22 lines
1.2 KiB
Markdown
22 lines
1.2 KiB
Markdown
# Towards-Realtime-MOT
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Still in progress, will update constantly, thank you for your attention!
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## Introduction
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This repo is the a codebase of the Joint Detection and Embedding (JDE) model. JDE is a fast and high-performance multiple-object tracker that learns the object detection task and appearance embedding task simutaneously in a shared neural network. Techical details are described in our [arXiv preprint paper](https://arxiv.org). By using this repo, you can simply achieve **MOTA 64%+** on the "private" protocol of [MOT-16 challenge](https://motchallenge.net/tracker/JDE), and with a near real-time speed at **18~24 FPS** (Note this speed is for the entire system, including the detection step! ) .
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We hope this repo will help researches/engineers to develop more practical MOT systems. For algorithm development, we provide training data, baseline models and evaluation methods to make a level playground. For application usage, we also provide a small video demo that takes raw videos as input without any bells and whistles.
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## Installation
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## Video Demo
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## Dataset zoo
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## Pretrained Models
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## Test on MOT-16 Challenge
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## Training
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## Train with custom datasets
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