Installation for MacOS¶

Requirements¶

Supported Operating Systems¶

MacOS >= 10.13

Gnu Compiler Collection (gcc)¶

You need to have gcc installed. Check to see if gcc is installed by opening a Terminal and running:

gcc --version

If it isn’t installed, we recommend installing Homebrew and then run:

brew install gcc

Installation Options¶

Option 1: Install from Package (recommended)¶

The simplest way to install SCT is to do it via a stable release. First, download the latest release. Major changes to each release are listed in the Changelog.

Once you have downloaded SCT, unpack it (note: Safari will automatically unzip it). Then, open a new Terminal, go into the created folder and launch the installer:

./install_sct

Option 2: Install from GitHub (development)¶

If you wish to benefit from the cutting-edge version of SCT, or if you wish to contribute to the code, we recommend you download the GitHub version.

Retrieve the SCT code

Clone the repository and hop inside:

git clone https://github.com/spinalcordtoolbox/spinalcordtoolbox

cd spinalcordtoolbox

(Optional) Checkout the revision of interest, if different from master:
```
git checkout ${revision_of_interest}
```
Run the installer and follow the instructions
```
./install_sct
```

Option 3: Install with pip (experimental)¶

SCT can be installed using pip, with some caveats:

The installation is done in-place, so the folder containing SCT must be kept around
In order to ensure coexistence with other packages, the dependency specifications are loosened, and it is possible that your package combination has not been tested with SCT.

So in case of problems, try again with the reference installation, and report a bug indicating the dependency versions retrieved using sct_check_dependencies.

Procedure:

Retrieve the SCT code to a safe place

Clone the repository and hop inside:

git clone https://github.com/spinalcordtoolbox/spinalcordtoolbox

cd spinalcordtoolbox

Checkout the revision of interest, if different from master:
```
git checkout ${revision_of_interest}
```
If numpy is not already on the system, install it, either using your distribution package manager or pip.
Install sct using pip

If running in a virtualenv:
```
pip install -e .
```
else:
```
pip install --user -e .
```

Option 4: Install with Docker¶

Docker is a portable (Linux, macOS, Windows) container platform.

In the context of SCT, it can be used:

To run SCT on Windows, until SCT can run natively there
For development testing of SCT, faster than running a full-fledged virtual machine
<your reason here>

Basic Installation (No GUI)¶

First, install Docker. Then, follow the examples below to create an OS-specific SCT installation.

Docker Image: Ubuntu¶

# Start from the Terminal
docker pull ubuntu:16.04
# Launch interactive mode (command-line inside container)
docker run -it ubuntu
# Now, inside Docker container, install dependencies
apt-get update
apt install -y git curl bzip2 libglib2.0-0 gcc
# Note for above: libglib2.0-0 is required by PyQt
# Install SCT
git clone https://github.com/spinalcordtoolbox/spinalcordtoolbox.git sct
cd sct
./install_sct -y
export PATH="/sct/bin:${PATH}"
# Test SCT
sct_testing
# save the state of the container. Open a new Terminal and run:
docker ps -a  # list all containers
docker commit <CONTAINER_ID> <YOUR_NAME>/ubuntu:ubuntu16.04

Docker Image: CentOS7¶

# Start from the Terminal
docker pull centos:centos7
# Launch interactive mode (command-line inside container)
docker run -it centos:centos7
# Now, inside Docker container, install dependencies
yum install -y which gcc git curl
# Install SCT
git clone https://github.com/spinalcordtoolbox/spinalcordtoolbox.git sct
cd sct
./install_sct -y
export PATH="/sct/bin:${PATH}"
# Test SCT
sct_testing
# save the state of the container. Open a new Terminal and run:
docker ps -a  # list all containers
docker commit <CONTAINER_ID> <YOUR_NAME>/centos:centos7

Enable GUI Scripts (Optional)¶

In order to run scripts with GUI you need to allow X11 redirection. First, save your Docker image:

Open another Terminal
List current docker images
```
docker ps -a
```

Save container as new image

docker commit <CONTAINER_ID> <YOUR_NAME>/<DISTROS>:<VERSION>

Create an X11 server for handling display:

Install XQuartz X11 server.
Check ‘Allow connections from network clientsoption inXQuartz` settings.
Quit and restart XQuartz.
In XQuartz window xhost + 127.0.0.1
In your other Terminal window, run: docker run -e DISPLAY=host.docker.internal:0 -it <CONTAINER_ID>

Additional Notes¶

If MATLAB is Installed¶

MATLAB took the liberty of setting DYLD_LIBRARY_PATH and in order for SCT to run, you have to run:

setenv('DYLD_LIBRARY_PATH', '');

Prior to running SCT commands. See https://github.com/spinalcordtoolbox/spinalcordtoolbox/issues/405