Premiere pro cc 2017 download mac free. Install OpenGL and X Server, set environment variables. Sudo apt-get update sudo apt-get install libsm-dev libxrender-dev build-essential libgl1-mesa-dev mesa-utils mesa-common-dev libglu1-mesa libglu1-mesa-dev sudo apt-get autoremove; Install Xming X Server for Windows. Don't forget the fonts and Mesa (OpenGL) modules! Download mesa-libGLU-devel-9.0.0-4.el7.x8664.rpm for CentOS 7 from CentOS repository. # sudo apt-get install build-essential libx11-dev mesa-common-dev libgl1-mesa-dev libglu1-mesa-dev libxext-dev libqt4-opengl-dev (No line breaks!) Get the source. Build Fragmentarium. Navigate to the 'Build/Linux' directory and run the build script: $ sh build.sh That's it. Robosuite officially supports Mac OS X and Linux on Python 3.5 or 3.7. It can be run with an on-screen display for visualization or in a headless mode for model training, with or without a GPU. First download MuJoCo 2.0 (Linux and Mac OS X). $ sudo apt install curl git libgl1-mesa-dev libgl1-mesa-glx libglew-dev libosmesa6-dev software. Ubuntu Main amd64 Official libgl1-mesa-dev10.1.0-4ubuntu5amd64.deb: free implementation of the OpenGL API - GLX development files: Ubuntu Main arm64 Official libgl1-mesa-dev10.1.0-4ubuntu5arm64.deb.
SAMSON is a software platform for computational nanoscience. Its generic, open architecture makes it suitable for material science, life science, physics, electronics, chemistry, and even education. The SAMSON application and the SAMSON SDK are developed by the OneAngstrom led by Stephane Redon. SAMSON stands for 'Software for Adaptive Modeling and Simulation Of Nanosystems'.
Current version
The current version of SAMSON is 2020 R2.
Please refer to Versioning for more information about version numbers.
Supported platforms
SAMSON is available on the following platforms:
Windows Vista
Windows 7
Windows 8
Windows 10
Linux
Mac OS X
Requirements
For running SAMSON, a 64-bit operating system and a graphics card supporting OpenGL 3.2 are required. For NVIDIA and AMD graphics cards an appropriate driver with an OpenGL support should be installed.
If you experience problems with OpenGL libraries, please check the Installing OpenGL drivers on Linux section.
SAMSON has an open architecture which allows you to extend it, and adapt it to your needs, by downloading SAMSON Elements (modules) from the SAMSON Connect website. SAMSON Elements come in many flavors: apps, editors, controllers, models, parsers, etc., and are adapted to different application domains. SAMSON Elements help users build new models, perform calculations, run interactive or offline simulations, visualize and interpret results, and more.
Please, check the Requirements.
To install SAMSON, download the SAMSON installer from this page on SAMSON Connect. You will be asked to sign in, or create an account if you don't have one. When you download the installer, a key will be sent to the email address you used for registration.
Start the SAMSON installer you just downloaded.
On Linux, open a terminal in the folder where you downloaded the SAMSON installer and execute the following commands:
./SAMSON-Setup.run
Once the installer has started, you should see following window:
Note: Intel graphics cards may currently cause issues. If you have one, the SAMSON installer will generate a warning. You may choose to ignore the warning, especially if you also have a non-Intel graphics card (NVIDIA or AMD). Onenote class notebook add-in download mac.
After accepting the license agreement, you reach a page that allows you to configure a proxy, if necessary:
At this point, the SAMSON installer checks that it can reach SAMSON Connect (that SAMSON needs to install SAMSON Elements). If it can, this page shows the message 'SAMSON Connect reached successfully'. Else, you might have to enter proxy parameters (you may have to ask your system administrator for information). Use the 'Test connection' button to check that the proxy parameters you entered are valid.
Next, the installer asks you to enter the email address you used to register, and the SAMSON key that was sent to you at that address when you downloaded the installer.
Enter your email address and the SAMSON key you received at that address
If you want, you may check the 'Advanced mode' box to choose a custom installation path and specify which version of SAMSON you want to install (by default, the latest version is installed).
Then, the installer downloads SAMSON from SAMSON Connect, and installs it:
Finally, the last page of the installer gives you the possibility to start SAMSON and visit SAMSON Connect:
Here is how you start SAMSON depending on your operating system.
Windows
On Windows, start SAMSON from the Start menu. Typing SAMSON in the search box might just lead you there. Else, SAMSON may be found in the SAMSON 0.12.0 folder:
On Mac, start SAMSON from the launchpad or from the Application folder. The most recently SAMSON version will be launched.
SAMSON is installed in the following folder:
Linux
SAMSON installs a convinience shortcut file on the Desktop.
On Linux, open a terminal, go to your Desktop folder and execute:
This is a link to the launching SAMSON-Core.sh script in the SAMSON installation folder. You might need to make this file executable:
You can also directly launch the SAMSON-Core.sh script from the SAMSON installation folder path (it should be ~/OneAngstrom/SAMSON-Application/0.12.0/Binaries):
You may create an alias in your '~/.bashrc':
alias samson='$HOME/OneAngstrom/SAMSON-Application/0.12.0/Binaries/SAMSON-Core.sh'
Now, open a new terminal and execute 'samson'.
In case you have issues on Linux with AMD/ATI graphics cards, please refer to the Troubleshooting section.
The first time you start SAMSON, it downloads a set of default SAMSON Elements from SAMSON Connect. To customize your SAMSON installation from SAMSON Connect, simply sign in to your account, then go to the Elements section of SAMSON Connect to choose the SAMSON Elements you need. Please refer to this page for more information.
If you have trouble installing SAMSON and cannot find an answer below, please check the SAMSON Connect forum or contact us at [email protected].
Installing OpenGL drivers on Linux
Please, check how to install GPU driver and OpenGL library for your platform.
Below are suggestion for Debian-based systems (e.g. Ubuntu).
First, to check which GPU you have run the following command in the terminal:
If you have NVIDIA or AMD graphics card, you can install their proprietary drivers. Please, check how to do it for you platform and your GPU.
If you have only an integrated GPU (Graphics Processing Unit), you may see only something like:
00:02.0 VGA compatible controller: Intel Corporation .. process Graphics Controller
In this case you might need to install Mesa.
First check whether you have Mesa with OpenGL already installed in your system:
locate libOpenGL.so
To install Mesa execute the following command in the terminal:
Running SAMSON on Linux with an AMD GPU
SAMSON requires a graphics card supporting OpenGL 3.2. To detect which GPU you have you may run several commands:
Libgl1-mesa-dev
lspci -nn | grep VGA
SAMSON depends on libOpenGL.so and libGLX.so (to be precise, libOpenGL.so.0 and libGLX.so.0), which are not provided by SAMSON and should be installed on your system. To check whether these libraries are installed on your system, you may run the following commands:
locate libOpenGL.so
locate libGL.so
If you have no libOpenGL.so library in your system, you can make links to either the libQt5OpenGL.so shipped with SAMSON, or to your system library, e.g. by compiz:
In the first case, you will need to create this link every time your SAMSON has been updated. If you have no libGLX.so library, you may create a link to libGL.so, e.g. depending on where you have libGL.so:
Otherwise, these libraries can be installed through a GPU driver or mesa. If, for example, you have Ubuntu 14.04 (up to Xorg 1.16) you may install the fglrx driver (we refer to https://help.ubuntu.com/community/BinaryDriverHowto/AMD').
For a newer version of Ubuntu, if you have a recent AMD GPU, you may install the AMDGPU Driver or the AMDGPU-PRO Driver. Alternatively, you may install mesa:
Contents
Binary Installation Instructions v2.31
Linux Clusters
Windows
All Systems
Official releases are in reverse chronological order. The Continuous Build is rebuilt daily and any time a developer makes a change they think users should have access to. It is normally reasonably stable, and will contain the latest pre-publication features. Alternatively, the highest numbered version will contain a stable and tested release. Windows10 users please see the instructions below before downloading.
Download EMAN2
Mac OS X and Linux Workstations (not clusters)
The neural network code in EMAN2 works best on GPUs, which are available only on the Linux installations. It can still run on Mac, but will be quite slow.
If you have previously installed EMAN2:
Please remove or rename any existing installed EMAN2 folder you might have.
Please remove any existing EMAN2 entries from PATH.
LD_LIBRARY_PATH, DYLD_LIBRARY_PATH, PYTHONPATH and PYTHONHOME are NO LONGER USED, and should be removed if you have them set.
If you have any of these shell variables set for use with other software, it may be necessary to remove those settings as well. If the tests below fail after installation, this is the first thing to check.
Download eman2.X.MacOS.sh/eman2.X.linux64.sh.
Run:
You will be prompted for a location to install EMAN2. Note that you cannot rename this folder after installation! You must reinstall if you wish to move the installation.
You will be asked if you want to initialize EMAN2.
EMAN2 initialization will add a block of code to your .profile/.bashrc file. After initialization open your .profile/.bashrc file and confirm that a block like the following has been added
If you have any other similar looking blocks before the last one, it might be a good idea to remove them to avoid any potential conflicts.
If you use a different shell, such as tcsh or zsh, you may need to edit the appropriate file yourself.
You should not normally need to reinstall OpenMPI. The copy of OpenMPI/Pydusa now distributed with the binaries should work on Macs/Linux workstations in most cases.
Don't forget to restart your shell if you changed the .profile/.bashrc or other scripts.
The changes made in .profile/.bashrc will ensure updating PATH, so that python/conda/anaconda in the installed EMAN2 package are found correctly. Users who want to use another python version, like the system version, can run 'conda deactivate' which will remove EMAN2 and its python version from PATH.
Mac users: If you don't understand what the .profile instructions are talking about, this may help: https://stackoverflow.com/questions/7501678/set-environment-variables-on-mac-os-x-lion
Mac users (bash only): On MacOS, this modifies ~/.profile. If you have a ~/.bash_profile startup file, ~/.profileMac taskbar for windows 7 free download. will not be read. A simple solution is to source .profile within .bash_profile. Add
to ~/.bash_profile.
Linux users: The new neural network based routines are much faster running on a GPU. If you have an NVidia graphics card, see Using the GPU section below.
Run these programs to see if the install worked:
If you have problems with any of these programs
The first thing to check is whether you have PYTHONPATH, PYTHONHOME, LD_LIBRARY_PATH or DYLD_LIBRARY_PATH set in your shell. While used in previous versions of EMAN, variables are no longer used, and in some cases may interfere with Anaconda. If they are set to make some other software package work, but they interfere with the programs above, you will have to unset them, and set them only when you need the other software.
Check PATH in your shell and make sure you have an entry that points to your installation, before any other python entries. The entry might look like like '<path-to-EMAN2-installation>/condabin' or similar. Probably, best not to have any other python entries at all in PATH.
Specifically, if only the last command fails and you are using an Nvidia graphics card, it is likely caused by a graphics card driver incompatibility. Updating the Nvidia driver usually fixes the problem. On recent Ubuntu systems, running apt-get install nvidia-current works. On other systems, you may need to follow the installation guide from Nvidia.
You will find that when you open a new shell, you will see (base) added to your command prompt. This indicates that Anaconda, the environment EMAN2 now uses for distribution, is active, and you can run EMAN2/SPARX/SPHIRE commands.
If this causes issues for other software, you can type conda deactivate and EMAN2 commands will no longer work (but any software that doesn't like Anaconda will work).
Alternatively, you can type conda config --set auto_activate_base False, which will prevent Anaconda from being activated automatically when you open new shells. In that case you will need to do a conda activate before running EMAN2/SPARX/SPHIRE commands.
Linux Clusters
Follow the Linux workstation instructions above.
When using EMAN2/SPARX/SPHIRE on a cluster, the version of OpenMPI provided with the EMAN2.31 binaries may not be aware of the batch queuing system used to launch jobs on the cluster, and may only be able to run on one node at a time unless you follow the OpenMPI reinstallation instructions below. Follow only ONE of the sets of instructions below.
You will need conda-build for the instructions to work. Binaries include it, but for source installations, it needs to be installed. conda install -n base conda-build=3.17.8 -c defaults
If you have a file named .condarc in your home directory, temporarily rename or move it for the following instructions to work properly.
Use system OpenMPI
Libgl1 Mesa Glx Centos
Most Linux clusters will have at least one OpenMPI installation on the cluster. In some cases there may be more than one, and you may have to select a 'module' to get the correct one. It is also critical that OpenMPI be compiled with the --disable-dlopen option. If you don't understand this statement, please consult with your cluster sysadmin.
Remove the OpenMPI we provided:
Make sure that the correct OpenMPI for your cluster is in your path. You should be able to run 'mpicc' and get a message like 'gcc: no input files'.
Rebuild Pydusa using the system installed OpenMPI.
Warning: If you see an error after this process like:
this means the fftw download failed. You will need to re-run this step, but first, delete the failed download : rm EMAN2/conda-bld/src_cache/fftw-3.3.6.tar.gz
Warning: If you see an error during this process like: this means the fftw build failed. On our system, this happened due to a libuuid library mismatch in combination with the omnipath cluster architecture. To workaround this situation try: Run this step again and revert this change after the whole installation process is complete.
Finally, install the compiled Pydusa:
Libgl1 Mesa Glx
Rebuild your own OpenMPI
This option insures that --disable-dlopen is used when compiling OpenMPI, but may lack some system-specific optimizations provided by your sysadmin.
Remove the OpenMPI we provided:
Rebuild OpenMPI.
It is important to have the hwloc library available on the system. It might be available with 'module load hwloc'. It is also important to have the libraries of the used queuing system available (slurm, Torque/PBS, SGE, ..).
Rebuild Pydusa using the rebuilt OpenMPI:
Warning: If you see an error after this process like:
this means the fftw download failed. You will need to re-run this step, but first, delete the failed download : rm EMAN2/conda-bld/src_cache/fftw-3.3.6.tar.gz
Warning: If you see an error during this process like: this means the fftw build failed. On our system, this happened due to a libuuid library mismatch in combination with the omnipath cluster architecture. To workaround this situation try: Run this step again and revert this change after the whole installation process is complete.
Finally, install the compiled Pydusa:
Windows
We are finally able to provide 64 bit Windows binaries for EMAN2, however, please see the Windows 10- Linux/Bash shell option below for what may be a better alternative. Notes:
SPARX/SPHIRE are not supported.
EMAN2 functionality may not be complete using this first approach. You may get more complete functionality, but with some additional effort using the Linux/Bash shell approach below.
Even for EMAN2, Windows support remains somewhat marginal, and is provided primarily for utility functions and basic GUI tools, like micrograph evaluation and particle picking. Complete refinements may not work well under Windows. You are welcome to ask questions in the mailing list, but there may be limited help we can provide because we simply don't have Windows machines around for testing.
Native Win7/10 64 bit
Download eman2.X.win64.exe.
Launch the installer.
Select Installation Type: Just Me
Choose Installation Location: Select a location with NO space in path
Advanced Installation Options: Don't add EMAN2 to PATH environment variable.
Open Anaconda Prompt by clicking Windows Start Menu -> Anaconda2 (64-bit) -> Anaconda Prompt.
In most cases you will want to install: Python Launcher.
Run these programs to see if the install worked:
Windows 10 - Linux/Bash shell
Windows 10 includes an embedded Ubuntu Linux environment. It is possible to run the EMAN2 Linux binaries within this Win10 environment, but you will need to install some additional dependencies to do so. Also, you will effectively be running at a Linux command prompt, so you will have to become a bit familiar with Linux to do this, but it does avoid installing an additional operating system on your machine.
Enable 'Windows Subsystem for Linux' and install Ubuntu or any other distribution that you are familiar with, https://www.howtogeek.com/249966/how-to-install-and-use-the-linux-bash-shell-on-windows-10/.
Install OpenGL.
Install Xming X Server for Windows.
Don't forget the fonts and Mesa (OpenGL) modules! If it seems to work, but the letters are black boxes, or you have other visual artifacts, the problem is probably with OpenGL support.
Set environment variables.
Download and install eman2.X.linux64.sh.
Start X Server before running eman2 programs.
Run these programs to see if the install worked:
Using the GPU
Libgl1 Mesa Dev Download
Currently, the GPU is only used for neural network operations in tomogram annotation and in particle picking. It provides a ~10 fold or more speed up in neural network training. The new GPU developments are currently based on TensorFlow. From about 2006-2012 EMAN2 had its own internal CUDA code, which could be compiled into the C++ library. This has been deprecated, and likely no longer works, though the code is still present. We are working on a new GPU support strategy moving forward.
Many machines will have CUDA installed already, and if CUDA is an appropriate version, this should work fine with the TensorFlow version shipped with EMAN2. However, if you are running newer versions of CUDA there may be problems. You can test compatibility quickly with:
If this command does not return an error, then you should be able to run deep learning software within EMAN2. If it does raise an error, then you will need to debug the problem:
If you do not have CUDA installed at all (and you are on a Linux machine with an NVidia GPU):
Installation depends on linux distribution, try your package manager for CUDA and/or CUDA-toolkit
for example, on Ubuntu 16.10:
If the version of CUDA you have installed is too new (definitely problems with 10.1, may be problems with earlier versions), then you will need to get a compatible tensorflow installed in your Anaconda environment. Here is one suggestion: