This repository contains the official python toolkit for running experiments and evaluate performance on VideoCube benchmark. The code is written in pure python and is compile-free.
VideoCube is a high-quality and large-scale benchmark to create a challenging real-world experimental environment for Global Instance Tracking (GIT) task.
Clone the repository and install dependencies:
git clone https://github.com/huuuuusy/videocube-toolkit.git
pip install -r requirements.txt
test-videocube.py is a simple example on how to use the toolkit to define a tracker, run experiments on VideoCube and evaluate performance.
The more detailed introduction will be uploaded soon.
Please report any problems or suggessions in the Issues page.