mirror of
https://github.com/iperov/DeepFaceLab.git
synced 2025-07-06 13:02:15 -07:00
7386a9d6fd
SAEHD: added new option GAN power 0.0 .. 10.0 Train the network in Generative Adversarial manner. Forces the neural network to learn small details of the face. You can enable/disable this option at any time, but better to enable it when the network is trained enough. Typical value is 1.0 GAN power with pretrain mode will not work. Example of enabling GAN on 81k iters +5k iters https://i.imgur.com/OdXHLhU.jpg https://i.imgur.com/CYAJmJx.jpg dfhd: default Decoder dimensions are now 48 the preview for 256 res is now correctly displayed fixed model naming/renaming/removing Improvements for those involved in post-processing in AfterEffects: Codec is reverted back to x264 in order to properly use in AfterEffects and video players. Merger now always outputs the mask to workspace\data_dst\merged_mask removed raw modes except raw-rgb raw-rgb mode now outputs selected face mask_mode (before square mask) 'export alpha mask' button is replaced by 'show alpha mask'. You can view the alpha mask without recompute the frames. 8) 'merged *.bat' now also output 'result_mask.' video file. 8) 'merged lossless' now uses x264 lossless codec (before PNG codec) result_mask video file is always lossless. Thus you can use result_mask video file as mask layer in the AfterEffects.
146 lines
5 KiB
Python
146 lines
5 KiB
Python
import math
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from pathlib import Path
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import numpy as np
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from core import imagelib
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from core.interact import interact as io
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from core.cv2ex import *
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from core import osex
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class ScreenAssets(object):
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waiting_icon_image = cv2_imread ( str(Path(__file__).parent / 'gfx' / 'sand_clock_64.png') )
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@staticmethod
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def build_checkerboard_a( sh, size=5):
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h,w = sh[0], sh[1]
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tile = np.array([[0,1],[1,0]]).repeat(size, axis=0).repeat(size, axis=1)
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grid = np.tile(tile,(int(math.ceil((h+0.0)/(2*size))),int(math.ceil((w+0.0)/(2*size)))))
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return grid[:h,:w,None]
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class Screen(object):
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def __init__(self, initial_scale_to_width=0, initial_scale_to_height=0, image=None, waiting_icon=False, **kwargs):
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self.initial_scale_to_width = initial_scale_to_width
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self.initial_scale_to_height = initial_scale_to_height
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self.image = image
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self.waiting_icon = waiting_icon
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self.state = -1
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self.scale = 1
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self.force_update = True
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self.is_first_appear = True
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self.show_checker_board = False
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self.last_screen_shape = (480,640,3)
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self.checkerboard_image = None
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self.set_image (image)
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self.scrn_manager = None
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def set_waiting_icon(self, b):
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self.waiting_icon = b
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def toggle_show_checker_board(self):
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self.show_checker_board = not self.show_checker_board
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self.force_update = True
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def set_image(self, img):
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if not img is self.image:
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self.force_update = True
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self.image = img
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if self.image is not None:
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self.last_screen_shape = self.image.shape
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if self.initial_scale_to_width != 0:
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if self.last_screen_shape[1] > self.initial_scale_to_width:
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self.scale = self.initial_scale_to_width / self.last_screen_shape[1]
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self.force_update = True
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self.initial_scale_to_width = 0
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elif self.initial_scale_to_height != 0:
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if self.last_screen_shape[0] > self.initial_scale_to_height:
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self.scale = self.initial_scale_to_height / self.last_screen_shape[0]
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self.force_update = True
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self.initial_scale_to_height = 0
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def diff_scale(self, diff):
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self.scale = np.clip (self.scale + diff, 0.1, 4.0)
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self.force_update = True
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def show(self, force=False):
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new_state = 0 | self.waiting_icon
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if self.state != new_state or self.force_update or force:
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self.state = new_state
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self.force_update = False
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if self.image is None:
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screen = np.zeros ( self.last_screen_shape, dtype=np.uint8 )
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else:
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screen = self.image.copy()
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if self.waiting_icon:
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imagelib.overlay_alpha_image (screen, ScreenAssets.waiting_icon_image, (0,0) )
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h,w,c = screen.shape
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if self.scale != 1.0:
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screen = cv2.resize ( screen, ( int(w*self.scale), int(h*self.scale) ) )
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if c == 4:
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if not self.show_checker_board:
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screen = screen[...,0:3]
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else:
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if self.checkerboard_image is None or self.checkerboard_image.shape[0:2] != screen.shape[0:2]:
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self.checkerboard_image = ScreenAssets.build_checkerboard_a(screen.shape)
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screen = screen[...,0:3]*0.75 + 64*self.checkerboard_image*(1- (screen[...,3:4].astype(np.float32)/255.0) )
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screen = screen.astype(np.uint8)
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io.show_image(self.scrn_manager.wnd_name, screen)
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if self.is_first_appear:
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self.is_first_appear = False
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#center window
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desktop_w, desktop_h = osex.get_screen_size()
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h,w,c = screen.shape
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cv2.moveWindow(self.scrn_manager.wnd_name, max(0,(desktop_w-w) // 2), max(0, (desktop_h-h) // 2) )
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io.process_messages(0.0001)
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class ScreenManager(object):
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def __init__(self, window_name="ScreenManager", screens=None, capture_keys=False ):
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self.screens = screens or []
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self.current_screen_id = 0
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if self.screens is not None:
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for screen in self.screens:
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screen.scrn_manager = self
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self.wnd_name = window_name
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io.named_window(self.wnd_name)
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if capture_keys:
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io.capture_keys(self.wnd_name)
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def finalize(self):
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io.destroy_all_windows()
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def get_key_events(self):
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return io.get_key_events(self.wnd_name)
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def switch_screens(self):
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self.current_screen_id = (self.current_screen_id + 1) % len(self.screens)
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self.screens[self.current_screen_id].show(force=True)
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def show_current(self):
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self.screens[self.current_screen_id].show()
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def get_current(self):
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return self.screens[self.current_screen_id]
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def set_current(self, screen):
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self.current_screen_id = self.screens.index(screen)
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