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Unrealcv

UnrealCV: Connecting Computer Vision to Unreal Engine

From unrealcv·Updated June 19, 2026·View on GitHub·

[![Docs Status](https://readthedocs.org/projects/unrealcv/badge/?version=latest )](http://docs.unrealcv.org) The project is written primarily in Python, distributed under the MIT License license, first published in 2016. It has gained significant community traction with 2,188 stars and 461 forks on GitHub. Key topics include: computer-vision, embodied-ai, machine-learning, simulation, synthetic-data.

Latest release: v0.3.10
October 22, 2017View Changelog →

UnrealCV

Join the chat at https://gitter.im/unrealcv/unrealcv
Docs Status

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UnrealCV is a project to help computer vision researchers build virtual worlds using Unreal Engine (UE). It extends UE with a plugin by providing:

  1. A set of UnrealCV commands to interact with the virtual world.
  2. Communication between UE and an external program, such as Pytorch/Tensorflow.

UnrealCV can be used in two ways.

  • 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.
  • The second is installing the UnrealCV plugin into Unreal Engine and using the editor to build a new virtual world.

Please read Tutorial: Getting Started to learn using UnrealCV.

<center> <img src="http://unrealcv.github.io/images/homepage_teaser.png" alt="annotation"/> Images generated from the technical demo <a href="http://docs.unrealcv.org/en/master/reference/model_zoo.html#realisticrendering">RealisticRendering</a><br> </center>

New Features

  • Support Unreal Engine 5.6 (recommended).
  • Optical flow image capture: vget /camera/[id]/optical_flow [format].
  • Call any Blueprint function from Python by vbp [obj_name] [func_name] [arg1] [arg2] ... command.
  • Support RPC communication between Server and Client in Linux, higher FPS and more reliable.
  • A set of new commands for camera control and object manipulation, please refer to command system for more details.

How to install UnrealCV

To install the UnrealCV Server, you need:

  1. Download the source code and place it on the Plugin folder of a C++ UE project.
  2. 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.
  3. To check the success installation of UnrealCV, you can run vget /unrealcv/status in the console (Press ` to display the console).

To install the UnrealCV Client, just run:
pip install unrealcv

🚩 Note: More pre-built UE binaries with UnrealCV can be found in the UnrealZoo.

Citation

If you found this project useful, please consider citing our paper

bibtex
@article{qiu2017unrealcv, Author = {Weichao Qiu, Fangwei Zhong, Yi Zhang, Siyuan Qiao,Zihao Xiao, Tae Soo Kim, Yizhou Wang, Alan Yuille}, Journal = {ACM Multimedia Open Source Software Competition}, Title = {UnrealCV: Virtual Worlds for Computer Vision}, Year = {2017} }

Contact

If you have any suggestion or interested in using UnrealCV, please contact us.

Contributors

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This article is auto-generated from unrealcv/unrealcv via the GitHub API.Last fetched: 6/21/2026