Visual Tracking by TridenAlign and Context Embedding

Overview

Visual Tracking by TridentAlign and Context Embedding (TACT)

Test code for "Visual Tracking by TridentAlign and Context Embedding"

Janghoon Choi, Junseok Kwon, and Kyoung Mu Lee

arXiv paper

Overall Framework

Results on LaSOT test set

Dependencies

  • Ubuntu 18.04
  • Python==2.7.17
  • numpy==1.16.5
  • pytorch==1.3.0
  • matplotlib==2.2.4
  • opencv==4.1.0.25
  • moviepy==1.0.0
  • tqdm==4.32.1

Usage

Prerequisites

  • Download network weights from Google drive
  • Copy network weight files ckpt_res18.tar and ckpt_res50.tar to ckpt/ folder
  • Choose between TACT-18 and TACT-50 by modifying the cfgs/cfg_test.py file (default: TACT-50)

To test tracker on LaSOT test set

  • Download LaSOT dataset from link
  • Modify cfgs/cfg_test.py file to local LaSOTBenchmark folder path
  • Run python test_tracker.py

To test tracker on an arbitrary sequence

  • Using run_track_seq() function in tracker_batch.py, tracker can run on an arbitrary sequence
  • Provide the function with following variables
    • seq_name : name of the given sequence
    • seq_path : path to the given sequence
    • seq_imlist : list of image file names of the given sequence
    • seq_gt : ground truth box annotations of the given sequence (may only contain annotation for initial frame, [x_min,y_min,width,height] format)

Raw results on other datasets

Citation

If you find our work useful for your research, please consider citing the following paper:

@article{choi2020tact,
  title={Visual tracking by tridentalign and context embedding},
  author={Choi, Janghoon and Kwon, Junseok and Lee, Kyoung Mu},
  journal={arXiv preprint arXiv:2007.06887},
  year={2020}
}
Owner
Janghoon Choi
Janghoon Choi
A clean and extensible PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

A clean and extensible PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners A PyTorch re-implementation of Mask Autoencoder trai

Tianyu Hua 23 Dec 13, 2022
Code & Experiments for "LILA: Language-Informed Latent Actions" to be presented at the Conference on Robot Learning (CoRL) 2021.

LILA LILA: Language-Informed Latent Actions Code and Experiments for Language-Informed Latent Actions (LILA), for using natural language to guide assi

Sidd Karamcheti 11 Nov 25, 2022
Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)

Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021) Single-cause Perturbation (SCP) is a framework to estimate the m

Zhaozhi Qian 9 Sep 28, 2022
Interactive dimensionality reduction for large datasets

BlosSOM 🌼 BlosSOM is a graphical environment for running semi-supervised dimensionality reduction with EmbedSOM. You can use it to explore multidimen

19 Dec 14, 2022
A GridMixup augmentation, inspired by GridMask and CutMix

GridMixup A GridMixup augmentation, inspired by GridMask and CutMix Easy install pip install git+https://github.com/IlyaDobrynin/GridMixup.git Overvie

IlyaDo 42 Dec 28, 2022
E2VID_ROS - E2VID_ROS: E2VID to a real-time system

E2VID_ROS Introduce We extend E2VID to a real-time system. Because Python ROS ca

Robin Shaun 7 Apr 17, 2022
a project for 3D multi-object tracking

a project for 3D multi-object tracking

155 Jan 04, 2023
Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion"

DSPoint Official implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion". Paper link: https://arxiv.org/abs/2111.10

Ziyao Zeng 14 Feb 26, 2022
Collaborative forensic timeline analysis

Timesketch Table of Contents About Timesketch Getting started Community Contributing About Timesketch Timesketch is an open-source tool for collaborat

Google 2.1k Dec 28, 2022
HCQ: Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval

HCQ: Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval [toc] 1. Introduction This repository provides the code for our paper at

13 Dec 08, 2022
Safe Policy Optimization with Local Features

Safe Policy Optimization with Local Feature (SPO-LF) This is the source-code for implementing the algorithms in the paper "Safe Policy Optimization wi

Akifumi Wachi 6 Jun 05, 2022
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data

This repository is the official PyTorch implementation of Meta-Balance. Find the paper on arxiv MetaBalance: High-Performance Neural Networks for Clas

Arpit Bansal 20 Oct 18, 2021
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss

SAFL: A Self-Attention Scene Text Recognizer with Focal Loss This repository implements the SAFL in pytorch. Installation conda env create -f environm

6 Aug 24, 2022
ncnn is a high-performance neural network inference framework optimized for the mobile platform

ncnn ncnn is a high-performance neural network inference computing framework optimized for mobile platforms. ncnn is deeply considerate about deployme

Tencent 16.2k Jan 05, 2023
SimBERT升级版(SimBERTv2)!

RoFormer-Sim RoFormer-Sim,又称SimBERTv2,是我们之前发布的SimBERT模型的升级版。 介绍 https://kexue.fm/archives/8454 训练 tensorflow 1.14 + keras 2.3.1 + bert4keras 0.10.6 下载

318 Dec 31, 2022
Generate Cartoon Images using Generative Adversarial Network

AvatarGAN ✨ Generate Cartoon Images using DC-GAN Deep Convolutional GAN is a generative adversarial network architecture. It uses a couple of guidelin

Aakash Jhawar 50 Dec 29, 2022
Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch

Omninet - Pytorch Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch. The authors propose that we should be atte

Phil Wang 48 Nov 21, 2022
Jingju baseline - A baseline model of our project of Beijing opera script generation

Jingju Baseline It is a baseline of our project about Beijing opera script gener

midon 1 Jan 14, 2022
The official implementation code of "PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction."

PlantStereo This is the official implementation code for the paper "PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction".

Wang Qingyu 14 Nov 28, 2022
Official code repository for the EMNLP 2021 paper

Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization PyTorch code for the EMNLP 2021 paper "Integrating Visuospatia

Adyasha Maharana 23 Dec 19, 2022