object_detector 0.1.1

Object detection using ORT and the yoloe-26-seg model. This model can detect multiple objects per image, each having a tag, pixel-level mask, and a boundingbox. It's pretrained, it has a vocabulary of 4000+ objects.
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"
name = "object_detector"
version = "0.1.1"
build = false
exclude = [
    "assets",
    ".github",
    "TODO.md",
    "justfile",
]
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Object detection using ORT and the yoloe-26-seg model. This model can detect multiple objects per image, each having a tag, pixel-level mask, and a boundingbox. It's pretrained, it has a vocabulary of 4000+ objects. "
homepage = "https://github.com/RuurdBijlsma/object_detector-rs"
documentation = "https://docs.rs/object_detector"
readme = "README.md"
license = "AGPL-3.0"
repository = "https://github.com/RuurdBijlsma/object_detector-rs"

[features]
acl = ["ort/acl"]
armnn = ["ort/armnn"]
azure = ["ort/azure"]
cann = ["ort/cann"]
copy-dylibs = ["ort/copy-dylibs"]
coreml = ["ort/coreml"]
cuda = ["ort/cuda"]
default = ["load-dynamic"]
directml = ["ort/directml"]
download-binaries = ["ort/download-binaries"]
load-dynamic = ["ort/load-dynamic"]
migraphx = ["ort/migraphx"]
nnapi = ["ort/nnapi"]
nvrtx = ["ort/nvrtx"]
onednn = ["ort/onednn"]
openvino = ["ort/openvino"]
qnn = ["ort/qnn"]
rknpu = ["ort/rknpu"]
tensorrt = ["ort/tensorrt"]
tvm = ["ort/tvm"]
vitis = ["ort/vitis"]
webgpu = ["ort/webgpu"]
xnnpack = ["ort/xnnpack"]

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

[[bin]]
name = "object_detector"
path = "src/main.rs"

[[example]]
name = "export_outputs"
path = "examples/export_outputs.rs"

[[test]]
name = "regression"
path = "tests/regression.rs"

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

[dependencies.color-eyre]
version = "0.6.5"

[dependencies.image]
version = "0.25.10"

[dependencies.ndarray]
version = "0.17.2"

[dependencies.num_cpus]
version = "1.17.0"

[dependencies.ort]
version = "2.0.0-rc.12"
features = ["ndarray"]

[dependencies.serde_json]
version = "1.0"

[dev-dependencies.criterion]
version = "0.8.2"
features = ["html_reports"]

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