![]() Libmtdev = cdll.LoadLibrary('libmtdev.so.1')įile "/home/you/miniconda3/envs/donkey/lib/python3.7/ctypes/init.py", line 442, in LoadLibraryįile "/home/you/miniconda3/envs/donkey/lib/python3.7/ctypes/init.py", line 364, in init If you use the Donkey UI and see the following error: MTDev is not supported by your version of linuxįile "/home/you/miniconda3/envs/donkey/lib/python3.7/site-packages/kivy/input/providers/init.py", line 41, in įile "/home/you/miniconda3/envs/donkey/lib/python3.7/site-packages/kivy/input/providers/mtdev.py", line 84, in įile "/home/you/miniconda3/envs/donkey/lib/python3.7/site-packages/kivy/lib/mtdev.py", line 29, in Experimental Support - GPU Users: Install Tensorflow GPU - only for NVIDIA Graphics cardsĭonkey createcar -path.Once you're done with this, close the Ubuntu terminal and then reopen it so the path changes take effect. Install the following two libraries for the UI to work: sudo apt-get install libmtdev1 xclipĬhange to a directory that you would like to use as the head of all your projects. Install pip using sudo apt install python3-pip Open the Ubuntu App to get a prompt window via Start Menu | Ubuntu Download a Linux Distribution from the Microsoft Store (recommend Ubuntu Latest).If using Windows 10 (this is not necessary for Windows 11), turn on Windows 10 "Windows Subsystem for Linux" Feature (Settings > Apps > Programs and Features > Turn Windows features on or off).The Windows Subsystem for Linux (WSL) lets developers run a GNU/Linux environment - including most command-line tools, utilities, and applications - directly on Windows, unmodified, without the overhead of a traditional virtual machine or dualboot setup. You can find all the templates in the donkeycar/donkeycar/templates folder There are a number of different templates to choose from in Donkey Car. pip3 install tensorflowĭonkey createcar -path \Users\\projects\mycar -template complete If you have an NVIDIA card, you should update to the lastest drivers and install Cuda SDK. Recommended for GPU Users: Install Tensorflow GPU - only for NVIDIA Graphics cards.NOTE: The main branch has the latest (unstable) version of donkeycar with experimental features. Open Command Prompt as Administrator via the Start Menu (cmd.exe | right-click | run as administrator)Ĭhange to a folder that that you would like to use for all your projects ![]() During install make sure you check Git to run 'from command line and also from 3rd-party software'. Type conda activate donkey to re-enable the mappings to donkey specific Note: After closing the Anaconda Prompt, when you open it again, you will need to You can find out your CUDA version by running nvcc -version or nvidia-smi. You should replace with your CUDA version. If you have an NVidia card, you should update to the lastest drivers and install Cuda SDK. Optionally configure PyTorch to use GPU - only for NVidia Graphics cards.If you have an NVidia card, you should update to the latest drivers and install Cuda SDK. Optionally Install Tensorflow GPU - only for NVidia Graphics cards.You'll need to escape the brackets and run pip install -e. Note: if you are using ZSH (you'll know if you are), you won't be able to run pip install -e. If this is not your first install, update Conda and remove old donkeyĬonda env create -f install\envs\windows.yml.Note: There are currently version changes happening on the main branch so you might rather want to check out a stable release as explained below. If the command is not found, then install git 64 bitĬhange to a dir you would like to use as the head of your projects. Open the Anaconda prompt window via Start Menu | Anaconda 64bit | Anaconda Prompt If you are unfamiliar or concerned about the way that you install Donkey Car, please use option 1 above. Windows Subsystem for Linux (WSL) - Experimental.Windows provides a few different methods for setting up and installing Donkey Car.
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