mirror of
https://github.com/deepfakes/faceswap
synced 2025-06-07 19:05:02 -04:00
* Core Updates - Remove lib.utils.keras_backend_quiet and replace with get_backend() where relevant - Document lib.gpu_stats and lib.sys_info - Remove call to GPUStats.is_plaidml from convert and replace with get_backend() - lib.gui.menu - typofix * Update Dependencies Bump Tensorflow Version Check * Port extraction to tf2 * Add custom import finder for loading Keras or tf.keras depending on backend * Add `tensorflow` to KerasFinder search path * Basic TF2 training running * model.initializers - docstring fix * Fix and pass tests for tf2 * Replace Keras backend tests with faceswap backend tests * Initial optimizers update * Monkey patch tf.keras optimizer * Remove custom Adam Optimizers and Memory Saving Gradients * Remove multi-gpu option. Add Distribution to cli * plugins.train.model._base: Add Mirror, Central and Default distribution strategies * Update tensorboard kwargs for tf2 * Penalized Loss - Fix for TF2 and AMD * Fix syntax for tf2.1 * requirements typo fix * Explicit None for clipnorm if using a distribution strategy * Fix penalized loss for distribution strategies * Update Dlight * typo fix * Pin to TF2.2 * setup.py - Install tensorflow from pip if not available in Conda * Add reduction options and set default for mirrored distribution strategy * Explicitly use default strategy rather than nullcontext * lib.model.backup_restore documentation * Remove mirrored strategy reduction method and default based on OS * Initial restructure - training * Remove PingPong Start model.base refactor * Model saving and resuming enabled * More tidying up of model.base * Enable backup and snapshotting * Re-enable state file Remove loss names from state file Fix print loss function Set snapshot iterations correctly * Revert original model to Keras Model structure rather than custom layer Output full model and sub model summary Change NNBlocks to callables rather than custom keras layers * Apply custom Conv2D layer * Finalize NNBlock restructure Update Dfaker blocks * Fix reloading model under a different distribution strategy * Pass command line arguments through to trainer * Remove training_opts from model and reference params directly * Tidy up model __init__ * Re-enable tensorboard logging Suppress "Model Not Compiled" warning * Fix timelapse * lib.model.nnblocks - Bugfix residual block Port dfaker bugfix original * dfl-h128 ported * DFL SAE ported * IAE Ported * dlight ported * port lightweight * realface ported * unbalanced ported * villain ported * lib.cli.args - Update Batchsize + move allow_growth to config * Remove output shape definition Get image sizes per side rather than globally * Strip mask input from encoder * Fix learn mask and output learned mask to preview * Trigger Allow Growth prior to setting strategy * Fix GUI Graphing * GUI - Display batchsize correctly + fix training graphs * Fix penalized loss * Enable mixed precision training * Update analysis displayed batch to match input * Penalized Loss - Multi-GPU Fix * Fix all losses for TF2 * Fix Reflect Padding * Allow different input size for each side of the model * Fix conv-aware initialization on reload * Switch allow_growth order * Move mixed_precision to cli * Remove distrubution strategies * Compile penalized loss sub-function into LossContainer * Bump default save interval to 250 Generate preview on first iteration but don't save Fix iterations to start at 1 instead of 0 Remove training deprecation warnings Bump some scripts.train loglevels * Add ability to refresh preview on demand on pop-up window * Enable refresh of training preview from GUI * Fix Convert Debug logging in Initializers * Fix Preview Tool * Update Legacy TF1 weights to TF2 Catch stats error on loading stats with missing logs * lib.gui.popup_configure - Make more responsive + document * Multiple Outputs supported in trainer Original Model - Mask output bugfix * Make universal inference model for convert Remove scaling from penalized mask loss (now handled at input to y_true) * Fix inference model to work properly with all models * Fix multi-scale output for convert * Fix clipnorm issue with distribution strategies Edit error message on OOM * Update plaidml losses * Add missing file * Disable gmsd loss for plaidnl * PlaidML - Basic training working * clipnorm rewriting for mixed-precision * Inference model creation bugfixes * Remove debug code * Bugfix: Default clipnorm to 1.0 * Remove all mask inputs from training code * Remove mask inputs from convert * GUI - Analysis Tab - Docstrings * Fix rate in totals row * lib.gui - Only update display pages if they have focus * Save the model on first iteration * plaidml - Fix SSIM loss with penalized loss * tools.alignments - Remove manual and fix jobs * GUI - Remove case formatting on help text * gui MultiSelect custom widget - Set default values on init * vgg_face2 - Move to plugins.extract.recognition and use plugins._base base class cli - Add global GPU Exclude Option tools.sort - Use global GPU Exlude option for backend lib.model.session - Exclude all GPUs when running in CPU mode lib.cli.launcher - Set backend to CPU mode when all GPUs excluded * Cascade excluded devices to GPU Stats * Explicit GPU selection for Train and Convert * Reduce Tensorflow Min GPU Multiprocessor Count to 4 * remove compat.v1 code from extract * Force TF to skip mixed precision compatibility check if GPUs have been filtered * Add notes to config for non-working AMD losses * Rasie error if forcing extract to CPU mode * Fix loading of legace dfl-sae weights + dfl-sae typo fix * Remove unused requirements Update sphinx requirements Fix broken rst file locations * docs: lib.gui.display * clipnorm amd condition check * documentation - gui.display_analysis * Documentation - gui.popup_configure * Documentation - lib.logger * Documentation - lib.model.initializers * Documentation - lib.model.layers * Documentation - lib.model.losses * Documentation - lib.model.nn_blocks * Documetation - lib.model.normalization * Documentation - lib.model.session * Documentation - lib.plaidml_stats * Documentation: lib.training_data * Documentation: lib.utils * Documentation: plugins.train.model._base * GUI Stats: prevent stats from using GPU * Documentation - Original Model * Documentation: plugins.model.trainer._base * linting * unit tests: initializers + losses * unit tests: nn_blocks * bugfix - Exclude gpu devices in train, not include * Enable Exclude-Gpus in Extract * Enable exclude gpus in tools * Disallow multiple plugin types in a single model folder * Automatically add exclude_gpus argument in for cpu backends * Cpu backend fixes * Relax optimizer test threshold * Default Train settings - Set mask to Extended * Update Extractor cli help text Update to Python 3.8 * Fix FAN to run on CPU * lib.plaidml_tools - typofix * Linux installer - check for curl * linux installer - typo fix
197 lines
7.4 KiB
Python
197 lines
7.4 KiB
Python
#!/usr/bin python3
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""" The optional GUI for faceswap """
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import logging
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import sys
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import tkinter as tk
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from tkinter import messagebox, ttk
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from lib.gui import (TaskBar, CliOptions, CommandNotebook, ConsoleOut, Session, DisplayNotebook,
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get_images, initialize_images, initialize_config, LastSession,
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MainMenuBar, preview_trigger, ProcessWrapper, StatusBar)
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logger = logging.getLogger(__name__) # pylint: disable=invalid-name
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class FaceswapGui(tk.Tk):
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""" The Graphical User Interface """
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def __init__(self, debug):
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logger.debug("Initializing %s", self.__class__.__name__)
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super().__init__()
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self._init_args = dict(debug=debug)
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self._config = self.initialize_globals()
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self.set_fonts()
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self.set_styles()
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self._config.set_geometry(1200, 640, self._config.user_config_dict["fullscreen"])
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self.wrapper = ProcessWrapper()
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self.objects = dict()
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get_images().delete_preview()
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preview_trigger().clear()
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self.protocol("WM_DELETE_WINDOW", self.close_app)
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self.build_gui()
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self._last_session = LastSession(self._config)
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logger.debug("Initialized %s", self.__class__.__name__)
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def initialize_globals(self):
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""" Initialize config and images global constants """
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cliopts = CliOptions()
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statusbar = StatusBar(self)
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session = Session()
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config = initialize_config(self, cliopts, statusbar, session)
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initialize_images()
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return config
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def set_fonts(self):
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""" Set global default font """
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tk.font.nametofont("TkFixedFont").configure(size=self._config.default_font[1])
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for font in ("TkDefaultFont", "TkHeadingFont", "TkMenuFont"):
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tk.font.nametofont(font).configure(family=self._config.default_font[0],
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size=self._config.default_font[1])
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@staticmethod
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def set_styles():
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""" Set global custom styles """
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gui_style = ttk.Style()
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gui_style.configure('TLabelframe.Label', foreground="#0046D5", relief=tk.SOLID)
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def build_gui(self, rebuild=False):
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""" Build the GUI """
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logger.debug("Building GUI")
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if not rebuild:
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self.tk.call('wm', 'iconphoto', self._w, get_images().icons["favicon"])
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self.configure(menu=MainMenuBar(self))
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if rebuild:
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objects = list(self.objects.keys())
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for obj in objects:
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self.objects[obj].destroy()
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del self.objects[obj]
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self.objects["taskbar"] = TaskBar(self)
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self.add_containers()
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self.objects["command"] = CommandNotebook(self.objects["container_top"])
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self.objects["display"] = DisplayNotebook(self.objects["container_top"])
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self.objects["console"] = ConsoleOut(self.objects["container_bottom"],
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self._init_args["debug"])
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self.set_initial_focus()
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self.set_layout()
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self._config.set_default_options()
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logger.debug("Built GUI")
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def add_containers(self):
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""" Add the paned window containers that
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hold each main area of the gui """
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logger.debug("Adding containers")
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maincontainer = tk.PanedWindow(self,
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sashrelief=tk.RIDGE,
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sashwidth=4,
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sashpad=8,
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orient=tk.VERTICAL,
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name="pw_main")
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maincontainer.pack(fill=tk.BOTH, expand=True)
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topcontainer = tk.PanedWindow(maincontainer,
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sashrelief=tk.RIDGE,
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sashwidth=4,
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sashpad=8,
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orient=tk.HORIZONTAL,
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name="pw_top")
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maincontainer.add(topcontainer)
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bottomcontainer = ttk.Frame(maincontainer, name="frame_bottom")
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maincontainer.add(bottomcontainer)
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self.objects["container_main"] = maincontainer
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self.objects["container_top"] = topcontainer
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self.objects["container_bottom"] = bottomcontainer
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logger.debug("Added containers")
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def set_initial_focus(self):
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""" Set the tab focus from settings """
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tab = self._config.user_config_dict["tab"]
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logger.debug("Setting focus for tab: %s", tab)
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self._config.set_active_tab_by_name(tab)
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logger.debug("Focus set to: %s", tab)
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def set_layout(self):
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""" Set initial layout """
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self.update_idletasks()
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config_opts = self._config.user_config_dict
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r_width = self.winfo_width()
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r_height = self.winfo_height()
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w_ratio = config_opts["options_panel_width"] / 100.0
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h_ratio = 1 - (config_opts["console_panel_height"] / 100.0)
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width = round(r_width * w_ratio)
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height = round(r_height * h_ratio)
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logger.debug("Setting Initial Layout: (root_width: %s, root_height: %s, width_ratio: %s, "
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"height_ratio: %s, width: %s, height: %s", r_width, r_height, w_ratio,
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h_ratio, width, height)
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self.objects["container_top"].sash_place(0, width, 1)
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self.objects["container_main"].sash_place(0, 1, height)
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self.update_idletasks()
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def rebuild(self):
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""" Rebuild the GUI on config change """
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logger.debug("Redrawing GUI")
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session_state = self._last_session.to_dict()
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self._config.refresh_config()
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get_images().__init__()
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self.set_fonts()
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self.build_gui(rebuild=True)
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if session_state is not None:
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self._last_session.from_dict(session_state)
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logger.debug("GUI Redrawn")
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def close_app(self, *args): # pylint: disable=unused-argument
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""" Close Python. This is here because the graph
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animation function continues to run even when
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tkinter has gone away """
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logger.debug("Close Requested")
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if not self._confirm_close_on_running_task():
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return
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if not self._config.project.confirm_close():
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return
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if self._config.tk_vars["runningtask"].get():
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self.wrapper.task.terminate()
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self._last_session.save()
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get_images().delete_preview()
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preview_trigger().clear()
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self.quit()
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logger.debug("Closed GUI")
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sys.exit(0)
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def _confirm_close_on_running_task(self):
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""" Pop a confirmation box to close the GUI if a task is running
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Returns
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-------
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bool: ``True`` if user confirms close, ``False`` if user cancels close
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"""
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if not self._config.tk_vars["runningtask"].get():
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logger.debug("No tasks currently running")
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return True
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confirmtxt = "Processes are still running.\n\nAre you sure you want to exit?"
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if not messagebox.askokcancel("Close", confirmtxt, default="cancel", icon="warning"):
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logger.debug("Close Cancelled")
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return True
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logger.debug("Close confirmed")
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return False
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class Gui(): # pylint: disable=too-few-public-methods
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""" The GUI process. """
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def __init__(self, arguments):
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self.root = FaceswapGui(arguments.debug)
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def process(self):
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""" Builds the GUI """
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self.root.mainloop()
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