Add Dockerfile

2 files changed, 20 insertions, 2 deletions

diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..23db38a
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,12 @@
+FROM teeps/cuda7.5-art-vid
+MAINTAINER Ryan Baumann <ryan.baumann@gmail.com>
+
+RUN apt-get install -y bc
+
+ADD . /root/torch-warp
+
+RUN cp -v *-static /root/torch-warp/
+
+WORKDIR /root/torch-warp
+
+RUN cd consistencyChecker && make
diff --git a/README.md b/README.md
index 6f4867d..da0e31a 100644
--- a/README.md
+++ b/README.md
@@ -7,10 +7,16 @@ This repository contains a torch implementation for applying optical flow deform
 * torch7
 * DeepFlow and DeepMatching binaries in the current directory, as `deepflow2-static` and `deepmatching-static`
 
-I had very little luck getting DeepFlow to work on OS X, so I'm using a Docker image to run this.
-
 ## Usage
 
 For input, you need two PNG images of the same dimensions named e.g. `filename_0.png` and `filename_1.png`. You can then run `./run-torchwarp.sh filename` to run all the steps and output the morphing animation as `morphed_filename.gif`.
 
 You can also use `./run-stereogranimator.sh ID` with an image ID from [NYPL's Stereogranimator](http://stereo.nypl.org/) to download an animated GIF and run it through the morphing process.
+
+## Docker Usage
+
+I had very little luck getting DeepFlow to work on OS X, so I'm using Docker to run this with the included `Dockerfile`.
+
+* 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.