burn_dino
| Crates.io | burn_dino |
| lib.rs | burn_dino |
| version | |
| source | src |
| created_at | 2024-11-22 19:34:42.525092 |
| updated_at | 2024-11-23 05:06:18.666316 |
| description | burn dinov2 model inference and training |
| homepage | https://github.com/mosure/burn_dino |
| repository | https://github.com/mosure/burn_dino |
| max_upload_size | |
| id | 1457646 |
| Cargo.toml error: | TOML parse error at line 27, column 1 | 27 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include` |
| size | 0 |
Mitchell Mosure (mosure)
documentation
README
burn_dino 🔥🦖
burn dinov2 model, view the live demo
| input | fg pca |
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cargo run --example pca
cargo run -p bevy_burn_dino
features
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inference
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pca transform layer
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all ViT configurations
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real-time camera demo
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training (loss + dropout)
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optimized attention
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automatic weights cache/download
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quantization
setup
- download pre-trained model (ViT-S|B, /wo registers) from here
- place in
./assets/models - run import tool
cargo run --bin import
benchmarks
cargo bench- open
target/criterion/report/index.html