mirror of
https://github.com/iperov/DeepFaceLab.git
synced 2025-07-06 21:12:07 -07:00
5ac7e5d7f1
Pixel loss may help to enhance fine details and stabilize face color. Use it only if quality does not improve over time. SAE: previous SAE model will not work with this update. Greatly decreased chance of model collapse. Increased model accuracy. Residual blocks now default and this option has been removed. Improved 'learn mask'. Added masked preview (switch by space key) Converter: fixed rct/lct in seamless mode added mask mode (6) learned*FAN-prd*FAN-dst added mask editor, its created for refining dataset for FANSeg model, and not for production, but you can spend your time and test it in regular fakes with face obstructions
64 lines
2 KiB
Python
64 lines
2 KiB
Python
import localization
|
|
import numpy as np
|
|
from PIL import Image, ImageDraw, ImageFont
|
|
|
|
pil_fonts = {}
|
|
def _get_pil_font (font, size):
|
|
global pil_fonts
|
|
try:
|
|
font_str_id = '%s_%d' % (font, size)
|
|
if font_str_id not in pil_fonts.keys():
|
|
pil_fonts[font_str_id] = ImageFont.truetype(font + ".ttf", size=size, encoding="unic")
|
|
pil_font = pil_fonts[font_str_id]
|
|
return pil_font
|
|
except:
|
|
return ImageFont.load_default()
|
|
|
|
def get_text_image( shape, text, color=(1,1,1), border=0.2, font=None):
|
|
h,w,c = shape
|
|
try:
|
|
pil_font = _get_pil_font( localization.get_default_ttf_font_name() , h-2)
|
|
|
|
canvas = Image.new('RGB', (w,h) , (0,0,0) )
|
|
draw = ImageDraw.Draw(canvas)
|
|
offset = ( 0, 0)
|
|
draw.text(offset, text, font=pil_font, fill=tuple((np.array(color)*255).astype(np.int)) )
|
|
|
|
result = np.asarray(canvas) / 255
|
|
|
|
if c > 3:
|
|
result = np.concatenate ( (result, np.ones ((h,w,c-3)) ), axis=-1 )
|
|
elif c < 3:
|
|
result = result[...,0:c]
|
|
return result
|
|
except:
|
|
return np.zeros ( (h,w,c) )
|
|
|
|
def draw_text( image, rect, text, color=(1,1,1), border=0.2, font=None):
|
|
h,w,c = image.shape
|
|
|
|
l,t,r,b = rect
|
|
l = np.clip (l, 0, w-1)
|
|
r = np.clip (r, 0, w-1)
|
|
t = np.clip (t, 0, h-1)
|
|
b = np.clip (b, 0, h-1)
|
|
|
|
image[t:b, l:r] += get_text_image ( (r-l,b-t,c) , text, color, border, font )
|
|
|
|
|
|
def draw_text_lines (image, rect, text_lines, color=(1,1,1), border=0.2, font=None):
|
|
text_lines_len = len(text_lines)
|
|
if text_lines_len == 0:
|
|
return
|
|
|
|
l,t,r,b = rect
|
|
h = b-t
|
|
h_per_line = h // text_lines_len
|
|
|
|
for i in range(0, text_lines_len):
|
|
draw_text (image, (l, i*h_per_line, r, (i+1)*h_per_line), text_lines[i], color, border, font)
|
|
|
|
def get_draw_text_lines ( image, rect, text_lines, color=(1,1,1), border=0.2, font=None):
|
|
image = np.zeros ( image.shape, dtype=np.float )
|
|
draw_text_lines ( image, rect, text_lines, color, border, font)
|
|
return image
|