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".

Overview

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".

Fig. 1. Examples of 3D characters in ClonedPerson.

Table of Contents

Dataset Description

The ClonedPerson dataset is generated by MakeHuman and Unity3D. 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

Video_first batch

File Structure

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)
[email protected]

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}
}
Issues
  • Environment

    Environment

    Hello, first of all thanks for your anwesome work ! Could you please provide the environment with the libs you used for the demo, because I'm struggling to install them all.

    Thank you guys !

    opened by Ar-ALN 2
Owner
Yanan Wang
Yanan Wang
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