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authorRyan Baumann <ryan.baumann@gmail.com>2016-08-23 17:13:52 -0400
committerGitHub <noreply@github.com>2016-08-23 17:13:52 -0400
commitbfe8edede5e38f9aeea70a81d634ad2030fad358 (patch)
treeeacdef98b92aae922b3a8a23c11a419414bb04fc
parentc28a4a55d93a0e54d232e0564fd4f66fe18d7283 (diff)
Update README.md
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@@ -30,3 +30,5 @@ I had very little luck getting DeepFlow to work on OS X, so I'm using Docker to
* Build the Docker image with `docker build -t torch-warp .`
* Run the build with `docker run -t -i torch-warp /bin/bash`. You may want to [map a host directory as a data volume](https://docs.docker.com/engine/tutorials/dockervolumes/#/mount-a-host-directory-as-a-data-volume) as well, in order to transfer images back and forth.
* Use the scripts as described above inside the Docker container's shell.
+
+I've also made this repository an automated build on Docker Hub: [`ryanfb/torch-warp`](https://hub.docker.com/r/ryanfb/torch-warp/)