mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
- Add user management endpoints (register, list, delete, change password) - Add API key management (create, list, delete) - Add settings persistence endpoints (get, put) - Wire settings dialog to real backend (People, API Keys, System, Security) - Fix login auth flow (window.location.href for full reload) - Fix download URLs returning 401 (make public since UUIDs are unguessable) - Fix border tool shadowColor validation (accept 6-8 hex digits) - Fix remove-bg alpha matting fallback (retry without on failure) - Fix AI tool silent fallbacks (report errors instead of no-ops) - Add checkerboard background to before/after slider for transparency - Add progress bars to all AI tool components - Add Playwright E2E test suite (131 tests across 9 test files) - Rewrite Dockerfile for production (tsx runtime, pre-baked AI models) - Add .dockerignore for faster builds - Add proper accessible labels to login form
79 lines
2.4 KiB
Python
79 lines
2.4 KiB
Python
"""Object erasing / inpainting using LaMa or simple fallback."""
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import sys
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import json
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def main():
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input_path = sys.argv[1]
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mask_path = sys.argv[2]
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output_path = sys.argv[3]
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try:
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from PIL import Image
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try:
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# Try lama-cleaner if available
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from lama_cleaner.model_manager import ModelManager
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from lama_cleaner.schema import Config
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img = Image.open(input_path).convert("RGB")
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mask = Image.open(mask_path).convert("L")
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# Resize mask to match image if needed
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if mask.size != img.size:
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mask = mask.resize(img.size, Image.NEAREST)
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import numpy as np
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img_array = np.array(img)
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mask_array = np.array(mask)
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model_manager = ModelManager(name="lama", device="cpu")
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config = Config(
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ldm_steps=25,
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ldm_sampler="plms",
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hd_strategy="Original",
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hd_strategy_crop_margin=128,
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hd_strategy_crop_trigger_size=800,
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hd_strategy_resize_limit=800,
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)
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result = model_manager(img_array, mask_array, config)
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Image.fromarray(result).save(output_path)
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method = "lama"
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except ImportError:
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# LaMa not available — report error instead of silently copying
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print(
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json.dumps(
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{
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"success": False,
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"error": "Object eraser requires the lama-cleaner package. Install with: pip install lama-cleaner",
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}
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)
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)
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sys.exit(1)
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except Exception as e:
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# LaMa installed but processing failed — still report error
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print(json.dumps({"success": False, "error": f"Inpainting failed: {str(e)}"}))
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sys.exit(1)
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print(json.dumps({"success": True, "method": method}))
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except ImportError:
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print(
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json.dumps(
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{
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"success": False,
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"error": "Pillow is not installed. Install with: pip install Pillow",
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}
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)
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)
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sys.exit(1)
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except Exception as e:
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print(json.dumps({"success": False, "error": str(e)}))
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sys.exit(1)
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if __name__ == "__main__":
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main()
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