68 lines
1.8 KiB
Python
68 lines
1.8 KiB
Python
import os
|
|
import sys
|
|
import traceback
|
|
|
|
from modules.paths import script_path
|
|
from modules.shared import cmd_opts
|
|
import modules.shared
|
|
|
|
|
|
def gfpgan_model_path():
|
|
places = [script_path, '.', os.path.join(cmd_opts.gfpgan_dir, 'experiments/pretrained_models')]
|
|
files = [cmd_opts.gfpgan_model] + [os.path.join(dirname, cmd_opts.gfpgan_model) for dirname in places]
|
|
found = [x for x in files if os.path.exists(x)]
|
|
|
|
if len(found) == 0:
|
|
raise Exception("GFPGAN model not found in paths: " + ", ".join(files))
|
|
|
|
return found[0]
|
|
|
|
|
|
loaded_gfpgan_model = None
|
|
|
|
|
|
def gfpgan():
|
|
global loaded_gfpgan_model
|
|
|
|
if loaded_gfpgan_model is not None:
|
|
return loaded_gfpgan_model
|
|
|
|
if gfpgan_constructor is None:
|
|
return None
|
|
|
|
model = gfpgan_constructor(model_path=gfpgan_model_path(), upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None)
|
|
|
|
if not cmd_opts.unload_gfpgan:
|
|
loaded_gfpgan_model = model
|
|
|
|
return model
|
|
|
|
|
|
def gfpgan_fix_faces(np_image):
|
|
np_image_bgr = np_image[:, :, ::-1]
|
|
cropped_faces, restored_faces, gfpgan_output_bgr = gfpgan().enhance(np_image_bgr, has_aligned=False, only_center_face=False, paste_back=True)
|
|
np_image = gfpgan_output_bgr[:, :, ::-1]
|
|
|
|
return np_image
|
|
|
|
|
|
have_gfpgan = False
|
|
gfpgan_constructor = None
|
|
|
|
def setup_gfpgan():
|
|
try:
|
|
gfpgan_model_path()
|
|
|
|
if os.path.exists(cmd_opts.gfpgan_dir):
|
|
sys.path.append(os.path.abspath(cmd_opts.gfpgan_dir))
|
|
from gfpgan import GFPGANer
|
|
|
|
global have_gfpgan
|
|
have_gfpgan = True
|
|
|
|
global gfpgan_constructor
|
|
gfpgan_constructor = GFPGANer
|
|
except Exception:
|
|
print("Error setting up GFPGAN:", file=sys.stderr)
|
|
print(traceback.format_exc(), file=sys.stderr)
|