Crack Check

import { readFile } from "node:fs/promises";
import { DecisionMachine } from "@cloudraker/milliseconds";

// Run on your server; reads MS_API_KEY from the environment.
// The image carries the input; the leading text is optional context.
const dm = new DecisionMachine();

const { result, usage } = await dm.classify(
  await readFile("image.jpg"),
  {
    "crack": "A concrete surface with a visible crack: a narrow or wide irregular fracture line, possibly branching.",
    "no_crack": "A concrete surface without a visible fracture line. Ordinary texture, pores, isolated pits, stains and lighting variation are not cracks."
  },
  { detail: "low" }
).withUsage();

console.log(result);
console.log({ inputTokens: usage.inputTokens, modelMs: usage.inferenceMs });

from pathlib import Path
from milliseconds import DecisionMachine

# Reads MS_API_KEY from the environment.
# The image carries the input; the leading text is optional context.
dm = DecisionMachine()

result = dm.classify(
    Path("image.jpg").read_bytes(),
    {
      "crack": "A concrete surface with a visible crack: a narrow or wide irregular fracture line, possibly branching.",
      "no_crack": "A concrete surface without a visible fracture line. Ordinary texture, pores, isolated pits, stains and lighting variation are not cracks."
    },
    detail="low"
)

print(result)

# Reads MS_API_KEY. The image and the other fields are read from disk.
cat > classify-labels.json <<'DM1_LABELS'
{
  "crack": "A concrete surface with a visible crack: a narrow or wide irregular fracture line, possibly branching.",
  "no_crack": "A concrete surface without a visible fracture line. Ordinary texture, pores, isolated pits, stains and lighting variation are not cracks."
}
DM1_LABELS

dm1 classify --image image.jpg --detail low --labels @classify-labels.json --json --usage