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ImageAnalysisProject
ImageAnalysisProject contiene 6 skills recopiladas de arjunrajlaboratory, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Runtime NimbusImage/Girder API reference for worker code. Use for image loading, annotation CRUD, property values, channel merging, coordinate conversions, local API tests, or infrastructure errors such as HTTP 500. Use nimbus-worker-scaffold to create a new worker and nimbus-worker-hardening to diagnose or sweep failures in existing workers.
Harden existing NimbusImage workers by diagnosing production crashes, generalizing the failure, sweeping sibling workers, and adding shared regression coverage. Use for stack traces or requests such as harden, make robust, fix and apply to all workers, or audit siblings; especially IndexRange, channelCheckboxes, geometry, batch-coordinate, tags, and dependency failures. Use nimbus-worker-scaffold for new workers and nimbus-interface for API reference.
Scaffold a new NimbusImage Docker worker end to end, including entrypoint, Dockerfiles and GPU labels, tests, Compose registration, WORKERNAME.md, and REGISTRY.md. Use when adding, creating, or porting a new annotation, property, image-processing, ML, or test worker. Use nimbus-worker-hardening for existing-worker fixes and nimbus-interface for runtime API details.
Runtime NimbusImage/Girder API reference for worker code. Use for image loading, annotation CRUD, property values, channel merging, coordinate conversions, local API tests, or infrastructure errors such as HTTP 500. Use nimbus-worker-scaffold to create a new worker and nimbus-worker-hardening to diagnose or sweep failures in existing workers.
Harden existing NimbusImage workers by diagnosing production crashes, generalizing the failure, sweeping sibling workers, and adding shared regression coverage. Use for stack traces or requests such as harden, make robust, fix and apply to all workers, or audit siblings; especially IndexRange, channelCheckboxes, geometry, batch-coordinate, tags, and dependency failures. Use nimbus-worker-scaffold for new workers and nimbus-interface for API reference.
Scaffold a new NimbusImage Docker worker end to end, including entrypoint, Dockerfiles and GPU labels, tests, Compose registration, WORKERNAME.md, and REGISTRY.md. Use when adding, creating, or porting a new annotation, property, image-processing, ML, or test worker. Use nimbus-worker-hardening for existing-worker fixes and nimbus-interface for runtime API details.