Scene-LSTM

This code/implementation is available for research purposes. If you are using this code/data for your work, please cite the following paper:

Manh, Huynh and Alaghband, Gita. Scene-LSTM: A Model for Human Trajectory Prediction. arXiv preprint arXiv:1808.04018 (2018).

A new version of this paper will be coming soon.

This repository contains

✔️ Processed data (in pixel and meter metrics) for ETH and UCY datasets. This data was also used in SGAN method.

├── data 
│     ├── pixel/*.txt
│     ├── meter/*.txt

✔️ Scripts to convert pixel to meter and vice versa. Double check the paths to homography matrices and input files.

├── data_utils
│     ├── homography_matrix/*.txt
│     ├── eth_utils/*.m (matlab scripts to process eth data)
│     ├── data_utils/*.m (matlab scripts to process ucy data))

• Visualization scripts. (will be available soon)
• My implementation for LSTM. (will be available soon).
• My implementation for Social-LSTM. (will be available soon)
• My implementation for Scene-LSTM. (will be available soon)

Dependencies

The code was tested on Centos 7.0 with python 3.6.8 and pytorch 1.0.0.
The environment was setup using conda 4.5.12. Additional packages should be installed.

Pre-trained models