source/requirements.txt

# Cross-platform base + platform-gated conversion backends.
#
# openvino has NO arm64-macOS wheel (Intel/x86 Linux/Windows only), so installing
# it unconditionally aborts the WHOLE pip install on an Apple-Silicon agent and
# model-studio crash-loops on boot. coremltools is macOS-only. pip evaluates
# these environment markers per host, so a Mac agent installs the CoreML backend
# and skips OpenVINO, while a Linux/Windows agent does the reverse — convert_lib
# imports each backend lazily, matching whatever this host provides.
numpy
opencv-python-headless
onnx
openvino>=2025,<2026 ; platform_system != "Darwin"
nncf>=2.14 ; platform_system != "Darwin"
coremltools>=8.0,<9 ; platform_system == "Darwin"
# coremltools dropped the ONNX frontend, so ONNX->CoreML bridges through PyTorch
# (onnx2torch rebuilds the graph as an nn.Module → trace → ct.convert). macOS-only,
# matching coremltools; convert_lib imports them lazily inside the CoreML path.
# torch upper-bounded to what coremltools 8.x has tested (≤2.5); newer torch
# trips "has not been tested" + unimplemented-op converter errors.
torch>=2.2,<2.6 ; platform_system == "Darwin"
onnx2torch>=1.5 ; platform_system == "Darwin"
# onnx-simplifier constant-folds dynamic Shape ops (pinned input) so YOLO-style
# graphs trace to a static module coremltools can lower.
onnxsim>=0.4 ; platform_system == "Darwin"