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Compute Plugins","Machine Learning / AI / Vision :","[Unreal Engine](https://www.unrealengine.com/en-US/)","Game Development"],"sub_categories":["Videos","Unreal Engine: Resources"],"readme":"# UnrealCV\n\n[![Join the chat at https://gitter.im/unrealcv/unrealcv](https://badges.gitter.im/unrealcv/unrealcv.svg)](https://gitter.im/unrealcv/unrealcv?utm_source=badge\u0026utm_medium=badge\u0026utm_campaign=pr-badge\u0026utm_content=badge)\n[![Docs Status](https://readthedocs.org/projects/unrealcv/badge/?version=latest\n)](http://docs.unrealcv.org)\n\n\u003c!-- [![Build Status](https://travis-ci.org/unrealcv/unrealcv.svg?branch=master)](https://travis-ci.org/unrealcv/unrealcv) --\u003e\n\nUnrealCV is a project to help computer vision researchers build virtual worlds using Unreal Engine (UE). It extends UE with a plugin by providing:\n\n1. A set of UnrealCV commands to interact with the virtual world.\n2. Communication between UE and an external program, such as Pytorch/Tensorflow.\n\nUnrealCV can be used in two ways. \n- The first one is using a compiled game binary with UnrealCV embedded. This is as simple as running a game, no knowledge of Unreal Engine is required. \n- The second is installing the UnrealCV plugin into Unreal Engine and using the editor to build a new virtual world.\n\nPlease read [Tutorial: Getting Started](http://unrealcv.github.io/tutorial/getting_started.html) to learn using UnrealCV.\n\n\u003ccenter\u003e\n\u003cimg src=\"http://unrealcv.github.io/images/homepage_teaser.png\" alt=\"annotation\"/\u003e\nImages generated from the technical demo \u003ca href=\"http://docs.unrealcv.org/en/master/reference/model_zoo.html#realisticrendering\"\u003eRealisticRendering\u003c/a\u003e\u003cbr\u003e\n\u003c/center\u003e\n\n## New Features\n - Support Unreal Engine 5.5.\n - Call any Blueprint function from Python by `vbp [obj_name] [func_name] [arg1] [arg2] ...` command.\n - Support RPC communication between Server and Client in Linux, higher FPS and more reliable.\n - A set of new commands for camera control and object manipulation, please refer to [command system](https://docs.unrealcv.org/en/latest/reference/commands.html) for more details.\n\n## How to install UnrealCV\nTo install the UnrealCV `Server`, you need:\n1. Download the source code and place it on the ``Plugin`` folder of a C++ UE project.\n2. Launch the C++ project with Visual Studio, UnrealCV will be compiled at the same time. Note that visual studio version should be compatible with your [UE version](https://dev.epicgames.com/documentation/en-us/unreal-engine/setting-up-visual-studio-development-environment-for-cplusplus-projects-in-unreal-engine).\n3. To check the success installation of UnrealCV, you can run ``vget /unrealcv/status`` in the console (Press **`** to display the console).\n\nTo install the UnrealCV `Client`, just run:\n``pip install unrealcv``\n\n\u003e **🚩 Note:** More pre-built UE binaries with UnrealCV can be found in the [UnrealZoo](http://unrealzoo.site/).\n\n## Citation\n\nIf you found this project useful, please consider citing our paper\n\n```bibtex\n@article{qiu2017unrealcv,\n  Author = {Weichao Qiu, Fangwei Zhong, Yi Zhang, Siyuan Qiao,Zihao Xiao, Tae Soo Kim, Yizhou Wang, Alan Yuille},\n  Journal = {ACM Multimedia Open Source Software Competition},\n  Title = {UnrealCV: Virtual Worlds for Computer Vision},\n  Year = {2017}\n}\n```\n\n## Contact\nIf you have any suggestion or interested in using UnrealCV, please [contact us](http://unrealcv.github.io/contact.html).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funrealcv%2Funrealcv","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Funrealcv%2Funrealcv","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funrealcv%2Funrealcv/lists"}