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Home Page: http://domedb.perception.cs.cmu.edu/

MATLAB 5.14% Jupyter Notebook 94.14% Python 0.38% Shell 0.34%

panoptic-toolbox's Introduction

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

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

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