Add installation instructions for installation with conda

docs/setup.md

@@ -181,3 +181,33 @@ to download pre-trained OpenFace
 models on the combined CASIA-WebFace and FaceScrub database.
 This also downloads dlib's pre-trained model for face landmark detection.
 This will incur about 200MB of network traffic.
+
+
+# Installing open face using `conda` (OSX and GNU/Linux)
+
+Step 1. Install `miniconda` with the following commands
+* `wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh`
+* `bash Miniconda3-latest-Linux-x86_64.sh` and follow instructions.
+* Add a Python 2.7 environment with: `conda create --name openface python=2.7`
+* Activate the new env with: `source activate openface`
+
+Step 2. Install dependencies
+* Add the `conda-forge` channel with: `conda config --add channels conda-forge`
+* `conda install opencv numpy pandas scipy scikit-learn scikit-image dlib`
+
+Step 3. Install Torch and dependencies
+* Deactivate the `openface` environment by opening a new terminal.
+* `git clone https://github.com/torch/distro.git ~/torch --recursive`
+* `cd ~/torch; bash install-deps;`
+* `./install.sh`
+* Execute the following to install the Torch deps `for NAME in dpnn nn optim optnet csvigo cutorch cunn fblualib torchx tds; do luarocks install $NAME; done`
+
+Step 4. Install open face in `openface` environment using
+* `source activate openface`
+* `git clone https://github.com/cmusatyalab/openface.git ~/openface` 
+* `cd openface` 
+* `python setup.py install`
+* Download `dlib`s models with: `./models/get-models.sh`
+
+Open face is now installed. Test it with
+* `./demos/classifier.py infer models/openface/celeb-classifier.nn4.small2.v1.pkl ./images/examples/carell.jpg`