add lightspeed

README.md

@@ -15,6 +15,10 @@ task_categories:
 [Ming-Yu Liu<sup>1</sup>](https://mingyuliu.net/), [David F. Fouhey<sup>3</sup>](https://cs.nyu.edu/~fouhey/), [Chen-Hsuan Lin<sup>1</sup>](https://chenhsuanlin.bitbucket.io/) \
 <sup>1</sup>NVIDIA <sup>2</sup>University of Michigan <sup>3</sup>New York University
 
+## 🎉 Updates
+- **[2025.05]** We have released the Lightspeed benchmark, a new dataset with ground-truth camera poses for validating DynPose-100K's pose annotation method. See [download instructions](#lightspeed-benchmark-download) below.
+- **[2025.04]** We have made the initial release of DynPose-100K, a large-scale dataset of diverse, dynamic videos with camera annotations. See [download instructions](#dynpose-100k-download) below.
+
 [![Project Website](https://img.shields.io/static/v1?label=Project&message=Website&color=red)](https://research.nvidia.com/labs/dir/dynpose-100k) [![arXiv](https://img.shields.io/badge/arXiv-2504.17788-b31b1b.svg)](https://arxiv.org/abs/2504.17788)
 
 ![DynPose-100K Teaser](teaser.png)
@@ -122,11 +126,60 @@ dynpose_100k
  |     └── ...
  ```
 
-## LightSpeed Benchmark
+## Lightspeed Benchmark Download
+
+Lightspeed is a challenging, photorealistic benchmark for dynamic pose estimation with **ground-truth** camera poses. It is used to validate DynPose-100K's pose annotation method.
+
+Original video clips can be found here: https://www.youtube.com/watch?v=AsykNkUMoNU&t=1s
+
+### 1. Downloading cameras, videos and frames (8.1 GB)
 
-LightSpeed contains ground truth camera pose and is used to validate DynPose-100K's pose annotation method.
+```bash
+git clone https://huggingface.co/datasets/nvidia/dynpose-100k
+cd dynpose-100k
+unzip lightspeed.zip
+export LIGHTSPEED_PARENT=$(pwd)/lightspeed
+```
 
-Coming soon!
+### 2. Dataset structure
+```
+lightspeed
+ ├── poses.pkl
+ |     ├── 0120_LOFT {id_setting}
+ |          ├── poses {camera poses (all frames) ([N,3,4])}
+ |          # where N is number of frames
+ |     ├── 0180_DUST
+ |          ├── poses {camera poses (all frames) ([N,3,4])}
+ |     └── ...
+ ├── video
+ |     ├── 0120_LOFT.mp4 {id_setting}
+ |     ├── 0180_DUST.mp4
+ |     └── ...
+ ├── frames-24fps
+ |     ├── 0120_LOFT/images {id_setting}
+ |          ├── 00000.png {frame id}
+ |          ├── 00001.png
+ |          └── ...
+ |     ├── 0180_DUST/images
+ |          ├── 00000.png
+ |          └── ...
+ |     └── ...
+ ├── viz_list.txt {used as index for pose visualization}
+ |     ├── 0120_LOFT.mp4 {id_setting}
+ |     ├── 0180_DUST.mp4
+ |     └── ...
+ ```
+
+### 3. Camera pose visualization
+Create a conda environment if you haven't done so:
+```bash
+conda env create -f environment.yml
+conda activate dynpose-100k
+```
+Run the below under the `dynpose-100k` environment:
+```bash
+python visualize_pose.py --dset lightspeed --dset_parent ${LIGHTSPEED_PARENT}
+```
 
 ## FAQ
 

lightspeed.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e168f49f2a8facc8ed014868d0a7de408e6b6bedcc88067b821a88a182fb90c
+size 8732366493