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import os
import sys
import traceback
from modules.paths import script_path
from modules.shared import cmd_opts
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 None and gfpgan_constructor is not None:
loaded_gfpgan_model = gfpgan_constructor(model_path=gfpgan_model_path(), upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None)
return loaded_gfpgan_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)
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