run.sh

#!/bin/bash

#export PATH=/share/apps/python/miniconda4.12/bin:/share/apps/gcc/9.1.0/bin:/people/scicons/deception/bin:/qfs/people/abeb563/.vscode-server/bin/b3e4e68a0bc097f0ae7907b217c1119af9e03435/bin/remote-cli:/people/scicons/deception/bin:/share/apps/python/miniconda4.12/condabin:/usr/lib64/qt-3.3/bin:/people/scicons/deception/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/ganglia/bin:/opt/ganglia/sbin:/opt/pdsh/bin:/opt/rocks/bin:/opt/rocks/sbin:/people/abeb563/bin:/people/abeb563/bin:/people/abeb563/.local/bin
export PATH=$PATH:/people/abeb563/.local/bin

#module load python/miniconda4.12
module purge
module load python/miniconda3.8

source /share/apps/python/miniconda3.8/etc/profile.d/conda.sh

module load cuda/11.1
module load gcc/9.1.0


#source /share/apps/python/miniconda4.12/etc/profile.d/conda.sh
# pip install matplotlib
# pip install opencv-python
# pip install scikit-learn
# pip install torch #==1.7.1 #--upgrade
# pip install torchvision #==0.8.2 #--upgrade
# pip install torch-encoding #=1.2.2b20210508
# pip install git+https://github.com/facebookresearch/segment-anything.git
# pip install pandas
# pip install ninja



#python supervised.py  --model=res18
#python unsupervised.py --model=FENet --embed=0 --post=1

python batch_unsupervised.py --sam=sam_vit_l_0b3195.pth --model=FENet --grid=16 --chipsize=60 --embed=1 --par=0 --dilation=1 --post=1

#python hello.py


#python preprocess.py

#python pychip_accuracy.py

#sam_vit_b_01ec64.pth
#sam_vit_h_4b8939.pth
#sam_vit_l_0b3195.pth