https://github.com/peizhaoli05/EDA_GNN

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
https://github.com/peizhaoli05/EDA_GNN

Last synced: about 2 months ago
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Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking

• Host: GitHub
• URL: https://github.com/peizhaoli05/EDA_GNN
• Owner: peizhaoli05
• Created: 2019-05-04T09:19:26.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-11-22T03:47:46.000Z (almost 2 years ago)
• Last Synced: 2024-05-22T08:32:55.237Z (4 months ago)
• Language: Python
• Homepage:
• Size: 35.2 KB
• Stars: 63
• Watchers: 4
• Forks: 18
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

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• awesome-multiple-object-tracking - [code

README

        
# Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking

A PyTorch implementation combines with Siamese Network and Graph Neural Network for Online Multiple-Object Tracking.

Dataset available at [https://motchallenge.net/]

According paper can be found at [https://arxiv.org/abs/1907.05315]

## How to run

Use `python main.py` to train a model from scratch. Settings for training is in `config.yml`.  

Use `python tracking.py` to track a test video, meanwhile you need to provide the detected objects & tracking results for the first five frames. Setting for tracking is in `setting/`.

## Requirements

 - Python 2.7.12

 - numpy 1.11.0

 - scipy 1.1.0

 - torchvision 0.2.1

 - opencv_python 3.3.0.10

 - easydict 1.7

 - torch 0.4.1

 - Pillow 6.2.0

 - PyYAML 5.1