- Clone this repository.
- Setup Python environment according to Setup section.
- Download training/validation data from Pascal VOC dataset Development Kit.
- http://host.robots.ox.ac.uk/pascal/VOC/ >
The VOC2012 Challenge
>Development Kit
- http://host.robots.ox.ac.uk/pascal/VOC/ >
- Unzip .tar file, and place some directories to
RISEBO/src/
as below.Annotations
asvoc_annotation
JPEGImages
asvoc_image
SegmentationClass
asvoc_segmentation
- Call
python exec_borex.py
or Runexec_borex.ipynb
.
-
Upgrade pip.
python -m pip3 install --upgrade pip
-
Install pytorch.
Search .whl link according to environment at https://download.pytorch.org/whl/torch_stable.html.
python -m pip install [.whl link]
For example,
https://download.pytorch.org/whl/cu116/torch-1.13.1%2Bcu116-cp310-cp310-win_amd64.whl
forWin10 64bit
,CUDA 11.6
,Python3.10
. -
Install other packages.
python -m pip install -r requirements.txt
-
requirements.txt
torchvision scikit-learn matplotlib pyyaml tqdm scikit-image opencv-python
-
-
Python 3.9.13
-
CUDA 11.6
- NVIDIA Driver 528.02
-
pip
certifi==2022.12.7 charset-normalizer==3.0.1 colorama==0.4.6 contourpy==1.0.7 cycler==0.11.0 fonttools==4.38.0 idna==3.4 imageio==2.25.0 joblib==1.2.0 kiwisolver==1.4.4 matplotlib==3.6.3 networkx==3.0 numpy==1.24.1 opencv-python==4.7.0.68 packaging==23.0 Pillow==9.4.0 pyparsing==3.0.9 python-dateutil==2.8.2 PyWavelets==1.4.1 PyYAML==6.0 requests==2.28.2 scikit-image==0.19.3 scikit-learn==1.2.1 scipy==1.10.0 six==1.16.0 threadpoolctl==3.1.0 tifffile==2023.1.23.1 torch @ https://download.pytorch.org/whl/cu116/torch-1.13.1%2Bcu116-cp39-cp39-win_amd64.whl torchvision==0.14.1 tqdm==4.64.1 typing_extensions==4.4.0 urllib3==1.26.14
-
Python 3.10.8
-
CUDA 11.6
- NVIDIA Driver 528.02
-
pip
certifi==2022.12.7 charset-normalizer==3.0.1 colorama==0.4.6 contourpy==1.0.7 cycler==0.11.0 fonttools==4.38.0 idna==3.4 imageio==2.25.0 joblib==1.2.0 kiwisolver==1.4.4 matplotlib==3.6.3 networkx==3.0 numpy==1.24.1 opencv-python==4.7.0.68 packaging==23.0 Pillow==9.4.0 pyparsing==3.0.9 python-dateutil==2.8.2 PyWavelets==1.4.1 PyYAML==6.0 requests==2.28.2 scikit-image==0.19.3 scikit-learn==1.2.1 scipy==1.10.0 six==1.16.0 threadpoolctl==3.1.0 tifffile==2023.1.23.1 torch @ https://download.pytorch.org/whl/cu116/torch-1.13.1%2Bcu116-cp310-cp310-win_amd64.whl torchvision==0.14.1 tqdm==4.64.1 typing_extensions==4.4.0 urllib3==1.26.14
Atsushi Kikuchi, Kotaro Uchida, Masaki Waga, Kohei Suenaga: BOREx: Bayesian-Optimization-Based Refinement of Saliency Map for Image- and Video-Classification Models. ACCV (7) 2022: 274-290
@inproceedings{borex,
author = {Atsushi Kikuchi and
Kotaro Uchida and
Masaki Waga and
Kohei Suenaga},
title = {BOREx: Bayesian-Optimization-Based Refinement of Saliency Map for
Image- and Video-Classification Models},
booktitle = {{ACCV} 2022},
pages = {274--290},
year = {2022},
url = {https://doi.org/10.1007/978-3-031-26293-7\_17},
doi = {10.1007/978-3-031-26293-7\_17},
}