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@@ -4,6 +4,7 @@ This is a reference implementation of Video Frame Interpolation via Adaptive Sep <a href="https://arxiv.org/abs/1708.01692" rel="Paper"><img src="http://content.sniklaus.com/SepConv/Paper.jpg" alt="Paper" width="100%"></a> For the Torch version of this work, please see: https://github.com/sniklaus/torch-sepconv +For a third-party fork with video support, consider: https://github.com/dagf2101/pytorch-sepconv ## setup To build the implementation and download the pre-trained networks, run `bash install.bash` and make sure that you configured the `CUDA_HOME` environment variable. After successfully completing this step, run `python run.py` to test it. Should you receive an error message regarding an invalid device function during execution, configure the utilized CUDA architecture within `install.bash` to something your graphics card supports. |