MythEclipse
f9bd991bdf
- Integrate Convolutional Block Attention Module (CBAM) for improved feature focus - Implement temperature scaling and confidence-based status reporting - Automate dataset acquisition using kagglehub - Update ONNX opset to 18 and refine preprocessing validation
60 lines
1.5 KiB
Rust
60 lines
1.5 KiB
Rust
mod config;
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mod error;
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mod image;
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mod model;
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mod routes;
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mod telemetry;
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use anyhow::Result;
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use config::Config;
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use model::ModelService;
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use routes::{router, AppState};
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use std::sync::Arc;
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use tokio::net::TcpListener;
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use tracing_subscriber::EnvFilter;
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#[tokio::main]
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async fn main() -> Result<()> {
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// Initialize tracing subscriber with EnvFilter
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tracing_subscriber::fmt()
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.with_env_filter(EnvFilter::from_default_env())
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.init();
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// Load configuration from environment
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let config = Config::from_env()?;
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// Create ModelService with calibration and wrap in Arc
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let model = Arc::new(ModelService::with_calibration(
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&config.model_path,
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config.input_size,
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config.temperature,
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config.conf_threshold_high,
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config.conf_threshold_low,
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));
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tracing::info!(
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model_loaded = model.is_loaded(),
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model_path = ?config.model_path,
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temperature = config.temperature,
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conf_high = config.conf_threshold_high,
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conf_low = config.conf_threshold_low,
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"Model service initialized"
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);
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// Set model load status metric
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telemetry::model_load_status().set(if model.is_loaded() { 1.0 } else { 0.0 });
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// Create AppState
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let state = AppState { model };
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// Bind TcpListener to host:port
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let addr = format!("{}:{}", config.host, config.port);
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let listener = TcpListener::bind(&addr).await?;
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tracing::info!(address = %addr, "Server listening");
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// Serve with Axum
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axum::serve(listener, router(state)).await?;
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Ok(())
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}
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