Tattoo detection and localization
This uses the Caffe hash: 4115385deb3b907fcd428ac0ab53b694d741a3c4
The tattoo model is managed by git-lfs, so make sure that is installed (see
https://git-lfs.github.com/
for details on how to do that).
Then, fetch the file using:
git lfs fetch git lfs checkout
After running the `` tool, one of the output files will be a detection.txt
file.
This is a CSV-like file (`|` primary separators):
filename | proc time | scale | scores | boxes
The boxes field (the last one) may container 0 or more confidence and bounding box specifications. Separating this text field by spaces (
) will yield one or more sub-CSV rows with the format:
confidence,x,y,width,height
X and Y coordinates specify the upper left corner of the sub-region, assuming (0,0) is the upper left corner of the image.
Please cite the following paper if you use this software in your work:
@inproceedings{sun2016tattoo,
title={Tattoo detection and localization using region-based deep learning},
author={Sun, Zhaohui H and Baumes, Jeff and Tunison, Paul and Turek, Matt and Hoogs, Anthony},
booktitle={Pattern Recognition (ICPR), 2016 23rd International Conference on},
pages={3055--3060},
year={2016},
organization={IEEE}
}
Additionally, citing the JPL MEMEX project http://memex.jpl.nasa.gov/
would be welcomed.