vcpkg/ports/openvino/vcpkg.json

{
  "$schema": "https://raw.githubusercontent.com/microsoft/vcpkg-tool/main/docs/vcpkg.schema.json",
  "name": "openvino",
  "version": "2024.2.0",
  "maintainers": "OpenVINO Developers <openvino@intel.com>",
  "summary": "This is a port for Open Visual Inference And Optimization toolkit for AI inference",
  "description": [
    "Intel® Distribution of OpenVINO™ toolkit is an open-source toolkit for optimizing ",
    "and deploying AI inference. It can be used to develop applications and solutions based ",
    "on deep learning tasks, such as: emulation of human vision, automatic speech recognition, ",
    "natural language processing, recommendation systems, etc. It provides high-performance ",
    "and rich deployment options, from edge to cloud"
  ],
  "homepage": "https://github.com/openvinotoolkit/openvino",
  "documentation": "https://docs.openvino.ai/latest/index.html",
  "license": "Apache-2.0",
  "supports": "!uwp & !x86",
  "dependencies": [
    {
      "name": "pkgconf",
      "host": true
    },
    "pugixml",
    {
      "name": "tbb",
      "version>=": "2021.10.0#2"
    },
    {
      "name": "vcpkg-cmake",
      "host": true
    },
    {
      "name": "vcpkg-cmake-config",
      "host": true
    },
    {
      "name": "vcpkg-get-python-packages",
      "host": true
    },
    {
      "name": "xbyak",
      "platform": "!(arm | uwp)",
      "version>=": "6.69"
    }
  ],
  "default-features": [
    "auto",
    "auto-batch",
    {
      "name": "cpu",
      "platform": "!(windows & arm)"
    },
    {
      "name": "gpu",
      "platform": "x64 & !(osx | uwp)"
    },
    "hetero",
    "ir",
    "onnx",
    "paddle",
    "pytorch",
    "tensorflow",
    "tensorflow-lite"
  ],
  "features": {
    "auto": {
      "description": "Enables Auto plugin for inference"
    },
    "auto-batch": {
      "description": "Enables Auto Batch plugin for inference, useful for throughput mode"
    },
    "cpu": {
      "description": "Enables CPU plugin for inference",
      "supports": "!(windows & arm)"
    },
    "gpu": {
      "description": "Enables GPU plugin for inference",
      "supports": "x64 & !(osx | uwp)",
      "dependencies": [
        "opencl",
        "rapidjson"
      ]
    },
    "hetero": {
      "description": "Enables Hetero plugin for inference"
    },
    "ir": {
      "description": "Enables IR frontend for reading models in OpenVINO IR format"
    },
    "npu": {
      "description": "NPU Support",
      "supports": "x64 & !(osx | uwp) & !static"
    },
    "onnx": {
      "description": "Enables ONNX frontend for reading models in ONNX format",
      "dependencies": [
        {
          "name": "onnx",
          "version>=": "1.13.1"
        },
        {
          "name": "protobuf",
          "version>=": "3.21.2"
        },
        {
          "name": "protobuf",
          "host": true,
          "version>=": "3.21.2"
        }
      ]
    },
    "paddle": {
      "description": "Enables PaddlePaddle frontend for reading models in PaddlePaddle format",
      "dependencies": [
        {
          "name": "protobuf",
          "version>=": "3.21.2"
        },
        {
          "name": "protobuf",
          "host": true,
          "version>=": "3.21.2"
        }
      ]
    },
    "pytorch": {
      "description": "Enables PyTorch frontend to convert models in PyTorch format"
    },
    "tensorflow": {
      "description": "Enables TensorFlow frontend for reading models in TensorFlow format",
      "dependencies": [
        {
          "name": "protobuf",
          "version>=": "3.21.2"
        },
        {
          "name": "protobuf",
          "host": true,
          "version>=": "3.21.2"
        },
        "snappy"
      ]
    },
    "tensorflow-lite": {
      "description": "Enables TensorFlow Lite frontend for reading models in TensorFlow Lite format",
      "dependencies": [
        {
          "name": "flatbuffers",
          "version>=": "2.0.6"
        },
        {
          "name": "flatbuffers",
          "host": true,
          "version>=": "2.0.6"
        }
      ]
    }
  }
}