MediaPipe Face Mesh Eyes Only

September 25, 2020

MediaPipe Face Mesh Eyes Only is a feature-targeted image masking model that isolates the eye regions from MediaPipe face landmarks and returns black-and-white masks. It is useful for selective inpainting, beauty workflows, stylization, and localized eye-area enhancement.

Mask

Subway Platform Maintenance Shift

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'runware:35@9',
  settings: {
    confidence: 0.6,
    maxDetections: 1,
    maskPadding: 18,
    maskBlur: 8
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/c47c53da-b95e-453d-a4c7-6d6f8d46c07e.jpg'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:35@9",
            "settings": {
                "confidence": 0.6,
                "maxDetections": 1,
                "maskPadding": 18,
                "maskBlur": 8
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/c47c53da-b95e-453d-a4c7-6d6f8d46c07e.jpg"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "e5288f19-7aa1-4453-8898-1d8d826deb7f",
      "model": "runware:35@9",
      "settings": {
        "confidence": 0.6,
        "maxDetections": 1,
        "maskPadding": 18,
        "maskBlur": 8
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/c47c53da-b95e-453d-a4c7-6d6f8d46c07e.jpg"
      }
    }
  ]'

runware run runware:35@9 \
  settings.confidence=0.6 \
  settings.maxDetections=1 \
  settings.maskPadding=18 \
  settings.maskBlur=8 \
  inputs.image=https://assets.runware.ai/assets/inputs/c47c53da-b95e-453d-a4c7-6d6f8d46c07e.jpg

{
  "taskType": "imageMasking",
  "taskUUID": "e5288f19-7aa1-4453-8898-1d8d826deb7f",
  "model": "runware:35@9",
  "settings": {
    "confidence": 0.6,
    "maxDetections": 1,
    "maskPadding": 18,
    "maskBlur": 8
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/c47c53da-b95e-453d-a4c7-6d6f8d46c07e.jpg"
  }
}

Response

{
  "taskType": "imageMasking",
  "taskUUID": "e5288f19-7aa1-4453-8898-1d8d826deb7f",
  "maskImageURL": "https://im.runware.ai/image/os/a01d21/ws/4/ii/9c4bd4fe-31a5-4369-820c-76a7e1a04c6c.jpg",
  "cost": 0.0006,
  "maskImageUUID": "9c4bd4fe-31a5-4369-820c-76a7e1a04c6c"
}

Mask

Orchestra Rehearsal Eye Isolation

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'runware:35@9',
  settings: {
    confidence: 0.65,
    maxDetections: 1,
    maskPadding: 12,
    maskBlur: 6
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/ca31e545-e0b0-4109-8c10-9b68151e8aee.jpg'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:35@9",
            "settings": {
                "confidence": 0.65,
                "maxDetections": 1,
                "maskPadding": 12,
                "maskBlur": 6
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/ca31e545-e0b0-4109-8c10-9b68151e8aee.jpg"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "cbf6f54f-5d35-402a-ab4d-bb201154a203",
      "model": "runware:35@9",
      "settings": {
        "confidence": 0.65,
        "maxDetections": 1,
        "maskPadding": 12,
        "maskBlur": 6
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/ca31e545-e0b0-4109-8c10-9b68151e8aee.jpg"
      }
    }
  ]'

runware run runware:35@9 \
  settings.confidence=0.65 \
  settings.maxDetections=1 \
  settings.maskPadding=12 \
  settings.maskBlur=6 \
  inputs.image=https://assets.runware.ai/assets/inputs/ca31e545-e0b0-4109-8c10-9b68151e8aee.jpg

{
  "taskType": "imageMasking",
  "taskUUID": "cbf6f54f-5d35-402a-ab4d-bb201154a203",
  "model": "runware:35@9",
  "settings": {
    "confidence": 0.65,
    "maxDetections": 1,
    "maskPadding": 12,
    "maskBlur": 6
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/ca31e545-e0b0-4109-8c10-9b68151e8aee.jpg"
  }
}

Response

{
  "taskType": "imageMasking",
  "taskUUID": "cbf6f54f-5d35-402a-ab4d-bb201154a203",
  "maskImageURL": "https://im.runware.ai/image/os/a03d21/ws/4/ii/5ebd7848-0e51-406d-a680-97f067f07cb2.jpg",
  "cost": 0.0006,
  "maskImageUUID": "5ebd7848-0e51-406d-a680-97f067f07cb2"
}

Mask

Bouldering Wall Eye Isolation

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'runware:35@9',
  settings: {
    confidence: 0.65,
    maxDetections: 1,
    maskPadding: 12,
    maskBlur: 6
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/490825d5-04d2-48ae-98cb-830218630187.jpg'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:35@9",
            "settings": {
                "confidence": 0.65,
                "maxDetections": 1,
                "maskPadding": 12,
                "maskBlur": 6
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/490825d5-04d2-48ae-98cb-830218630187.jpg"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "b135e29b-ea92-4ae9-a218-7fddb851ce28",
      "model": "runware:35@9",
      "settings": {
        "confidence": 0.65,
        "maxDetections": 1,
        "maskPadding": 12,
        "maskBlur": 6
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/490825d5-04d2-48ae-98cb-830218630187.jpg"
      }
    }
  ]'

runware run runware:35@9 \
  settings.confidence=0.65 \
  settings.maxDetections=1 \
  settings.maskPadding=12 \
  settings.maskBlur=6 \
  inputs.image=https://assets.runware.ai/assets/inputs/490825d5-04d2-48ae-98cb-830218630187.jpg

{
  "taskType": "imageMasking",
  "taskUUID": "b135e29b-ea92-4ae9-a218-7fddb851ce28",
  "model": "runware:35@9",
  "settings": {
    "confidence": 0.65,
    "maxDetections": 1,
    "maskPadding": 12,
    "maskBlur": 6
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/490825d5-04d2-48ae-98cb-830218630187.jpg"
  }
}

Response

{
  "taskType": "imageMasking",
  "taskUUID": "b135e29b-ea92-4ae9-a218-7fddb851ce28",
  "maskImageURL": "https://im.runware.ai/image/os/a10dlim3/ws/4/ii/b51c1fd4-4011-4b93-92f6-33804b71072f.jpg",
  "cost": 0.0006,
  "maskImageUUID": "b51c1fd4-4011-4b93-92f6-33804b71072f"
}

Mask

Hangar Ramp Safety Inspection

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'runware:35@9',
  settings: {
    confidence: 0.65,
    maxDetections: 1,
    maskPadding: 12,
    maskBlur: 4
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/8f3663fc-d9a8-45c1-8831-83838935ba98.jpg'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:35@9",
            "settings": {
                "confidence": 0.65,
                "maxDetections": 1,
                "maskPadding": 12,
                "maskBlur": 4
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/8f3663fc-d9a8-45c1-8831-83838935ba98.jpg"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "ddcd467f-693a-4883-81d7-17970c1ffb3a",
      "model": "runware:35@9",
      "settings": {
        "confidence": 0.65,
        "maxDetections": 1,
        "maskPadding": 12,
        "maskBlur": 4
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/8f3663fc-d9a8-45c1-8831-83838935ba98.jpg"
      }
    }
  ]'

runware run runware:35@9 \
  settings.confidence=0.65 \
  settings.maxDetections=1 \
  settings.maskPadding=12 \
  settings.maskBlur=4 \
  inputs.image=https://assets.runware.ai/assets/inputs/8f3663fc-d9a8-45c1-8831-83838935ba98.jpg

{
  "taskType": "imageMasking",
  "taskUUID": "ddcd467f-693a-4883-81d7-17970c1ffb3a",
  "model": "runware:35@9",
  "settings": {
    "confidence": 0.65,
    "maxDetections": 1,
    "maskPadding": 12,
    "maskBlur": 4
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/8f3663fc-d9a8-45c1-8831-83838935ba98.jpg"
  }
}

Response

{
  "taskType": "imageMasking",
  "taskUUID": "ddcd467f-693a-4883-81d7-17970c1ffb3a",
  "maskImageURL": "https://im.runware.ai/image/os/a03d21/ws/4/ii/b33ee3a6-b6e7-4466-adda-627eae1febe0.jpg",
  "cost": 0.0006,
  "maskImageUUID": "b33ee3a6-b6e7-4466-adda-627eae1febe0"
}