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- Mac Os X
Contents
- Running the installer (on macOS or Linux)
- Advanced usage
The FSL software suite requires the X11 windowing system - please install XQuartz before continuing with the FSL installation. The FSL install script will warn you if it is unable to find X11 on your computer.
New M1 apple computersFSL cannot currently be installed on the new (November 2020) M1 Apple computers. We hope to offer support for these computers in the future.
Yosemite (10.10)+Recent versions of macOS are known to have problems with FSLView, often after major OS updates have been applied, if you experience errors referencing '/usr/X11R6' try re-installing XQuartz and failing this try: sudo ln -s /opt/X11 /usr/X11R6 ; sudo ln -s /opt/X11 /usr/X11
A recent FSL 6.0.3 patch for macOS users may fail the checksum when downloaded. If this happens, or to avoid the download integrity check entirely you can use the -M option with the fslinstaller.py script. For example: python fslinstaller.py -M
We have created an installation video which gives an overview of the installation procedure on a Mac. Sonic adventure 2 for pc free.
The fslinstaller.py script carries out the installation of FSL, configuring your environment to enable you to run FSL from a terminal window (e.g. (/Applications/Utilities/Terminal.app on macOS).
Administrative privileges may be required
Installation into certain folders on your computer (e.g. the default, /usr/local) may require administrative privileges. If this is the case, the installer will attempt to gain these privileges through the use of the sudo command, which will require you to enter your password for verification. If you don't have permission to use sudo (an administration account on macOS) then the installer will fail and will need to either install into a folder belonging to your user or to run the installer as the root user. Should you install as root see the configuring your account for FSL section for details on how to use the installer to setup your user account for FSL.
The installer requires access to the internet to be able to download the FSL software appropriate for your platform and runs from within a terminal session, so you need to open a terminal:
- Linux (Centos 7)
The Terminal application can be found in Applications > Utilities > Terminal menu
- macOS
The Terminal application can be found in /Applications/Utilities
In the terminal change to the folder containing the fslinstaller.py file and run it with python; assuming that you wish to install into /usr/local (the default) then just press the Return key when the installer asks where to install to. For example if you downloaded to your Downloads folder:
The installer requires python 2.x to run which is the default on macOS and Centos 6 & 7, if you have installed python version 3 and made it the default when you run python then you will need to run it with a python 2 version, you can often find this as:
- /usr/bin/python
- python27
- python2.7
- python26
- python2.6
Once the install completes Linux users should log out (System (top right icon) > Log out) and log back in to complete the FSL setup. If you are accessing the Linux computer via a remote SSH session then close the SSH session and re-login. Apple macOS users should open a new terminal window to begin using FSL.
if you use Mathworks' MATLAB it will configure your startup.m file to allow you to use the FSL MATLAB functions and on macOS platforms it will also install FSLEyes and FSLView into /Applications.
Advanced Options
The installer has some advanced options which, amongst other things, allows you to:
- customise the FSL installation location.
- automate the FSL installation - this is useful if you would like to call the installer from an automated script.
Type python fslinstaller.py -h for a list of all available options.
Test that the environment and command line tools are set up correctly by doing the following:
Start a new Terminal session (File > Open Terminal under Linux/Gnome, Shell > New Window on macOS)
- Check that your environment is correct by typing: This should display the name of the directory that you installed FSL in.
- Check that your path is correct by typing: which should display a line like: (although the version number might be different).
- Check that the miniconda environment installation completed successfully:
- which should display a line like:
If the imcp command cannot be found, this suggests that the FSL miniconda environment was not installed correctly - see the section titled Commands missing after installation on the main FSL installation page.
In general, to run the FSL tools from the command line (within a terminal) you need to enter the program name in lower case (e.g. bet). Typing a command on its own (without any arguments or options) gives you a help message for that command.
A more complete test of the FSL installation can be run, if desired, by using the testing and evaluation suite FEEDS.
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To run a GUI version of a program you can either type its capitalised name with an additional '_gui' appended in the terminal (e.g. Bet_gui), or you can start the main FSL GUI by just typing fsl.
If this doesn't work the see the FAQ for how to go about fixing this, otherwise you are ready to run FSL.
Using FSL from MATLAB
On macOS, the fslinstaller script will usually set this up for you so you should not need to do this. However, if the installer cannot configure MATLAB for some reason you may need to do this by hand.
FSL ships with several MATLAB scripts for loading NIFTI files. These libraries are dependent on FSL environment variables which may not be set when you start up MATLAB from your desktop environment. You can configure MATLAB to be FSL-aware by adding the following to your ~/Documents/MATLAB/startup.m file (create it if it doesn't already exist):
How to Access This Software
MATLAB is available for Mac OS X (10.7.4 and later) and Windows 64-bit systems (Windows Vista and later)
NOTE: The MATLAB program is very large and should only be downloaded using a high-speed Internet connection.
Downloading MATLAB
You can download the latest MATLAB software directly from the Mathworks website at www.mathworks.com/academia/tah-portal/university-of-southern-california-623588.html.
Please note that you will need to log into an existing MathWorks account associated with your USC NetID email address or create a new Mathworks account associated with your USC email in order to download software from the MathWorks site.
You can also access MATLAB training, MATLAB help, and MATLAB Cloud and Resources for Educators from that site.
Installing MATLAB
For instructions on installing this software, please see the Installation for End Users page on the MathWorks website. Wacom ctf 221 drivers.
NOTE: You will need to reactivate your MATLAB software license every year on January 31. Please see the Reactivating Your MATLAB License page on the ITS website for instructions on how to reactivate your software license.
How to Use MATLAB
For additional information on MATLAB, including installation instructions and the products and toolboxes included in your MATLAB download, see the MATLAB Answers website.
MathWorks Support for USC
For additional help with using MATLAB, contact the MathWorks team for USC:
MATLAB in the USC Computing Centers
MATLAB is also available on computers located in the following USC Computing Centers:
- Ahmanson Information Commons in Leavey Library (LVL Lower Level)
- King Hall (KOH) 206
- Waite Phillips Hall (WPH) B34
For information on accessing software in these USC Computing Centers, see itservices.usc.edu/spaces/computingcenters.
Remote Access through Cloudapps.usc.edu
This software is also available through ITS’s virtual desktop interface (VDI), cloudapps.usc.edu. For information on how to access applications through cloudapps.usc.edu, visit itservices.usc.edu/vdi.
Who Can Access This Software
Matlab Mac Download
Faculty, staff, and students
Description
Download Matlab For Mac Free
MATLAB is a high-level language and interactive computing environment that enables you to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran.