commands.txt

sudo apt-get install unzip
unzip train_images_tiled_planes-20220902T170507Z-001.zip


sudo service docker stop && sudo service docker start   
sudo service docker start
sudo chmod 666 /var/run/docker.sock


docker build -t detection .


docker run -it --mount type=bind,source="$(pwd)"/,target=/workspace detection
docker run -it --gpus all --mount type=bind,source="$(pwd)"/,target=/workspace detection


# TO INSTALL PYCOCOTOOLS, DOCKERFILE DOES THIS NOW
conda install -c conda-forge pycocotools
# !pip install pycocotools --quiet

# TO INSTALL TORCHVISION
!git clone https://github.com/pytorch/vision.git


python3 strategy_real.py -d 'artifacts' -n 'planes_sgd' -bs 4 -e 20 -s 5 -lr 0.005
python3 analysis.py -d 'artifacts' -n 'planes_sgd'
python3 detections.py -d 'artifacts' -n 'planes_sgd'

bad strat
python3 strategy_real.py -d 'artifacts' -n 'hault_trucks_synth_sgd' -bs 4 -e 20 -s 5 -lr 0.0001
good strat
python3 strategy_real.py -d 'artifacts' -n 'hault_trucks_synth_sgd_005' -bs 4 -e 30 -s 5 -lr 0.005
python3 strategy_synth.py -d 'artifacts' -n 'hault_trucks_MIX_sgd_005' -bs 4 -e 2 -s 2 -lr 0.005
mix
python3 strategy_synth.py -d 'artifacts' -n 'hault_trucks_MIX_sgd_005' -bs 4 -e 2 -s 2 -lr 0.005