https://github.com/rohitgajawada/Where-are-they-looking-PyTorch

Where are they looking? - Gaze Following via Attention modelling and Deep Learning
https://github.com/rohitgajawada/Where-are-they-looking-PyTorch

Last synced: 2 months ago
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Where are they looking? - Gaze Following via Attention modelling and Deep Learning

• Host: GitHub
• URL: https://github.com/rohitgajawada/Where-are-they-looking-PyTorch
• Owner: rohitgajawada
• License: mit
• Created: 2017-10-18T18:22:30.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-06-16T07:42:47.000Z (about 5 years ago)
• Last Synced: 2024-01-24T08:16:49.783Z (5 months ago)
• Language: Python
• Homepage:
• Size: 13.8 MB
• Stars: 33
• Watchers: 6
• Forks: 10
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-cv - Where are they looking? PyTorch Implementation
• awesome-cv - Where are they looking? PyTorch Implementation

README

        
# Where are they looking?

This repository contains an implementation of the "Where are they looking?" paper by A. Recasens*, A. Khosla*, C. Vondrick and A. Torralba.

## Introduction

A deep neural network-based approach for gaze-following automated using a SSD face detector.

## Installation

- [Pytorch 1.1 & Torchvision](https://pytorch.org/)

## Usage

* First, download pretrained Places365 AlexNet model: https://urlzs.com/ytKK3

* Then run: python3 main.py --data_dir=`location to gazefollow dataset` --placesmodelpath=`location to places365 alexnet model`

* Please check out opts.py for other parameter changing.

## Contact

Please do get in touch with us by email for any questions, comments, suggestions you have!

* [email protected]

* [email protected]

## References

* sfzhang15's SFD detector is used for face detection (https://github.com/sfzhang15/SFD).

* Link to the NIPS 2015 paper from MIT: http://people.csail.mit.edu/khosla/papers/nips2015_recasens.pdf. Please cite them if you decide to use this project for your research.