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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 | ![]() | 220 | 3M | 1.7GB | Pointcloud preview |
house2 | ![]() | 952 | 25M | 8.6GB | Pointcloud preview |
house3 | ![]() | 182 | 5M | 1.4GB | Pointcloud preview |
house4 | ![]() | 367 | 10M | 5.2GB | Pointcloud preview |
ruins1 | ![]() | 391 | 6M | 3.1GB | Pointcloud preview |
ruins2 | ![]() | 1174 | 56M | 9.3GB | Pointcloud preview |
ruins3 | ![]() | 539 | 12M | 4.4GB | Pointcloud preview |
tower1 | ![]() | 783 | 42M | 6.1GB | Pointcloud preview |
tower2 | ![]() | 684 | 16M | 5.4GB | Pointcloud preview |
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
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"
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 support@dronedeploy.com.