Files
SnapOtter/packages/ai/python/upscale.py
T

91 lines
2.6 KiB
Python

"""Image upscaling with Real-ESRGAN fallback to Lanczos."""
import sys
import json
def emit_progress(percent, stage):
"""Emit structured progress to stderr for bridge.ts to capture."""
print(json.dumps({"progress": percent, "stage": stage}), file=sys.stderr, flush=True)
def main():
input_path = sys.argv[1]
output_path = sys.argv[2]
settings = json.loads(sys.argv[3]) if len(sys.argv) > 3 else {}
scale = settings.get("scale", 2)
try:
emit_progress(10, "Loading upscale model")
from PIL import Image
img = Image.open(input_path)
new_size = (img.width * scale, img.height * scale)
# Try Real-ESRGAN first
try:
from basicsr.archs.rrdbnet_arch import RRDBNet
from realesrgan import RealESRGANer
import numpy as np
model = RRDBNet(
num_in_ch=3,
num_out_ch=3,
num_feat=64,
num_block=23,
num_grow_ch=32,
scale=scale,
)
upsampler = RealESRGANer(
scale=scale,
model_path=None,
model=model,
half=False,
)
emit_progress(20, "Model ready")
img_array = np.array(img.convert("RGB"))
emit_progress(25, "Upscaling image")
output, _ = upsampler.enhance(img_array, outscale=scale)
emit_progress(90, "Upscaling complete")
result = Image.fromarray(output)
emit_progress(95, "Saving result")
result.save(output_path)
method = "realesrgan"
except (ImportError, Exception):
# Fallback to Lanczos upscaling
emit_progress(50, "Upscaling with Lanczos")
img_upscaled = img.resize(new_size, Image.LANCZOS)
emit_progress(95, "Saving result")
img_upscaled.save(output_path)
method = "lanczos"
print(
json.dumps(
{
"success": True,
"scale": scale,
"width": new_size[0],
"height": new_size[1],
"method": method,
}
)
)
except ImportError:
print(
json.dumps(
{
"success": False,
"error": "Pillow is not installed. Install with: pip install Pillow",
}
)
)
sys.exit(1)
except Exception as e:
print(json.dumps({"success": False, "error": str(e)}))
sys.exit(1)
if __name__ == "__main__":
main()