yscv-eval 0.1.5

Evaluation metrics (mAP, MOTA, HOTA) and dataset adapters
Documentation 
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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2024"
rust-version = "1.92"
name = "yscv-eval"
version = "0.1.5"
authors = ["yscv contributors"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Evaluation metrics (mAP, MOTA, HOTA) and dataset adapters"
readme = false
keywords = [
    "tensor",
    "simd",
    "deep-learning",
    "image-processing",
    "neon",
]
categories = [
    "computer-vision",
    "science",
    "algorithms",
    "multimedia",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/nickstienz/yscv"
resolver = "2"

[lib]
name = "yscv_eval"
path = "src/lib.rs"

[[bench]]
name = "eval_metrics_ops"
path = "benches/eval_metrics_ops.rs"
harness = false

[dependencies.csv]
version = "1.3"

[dependencies.roxmltree]
version = "0.20"

[dependencies.serde]
version = "1.0"
features = ["derive"]

[dependencies.serde_json]
version = "1.0"

[dependencies.thiserror]
version = "2"

[dependencies.yscv-detect]
version = "0.1"

[dependencies.yscv-track]
version = "0.1"

[dev-dependencies.criterion]
version = "0.5"
features = ["cargo_bench_support"]
default-features = false

[lints.clippy]
if_same_then_else = "allow"
large_enum_variant = "allow"
needless_range_loop = "allow"
new_without_default = "allow"
should_implement_trait = "allow"
too_many_arguments = "allow"
type_complexity = "allow"

[lints.rust]
unsafe_code = "deny"