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Updated Graph API (markdown)

Dmitry Matveev 2021-03-25 16:11:50 +03:00
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Graph-API.md

@ -14,7 +14,20 @@ What it is?
* G-API GPU backend implements the majority of available functions and allows to run OpenCL kernels on available OpenCL-programmable devices. At the moment, GPU backend is based on OpenCV Transparent API; in future versions it will be extended to support integration of arbitrary OpenCL kernels (and likely be renamed to "OpenCL backend"). * G-API GPU backend implements the majority of available functions and allows to run OpenCL kernels on available OpenCL-programmable devices. At the moment, GPU backend is based on OpenCV Transparent API; in future versions it will be extended to support integration of arbitrary OpenCL kernels (and likely be renamed to "OpenCL backend").
* G-API ONNX backend implements [ONNX models](https://github.com/onnx/models) inference operations on input data and outputs the results. At the moment, ONNX backend is based on [ONNX Runtime](https://github.com/microsoft/onnxruntime) C/C++ API. * G-API ONNX backend implements [ONNX models](https://github.com/onnx/models) inference operations on input data and outputs the results. At the moment, ONNX backend is based on [ONNX Runtime](https://github.com/microsoft/onnxruntime) C/C++ API.
#### How to build with ONNX RT:
# Building G-API
G-API is built with OpenCV by default, however some features may require additional options or dependencies enabled.
## How to build with OpenVINO Toolkit:
TBD
## How to build with PlaidML:
TBD
## How to build with ONNX RT:
* Build and install the ONNX RT (currently tested with v1.5.1): * Build and install the ONNX RT (currently tested with v1.5.1):
```bash ```bash
$ git clone --recursive https://github.com/microsoft/onnxruntime.git $ git clone --recursive https://github.com/microsoft/onnxruntime.git