DPTracker

March 17, 2026 ยท View on GitHub

Python PyTorch CUDA

A simple and effective tracking framework for nighttime UAV Tracking.

DPTracker Overview

๐Ÿ“ฃ News

  • [2026.03] Model checkpoints and raw tracking results are now available!
  • [2026.02] Our paper has been accepted by ICRA 2026! ๐ŸŽ‰

๐Ÿ“ Download

๐Ÿ–ฅ๏ธ Environment

This repo is using Pytorch 2.1.2 with CUDA 11.8.

๐Ÿ› ๏ธ Setup

Create the default local file with paths:

python tracking/create_default_local_file.py \
    --workspace_dir ./ \
    --data_dir ./data \
    --save_dir ./output

๐Ÿ“ˆ Train

Preparation

Download the training data, including GOT-10K, LASOT, COCO, and TrackingNet, ExDark, Shift, and BDD100K.

Run

conda activate your_env
bash train.sh

๐Ÿ“Š Test

Preparation

Download the test data, including NAT2021, UAVDark135, DarkTrack2021.

Run

conda activate your_env
bash test.sh