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-rw-r--r--modules/bsrgan_model.py8
1 files changed, 3 insertions, 5 deletions
diff --git a/modules/bsrgan_model.py b/modules/bsrgan_model.py
index e62c6657..737e1a76 100644
--- a/modules/bsrgan_model.py
+++ b/modules/bsrgan_model.py
@@ -8,15 +8,13 @@ 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
class UpscalerBSRGAN(modules.upscaler.Upscaler):
def __init__(self, dirname):
self.name = "BSRGAN"
- self.model_path = os.path.join(models_path, self.name)
self.model_name = "BSRGAN 4x"
self.model_url = "https://github.com/cszn/KAIR/releases/download/v1.0/BSRGAN.pth"
self.user_path = dirname
@@ -44,13 +42,13 @@ 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()