * Deterministic ordering for video output * Video to Video convert implemented * Fixups - Remove defaults from folders across all stages - Move match-hist and aca into color adjustments selectable - Handle crashes properly for pooled processes - Fix output directory does not exist error when creating a new output folder - Force output to frames if input is not a video * Add Color Transfer adjustment method Wrap info text in GUI plugin configure popup * Refactor image adjustments. Easier to create plugins Start implementing config options for video encoding * Add video encoding config options Allow video encoding for frames input (must pass in a reference video) Move video and image output writers to plugins * Image writers config options Move scaling to cli Move draw_transparent to images config Add config options for cv2 writer Add Pillow image writer * Add gif filetype to Pillow. Fix draw transparent for Pillow * Add Animated GIF writer standardize opencv/pillow defaults * [speedup] Pre-encode supported writers in the convert pool (opencv, pillow) Move scaling to convert pool Remove dfaker mask * Fix default writer * Bugfixes * Better custom argparse formatting
90 lines
3.4 KiB
Python
90 lines
3.4 KiB
Python
#!/usr/bin/env python3
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""" Plugin loader for extract, training and model tasks """
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import logging
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import os
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from importlib import import_module
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logger = logging.getLogger(__name__) # pylint: disable=invalid-name
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class PluginLoader():
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""" Plugin loader for extract, training and model tasks """
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@staticmethod
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def get_detector(name):
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""" Return requested detector plugin """
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return PluginLoader._import("extract.detect", name)
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@staticmethod
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def get_aligner(name):
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""" Return requested detector plugin """
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return PluginLoader._import("extract.align", name)
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@staticmethod
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def get_model(name):
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""" Return requested model plugin """
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return PluginLoader._import("train.model", name)
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@staticmethod
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def get_trainer(name):
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""" Return requested trainer plugin """
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return PluginLoader._import("train.trainer", name)
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@staticmethod
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def get_converter(category, name):
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""" Return the converter sub plugin """
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return PluginLoader._import("convert.{}".format(category), name)
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@staticmethod
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def _import(attr, name):
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""" Import the plugin's module """
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name = name.replace("-", "_")
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ttl = attr.split(".")[-1].title()
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logger.info("Loading %s from %s plugin...", ttl, name.title())
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attr = "model" if attr == "Trainer" else attr.lower()
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mod = ".".join(("plugins", attr, name))
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module = import_module(mod)
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return getattr(module, ttl)
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@staticmethod
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def get_available_extractors(extractor_type):
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""" Return a list of available models """
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extractpath = os.path.join(os.path.dirname(__file__),
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"extract",
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extractor_type)
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extractors = sorted(item.name.replace(".py", "").replace("_", "-")
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for item in os.scandir(extractpath)
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if not item.name.startswith("_")
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and item.name.endswith(".py")
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and item.name != "manual.py")
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return extractors
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@staticmethod
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def get_available_models():
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""" Return a list of available models """
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modelpath = os.path.join(os.path.dirname(__file__), "train", "model")
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models = sorted(item.name.replace(".py", "").replace("_", "-")
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for item in os.scandir(modelpath)
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if not item.name.startswith("_")
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and item.name.endswith(".py"))
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return models
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@staticmethod
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def get_default_model():
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""" Return the default model """
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models = PluginLoader.get_available_models()
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return 'original' if 'original' in models else models[0]
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@staticmethod
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def get_available_convert_plugins(convert_category, add_none=True):
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""" Return a list of available models """
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convertpath = os.path.join(os.path.dirname(__file__),
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"convert",
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convert_category)
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converters = sorted(item.name.replace(".py", "").replace("_", "-")
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for item in os.scandir(convertpath)
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if not item.name.startswith("_")
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and item.name.endswith(".py"))
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if add_none:
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converters.insert(0, "none")
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return converters
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