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vcpkg.json
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vcpkg.json
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{
"$schema": "https://raw.githubusercontent.com/microsoft/vcpkg-tool/main/docs/vcpkg.schema.json",
"name": "openvino",
"version": "2024.0.0",
"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",
"builtin-baseline": "7ba0ba7334c3346e7eee1e049ba85da193a8d821",
"dependencies": [
{
"name": "pkgconf",
"host": true
},
"pugixml",
{
"name": "tbb",
"version>=": "2021.10.0#2"
},
"rapidjson",
{
"name": "xbyak",
"platform": "!(arm | uwp)",
"version>=": "6.69"
}
],
"default-features": [
"auto",
"auto-batch",
{
"name": "cpu",
"platform": "!(windows & arm)"
},
{
"name": "gpu",
"platform": "(x64 | arm64) & !(arm64 & windows) & !(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 | arm64) & !(arm64 & windows) & !(osx | uwp)",
"dependencies": [
"opencl"
]
},
"hetero": {
"description": "Enables Hetero plugin for inference"
},
"ir": {
"description": "Enables IR frontend for reading models in OpenVINO IR format"
},
"onnx": {
"description": "Enables ONNX frontend for reading models in ONNX format",
"dependencies": [
{
"name": "onnx",
"version>=": "1.15.0"
},
{
"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"
}
]
}
}
}