mirror of
https://github.com/deepfakes/faceswap
synced 2025-06-07 10:43:27 -04:00
* model_refactor (#571) * original model to new structure * IAE model to new structure * OriginalHiRes to new structure * Fix trainer for different resolutions * Initial config implementation * Configparse library added * improved training data loader * dfaker model working * Add logging to training functions * Non blocking input for cli training * Add error handling to threads. Add non-mp queues to queue_handler * Improved Model Building and NNMeta * refactor lib/models * training refactor. DFL H128 model Implementation * Dfaker - use hashes * Move timelapse. Remove perceptual loss arg * Update INSTALL.md. Add logger formatting. Update Dfaker training * DFL h128 partially ported * Add mask to dfaker (#573) * Remove old models. Add mask to dfaker * dfl mask. Make masks selectable in config (#575) * DFL H128 Mask. Mask type selectable in config. * remove gan_v2_2 * Creating Input Size config for models Creating Input Size config for models Will be used downstream in converters. Also name change of image_shape to input_shape to clarify ( for future models with potentially different output_shapes) * Add mask loss options to config * MTCNN options to config.ini. Remove GAN config. Update USAGE.md * Add sliders for numerical values in GUI * Add config plugins menu to gui. Validate config * Only backup model if loss has dropped. Get training working again * bugfixes * Standardise loss printing * GUI idle cpu fixes. Graph loss fix. * mutli-gpu logging bugfix * Merge branch 'staging' into train_refactor * backup state file * Crash protection: Only backup if both total losses have dropped * Port OriginalHiRes_RC4 to train_refactor (OriginalHiRes) * Load and save model structure with weights * Slight code update * Improve config loader. Add subpixel opt to all models. Config to state * Show samples... wrong input * Remove AE topology. Add input/output shapes to State * Port original_villain (birb/VillainGuy) model to faceswap * Add plugin info to GUI config pages * Load input shape from state. IAE Config options. * Fix transform_kwargs. Coverage to ratio. Bugfix mask detection * Suppress keras userwarnings. Automate zoom. Coverage_ratio to model def. * Consolidation of converters & refactor (#574) * Consolidation of converters & refactor Initial Upload of alpha Items - consolidate convert_mased & convert_adjust into one converter -add average color adjust to convert_masked -allow mask transition blur size to be a fixed integer of pixels and a fraction of the facial mask size -allow erosion/dilation size to be a fixed integer of pixels and a fraction of the facial mask size -eliminate redundant type conversions to avoid multiple round-off errors -refactor loops for vectorization/speed -reorganize for clarity & style changes TODO - bug/issues with warping the new face onto a transparent old image...use a cleanup mask for now - issues with mask border giving black ring at zero erosion .. investigate - remove GAN ?? - test enlargment factors of umeyama standard face .. match to coverage factor - make enlargment factor a model parameter - remove convert_adjusted and referencing code when finished * Update Convert_Masked.py default blur size of 2 to match original... description of enlargement tests breakout matrxi scaling into def * Enlargment scale as a cli parameter * Update cli.py * dynamic interpolation algorithm Compute x & y scale factors from the affine matrix on the fly by QR decomp. Choose interpolation alogrithm for the affine warp based on an upsample or downsample for each image * input size input size from config * fix issues with <1.0 erosion * Update convert.py * Update Convert_Adjust.py more work on the way to merginf * Clean up help note on sharpen * cleanup seamless * Delete Convert_Adjust.py * Update umeyama.py * Update training_data.py * swapping * segmentation stub * changes to convert.str * Update masked.py * Backwards compatibility fix for models Get converter running * Convert: Move masks to class. bugfix blur_size some linting * mask fix * convert fixes - missing facehull_rect re-added - coverage to % - corrected coverage logic - cleanup of gui option ordering * Update cli.py * default for blur * Update masked.py * added preliminary low_mem version of OriginalHighRes model plugin * Code cleanup, minor fixes * Update masked.py * Update masked.py * Add dfl mask to convert * histogram fix & seamless location * update * revert * bugfix: Load actual configuration in gui * Standardize nn_blocks * Update cli.py * Minor code amends * Fix Original HiRes model * Add masks to preview output for mask trainers refactor trainer.__base.py * Masked trainers converter support * convert bugfix * Bugfix: Converter for masked (dfl/dfaker) trainers * Additional Losses (#592) * initial upload * Delete blur.py * default initializer = He instead of Glorot (#588) * Allow kernel_initializer to be overridable * Add ICNR Initializer option for upscale on all models. * Hopefully fixes RSoDs with original-highres model plugin * remove debug line * Original-HighRes model plugin Red Screen of Death fix, take #2 * Move global options to _base. Rename Villain model * clipnorm and res block biases * scale the end of res block * res block * dfaker pre-activation res * OHRES pre-activation * villain pre-activation * tabs/space in nn_blocks * fix for histogram with mask all set to zero * fix to prevent two networks with same name * GUI: Wider tooltips. Improve TQDM capture * Fix regex bug * Convert padding=48 to ratio of image size * Add size option to alignments tool extract * Pass through training image size to convert from model * Convert: Pull training coverage from model * convert: coverage, blur and erode to percent * simplify matrix scaling * ordering of sliders in train * Add matrix scaling to utils. Use interpolation in lib.aligner transform * masked.py Import get_matrix_scaling from utils * fix circular import * Update masked.py * quick fix for matrix scaling * testing thus for now * tqdm regex capture bugfix * Minor ammends * blur size cleanup * Remove coverage option from convert (Now cascades from model) * Implement convert for all model types * Add mask option and coverage option to all existing models * bugfix for model loading on convert * debug print removal * Bugfix for masks in dfl_h128 and iae * Update preview display. Add preview scaling to cli * mask notes * Delete training_data_v2.py errant file * training data variables * Fix timelapse function * Add new config items to state file for legacy purposes * Slight GUI tweak * Raise exception if problem with loaded model * Add Tensorboard support (Logs stored in model directory) * ICNR fix * loss bugfix * convert bugfix * Move ini files to config folder. Make TensorBoard optional * Fix training data for unbalanced inputs/outputs * Fix config "none" test * Keep helptext in .ini files when saving config from GUI * Remove frame_dims from alignments * Add no-flip and warp-to-landmarks cli options * Revert OHR to RC4_fix version * Fix lowmem mode on OHR model * padding to variable * Save models in parallel threads * Speed-up of res_block stability * Automated Reflection Padding * Reflect Padding as a training option Includes auto-calculation of proper padding shapes, input_shapes, output_shapes Flag included in config now * rest of reflect padding * Move TB logging to cli. Session info to state file * Add session iterations to state file * Add recent files to menu. GUI code tidy up * [GUI] Fix recent file list update issue * Add correct loss names to TensorBoard logs * Update live graph to use TensorBoard and remove animation * Fix analysis tab. GUI optimizations * Analysis Graph popup to Tensorboard Logs * [GUI] Bug fix for graphing for models with hypens in name * [GUI] Correctly split loss to tabs during training * [GUI] Add loss type selection to analysis graph * Fix store command name in recent files. Switch to correct tab on open * [GUI] Disable training graph when 'no-logs' is selected * Fix graphing race condition * rename original_hires model to unbalanced
134 lines
5.4 KiB
Python
134 lines
5.4 KiB
Python
#!/usr/bin python3
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""" The Menu Bars for faceswap GUI """
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import logging
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import os
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import sys
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import tkinter as tk
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from importlib import import_module
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from lib.Serializer import JSONSerializer
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from .utils import get_config
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from .popup_configure import popup_config
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logger = logging.getLogger(__name__) # pylint: disable=invalid-name
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class MainMenuBar(tk.Menu):
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""" GUI Main Menu Bar """
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def __init__(self, master=None):
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logger.debug("Initializing %s", self.__class__.__name__)
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super().__init__(master)
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self.root = master
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self.config = get_config()
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self.file_menu = tk.Menu(self, tearoff=0)
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self.recent_menu = tk.Menu(self.file_menu, tearoff=0, postcommand=self.refresh_recent_menu)
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self.edit_menu = tk.Menu(self, tearoff=0)
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self.build_file_menu()
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self.build_edit_menu()
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logger.debug("Initialized %s", self.__class__.__name__)
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def build_file_menu(self):
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""" Add the file menu to the menu bar """
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logger.debug("Building File menu")
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self.file_menu.add_command(
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label="Load full config...", underline=0, command=self.config.load)
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self.file_menu.add_command(
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label="Save full config...", underline=0, command=self.config.save)
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self.file_menu.add_separator()
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self.file_menu.add_cascade(label="Open recent", underline=6, menu=self.recent_menu)
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self.file_menu.add_separator()
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self.file_menu.add_command(
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label="Reset all to default", underline=0, command=self.config.cli_opts.reset)
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self.file_menu.add_command(
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label="Clear all", underline=0, command=self.config.cli_opts.clear)
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self.file_menu.add_separator()
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self.file_menu.add_command(label="Quit", underline=0, command=self.root.close_app)
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self.add_cascade(label="File", menu=self.file_menu, underline=0)
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logger.debug("Built File menu")
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def build_recent_menu(self):
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""" Load recent files into menu bar """
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logger.debug("Building Recent Files menu")
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serializer = JSONSerializer
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menu_file = os.path.join(self.config.pathcache, ".recent.json")
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if not os.path.isfile(menu_file):
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self.clear_recent_files(serializer, menu_file)
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with open(menu_file, "rb") as inp:
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recent_files = serializer.unmarshal(inp.read().decode("utf-8"))
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logger.debug("Loaded recent files: %s", recent_files)
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for recent_item in recent_files:
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filename, command = recent_item
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logger.debug("processing: ('%s', %s)", filename, command)
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if not os.path.isfile(filename):
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logger.debug("File does not exist")
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continue
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lbl_command = command if command else "All"
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self.recent_menu.add_command(
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label="{} ({})".format(filename, lbl_command.title()),
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command=lambda fnm=filename, cmd=command: self.config.load(cmd, fnm))
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self.recent_menu.add_separator()
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self.recent_menu.add_command(
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label="Clear recent files",
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underline=0,
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command=lambda srl=serializer, mnu=menu_file: self.clear_recent_files(srl, mnu))
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logger.debug("Built Recent Files menu")
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@staticmethod
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def clear_recent_files(serializer, menu_file):
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""" Creates or clears recent file list """
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logger.debug("clearing recent files list: '%s'", menu_file)
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recent_files = serializer.marshal(list())
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with open(menu_file, "wb") as out:
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out.write(recent_files.encode("utf-8"))
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def refresh_recent_menu(self):
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""" Refresh recent menu on save/load of files """
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self.recent_menu.delete(0, "end")
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self.build_recent_menu()
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def build_edit_menu(self):
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""" Add the edit menu to the menu bar """
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logger.debug("Building Edit menu")
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edit_menu = tk.Menu(self, tearoff=0)
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configs = self.scan_for_configs()
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for name in sorted(list(configs.keys())):
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label = "Configure {} Plugins...".format(name.title())
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config = configs[name]
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edit_menu.add_command(
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label=label,
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underline=10,
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command=lambda conf=(name, config), root=self.root: popup_config(conf, root))
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self.add_cascade(label="Edit", menu=edit_menu, underline=0)
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logger.debug("Built Edit menu")
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def scan_for_configs(self):
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""" Scan for config.ini file locations """
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root_path = os.path.abspath(os.path.dirname(sys.argv[0]))
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plugins_path = os.path.join(root_path, "plugins")
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logger.debug("Scanning path: '%s'", plugins_path)
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configs = dict()
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for dirpath, _, filenames in os.walk(plugins_path):
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if "_config.py" in filenames:
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plugin_type = os.path.split(dirpath)[-1]
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config = self.load_config(plugin_type)
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configs[plugin_type] = config
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logger.debug("Configs loaded: %s", sorted(list(configs.keys())))
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return configs
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@staticmethod
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def load_config(plugin_type):
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""" Load the config to generate config file if it doesn't exist and get filename """
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# Load config to generate default if doesn't exist
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mod = ".".join(("plugins", plugin_type, "_config"))
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module = import_module(mod)
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config = module.Config(None)
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logger.debug("Found '%s' config at '%s'", plugin_type, config.configfile)
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return config
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