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OpenVINO backend

Open3D-ML allows to use Intel OpenVINO as an optional backend for deep learning models inference.

Install

Install a compatible version of OpenVINO with:

pip install -r requirements-openvino.txt

Usage

To enable OpenVINO, wrap a model in ml3d.models.OpenVINOModel class. In example,

net = ml3d.models.PointPillars(**cfg.model, device='cpu')
net = ml3d.models.OpenVINOModel(net)

Then use net as usual.

Supported hardware

OpenVINO supports Intel CPUs, GPUs and VPUs. By default, model is executed on CPU. To switch between devices, use net.to option:

net.to("cpu")     # CPU device (default)
net.to("gpu")     # GPU device
net.to("myriad")  # VPU device

Supported models

  • RandLA-Net (tf, torch)
  • KPConv (tf, torch)
  • PointPillars (torch)