![]() but since you are running PsychoPy under your own Python (Anaconda). Generally nVidia and ATI (AMD) graphics chips are high-performance than Intel graphics chips so try and get one of those instead.įor more information about hardware requirements, please read PsychoPy documentation. To install the new version of TensorFlow in Conda prompt you can use the below. of Anaconda is using Python 3.6.7, and PsychoPy is using Python 3.6.5. High-end graphics cards can be very expensive but are only needed for very intensive use. I hope that this is a first step towards getting PsychoPy to run with Python 3. It is inexpensive to upgrade most desktop computers to an adequate graphics card. If you already have a computer, you can install PsychoPy and the Configuration Wizard will auto-detect the card and drivers, and provide more information. Ideally the graphics card should support OpenGL version 2.0 or higher.Ĭertain visual functions run much faster if OpenGL 2.0 is available, and some require it (e.g. Many newer graphics cards will work well. Next I needed to upgrade xcode tools to the latest version: sudo softwareupdate -ia -verbose (NB: this runs all available updates from the app store, there is a way to specify that you only want to update one app/program, but I dont know it off the top of my head). The minimum requirement for PsychoPy is a computer with a graphics card that supports OpenGL. Here are the steps I needed to go through for Mojave: First xcode-select -reset. This is the extreme possibility that VDI can give the researcher. Think of your work situation: one day you need a regular machine with Office and Endnote, whereas the next day requires 128GiB RAM and 8 CPUs for heavier runs of Stata MP8, and on the third day you are in the need of a desktop with 1000 virtual GPU processor cores and 250GiB RAM, before returning to normal Office and Endnote to end your publication. With VDI we can easily configure a virtual desktop machine with the needed RAM, CPU, available software and other resources, with a high degree of flexibility for the researchers. By providing the user with a reasonably well-equipped virtual machine (VM), it will be possible to give a regular user a machine with more appropriate custom performance. When you purchase a computer, you get a machine with far greater performance than would be satisfactory for most common users. We have set up a few virtual desktop machines running Windows 10 for users of PyschoPy. The service can run Windows 10 and Linux, and can be accessed from VMWARE Horizont client and ![]()
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