split codebase into multiple files; to anyone this affects negatively: sorry

modules/realesrgan_model.py

@@ -0,0 +1,70 @@
+import sys
+import traceback
+from collections import namedtuple
+import numpy as np
+from PIL import Image
+
+from modules.shared import cmd_opts
+
+RealesrganModelInfo = namedtuple("RealesrganModelInfo", ["name", "location", "model", "netscale"])
+
+realesrgan_models = []
+have_realesrgan = False
+RealESRGANer_constructor = None
+
+def setup_realesrgan():
+    global realesrgan_models
+    global have_realesrgan
+    global RealESRGANer_constructor
+
+    try:
+        from basicsr.archs.rrdbnet_arch import RRDBNet
+        from realesrgan import RealESRGANer
+        from realesrgan.archs.srvgg_arch import SRVGGNetCompact
+
+        realesrgan_models = [
+            RealesrganModelInfo(
+                name="Real-ESRGAN 4x plus",
+                location="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
+                netscale=4, model=lambda: RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=4)
+            ),
+            RealesrganModelInfo(
+                name="Real-ESRGAN 4x plus anime 6B",
+                location="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
+                netscale=4, model=lambda: RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=6, num_grow_ch=32, scale=4)
+            ),
+            RealesrganModelInfo(
+                name="Real-ESRGAN 2x plus",
+                location="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth",
+                netscale=2, model=lambda: RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=2)
+            ),
+        ]
+        have_realesrgan = True
+        RealESRGANer_constructor = RealESRGANer
+
+    except Exception:
+        print("Error importing Real-ESRGAN:", file=sys.stderr)
+        print(traceback.format_exc(), file=sys.stderr)
+
+        realesrgan_models = [RealesrganModelInfo('None', '', 0, None)]
+        have_realesrgan = False
+
+
+def upscale_with_realesrgan(image, RealESRGAN_upscaling, RealESRGAN_model_index):
+    if not have_realesrgan or RealESRGANer_constructor is None:
+        return image
+
+    info = realesrgan_models[RealESRGAN_model_index]
+
+    model = info.model()
+    upsampler = RealESRGANer_constructor(
+        scale=info.netscale,
+        model_path=info.location,
+        model=model,
+        half=not cmd_opts.no_half
+    )
+
+    upsampled = upsampler.enhance(np.array(image), outscale=RealESRGAN_upscaling)[0]
+
+    image = Image.fromarray(upsampled)
+    return image