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SkillsMP a collecté 12 skills depuis open-edge-platform/geti. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 12 skills collectés sur 12.
Develop and validate changes in `application/ui/` for the React and TypeScript frontend. Use when touching `application/ui/src/**`, frontend tests, RSBuild or Vitest config, Playwright setup, package scripts, or generated API typings under `src/api`. Helps…
Langue du texte source : anglais
Develop and validate changes in `application/backend/` for the FastAPI `geti` service. Use when touching `application/backend/app/**`, backend tests, backend packaging, backend configuration, API routers, schemas, services, repositories, or database code, or…
Langue du texte source : anglais
Update documentation (README, CHANGELOG, Sphinx docs, or inline docstrings) to reflect changes, fixes, or new features. Use when a PR modifies behavior that should be documented for users or developers.
Langue du texte source : anglais
Regenerate and validate the OpenAPI contract between `application/backend/` and `application/ui/`. Use when backend endpoints, schemas, request or response models, or API surface change, or when `application/ui/src/api/openapi-spec.json` or…
Langue du texte source : anglais
Use the Geti application end to end through its REST API — the project → dataset → annotate → train → deploy pipeline served by the FastAPI backend in `application/backend/`. Use when a user (not a contributor) wants to create a project, upload media, add…
Langue du texte source : anglais
Develop and validate changes in `library/` for the `getitune` Python package (the Geti training library). Use when touching `library/src/**`, `library/tests/**`, `library/pyproject.toml`, recipes, model manifests, or any Python API, CLI, model, training,…
Langue du texte source : anglais
Discover which models, recipes, and tasks the getitune library (the Geti training library) supports before training. Use when a user asks what models are available, how to list recipes, how to filter by task or name pattern, how `list_models(...)` and…
Langue du texte source : anglais
Export a trained getitune model (the Geti training library) to a deployable format. Use when a user wants to run `engine.export(...)` or `getitune export`, choose between OpenVINO IR and ONNX, set FP32 vs FP16 precision with `ExportFormat` / `Precision`, or…
Langue du texte source : anglais
Optimize an exported getitune model (the Geti training library) with post-training quantization. Use when a user wants to run `OVEngine.optimize()` / `engine.optimize()` to produce an INT8 model via NNCF, understands calibration-set requirements, or needs to…
Langue du texte source : anglais
Prepare and point datasets at the getitune library (the Geti training library) for training, testing, and prediction. Use when a user asks which dataset formats are supported, how the `data=` argument of `create_engine(...)` / `--data_root` works, why format…
Langue du texte source : anglais
Run inference and evaluation with a getitune model (the Geti training library). Use when a user wants to call `engine.predict()` / `engine.test()` or `getitune predict` / `getitune test`, run inference with a PyTorch checkpoint versus an exported OpenVINO IR…
Langue du texte source : anglais
Train a computer-vision model with the getitune library (the Geti training library) using its Python API or CLI. Use when a user wants to train, fine-tune, or evaluate a model with `create_engine(...)` and `engine.train()/engine.test()`, run `getitune…
Langue du texte source : anglais