diagnose-camera-stack

Diagnose HikRobot, MindVision, or USB camera discovery, SDK, streaming, frame, and frame-rate failures in this repository. Use when camera initialization fails, frames are empty, FPS is wrong, or exposure/gain/VID-PID settings look suspect.

Ir a la instalación

Repositorio: HNUST-Dust/Dust_infantry_vision
Última actividad en el origen: 7 de agosto de 2026 a las 07:40
Idioma detectado de SKILL.md: inglés
Estrellas: 4
Forks: 1

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

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npx skills add https://github.com/HNUST-Dust/Dust_infantry_vision --skill diagnose-camera-stack

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Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

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SKILL.md

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audit-vision-config

Audit YAML, model paths, OpenVINO device selection, camera and serial settings, and camera/gimbal calibration values for this repository. Use when parameters appear ignored, deployment differs between machines, or pose and model behavior are suspicious.

2026-08-12

code-review

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

2026-08-07

codebase-design

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

2026-08-07

Ver todos los de este repositorio

Diagnose Camera Stack

Use this skill for camera-only failures. Keep the diagnosis read-only until the user explicitly asks to change a device setting.

Workflow

Establish the exact symptom and whether it reproduces with hardware disconnected. Record the config path, camera name, VID:PID, expected resolution/FPS, and the first error line.

Run scripts/camera_preflight.sh [config] from the repository root. Treat missing devices, permissions, SDK libraries, and model binaries as separate findings.

Confirm the build before touching hardware:

cmake --build build-ninja --target camera_test -j$(nproc)
cmake --build build-ninja --target camera_detect_test -j$(nproc)
./build-ninja/camera_test -h

Exercise the smallest relevant executable. camera_test proves acquisition; camera_detect_test adds the detector. Do not jump to infantry until both are understood.

Compare observed frame timestamps/FPS and image dimensions with exposure_ms, gain or gamma, frame_rate, camera_name, and vid_pid. For HikRobot also check /opt/MVS/lib/64 and LD_LIBRARY_PATH; MindVision uses the repository SDK library.

If acquisition is healthy, hand off algorithm symptoms to $replay-auto-aim. If the failure is a config/model mismatch, hand off to $audit-vision-config.

Evidence and stop conditions

Capture command, exit status, stderr, device listing, and the first failing layer. Redact machine-specific serials and private paths when reporting.

A successful process start is not proof of streaming. Require non-empty frames and a measured rate.

Stop before changing exposure, gain, camera firmware, udev rules, or SDK installation. Ask the user before any privileged or hardware-mutating action.

GUI tests need a display. Report DISPLAY/headless limitations instead of substituting an unverified result.

Read camera-matrix.md for repository-specific facts and expected commands.