from atomscale import Client

client = Client(api_key="YOUR_API_KEY")
results = client.get(data_ids="d290f1ee-6c54-4b01-90e6-d701748f0851")
sem = results[0]

import requests

response = requests.get(
    "https://api.atomscale.ai/sem/images/d290f1ee-6c54-4b01-90e6-d701748f0851/fingerprint",
    headers={"X-API-KEY": "YOUR_API_KEY"},
    params={"feature": "area"}
)
fingerprint = response.json()

curl "https://api.atomscale.ai/sem/images/d290f1ee-6c54-4b01-90e6-d701748f0851/fingerprint?feature=area" \
  -H "X-API-KEY: YOUR_API_KEY"

{
  "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
  "processed_data_id": "f47ac10b-58cc-4372-a567-0e02b2c3d479",
  "total_count": 142,
  "low_outliers": {
    "mask": {
      "mask_rle": "0 50 1 10 0 200 ...",
      "mask_height": 1024,
      "mask_width": 1024,
      "color": [255, 0, 0, 0.15]
    },
    "details": {
      "count": 12,
      "percentage": 8.45
    }
  },
  "inliers": {
    "mask": {
      "mask_rle": "0 30 1 20 0 180 ...",
      "mask_height": 1024,
      "mask_width": 1024,
      "color": [0, 255, 0, 0.15]
    },
    "details": {
      "count": 118,
      "percentage": 83.1
    }
  },
  "high_outliers": {
    "mask": {
      "mask_rle": "0 100 1 5 0 300 ...",
      "mask_height": 1024,
      "mask_width": 1024,
      "color": [0, 0, 255, 0.15]
    },
    "details": {
      "count": 12,
      "percentage": 8.45
    }
  }
}