kopia lustrzana https://github.com/OpenDroneMap/WebODM
Recommended Machine Specs in getting started
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README.md
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README.md
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@ -8,6 +8,7 @@ A user-friendly, commercial grade software for drone image processing. Generate
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- [Getting Started](#getting-started)
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* [Recommended Machine Specs](#recommended-machine-specs)
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* [Manual installation (Docker)](#manual-installation-docker)
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+ [Requirements](#requirements)
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+ [Installation with Docker](#installation-with-docker)
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@ -24,7 +25,6 @@ A user-friendly, commercial grade software for drone image processing. Generate
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* [Run the docker version as a Linux Service](#run-the-docker-version-as-a-linux-service)
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* [Run it natively](#run-it-natively)
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* [Run it on the cloud (Google Compute, Amazon AWS)](#run-it-on-the-cloud-google-compute-amazon-aws)
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- [Recommended Machine Specs](#recommended-machine-specs)
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- [Customizing and Extending](#customizing-and-extending)
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- [API Docs](#api-docs)
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- [Roadmap](#roadmap)
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@ -36,6 +36,7 @@ A user-friendly, commercial grade software for drone image processing. Generate
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- [License](#license)
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- [Trademark](#trademark)
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@ -46,6 +47,20 @@ Windows and macOS users can purchase an automated [installer](https://www.opendr
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There's also a cloud-hosted version of WebODM available from [webodm.net](https://webodm.net).
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## Recommended Machine Specs
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To run a standalone installation of WebODM (the user interface), including the processing component (NodeODM), we recommend at a minimum:
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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. 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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WebODM by itself is just a user interface (see [below](#odm-nodeodm-webodm-what)) and does not require many resources. WebODM can be loaded on a machine with just 1 or 2 GB of RAM and work fine without NodeODM. You can then use a processing service such as the [lightning network](https://webodm.net) or run NodeODM on a separate, more powerful machine.
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## Manual installation (Docker)
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To install WebODM manually on your machine with docker:
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@ -60,6 +75,7 @@ To install WebODM manually on your machine with docker:
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1. make sure Linux containers are enabled (Switch to Linux Containers...)
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2. give Docker enough CPUs (default 2) and RAM (>4Gb, 16Gb better but leave some for Windows) by going to Settings -- Advanced
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3. select where on your hard drive you want virtual hard drives to reside (Settings -- Advanced -- Images & Volumes).
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### Installation with Docker
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@ -421,19 +437,6 @@ To setup the firewall on Google Cloud, open the instance, on the middle of the i
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# Recommended Machine Specs
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To run a standalone installation of WebODM (the user interface), including the processing component (NodeODM), we recommend at a minimum:
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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. 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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WebODM by itself is just a user interface (see [below](#odm-nodeodm-webodm-what)) and does not require many resources. WebODM can be loaded on a machine with just 1 or 2 GB of RAM and work fine without NodeODM. You can then use a processing service such as the [lightning network](https://webodm.net) or run NodeODM on a separate, more powerful machine.
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# Customizing and Extending
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Small customizations such as changing the application colors, name, logo, or adding custom CSS/HTML/Javascript can be performed directly from the Customize -- Brand/Theme panels within WebODM. No need to fork or change the code.
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