tao-analyze-gaps-visual-changenet

Maintained by nvidia

Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TAO data-services container directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstr

Current version: Unknown
License: Apache-2.0
Network access: Unknown / not assessed
Review status: Not verified

Problem it solves

This catalog entry helps users find and evaluate tao-analyze-gaps-visual-changenet for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider tao-analyze-gaps-visual-changenet when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

tao-analyze-gaps-visual-changenet is listed as an agent skill in RefHub. The listed maintainer is nvidia. The available catalog summary is: Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TAO data-services container directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstr When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

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Install command

npx skills add nvidia/skills --skill tao-analyze-gaps-visual-changenet -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.