[[example]]
name = "yolo_v3_tiny"
[[example]]
name = "yolo_v4_tiny"
[[example]]
name = "yolo_v7_tiny"
[[example]]
name = "yolo_v8_n"
[dependencies.lazy_static]
version = "1.4.0"
[dependencies.opencv]
default-features = false
features = ["dnn", "imgcodecs", "imgproc"]
version = "0.66"
[lib]
name = "od_opencv"
path = "src/lib.rs"
[package]
authors = ["Dimitrii Lopanov <sexykdi@gmail.com>"]
categories = ["algorithms", "neural-networks", "computer-vision", "mathematics", "science"]
description = "Object detection utilities in Rust programming language for YOLO-based neural networks in OpenCV ecosystem"
documentation = "https://docs.rs/object-detection-opencv-rust"
edition = "2021"
exclude = ["/.github", "/ci", "/tools", "release.toml", "rustfmt.toml", "download_v3_tiny.sh", "download_v4_tiny.sh", "download_v7_tiny.sh", "download_v8_n.sh", "/images", "/pretrained"]
homepage = "https://github.com/LdDl/object-detection-opencv-rust"
keywords = ["computer-vision", "object-detection", "yolo", "opencv", "yolo-v8"]
license = "MIT"
name = "object-detection-opencv-rust"
readme = "README.md"
repository = "https://github.com/LdDl/object-detection-opencv-rust"
version = "0.1.0"