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https://github.com/ruvnet/RuView
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ruv
22ca3da48c
- cog-person-count: no path deps, clean publish. - cog-pose-estimation: added explicit version="0.3.1" to the wifi-densepose-train path dep (crates.io rejects path-only deps). - cog-ha-matter: keeps publish=false; the published wifi-densepose-sensing-server@0.3.0 does not expose the `mqtt` feature this cog requires. Note added inline; republish sensing-server with the feature exposed before dropping the flag. Co-Authored-By: claude-flow <ruv@ruv.net>
42 lines
1.2 KiB
TOML
42 lines
1.2 KiB
TOML
[package]
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name = "cog-person-count"
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version.workspace = true
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edition.workspace = true
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authors.workspace = true
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license.workspace = true
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repository.workspace = true
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description = "Cognitum Cog: learned multi-person counter from WiFi CSI (ADR-103). Replaces the PR #491 slot heuristic with a Candle-based count head + Stoer-Wagner multi-node fusion."
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[[bin]]
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name = "cog-person-count"
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path = "src/main.rs"
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[lib]
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name = "cog_person_count"
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path = "src/lib.rs"
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[dependencies]
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clap = { version = "4", features = ["derive"] }
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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thiserror = "1"
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tracing = "0.1"
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tracing-subscriber = { version = "0.3", features = ["env-filter"] }
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tokio = { version = "1", features = ["rt-multi-thread", "macros", "signal", "time"] }
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sha2 = "0.10"
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ureq = { version = "2", default-features = false, features = ["tls"] }
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# Same Candle stack the pose cog uses — CPU by default, `cuda` feature
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# opt-in for hosts with a CUDA GPU.
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candle-core = { version = "0.9", default-features = false }
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candle-nn = { version = "0.9", default-features = false }
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safetensors = "0.4"
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[dev-dependencies]
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tempfile = "3"
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approx = "0.5"
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[features]
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default = []
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cuda = ["candle-core/cuda", "candle-nn/cuda"]
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hailo = []
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