![]() Both options are documented on the page linked above. On versions including and after 19.03, you will use the nvidia-container-toolkit package and the -gpus all flag. Versions earlier than 19.03 require nvidia-docker2 and the -runtime=nvidia flag. Take note of your Docker version with docker -v.For GPU support on Linux, install NVIDIA Docker support.Is required on the host machine (the NVIDIA® CUDA® Toolkit does not need toīe installed). TensorFlow programs are run within this virtual environment thatĬan share resources with its host machine (access directories, use the GPU,ĭocker is the easiest way to enable TensorFlow GPU support on Linux since only the Plugging in your iOS device with the app running automatically connects to OBS Studio when using a single device.Create virtual environments that isolate a TensorFlow installation from the rest Use your iOS device as a webcam and stream your heart out! □ If at this point it doesn't automatically connect, tap the refresh devices button and then select your device in the list. (it is by default)Ĭonnect your iOS device to your computer using the lightning cable it came with. Open the Camera for OBS Studio App on your iPhone.Ĭonfirm that the USB output is selected in the apps' output settings. ![]() Make sure your iOS Device is unplugged to begin.Īdd a new "iOS Camera" source to your scene (only if there isn't one there from Step 2) There is a video of me running through these steps at the bottom if that's more your style - though I still recommend reading the steps below too. For best results, before starting make sure that your iOS device is disconnected and the Camera app closed.
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