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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