INNER CODE UNIT · Python

MAX_UPLOAD_SIZE

virajmavani/semi-auto-image-annotation-tool · web/backend/main.py:49

MAX_UPLOAD_SIZE = 50 * 1024 * 1024

# Paths
_DATA_DIR = Path.home() / ".anno-mage"
UPLOAD_DIR = _DATA_DIR / "uploads"
ANNOTATIONS_DIR = Path.cwd() / "annotations"
SNAPSHOTS_DIR = Path(os.environ.get("ANNO_MAGE_SNAPSHOTS", str(Path.cwd() / "snapshots")))
UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
ANNOTATIONS_DIR.mkdir(parents=True, exist_ok=True)

# Available models configuration
AVAILABLE_MODELS = {
    "retinanet": {
        "name": "RetinaNet ResNet50 FPN V2",
        "description": "Default PyTorch RetinaNet model (COCO pre-trained)",
        "type": "retinanet",
        "weights_path": None,
        "framework": "pytorch",

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