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EasySynth

Ydrive - 代码插件 - 2022/01/24

Easy to use plugin that enables generation of ground truth depth, normal, optical flow and semantic images.

  • 支持的平台
  • 支持的引擎版本
    4.27
  • 下载类型
    引擎插件
    此产品包含一款代码插件,含有预编译的二进制文件以及与虚幻引擎集成的所有源代码,能够安装到您选择的引擎版本中,并根据每个项目的需求启动。

EasySynth is an Unreal Engine plugin for the easy creation of image datasets from a moving camera, requiring no C++ or Blueprint knowledge. It leverages native Unreal Engine components to create compelling machine learning datasets, without relying on 3rd party tools.


The plugin provides a simple interface for semantic labeling of actors present in the scene and works by automatically starting the rendering of a user-defined level sequence, with different camera post-process settings. Outputs that can be created are the following:

  • CSV file with camera poses, including position, rotation, and calibration parameters
  • Color images rendered by default
  • Depth grayscale images
  • Pixel normal images
  • Optical flow images between frames
  • Images with actor' semantic labels


Check out this workflow timelapse for a detailed usage walk-though. Also, check out the latest code on the GitHub repo as well as the installation and the in-depth usage description.

技术细节

Features:

  • Enables definition of semantic classes through the UI widget, and their permanent saving
  • Enables semantic labeling of each actor in the scene, and labels' permanent saving
  • Enables toggling between original and semantic scene color
  • Enables rendering and exporting of the image types described above, by utilizing level sequences and the Movie render queue plugin
  • Enables exporting camera poses and calibration as a CSV file

Code Modules:

  •  Editor-only EasySynth module containing all needed content

Number of Blueprints: 6

Number of C++ Classes: 18

Network Replicated: No

Supported Development Platforms: Linux, Windows

Supported Target Build Platforms: Intended for editor-only usage

Documentation: Consult the GitHub repo

Example Project: EasySynthDemo