機械学習でC++の代わりにRustの開発環境構築

機械学習でC++の代わりのコンパイル言語の『Rust』の開発環境を構築したのでその備忘録。

目次
1.ubuntuでJupyter notebook
2. opencvでカメラを使ってみる

1.ubuntuでJupyter notebook

# rustをubuntuにinstall
curl https://sh.rustup.rs -sSf | sh
source $HOME/.cargo/env
cargo --version
## cargo 1.67.1

# rust & cargo install
$ rustup install nightly
$ rustup default nightly

# Evcxr Jupyter のinstall
rustup component add rust-src
evcxr_jupyter --install
rustup component add rust-src
sudo apt install jupyter-notebook cmake build-essential
cargo install evcxr_jupyter
evcxr_jupyter --install

# 起動
jupyter notebook

うまく動いた。

use std::fmt::Debug;
pub struct Matrix<T> {pub values: Vec<T>, pub row_size: usize}
impl<T: Debug> Matrix<T> {
    pub fn evcxr_display(&self) {
        let mut html = String::new();
        html.push_str("<table>");
        for r in 0..(self.values.len() / self.row_size) {
            html.push_str("<tr>");
            for c in 0..self.row_size {
                html.push_str("<td>");
                html.push_str(&format!("{:?}", self.values[r * self.row_size + c]));
                html.push_str("</td>");
            }
            html.push_str("</tr>");
        }
        html.push_str("</table>");
        println!("EVCXR_BEGIN_CONTENT text/html\n{}\nEVCXR_END_CONTENT", html);
    }
}
let m = Matrix {values: vec![1,2,3,4,5,6,7,8,9], row_size: 3};

2. opencvでカメラを使ってみる

opencvを使ったrustのタスクをしてみる

# rustのtaskを作成
# binary で作る
cargo new --bin rust-opencv
cd rust-opencv

opencvのversionを調べる
googleから「carates.io」にアクセスしてopencvで検索。

最新のversionを確認。Cargo.tomlに追記

Cargo.toml

[package]
name = "rust-opencv"
version = "0.1.0"
edition = "2021"

# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

[dependencies]
opencv = "0.77.0"

main.rs

use opencv::{highgui, prelude::*, videoio, Result};
fn main() -> Result<()> {
	let window = "video capture";
	highgui::named_window(window, highgui::WINDOW_AUTOSIZE)?;
	let mut cam = videoio::VideoCapture::new(0, videoio::CAP_ANY)?; // 0 is the default camera
	let opened = videoio::VideoCapture::is_opened(&cam)?;
	if !opened {
		panic!("Unable to open default camera!");
	}
	loop {
		let mut frame = Mat::default();
		cam.read(&mut frame)?;
		if frame.size()?.width > 0 {
			highgui::imshow(window, &frame)?;
		}
		let key = highgui::wait_key(10)?;
		if key > 0 && key != 255 {
			break;
		}
	}
	Ok(())
}

## コンパイル
$ cargo run
#Compiling rust-opencv v0.1.0 (/home/parallels/rust-opencv)
#    Finished dev [unoptimized + debuginfo] target(s) in 4.24s
#     Running `target/debug/rust-opencv`
#[ WARN:0] global ./modules/videoio/src/cap_gstreamer.cpp (1100) open #OpenCV | GStreamer warning: Cannot query video position: #status=0, #value=-1, duration=-1

動いた。