aboutsummaryrefslogtreecommitdiffstats
path: root/modules/bsrgan_model.py
diff options
context:
space:
mode:
Diffstat (limited to 'modules/bsrgan_model.py')
-rw-r--r--modules/bsrgan_model.py11
1 files changed, 5 insertions, 6 deletions
diff --git a/modules/bsrgan_model.py b/modules/bsrgan_model.py
index 77141545..3bd80791 100644
--- a/modules/bsrgan_model.py
+++ b/modules/bsrgan_model.py
@@ -8,7 +8,7 @@ import torch
from basicsr.utils.download_util import load_file_from_url
import modules.upscaler
-from modules import shared, modelloader
+from modules import devices, modelloader
from modules.bsrgan_model_arch import RRDBNet
from modules.paths import models_path
@@ -44,13 +44,13 @@ class UpscalerBSRGAN(modules.upscaler.Upscaler):
model = self.load_model(selected_file)
if model is None:
return img
- model.to(shared.device)
+ model.to(devices.device_bsrgan)
torch.cuda.empty_cache()
img = np.array(img)
img = img[:, :, ::-1]
img = np.moveaxis(img, 2, 0) / 255
img = torch.from_numpy(img).float()
- img = img.unsqueeze(0).to(shared.device)
+ img = img.unsqueeze(0).to(devices.device_bsrgan)
with torch.no_grad():
output = model(img)
output = output.squeeze().float().cpu().clamp_(0, 1).numpy()
@@ -67,10 +67,9 @@ class UpscalerBSRGAN(modules.upscaler.Upscaler):
else:
filename = path
if not os.path.exists(filename) or filename is None:
- print("Unable to load %s from %s" % (self.model_dir, filename))
+ print(f"BSRGAN: Unable to load model from {filename}", file=sys.stderr)
return None
- print("Loading %s from %s" % (self.model_dir, filename))
- model = RRDBNet(in_nc=3, out_nc=3, nf=64, nb=23, gc=32, sf=2) # define network
+ model = RRDBNet(in_nc=3, out_nc=3, nf=64, nb=23, gc=32, sf=4) # define network
model.load_state_dict(torch.load(filename), strict=True)
model.eval()
for k, v in model.named_parameters():