Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022
@inproceedings{ZoomNet-CVPR2022,
title = {Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection},
author = {Pang, Youwei and Zhao, Xiaoqi and Xiang, Tian-Zhu and Zhang, Lihe and Lu, Huchuan},
booktitle = CVPR,
year = {2022}
}
Extensions to the conference version can be found: https://github.com/lartpang/ZoomNeXt.
Some core dependencies:
More details can be found in <./requirements.txt>
More details can be found at:
You can use our default configuration, like this:
$ python main.py --model-name=ZoomNet --config=configs/zoomnet/zoomnet.py --datasets-info ./configs/_base_/dataset/dataset_configs.json --info demo
or use our launcher script to start the one command in commands.txt
on GPU 1:
$ python tools/run_it.py --interpreter 'abs_path' --cmd-pool tools/commands.txt --gpu-pool 1 --verbose --max-workers 1
If you want to launch multiple commands, you can use it like this:
tools/commands.txt
.python tools/run_it.py --interpreter 'abs_path' --cmd-pool tools/commands.txt --gpu-pool <gpu indices> --verbose --max-workers max_workers
NOTE:
abs_path
: the absolute path of your python interpretermax_workers
: the maximum number of tasks to start simultaneously.Task | Weights | Results |
---|---|---|
COD | GitHub Release Link | GitHub Release Link |
SOD | GitHub Release Link | GitHub Release Link |
For ease of use, we create a test.py
script and a use case in the form of a shell script test.sh
.
$ sudo chmod +x ./test.sh
$ ./test.sh 0 # on gpu 0