pyproject.toml

[project]
name = "qdrant-edge-memory-robot"
version = "0.1.0"
license = "Apache-2.0"
license-files = ["LICENSE"]
requires-python = ">=3.12"
dependencies = [
    # Generates the local HTTPS certificate without requiring an OpenSSL
    # executable, which is not included with Windows.
    "cryptography>=46.0.0",
    # The encoder stack is pinned exactly: the 0.90 recognition threshold is
    # calibrated against these exact encoders. Changing one moves every score.
    "fastembed==0.8.0",
    "numpy==2.5.1",
    "onnx-asr==0.12.0",
    "onnxruntime==1.27.0",
    "qdrant-edge-py==0.7.2",
    # Robot-only pieces: camera, detector, tracker, mic.
    "lap>=0.5.13",
    "opencv-python>=5.0.0.93",
    "pyobjc-core>=12.2.1; sys_platform == 'darwin'",  # macOS-only MPS leak fix; no Linux wheels exist
    "python-dotenv>=1.2.2",  # reads .env, where the per-camera thresholds live
    "sounddevice>=0.5.5",
    "ultralytics>=8.4.96",
    # Ultralytics would pull Torch in transitively, letting a resolver pick the
    # build. Pin it instead: these are the versions the detector is tested on,
    # including the stock CUDA wheel used on the Jetson Orin.
    "torch==2.13.0",
    "torchvision==0.28.0",
]