ClonedPerson

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This project contains the ClonedPerson dataset and code described in our paper "Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification".

ClonedPerson 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# ClonedPerson
This is the official repository for the ClonedPerson project, which contains the ClonedPerson dataset and code described in our paper "[Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification](https://arxiv.org/pdf/2204.02611.pdf)".

<img width=700 src="/img/irregular.png">
Fig. 1. Examples of 3D characters in ClonedPerson.

## Table of Contents

- [Pipeline Setup](#pipeline-setup)
- [Dataset Description](#dataset-description)
- [Experimental Results](#experimental-results)
- [Contacts](#contacts)

## Pipeline Setup

Please see [here](https://github.com/Yanan-Wang-cs/ClonedPerson/tree/main/pipeline).

## Dataset Description

The ClonedPerson dataset is generated by [MakeHuman](http://www.makehumancommunity.org/) and [Unity3D](https://unity.com/). Characters in this dataset use an automatic approach to directly clone the whole outfits from real-world person images to virtual 3D characters, such that any virtual person thus created will appear very similar to its real-world counterpart. The dataset contains 887,766 synthesized person images of 5,621 identities. 3D characters and their counterparts in this dataset are shown in Fig. 1.

### Download Links

ClonedPerson Dataset
* [Google Drive](https://drive.google.com/file/d/1XIzGv022n_eu7di4Y0egPjUOFsSgmNjL/view?usp=sharing)

Video_first batch
* [Google Drive](https://drive.google.com/drive/folders/1mUR6lmSzSS6i6eF2qR-qiPUxngcnKJoe?usp=sharing)

### File Structure
```shell
clonedperson
├── clonedperson.tar.gz
│   ├── train
│   │      ├── 700000_s02_c00_f023389.jpg
│   │      ├── 700000_s06_c00_f023413.jpg
│   │      ├── ```
│   ├── test
│   │      ├── gallery
│   │      │      ├── 705228_s06_c02_f005521.jpg
│   │      │      ├── 705624_s12_c02_f002965.jpg
│   │      │      ├── ```
│   │      ├── query
│   │      │      ├── 705227_s02_c02_f001117.jpg
│   │      │      ├── 705624_s12_c00_f003229.jpg
│   │      │      ├── ```
├── videos(uploading...)
│   ├── first batch
│   │      ├── Recordings_scene02
│   │      │      ├── person-im
│   │      │      │      ├── pointsCamera0_1.txt  # This file saved the key points of the camera0_1.mp4
│   │      │      │      ├── deal_camera0_1.txt  # This file saved data extracted from the pointsCamera0_1.txt file every few seconds
│   │      │      │      ├── pointsCamera1_1.txt  
│   │      │      │      ├── deal_camera1_1.txt  
│   │      │      │      ├── ```
│   │      ├── camera0_1.mp4  # This is the video corresponding to file images/scene00/camera0_1.tar.gz(or delete_camera0_1.tar.gz)
│   │      ├── camera1_1.mp4
│   │      ├── Recordings_scene03
│   │      │      ├── person-im
│   │      │      │      ├── pointsCamera0_1.txt  # This file saved the key points of the camera0_1.mp4
│   │      │      │      ├── deal_camera0_1.txt  # This file saved data extracted from the pointsCamera0_1.txt file every few seconds
│   │      │      │      ├── pointsCamera1_1.txt  
│   │      │      │      ├── deal_camera1_1.txt  
│   │      │      │      ├── ```
│   │      ├── ```
│   ├── second batch
│   ├── ```
```
The filenames are encoded as follows. Take "700000_s02_c00_f023389.jpg" as an example,
*  700000 is the id of the person
*  s02   is the id of the scene
*  c00   is the id of the camera
*  f023389   is the number of frames

## Experimental Results

By training person re-identification models on these synthesized person images, we demonstrate that the model trained on ClonedPerson has a better generalization performance, superior to that trained on other popular real-world and synthetic person re-identification datasets.. The experimental results are shown in the following tables.

## Contacts

Yanan Wang  
Inception Institute of Artificial Intelligence (IIAI)  
yanan.wang@inceptioniai.org

## Citation

```
@article{Wang-2022-Clonedperson,
  title={{Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification}},
  author={Yanan Wang, Xuezhi Liang and Shengcai Liao},
   journal={IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2022}
}
```

ClonedPerson

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