[package]
name = "dr-pano"
version.workspace = true
edition.workspace = true
rust-version.workspace = true
license.workspace = true
# Guards against a Git LFS pointer being embedded in place of the weights.
build = "build.rs"

[dependencies]
thiserror.workspace = true
log.workspace = true

# Inference for the learned keypoint detector, on the same footing as
# `dr-segment`: `ort` is the API, `dr-inference-engine` decides what runs
# it (docs/inference.md), and both are optional so that the geometry —
# matching, the rotation solve, the projections — is a dependency-free crate
# that tests without a model.
ort = { workspace = true, optional = true }
dr-inference-engine = { workspace = true, optional = true }
ndarray = { workspace = true, optional = true }

[dev-dependencies]
# The example aligns real frames from their embedded previews.
dr-decode.workspace = true
dr-types.workspace = true
env_logger.workspace = true

[features]
default = ["xfeat", "embedded-model"]

# The XFeat detector (FR-MRG-8). Off, the crate has no model and no runtime,
# and `Detector` has no implementation — a build that only wants the geometry.
xfeat = ["dep:ort", "dep:dr-inference-engine", "dep:ndarray"]

# Compile the weights into the binary, for the same reason `dr-segment` does:
# Android hands the app no path to read a model from (ARCH §6.9).
embedded-model = ["xfeat"]