luzhang16 / AR-CNN

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection, ICCV, 2019
Apache License 2.0
63 stars 10 forks source link

Kaist-paired Annotation #15

Open liushhAlex opened 3 years ago

liushhAlex commented 3 years ago

您好!以标注文件I00159.txt为例,标注内容如下:

% bbGt version=3 person 129 219 25 67 0 0 0 0 0 0 0 person 472 226 36 88 0 0 0 0 0 0 0 person 582 221 29 72 0 0 0 0 0 0 0 person 600 217 28 75 1 0 0 0 0 0 0 person 539 210 19 45 0 0 0 0 0 0 0 person 243 212 18 32 0 0 0 0 0 0 0

请问每行的后七位分别代表什么,我看了您的论文似乎没找到相关说明,如果您能回复,将十分感激~

17sarf commented 2 years ago

Hi, did you ever find the answer to this question?

Thanks in advance.

fnsflm commented 10 months ago

标记工具是matlab的一个工具箱,说明文档如下,可以找到关于标注的解释 https://pdollar.github.io/toolbox/

Each object struct has the following fields: lbl - a string label describing object type (eg: 'pedestrian') bb - [l t w h]: bb indicating predicted object extent occ - 0/1 value indicating if bb is occluded bbv - [l t w h]: bb indicating visible region (may be [0 0 0 0]) ign - 0/1 value indicating bb was marked as ignore ang - [0-360] orientation of bb in degrees