The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .
The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .
The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction has clean dense geometry, high resolution and high dynamic range textures, glass and mirror surface information, planar segmentation as well as semantic class and instance segmentation. See the technical report for more details.
The Replica SDK contained in this repository allows visual inspection of the datasets via the ReplicaViewer and gives an example of how to render out images from the scenes headlessly via the ReplicaRenderer.
For machine learning purposes each dataset also contains an export to the format employed by AI Habitat and is therefore usable seamlessly in that framework for AI agent training and other ML tasks.
If you use the Replica dataset in your research directly or indirectly via derivative datasets or frameworks, please cite the following technical report:
…The following 18 scenes are included in this initial release:
Each Replica contains the following assets:
├── glass.sur
├── habitat
├── mesh_semantic.ply
├── mesh_semantic.navmesh
├── info_semantic.json
├── mesh_preseg_semantic.ply
├── mesh_preseg_semantic.navmesh
├── info_preseg_semantic.json
├── replica_stage.stage_config.json
└── sorted_faces.bin
├── mesh.ply
├── preseg.bin
├── preseg.json
├── semantic.bin
├── semantic.json
└── textures
├── 0-color-ptex.hdr
├── 0-color-ptex.w
├── 1-color-ptex.hdr
├── 1-color-ptex.w
├── ...
└── parameters.jsonThe different files contain the following:
glass.sur: parameterization of glass and mirror surfaces.mesh.ply: the quad mesh of the scene with vertex colors.preseg.json and preseg.bin: the presegmentation in terms of planes and non-planes of the scene.semantic.json and semantic.bin: the semantic segmentation of the scene.textures: the high resolution and high dynamic range textures of the scene.habitat/mesh*semantic.ply: the quad meshes including semantic or presegmentation information for AI Habitat. habitat/info*semantic.json: mapping from instance IDs in the respective mesh_*.ply to semantic names.habitat/mesh*semantic.navmesh: navigation grid for AI Habitat.habitat/replica_stage.stage_config.json: configuration file defining scene level parameters for habitat-sim.habitat/sorted_faces.bin: binary file containing pre-processed geometry data for habitat-sim Ptex rendering support.Make sure pigz, wget, and unzip are installed:
# on Mac OS
brew install wget pigz unzip
# on Ubuntu
sudo apt-get install wget pigz unzipTo download and decompress the dataset use the download.sh script:
./download.sh /path/to/replica_v1Execute win_download.bat to download Replica.
After installing the dependencies of Pangolin, the Replica SDK can be compiled using the build script via
git submodule update --init
./build.shIt requires the dependencies of Pangolin and Eigen to be installed. If you wish to use the headless renderer ensure you have the libegl1-mesa-dev package.
ReplicaViewer is an interactive UI to explore the Replica Dataset.
./build/bin/ReplicaViewer mesh.ply /path/to/atlases [mirrorFile]The exposure value for rendering from the HDR textures can be adjusted on the top left.
The ReplicaRenderer shows how to render out images from a Replica for a programmatically defined trajectory without UI. This executable can be run headless on a server if so desired.
./build/bin/ReplicaRenderer mesh.ply textures glass.surTo use Replica within AI Habitat checkout the AI Habitat Sim at https://github.com/facebookresearch/habitat-sim. After building the project you can launch the test viewer to verify that everything works:
./build/viewer --dataset /PATH/TO/REPLICA/replica.scene_dataset_config.json -- frl_apartment_0Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, and Richard Newcombe.
The Replica dataset would not have been possible without the hard work and contributions of Matthew Banks, Christopher Dotson, Rashad Barber, Justin Blosch, Ethan Henderson, Kelley Greene, Michael Thot, Matthew Winterscheid, Robert Johnston, Abhijit Kulkarni, Robert Meeker, Jamie Palacios, Tony Phan, Tim Petrvalsky, Sayed Farhad Sadat, Manuel Santana, Suruj Singh, Swati Agrawal, and Hannah Woolums.
See the LICENSE file for details.
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