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Fast C++ Pytorch extension for differentiable synthetic aperture radar image formation and autofocus library on CPU and GPU

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Torchbp

Fast C++ Pytorch extension for differentiable synthetic aperture radar image formation and autofocus library on CPU and GPU.

Only Nvidia GPUs are supported. Currently, some operations are not supported on CPU.

On RTX 3090 Ti backprojection on polar grid achieves 225 billion backprojections/s.

Installation

From source

git clone https://github.com/Ttl/torchbp.git
cd torchbp
pip install .

Documentation

API documentation and examples can be built with sphinx.

pip install .[docs]
cd docs
make html

Open docs/build/html/index.html.

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Fast C++ Pytorch extension for differentiable synthetic aperture radar image formation and autofocus library on CPU and GPU

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  • Cuda 37.2%
  • C++ 32.8%
  • Python 30.0%
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