mirror of
https://github.com/ruvnet/RuView
synced 2026-07-20 17:03:24 +00:00
rUv
f49c722764
The Rust port lived two directories deep (rust-port/wifi-densepose-rs/) without any sibling under rust-port/ that warranted the extra level. Move the whole workspace up to v2/ to match v1/ (Python) at the same depth and shorten every cd / build command across the repo. git mv preserves history for all tracked files. 60 files updated for path references (CI workflows, ADRs, docs, scripts, READMEs, internal .claude-flow state). Two manual fixes for relative-cd paths in CLAUDE.md and ADR-043 that became wrong after the depth change (cd ../.. → cd ..). Validated: - cargo check --workspace --no-default-features → clean (after target/ nuke; the gitignored target/ was carried by the OS rename and had hard-coded old paths in build scripts) - cargo test --workspace --no-default-features → 1,539 passed, 0 failed, 8 ignored (same totals as pre-rename) - ESP32-S3 on COM7 → still streaming live CSI (cb #40300, RSSI -64 dBm) After-merge follow-up: contributors should `rm -rf v2/target` once and let cargo regenerate from the new path.
61 lines
1.4 KiB
TOML
61 lines
1.4 KiB
TOML
[package]
|
|
name = "wifi-densepose-nn"
|
|
version.workspace = true
|
|
edition.workspace = true
|
|
authors.workspace = true
|
|
license.workspace = true
|
|
repository.workspace = true
|
|
documentation.workspace = true
|
|
keywords = ["neural-network", "onnx", "inference", "densepose", "deep-learning"]
|
|
categories = ["science", "computer-vision"]
|
|
description = "Neural network inference for WiFi-DensePose pose estimation"
|
|
readme = "README.md"
|
|
|
|
[features]
|
|
default = ["onnx"]
|
|
onnx = ["ort"]
|
|
tch-backend = ["tch"]
|
|
candle-backend = ["candle-core", "candle-nn"]
|
|
cuda = ["onnx"]
|
|
tensorrt = ["onnx"]
|
|
all-backends = ["onnx", "tch-backend", "candle-backend"]
|
|
|
|
[dependencies]
|
|
# Core utilities
|
|
thiserror.workspace = true
|
|
anyhow.workspace = true
|
|
serde.workspace = true
|
|
serde_json.workspace = true
|
|
tracing.workspace = true
|
|
|
|
# Tensor operations
|
|
ndarray.workspace = true
|
|
num-traits.workspace = true
|
|
|
|
# ONNX Runtime (default)
|
|
ort = { workspace = true, optional = true }
|
|
|
|
# PyTorch backend (optional)
|
|
tch = { workspace = true, optional = true }
|
|
|
|
# Candle backend (optional)
|
|
candle-core = { workspace = true, optional = true }
|
|
candle-nn = { workspace = true, optional = true }
|
|
|
|
# Async runtime
|
|
tokio = { workspace = true, features = ["sync", "rt"] }
|
|
|
|
# Additional utilities
|
|
parking_lot = "0.12"
|
|
memmap2 = "0.9"
|
|
|
|
[dev-dependencies]
|
|
criterion.workspace = true
|
|
proptest.workspace = true
|
|
tokio = { workspace = true, features = ["rt-multi-thread", "macros"] }
|
|
tempfile = "3.10"
|
|
|
|
[[bench]]
|
|
name = "inference_bench"
|
|
harness = false
|