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DroneDeploy NeRF Dataset

DroneDeploy NeRF Dataset ("DNF") contains a number of real world scenes captured by drone that include high resolution images, camera poses (intrinsics and extrinsics) and dense color point clouds. It is intended for computer vision research. All reconstructions were created using DroneDeploy.

Information

Name Image Images Points Size Preview
house1 house1 220 3M 1.7GB Pointcloud preview
house2 house2 952 25M 8.6GB Pointcloud preview
house3 house3 182 5M 1.4GB Pointcloud preview
house4 house4 367 10M 5.2GB Pointcloud preview
ruins1 ruins1 391 6M 3.1GB Pointcloud preview
ruins2 ruins2 1174 56M 9.3GB Pointcloud preview
ruins3 ruins3 539 12M 4.4GB Pointcloud preview
tower1 tower1 783 42M 6.1GB Pointcloud preview
tower2 tower2 684 16M 5.4GB Pointcloud preview
pipes1 pipes1 98 7M 1.3GB Pointcloud preview

Download

Download Links: https://drive.google.com/drive/folders/1kMHAS5l9Zy9yWHp6N4icm2xC7sIeThs7

Structure

house1/
   - cameras.xml
   - images
      - 00001.jpg
      - 00002.jpg
      - 00003.jpg
   - points
      - points.ply
house2/ ...
house3/ ...
  ...

The cameras.xml contains the poses of each camera along with the distortion parameters, intrinsics and extrinsics. See tools/util.py for working with this file directly. The images directory contains the images and points/points.ply contains the dense pointcloud with x,y,z,red,green,blue.

Tools

The tools directory contains an expanding collection of tools for working with and transforming the dataset. Contributions are welcome.

tools/dd2ngp.py - create a cameras.json ready for use with Instant Neural Graphics Primitives. The default cameras.json is included in each zip of the dataset and uses the 50 nearest images to the center of the scene. If you want to use different cameras you can use this script to re-generate a cameras.json.

Usage

instant-ngp$ ./build/testbed --scene ./datasets/house1/cameras.json

ngp

or

python scripts/run.py --mode="nerf" --scene="house1/cameras.json" --screenshot_transforms="house1/cameras.json"  --width="1216" --height="912" --screenshot_dir="house1/output" --near_distance="0"  --screenshot_spp="16"

script

License and Citation

@misc{Pilkington2022,
  author = {Nicholas Pilkington},
  title = {DroneDeploy NeRF Dataset},
  year = {2022},
  month = may
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/nickponline/dd-nerf-dataset}},
}

This work is made available for academic use under CC BY-NC-SA. For commercial use and queries please contact [email protected].

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NerF computer vision dataset

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