{
  "schema_version": 1,
  "model": {
    "id": "modnet",
    "version": "1.0.0",
    "display_name": "MODNet",
    "task": "image-matting",
    "description": "Trimap-free portrait matting for still images and video frames"
  },
  "license": {
    "spdx": "Apache-2.0",
    "redistribution": "allowed",
    "files": [
      {
        "path": "card/LICENSE",
        "bytes": 11357,
        "sha256": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4"
      }
    ],
    "notes": [
      "The upstream README explicitly applies Apache-2.0 to code, models and demos."
    ]
  },
  "provenance": {
    "repository": "https://github.com/ZHKKKe/MODNet",
    "revision": "28165a451e4610c9d77cfdf925a94610bb2810fb",
    "weights": [
      {
        "id": "modnet-webcam-portrait-matting",
        "source": "https://drive.google.com/uc?id=1Nf1ZxeJZJL8Qx9KadcYYyEmmlKhTADxX",
        "bytes": 26255603,
        "sha256": "913b82b66558db39b6286c150f809017d7528c872b156eb14333c9c6cb52108b"
      }
    ],
    "notes": [
      "Exported by export_onnx.py and export_coreml.py with the versions documented in manifest.json."
    ]
  },
  "release": {
    "state": "ready",
    "repository": "openvalle/valle-models"
  },
  "contract": {
    "adapter": "modnet-image-matting",
    "version": 1,
    "inputs": [
      {
        "name": "img",
        "dtype": "f32",
        "layout": "nchw",
        "shape": [
          1,
          3,
          "height",
          "width"
        ],
        "range": [
          -1,
          1
        ],
        "description": "RGB image normalized with (x / 255 - 0.5) / 0.5"
      }
    ],
    "outputs": [
      {
        "name": "matte",
        "dtype": "f32",
        "layout": "nchw",
        "shape": [
          1,
          1,
          "height",
          "width"
        ],
        "range": [
          0,
          1
        ],
        "description": "Portrait alpha matte"
      }
    ],
    "preprocess": {
      "color_space": "rgb",
      "resize": {
        "algorithm": "area",
        "width": 512,
        "height": 896,
        "dimension_multiple": 32
      },
      "normalization": {
        "scale": 0.00784313725490196,
        "bias": -1
      }
    },
    "postprocess": {
      "clamp": [
        0,
        1
      ],
      "resize_to_source": "bilinear-half-pixel",
      "encoding": "alpha8-png"
    }
  },
  "artifacts": [
    {
      "id": "onnx-fp32",
      "format": "onnx",
      "precision": "fp32",
      "entrypoint": "modnet_512x896.onnx",
      "files": [
        {
          "path": "modnet_512x896.onnx",
          "bytes": 25964554,
          "sha256": "58293ecd31047aec8ebc4aed049f67b57fb8b97927108c2b718d3e9fe9b07c2c"
        }
      ],
      "metadata": {
        "opset": 17,
        "dynamic_shape": true,
        "default_width": 512,
        "default_height": 896
      }
    },
    {
      "id": "coreml-fp16-512x896",
      "format": "coreml-package",
      "precision": "fp16",
      "entrypoint": "modnet_fp16_512x896.mlpackage",
      "files": [
        {
          "path": "modnet_fp16_512x896.mlpackage/Manifest.json",
          "bytes": 617,
          "sha256": "e2a3e0f78aa9e5ca5cfe620e0be72f37542dcc40c86bdce41d143fd742404f1a"
        },
        {
          "path": "modnet_fp16_512x896.mlpackage/Data/com.apple.CoreML/model.mlmodel",
          "bytes": 168736,
          "sha256": "ba3bc84a58d7a62dde878ebc9f2ba48a16d4f861756a08441cc9ed73f0e7d0c2"
        },
        {
          "path": "modnet_fp16_512x896.mlpackage/Data/com.apple.CoreML/weights/weight.bin",
          "bytes": 12938272,
          "sha256": "542b70422586d032b2a975b3de930c64f168d9a8420592d7bc8f106b98469dd5"
        }
      ],
      "metadata": {
        "fixed_shape": true,
        "width": 512,
        "height": 896,
        "minimum_deployment_target": "macOS14"
      }
    }
  ],
  "routes": [
    {
      "id": "coreml-macos-arm64",
      "artifact": "coreml-fp16-512x896",
      "backend": "coreml",
      "platforms": [
        "macos"
      ],
      "architectures": [
        "aarch64"
      ],
      "status": "verified",
      "priority": 100,
      "requirements": {
        "minimum_os": "macOS 14",
        "minimum_runtime": null
      },
      "options": {
        "compute_units": "cpu-and-neural-engine"
      },
      "notes": "Verified locally on Apple M2 Pro; publish the mlpackage and compile it on the target Mac."
    },
    {
      "id": "onnx-cpu-macos-arm64",
      "artifact": "onnx-fp32",
      "backend": "onnx-cpu",
      "platforms": [
        "macos"
      ],
      "architectures": [
        "aarch64"
      ],
      "status": "verified",
      "priority": 10,
      "notes": "Cross-platform fallback artifact; this exact route was measured locally."
    },
    {
      "id": "onnx-cpu-macos-x86_64",
      "artifact": "onnx-fp32",
      "backend": "onnx-cpu",
      "platforms": [
        "macos"
      ],
      "architectures": [
        "x86_64"
      ],
      "status": "unverified",
      "priority": 10,
      "notes": "Artifact is portable; host route has not yet run in CI or on hardware."
    },
    {
      "id": "onnx-cpu-windows-x86_64",
      "artifact": "onnx-fp32",
      "backend": "onnx-cpu",
      "platforms": [
        "windows"
      ],
      "architectures": [
        "x86_64"
      ],
      "status": "unverified",
      "priority": 10,
      "notes": "Promote to verified only after the GitHub Actions real-fixture gate passes."
    },
    {
      "id": "onnx-cpu-linux-x86_64",
      "artifact": "onnx-fp32",
      "backend": "onnx-cpu",
      "platforms": [
        "linux"
      ],
      "architectures": [
        "x86_64"
      ],
      "status": "unverified",
      "priority": 10,
      "notes": "Promote to verified only after the GitHub Actions real-fixture gate passes."
    },
    {
      "id": "onnx-cpu-linux-aarch64",
      "artifact": "onnx-fp32",
      "backend": "onnx-cpu",
      "platforms": [
        "linux"
      ],
      "architectures": [
        "aarch64"
      ],
      "status": "unverified",
      "priority": 10,
      "notes": "The ONNX artifact is architecture-neutral; ONNX Runtime packaging remains unverified."
    }
  ]
}