Image Input Grid (`imageInputGrid`)

Category: AI Model

Intended behavior

Upload an image and pixelate it onto an N×N grid — each cell becomes the average color and luminosity (0–1) of that region, forming the input layer of the network.

Inputs

ID	Label	Type	Unwired default
—	None	—	—

Outputs

ID	Label	Type	Default
`values`	Values	any	undefined

Configuration defaults

{
  "gridSize": 8,
  "cellValues": [],
  "cellColors": [],
  "imageSrc": "",
  "imageName": ""
}

Observed frontend behavior

This calls the production passive computation with the declared input/config defaults. Cached state, trigger execution and project wiring are separate.

{
  "kind": "passive-default-probe",
  "outputs": {
    "values": []
  }
}

Observed backend behavior

Offline production passive computation with the same declared defaults; no device or model service is invoked.

{
  "kind": "passive-default-probe",
  "outputs": {
    "values": []
  }
}

Current frontend implementation

Extracted production branches; helper calls and project execution context are defined in the referenced modules.

src/lib/execution-helpers.ts:300

case "imageInputGrid":
      outputs.values = Array.isArray(config.cellValues) ? config.cellValues : [];
      break;

Implementation references

Verification limits

Default passive probe is an observation, not proof of all configurations, trigger behavior, or correctness. See ../NODE_RUNTIME_AUDIT.md and ../AUDIT_VALIDATION.md for test evidence.

Source fingerprint: 7e9d192bd3a559a7c50253919867601ef02c311d61e859f7afb4cadcfa508430. Rebuild with npm run docs:index.

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imageInputGrid.md

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