Implement the Vida detection algorithm for meteor and fireball detection based on the RMS/CMN paper. Key features: - Frame accumulator: 256-frame FTP compression (maxpixel, avepixel, stdpixel, maxframe) - Meteor detector: K1=1.5 threshold, Hough transform, temporal propagation verification - Fireball detector: K1=4 threshold, 3D point cloud analysis for very bright meteors - Binary image downsampling with OR operation to preserve trajectory connectivity - Star extraction for astrometric calibration - FTPdetect format output for interoperability with RMS tools - test-vida CLI command for testing detection on video files Performance optimizations: - Binary image downsampling instead of FTP downsampling (fixes false positives) - Inline centroid calculation with bounding box scan - ~100ms/block processing time (down from 377ms) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
78 lines
2.0 KiB
TOML
78 lines
2.0 KiB
TOML
[package]
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name = "meteor-edge-client"
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version = "0.1.0"
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edition = "2021"
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default-run = "meteor-edge-client"
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[features]
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default = []
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# Production hardware features
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hardware_camera = []
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opencv_integration = []
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# Debug and development features
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debug_logging = []
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performance_profiling = []
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[dependencies]
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clap = { version = "4.0", features = ["derive"] }
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reqwest = { version = "0.11", features = ["json", "multipart", "rustls-tls"], default-features = false }
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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toml = "0.8"
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tokio = { version = "1.0", features = ["full"] }
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anyhow = "1.0"
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thiserror = "1.0"
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dirs = "5.0"
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chrono = { version = "0.4", features = ["serde"] }
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tracing = "0.1"
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tracing-subscriber = { version = "0.3", features = ["json", "chrono", "env-filter"] }
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tracing-appender = "0.2"
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uuid = { version = "1.0", features = ["v4"] }
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flate2 = "1.0"
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bytes = "1.5"
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lazy_static = "1.4"
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sys-info = "0.9"
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libc = "0.2"
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hostname = "0.3"
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num_cpus = "1.16"
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# Device registration and security dependencies
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sha2 = "0.10"
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base64 = "0.22"
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hmac = "0.12"
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rand = { version = "0.8", features = ["small_rng"] }
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jsonwebtoken = { version = "9.2", default-features = false }
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hex = "0.4"
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ring = "0.17"
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rustls = { version = "0.23", features = ["ring"] }
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rustls-pemfile = "2.0"
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x509-parser = "0.16"
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qrcode = "0.14"
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image = "0.24"
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# Network and WebSocket
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tungstenite = { version = "0.21", features = ["rustls-tls-native-roots"] }
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tokio-tungstenite = { version = "0.21", features = ["rustls-tls-native-roots"] }
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futures-util = "0.3"
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http = "1.0"
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# Hardware fingerprinting
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sysinfo = "0.30"
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mac_address = "1.1"
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# opencv = { version = "0.88", default-features = false } # Commented out for demo - requires system OpenCV installation
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# Camera interface dependencies
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async-trait = "0.1"
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# Optional video processing backends
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[target.'cfg(windows)'.dependencies]
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winapi = { version = "0.3", features = ["memoryapi", "winnt", "handleapi"] }
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[dev-dependencies]
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tempfile = "3.0"
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futures = "0.3"
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[[bin]]
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name = "test-fingerprint"
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path = "src/test_fingerprint.rs"
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