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Commit ·
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Parent(s):
chore: initialize backend project config
Browse files- .env.example +5 -0
- .gitattributes +4 -0
- .gitignore +11 -0
- models/README.md +14 -0
- outputs/.gitkeep +1 -0
- pyproject.toml +30 -0
- requirements.txt +14 -0
- uploads/.gitkeep +1 -0
- uv.lock +0 -0
.env.example
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SERVICE_NAME="BitCheck Image Verification API"
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MAX_UPLOAD_BYTES=12582912
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MODEL_PATH="models/image_detector.pth"
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MODEL_ARCH="efficientnet_b0"
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LOG_LEVEL="INFO"
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.gitattributes
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*.keras filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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.gitignore
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.venv/
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venv/
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__pycache__/
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*.py[cod]
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.env
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uploads/*
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!uploads/.gitkeep
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outputs/*
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!outputs/.gitkeep
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models/README.md
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# BitCheck Models
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Place a fine-tuned PyTorch binary image detector at:
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```text
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models/image_detector.pth
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```
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The current backend expects an EfficientNet-B0 architecture with a two-class classifier:
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- class 0: real/authentic
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- class 1: AI-generated/synthetic
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If this file is missing, BitCheck starts in `untrained_placeholder` mode. The rest of the verification pipeline still runs, but model probabilities are marked as unreliable in the API response.
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outputs/.gitkeep
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pyproject.toml
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[project]
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name = "bitcheck-ai-backend"
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version = "0.1.0"
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description = "BitCheck image verification backend"
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requires-python = ">=3.10"
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dependencies = [
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"fastapi>=0.115.0",
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"uvicorn[standard]>=0.30.0",
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"python-multipart>=0.0.9",
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"pydantic>=2.7.0",
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"pydantic-settings>=2.3.0",
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"torch>=2.2.0",
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"torchvision>=0.17.0",
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"Pillow>=10.3.0",
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"opencv-python-headless>=4.9.0.80",
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"numpy>=1.26.0",
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"pytesseract>=0.3.10",
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]
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[tool.uv]
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package = false
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[tool.uv.sources]
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torch = { index = "pytorch-cpu" }
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torchvision = { index = "pytorch-cpu" }
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[[tool.uv.index]]
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name = "pytorch-cpu"
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url = "https://download.pytorch.org/whl/cpu"
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explicit = true
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requirements.txt
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--index-url https://download.pytorch.org/whl/cpu
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--extra-index-url https://pypi.org/simple
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fastapi>=0.115.0
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uvicorn[standard]>=0.30.0
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python-multipart>=0.0.9
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pydantic>=2.7.0
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pydantic-settings>=2.3.0
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torch>=2.2.0
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torchvision>=0.17.0
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Pillow>=10.3.0
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opencv-python-headless>=4.9.0.80
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numpy>=1.26.0
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pytesseract>=0.3.10
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uploads/.gitkeep
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uv.lock
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