forked from PulseFocusPlatform/PulseFocusPlatform
304 lines
12 KiB
Markdown
304 lines
12 KiB
Markdown
简体中文 | [English](GETTING_STARTED.md)
|
||
|
||
# 目录
|
||
## 多目标跟踪数据集准备
|
||
- [MOT数据集](#MOT数据集)
|
||
- [数据格式](#数据格式)
|
||
- [数据集目录](#数据集目录)
|
||
- [下载链接](#下载链接)
|
||
- [用户数据准备](#用户数据准备)
|
||
- [引用](#引用)
|
||
|
||
### MOT数据集
|
||
PaddleDetection使用和[JDE](https://github.com/Zhongdao/Towards-Realtime-MOT) 还有[FairMOT](https://github.com/ifzhang/FairMOT)相同的数据集，请先下载并准备好所有的数据集包括**Caltech Pedestrian, CityPersons, CUHK-SYSU, PRW, ETHZ, MOT17和MOT16**。此外还可以下载**MOT15和MOT20**数据集，如果您想使用这些数据集，请**遵循他们的License**。
|
||
|
||
### 数据格式
|
||
这几个相关数据集都遵循以下结构：
|
||
```
|
||
Caltech
|
||
|——————images
|
||
| └——————00001.jpg
|
||
| |—————— ...
|
||
| └——————0000N.jpg
|
||
└——————labels_with_ids
|
||
└——————00001.txt
|
||
|—————— ...
|
||
└——————0000N.txt
|
||
MOT17
|
||
|——————images
|
||
| └——————train
|
||
| └——————test
|
||
└——————labels_with_ids
|
||
└——————train
|
||
```
|
||
所有数据集的标注是以统一数据格式提供的。各个数据集中每张图片都有相应的标注文本。给定一个图像路径，可以通过将字符串`images`替换为`labels_with_ids`并将`.jpg`替换为`.txt`来生成标注文本路径。在标注文本中，每行都描述一个边界框，格式如下：
|
||
```
|
||
[class] [identity] [x_center] [y_center] [width] [height]
|
||
```
|
||
**注意**:
|
||
- `class`为`0`，目前仅支持单类别多目标跟踪。
|
||
- `identity`是从`0`到`num_identifies-1`的整数(`num_identifies`是数据集中不同物体实例的总数)，如果此框没有`identity`标注，则为`-1`。
|
||
- `[x_center] [y_center] [width] [height]`是中心点坐标和宽高，注意它们的值是由图片的宽度/高度标准化的，因此它们是从0到1的浮点数。
|
||
|
||
### 数据集目录
|
||
|
||
首先按照以下命令下载image_lists.zip并解压放在`dataset/mot`目录下：
|
||
```
|
||
wget https://dataset.bj.bcebos.com/mot/image_lists.zip
|
||
```
|
||
然后依次下载各个数据集并解压，最终目录为：
|
||
```
|
||
dataset/mot
|
||
|——————image_lists
|
||
|——————caltech.10k.val
|
||
|——————caltech.all
|
||
|——————caltech.train
|
||
|——————caltech.val
|
||
|——————citypersons.train
|
||
|——————citypersons.val
|
||
|——————cuhksysu.train
|
||
|——————cuhksysu.val
|
||
|——————eth.train
|
||
|——————mot15.train
|
||
|——————mot16.train
|
||
|——————mot17.train
|
||
|——————mot20.train
|
||
|——————prw.train
|
||
|——————prw.val
|
||
|——————Caltech
|
||
|——————Cityscapes
|
||
|——————CUHKSYSU
|
||
|——————ETHZ
|
||
|——————MOT15
|
||
|——————MOT16
|
||
|——————MOT17
|
||
|——————MOT20
|
||
|——————PRW
|
||
```
|
||
|
||
### 下载链接
|
||
|
||
#### Caltech Pedestrian
|
||
Baidu NetDisk:
|
||
[[0]](https://pan.baidu.com/s/1sYBXXvQaXZ8TuNwQxMcAgg)
|
||
[[1]](https://pan.baidu.com/s/1lVO7YBzagex1xlzqPksaPw)
|
||
[[2]](https://pan.baidu.com/s/1PZXxxy_lrswaqTVg0GuHWg)
|
||
[[3]](https://pan.baidu.com/s/1M93NCo_E6naeYPpykmaNgA)
|
||
[[4]](https://pan.baidu.com/s/1ZXCdPNXfwbxQ4xCbVu5Dtw)
|
||
[[5]](https://pan.baidu.com/s/1kcZkh1tcEiBEJqnDtYuejg)
|
||
[[6]](https://pan.baidu.com/s/1sDjhtgdFrzR60KKxSjNb2A)
|
||
[[7]](https://pan.baidu.com/s/18Zvp_d33qj1pmutFDUbJyw)
|
||
|
||
Google Drive: [[annotations]](https://drive.google.com/file/d/1h8vxl_6tgi9QVYoer9XcY9YwNB32TE5k/view?usp=sharing),
|
||
请从[这个页面](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/datasets/USA/)下载所有的`.tar`结尾的图片文件, 并解压到`Caltech/images`目录。
|
||
|
||
你需要使用这个[工具](https://github.com/mitmul/caltech-pedestrian-dataset-converter) 将原始数据格式转换为jpeg图像。
|
||
原始数据集网址: [CaltechPedestrians](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/)
|
||
|
||
#### CityPersons
|
||
Baidu NetDisk:
|
||
[[0]](https://pan.baidu.com/s/1g24doGOdkKqmbgbJf03vsw)
|
||
[[1]](https://pan.baidu.com/s/1mqDF9M5MdD3MGxSfe0ENsA)
|
||
[[2]](https://pan.baidu.com/s/1Qrbh9lQUaEORCIlfI25wdA)
|
||
[[3]](https://pan.baidu.com/s/1lw7shaffBgARDuk8mkkHhw)
|
||
|
||
Google Drive:
|
||
[[0]](https://drive.google.com/file/d/1DgLHqEkQUOj63mCrS_0UGFEM9BG8sIZs/view?usp=sharing)
|
||
[[1]](https://drive.google.com/file/d/1BH9Xz59UImIGUdYwUR-cnP1g7Ton_LcZ/view?usp=sharing)
|
||
[[2]](https://drive.google.com/file/d/1q_OltirP68YFvRWgYkBHLEFSUayjkKYE/view?usp=sharing)
|
||
[[3]](https://drive.google.com/file/d/1VSL0SFoQxPXnIdBamOZJzHrHJ1N2gsTW/view?usp=sharing)
|
||
|
||
原始数据集网址: [Citypersons pedestrian detection dataset](https://github.com/cvgroup-njust/CityPersons)
|
||
|
||
#### CUHK-SYSU
|
||
Baidu NetDisk:
|
||
[[0]](https://pan.baidu.com/s/1YFrlyB1WjcQmFW3Vt_sEaQ)
|
||
|
||
Google Drive:
|
||
[[0]](https://drive.google.com/file/d/1D7VL43kIV9uJrdSCYl53j89RE2K-IoQA/view?usp=sharing)
|
||
|
||
原始数据集网址: [CUHK-SYSU Person Search Dataset](http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html)
|
||
|
||
#### PRW
|
||
Baidu NetDisk:
|
||
[[0]](https://pan.baidu.com/s/1iqOVKO57dL53OI1KOmWeGQ)
|
||
|
||
Google Drive:
|
||
[[0]](https://drive.google.com/file/d/116_mIdjgB-WJXGe8RYJDWxlFnc_4sqS8/view?usp=sharing)
|
||
|
||
|
||
#### ETHZ (overlapping videos with MOT-16 removed):
|
||
Baidu NetDisk:
|
||
[[0]](https://pan.baidu.com/s/14EauGb2nLrcB3GRSlQ4K9Q)
|
||
|
||
Google Drive:
|
||
[[0]](https://drive.google.com/file/d/19QyGOCqn8K_rc9TXJ8UwLSxCx17e0GoY/view?usp=sharing)
|
||
|
||
原始数据集网址: [ETHZ pedestrian datset](https://data.vision.ee.ethz.ch/cvl/aess/dataset/)
|
||
|
||
#### MOT-17
|
||
Baidu NetDisk:
|
||
[[0]](https://pan.baidu.com/s/1lHa6UagcosRBz-_Y308GvQ)
|
||
|
||
Google Drive:
|
||
[[0]](https://drive.google.com/file/d/1ET-6w12yHNo8DKevOVgK1dBlYs739e_3/view?usp=sharing)
|
||
|
||
原始数据集网址: [MOT-17](https://motchallenge.net/data/MOT17/)
|
||
|
||
#### MOT-16
|
||
Baidu NetDisk:
|
||
[[0]](https://pan.baidu.com/s/10pUuB32Hro-h-KUZv8duiw)
|
||
|
||
Google Drive:
|
||
[[0]](https://drive.google.com/file/d/1254q3ruzBzgn4LUejDVsCtT05SIEieQg/view?usp=sharing)
|
||
|
||
原始数据集网址: [MOT-16](https://motchallenge.net/data/MOT16/)
|
||
|
||
#### MOT-15
|
||
原始数据集网址: [MOT-15](https://motchallenge.net/data/MOT15/)
|
||
|
||
#### MOT-20
|
||
原始数据集网址: [MOT-20](https://motchallenge.net/data/MOT20/)
|
||
|
||
|
||
### 用户数据准备
|
||
|
||
为了规范地进行训练和评测，用户数据需要转成和MOT-16数据集相同的目录和格式：
|
||
```
|
||
custom_data
|
||
|——————images
|
||
| └——————test
|
||
| └——————train
|
||
| └——————seq1
|
||
| | └——————gt
|
||
| | | └——————gt.txt
|
||
| | └——————img1
|
||
| | | └——————000001.jpg
|
||
| | | |——————000002.jpg
|
||
| | | └—————— ...
|
||
| | └——————seqinfo.ini
|
||
| └——————seq2
|
||
| └——————...
|
||
└——————labels_with_ids
|
||
└——————train
|
||
└——————seq1
|
||
| └——————000001.txt
|
||
| |——————000002.txt
|
||
| └—————— ...
|
||
└——————seq2
|
||
└—————— ...
|
||
```
|
||
|
||
#### images文件夹
|
||
- `gt.txt`是原始标注文件，而训练所用标注是`labels_with_ids`文件夹。
|
||
- `img1`文件夹里是按照一定帧率抽好的图片。
|
||
- `seqinfo.ini`文件是视频信息描述文件，需要如下格式的信息：
|
||
```
|
||
[Sequence]
|
||
name=MOT16-02
|
||
imDir=img1
|
||
frameRate=30
|
||
seqLength=600
|
||
imWidth=1920
|
||
imHeight=1080
|
||
imExt=.jpg
|
||
```
|
||
|
||
`gt.txt`里是当前视频中所有图片的原始标注文件，每行都描述一个边界框，格式如下：
|
||
```
|
||
[frame_id],[identity],[bb_left],[bb_top],[width],[height],[x],[y],[z]
|
||
```
|
||
**注意**:
|
||
- `frame_id`为当前图片帧序号
|
||
- `identity`是从`0`到`num_identifies-1`的整数(`num_identifies`是数据集中不同物体实例的总数)，如果此框没有`identity`标注，则为`-1`
|
||
- `bb_left`是目标框的左边界的x坐标
|
||
- `bb_top`是目标框的上边界的y坐标
|
||
- `width，height`是真实的像素宽高
|
||
- `x,y,z`是3D中用到的，在2D中默认为`-1`
|
||
|
||
|
||
#### labels_with_ids文件夹
|
||
所有数据集的标注是以统一数据格式提供的。各个数据集中每张图片都有相应的标注文本。给定一个图像路径，可以通过将字符串`images`替换为`labels_with_ids`并将`.jpg`替换为`.txt`来生成标注文本路径。在标注文本中，每行都描述一个边界框，格式如下：
|
||
```
|
||
[class] [identity] [x_center] [y_center] [width] [height]
|
||
```
|
||
**注意**:
|
||
- `class`为`0`，目前仅支持单类别多目标跟踪。
|
||
- `identity`是从`0`到`num_identifies-1`的整数(`num_identifies`是数据集中不同物体实例的总数)，如果此框没有`identity`标注，则为`-1`。
|
||
- `[x_center] [y_center] [width] [height]`是中心点坐标和宽高，注意是由图片的宽度/高度标准化的，因此它们是从0到1的浮点数。
|
||
|
||
可采用如下脚本生成相应的`labels_with_ids`:
|
||
```
|
||
cd dataset/mot
|
||
python gen_labels_MOT.py
|
||
```
|
||
|
||
### 引用
|
||
Caltech:
|
||
```
|
||
@inproceedings{ dollarCVPR09peds,
|
||
author = "P. Doll\'ar and C. Wojek and B. Schiele and P. Perona",
|
||
title = "Pedestrian Detection: A Benchmark",
|
||
booktitle = "CVPR",
|
||
month = "June",
|
||
year = "2009",
|
||
city = "Miami",
|
||
}
|
||
```
|
||
Citypersons:
|
||
```
|
||
@INPROCEEDINGS{Shanshan2017CVPR,
|
||
Author = {Shanshan Zhang and Rodrigo Benenson and Bernt Schiele},
|
||
Title = {CityPersons: A Diverse Dataset for Pedestrian Detection},
|
||
Booktitle = {CVPR},
|
||
Year = {2017}
|
||
}
|
||
|
||
@INPROCEEDINGS{Cordts2016Cityscapes,
|
||
title={The Cityscapes Dataset for Semantic Urban Scene Understanding},
|
||
author={Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt},
|
||
booktitle={Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
|
||
year={2016}
|
||
}
|
||
```
|
||
CUHK-SYSU:
|
||
```
|
||
@inproceedings{xiaoli2017joint,
|
||
title={Joint Detection and Identification Feature Learning for Person Search},
|
||
author={Xiao, Tong and Li, Shuang and Wang, Bochao and Lin, Liang and Wang, Xiaogang},
|
||
booktitle={CVPR},
|
||
year={2017}
|
||
}
|
||
```
|
||
PRW:
|
||
```
|
||
@inproceedings{zheng2017person,
|
||
title={Person re-identification in the wild},
|
||
author={Zheng, Liang and Zhang, Hengheng and Sun, Shaoyan and Chandraker, Manmohan and Yang, Yi and Tian, Qi},
|
||
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
|
||
pages={1367--1376},
|
||
year={2017}
|
||
}
|
||
```
|
||
ETHZ:
|
||
```
|
||
@InProceedings{eth_biwi_00534,
|
||
author = {A. Ess and B. Leibe and K. Schindler and and L. van Gool},
|
||
title = {A Mobile Vision System for Robust Multi-Person Tracking},
|
||
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR'08)},
|
||
year = {2008},
|
||
month = {June},
|
||
publisher = {IEEE Press},
|
||
keywords = {}
|
||
}
|
||
```
|
||
MOT-16&17:
|
||
```
|
||
@article{milan2016mot16,
|
||
title={MOT16: A benchmark for multi-object tracking},
|
||
author={Milan, Anton and Leal-Taix{\'e}, Laura and Reid, Ian and Roth, Stefan and Schindler, Konrad},
|
||
journal={arXiv preprint arXiv:1603.00831},
|
||
year={2016}
|
||
}
|
||
```
|