You can set up the computer to Dual Boot (example: Windows and Ubuntu) or have the computer run a dedicated Ubuntu only system. Some colleagues have reported success with Ubuntu 18.04, but we recommend 16.04 as it is currently better supported by the DeepLabCut community. Setting up an Operating SystemĭeepLabCut runs best on a Linux based operating system, ideally Ubuntu 16.04. You can copy this design by getting the parts listed here. We built our own computer to run both DeepLabCut and the super cool Neuropixels project. Make sure that your GPU is CUDA 9.0+ compatible before purchasing. But note that DeepLabCut currently only runs on certain NVIDIA GPU’s, so it is critical to choose a GPU that can support DeepLabCut. It can run it on just a CPU, but a good GPU (8 GB such as the NVIDIA GeForce 1080 Ti) will make things significantly faster. ComputerĭeepLabCut can run on a wide variety of computers. ONE Core notes/user guide/overview of DLC can be found here. Markerless pose estimation of user-defined body parts with deep learning},Īuthor = ,
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