PanopticStudio Toolbox

This repository shows how to work with the Panoptic Studio (Panoptic) data.

Quick start guide

Follow these steps to set up a simple example:

1. Check out the codebase

git clone https://github.com/CMU-Perceptual-Computing-Lab/panoptic-toolbox
cd panoptic-toolbox

2. Download the sample data

This bash script requires curl or wget.

./scripts/getData.sh sampleData

You can also download any other seqeunce through this script. Just use the the name of the target sequence instead of the "sampleData".

./scripts/getData.sh 160422_ultimatum

You can also specify the number of videos you want to donwload.

./scripts/getData.sh sampleData (VGA_Video_Number) (HD_Video_Number)

For example, the following command will download 240 vga videos and 10 videos.

./scripts/getData.sh sampleData 240 10

Note that we have sorted the VGA camera order so that you download uniformly distributed view.

3. Extract the images & skeleton data

This step requires ffmpeg.

./scripts/extractAll.sh sampleData

This will extract images, for example sampleData/vgaImgs/01_01/01_01_00000000.png, and the corresponding 3D skeleton data, for example sampleData/vgaPose3d_stage1/body3DScene_00000000.json.

extractAll.sh is a simple script that combines the following set of commands (you shouldn't need to run these again):

cd sampleData
../scripts/vgaImgsExtractor.sh # PNG files from VGA video (25 fps)
../scripts/hdImgsExtractor.sh # PNG files from HD video (29.97 fps)
tar -xf vgaPose3d_stage1.tar # Extract skeletons at VGA framerate
tar -xf hdPose3d_stage1.tar # Extract skeletons for HD
cd ..

4. Run the examples

Python examples (require numpy, matplotlib):

cd python
jupyter notebook example.ipynb

The result should look like this.

Matlab example:

>>> cd matlab
>>> demo

KinopticStudio Toolbox

Kinoptic Studio is a subsystem of Panoptic Studio, which is composed of 10 Kinect2 sensors.

Kinoptic Studio can be independently used from the Panoptic Studio.

See our tutorial page for more details about calibration and synchronization.

Quick start guide

Follow these steps to set up a simple example:

1. Download a data

Assuming you want to donwload a sequence named "160422_haggling1"

./scripts/getData_kinoptic.sh 160422_haggling1

This script will download the following files.

• 160422_haggling1/kinect_shared_depth/ksynctables.json #sync table
• 160422_haggling1/kinect_shared_depth/KINECTNODE%d/depthdata.dat #depth files
• 160422_haggling1/kcalibration_160422_haggling1.json #multiple kinects calibration files
• 160422_haggling1/kinectVideos/kinect_50_%d.mp4 #rgb video files

2. Extract RGB frames

cd 160422_haggling1
../scripts/kinectImgsExtractor.sh

3. Run demo to generate point clouds from 10 kinects

matlab ./matlab/demo_kinoptic_gen_ptcloud.m

Note that you should set your "root_path" and "seqName" in this demo file.

4. Run demo to project point clouds on a HD view

matlab ./matlab/demo_kinoptic_projection.m

Similarly, note that you should set your "root_path" and "seqName" in this demo file.