mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
Siddharth Kumar Sah
2bdc367767
- Switch default from birefnet-general (973MB, 4min) to birefnet-general-lite (faster, still SOTA quality) - Fix Python script stdout pollution — progress messages now go to stderr so the JSON result parser doesn't break - Pre-download birefnet-general-lite in Docker build
79 lines
2.3 KiB
Python
79 lines
2.3 KiB
Python
"""Background removal using rembg with state-of-the-art BiRefNet models."""
|
|
import sys
|
|
import json
|
|
|
|
|
|
def main():
|
|
input_path = sys.argv[1]
|
|
output_path = sys.argv[2]
|
|
settings = json.loads(sys.argv[3]) if len(sys.argv) > 3 else {}
|
|
|
|
model = settings.get("model", "birefnet-general-lite")
|
|
bg_color = settings.get("backgroundColor", "")
|
|
|
|
try:
|
|
from rembg import remove, new_session
|
|
import io
|
|
|
|
# Progress messages go to stderr (stdout reserved for JSON result)
|
|
sys.stderr.write(f"Loading model: {model}\n")
|
|
sys.stderr.flush()
|
|
|
|
session = new_session(model)
|
|
|
|
sys.stderr.write("Processing image...\n")
|
|
sys.stderr.flush()
|
|
|
|
with open(input_path, "rb") as f:
|
|
input_data = f.read()
|
|
|
|
# Try with alpha matting for better edges, fall back without
|
|
try:
|
|
output_data = remove(
|
|
input_data,
|
|
session=session,
|
|
alpha_matting=True,
|
|
alpha_matting_foreground_threshold=240,
|
|
alpha_matting_background_threshold=10,
|
|
)
|
|
except Exception:
|
|
output_data = remove(input_data, session=session)
|
|
|
|
# If a background color is specified, composite onto it
|
|
if bg_color and bg_color.startswith("#"):
|
|
from PIL import Image
|
|
|
|
img = Image.open(io.BytesIO(output_data)).convert("RGBA")
|
|
hex_color = bg_color.lstrip("#")
|
|
r = int(hex_color[0:2], 16)
|
|
g = int(hex_color[2:4], 16)
|
|
b = int(hex_color[4:6], 16)
|
|
bg = Image.new("RGBA", img.size, (r, g, b, 255))
|
|
bg.paste(img, mask=img.split()[3])
|
|
buf = io.BytesIO()
|
|
bg.save(buf, format="PNG")
|
|
output_data = buf.getvalue()
|
|
|
|
with open(output_path, "wb") as f:
|
|
f.write(output_data)
|
|
|
|
print(json.dumps({"success": True, "model": model}))
|
|
|
|
except ImportError:
|
|
print(
|
|
json.dumps(
|
|
{
|
|
"success": False,
|
|
"error": "rembg is not installed. Install with: pip install rembg[cpu]",
|
|
}
|
|
)
|
|
)
|
|
sys.exit(1)
|
|
except Exception as e:
|
|
print(json.dumps({"success": False, "error": str(e)}))
|
|
sys.exit(1)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|