diff options
Diffstat (limited to 'modules/realesrgan_model.py')
| -rw-r--r-- | modules/realesrgan_model.py | 45 |
1 files changed, 19 insertions, 26 deletions
diff --git a/modules/realesrgan_model.py b/modules/realesrgan_model.py index 99983678..0700b853 100644 --- a/modules/realesrgan_model.py +++ b/modules/realesrgan_model.py @@ -1,15 +1,13 @@ import os
-import sys
-import traceback
import numpy as np
from PIL import Image
-from basicsr.utils.download_util import load_file_from_url
from realesrgan import RealESRGANer
from modules.upscaler import Upscaler, UpscalerData
from modules.shared import cmd_opts, opts
-from modules import modelloader
+from modules import modelloader, errors
+
class UpscalerRealESRGAN(Upscaler):
def __init__(self, path):
@@ -36,8 +34,7 @@ class UpscalerRealESRGAN(Upscaler): self.scalers.append(scaler)
except Exception:
- print("Error importing Real-ESRGAN:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Error importing Real-ESRGAN", exc_info=True)
self.enable = False
self.scalers = []
@@ -45,9 +42,10 @@ class UpscalerRealESRGAN(Upscaler): if not self.enable:
return img
- info = self.load_model(path)
- if not os.path.exists(info.local_data_path):
- print(f"Unable to load RealESRGAN model: {info.name}")
+ try:
+ info = self.load_model(path)
+ except Exception:
+ errors.report(f"Unable to load RealESRGAN model {path}", exc_info=True)
return img
upsampler = RealESRGANer(
@@ -65,21 +63,17 @@ class UpscalerRealESRGAN(Upscaler): return image
def load_model(self, path):
- try:
- info = next(iter([scaler for scaler in self.scalers if scaler.data_path == path]), None)
-
- if info is None:
- print(f"Unable to find model info: {path}")
- return None
-
- if info.local_data_path.startswith("http"):
- info.local_data_path = load_file_from_url(url=info.data_path, model_dir=self.model_download_path, progress=True)
-
- return info
- except Exception as e:
- print(f"Error making Real-ESRGAN models list: {e}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
- return None
+ for scaler in self.scalers:
+ if scaler.data_path == path:
+ if scaler.local_data_path.startswith("http"):
+ scaler.local_data_path = modelloader.load_file_from_url(
+ scaler.data_path,
+ model_dir=self.model_download_path,
+ )
+ if not os.path.exists(scaler.local_data_path):
+ raise FileNotFoundError(f"RealESRGAN data missing: {scaler.local_data_path}")
+ return scaler
+ raise ValueError(f"Unable to find model info: {path}")
def load_models(self, _):
return get_realesrgan_models(self)
@@ -135,5 +129,4 @@ def get_realesrgan_models(scaler): ]
return models
except Exception:
- print("Error making Real-ESRGAN models list:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Error making Real-ESRGAN models list", exc_info=True)
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