kopia lustrzana https://github.com/OpenDroneMap/WebODM
Merge pull request #1227 from jekhor/master
README.md: Add info about nvidia-docker installationpull/1233/head
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@ -216,7 +216,7 @@ To run a standalone installation of WebODM (the user interface), including the p
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* 100 GB free disk space
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* 16 GB RAM
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Don't expect to process more than a few hundred images with these specifications. To process larger datasets, add more RAM linearly to the number of images you want to process. A CPU with more cores will speed up processing, but can increase memory usage. GPU acceleration is also supported. To make use of your CUDA-compatible graphics card, make sure to pass `--gpu` when starting WebODM.
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Don't expect to process more than a few hundred images with these specifications. To process larger datasets, add more RAM linearly to the number of images you want to process. A CPU with more cores will speed up processing, but can increase memory usage. GPU acceleration is also supported. To make use of your CUDA-compatible graphics card, make sure to pass `--gpu` when starting WebODM. You need the nvidia-docker installed in this case, see https://github.com/NVIDIA/nvidia-docker and https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker for information on docker/NVIDIA setup.
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WebODM runs best on Linux, but works well on Windows and Mac too. If you are technically inclined, you can get WebODM to run natively on all three platforms.
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