Yufei ccac9cf800 | 2 years ago | |
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README.md | 2 years ago | |
ssd300_wider_face.py | 2 years ago |
To use the WIDER Face dataset you need to download it
and extract to the data/WIDERFace
folder. Annotation in the VOC format
can be found in this repo.
You should move the annotation files from WIDER_train_annotations
and WIDER_val_annotations
folders
to the Annotation
folders inside the corresponding directories WIDER_train
and WIDER_val
.
Also annotation lists val.txt
and train.txt
should be copied to data/WIDERFace
from WIDER_train_annotations
and WIDER_val_annotations
.
The directory should be like this:
mmdetection
├── mmdet
├── tools
├── configs
├── data
│ ├── WIDERFace
│ │ ├── WIDER_train
│ | │ ├──0--Parade
│ | │ ├── ...
│ | │ ├── Annotations
│ │ ├── WIDER_val
│ | │ ├──0--Parade
│ | │ ├── ...
│ | │ ├── Annotations
│ │ ├── val.txt
│ │ ├── train.txt
After that you can train the SSD300 on WIDER by launching training with the ssd300_wider_face.py
config or
create your own config based on the presented one.
@inproceedings{yang2016wider,
Author = {Yang, Shuo and Luo, Ping and Loy, Chen Change and Tang, Xiaoou},
Booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
Title = {WIDER FACE: A Face Detection Benchmark},
Year = {2016}
}
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