examples/semantic-segmentation/run.sh

torchrun --nproc_per_node=1 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model fcn_resnet50 --aux-loss --weights FCN_ResNet50_Weights.COCO_WITH_VOC_LABELS_V1\
    --test-only


torchrun --nproc_per_node=4 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model fcn_resnet50 --aux-loss --output-dir fcn_resnet50 --weights FCN_ResNet50_Weights.COCO_WITH_VOC_LABELS_V1\
    --epochs 5 --batch-size 16 --lr 0.0002 --aux-loss --print-freq 100\
    --lr-warmup-method constant --lr-warmup-epochs 3 --lr-warmup-decay 0. \
    --apply-trp --trp-depths 1 --trp-p 0.1 --trp-lambdas 0.4 0.2 0.1
torchrun --nproc_per_node=1 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model fcn_resnet50 --aux-loss --resume fcn_resnet50/model_4.pth\
    --test-only



torchrun --nproc_per_node=1 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model fcn_resnet101 --aux-loss --weights FCN_ResNet101_Weights.COCO_WITH_VOC_LABELS_V1\
    --test-only


torchrun --nproc_per_node=4 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model fcn_resnet101 --aux-loss --output-dir fcn_resnet101 --weights FCN_ResNet101_Weights.COCO_WITH_VOC_LABELS_V1\
    --epochs 5 --batch-size 12 --lr 0.0002 --aux-loss --print-freq 100\
    --lr-warmup-method constant --lr-warmup-epochs 3 --lr-warmup-decay 0. \
    --apply-trp --trp-depths 1 --trp-p 0.1 --trp-lambdas 0.4 0.2 0.1
torchrun --nproc_per_node=1 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model fcn_resnet101 --aux-loss --resume fcn_resnet101/model_4.pth\
    --test-only



torchrun --nproc_per_node=1 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model deeplabv3_resnet50 --aux-loss --weights DeepLabV3_ResNet50_Weights.COCO_WITH_VOC_LABELS_V1\
    --test-only



torchrun --nproc_per_node=4 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model deeplabv3_resnet50 --aux-loss --output-dir deeplabv3_resnet50 --weights DeepLabV3_ResNet50_Weights.COCO_WITH_VOC_LABELS_V1\
    --epochs 5 --batch-size 16 --lr 0.0002 --aux-loss --print-freq 100\
    --lr-warmup-method constant --lr-warmup-epochs 3 --lr-warmup-decay 0. \
    --apply-trp --trp-depths 1 --trp-p 0.1 --trp-lambdas 0.4 0.2 0.1
torchrun --nproc_per_node=1 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model deeplabv3_resnet50 --aux-loss --resume deeplabv3_resnet50/model_4.pth\
    --test-only



torchrun --nproc_per_node=1 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model deeplabv3_resnet101 --aux-loss --weights DeepLabV3_ResNet101_Weights.COCO_WITH_VOC_LABELS_V1\
    --test-only



torchrun --nproc_per_node=4 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model deeplabv3_resnet101 --aux-loss --output-dir deeplabv3_resnet101 --weights DeepLabV3_ResNet101_Weights.COCO_WITH_VOC_LABELS_V1\
    --epochs 5 --batch-size 12 --lr 0.0002 --aux-loss --print-freq 100\
    --lr-warmup-method constant --lr-warmup-epochs 3 --lr-warmup-decay 0. \
    --apply-trp --trp-depths 1 --trp-p 0.1 --trp-lambdas 0.4 0.2 0.1
torchrun --nproc_per_node=1 train.py\
    --workers 4 --dataset coco --data-path /home/cs/Documents/datasets/coco\
    --model deeplabv3_resnet101 --aux-loss --resume deeplabv3_resnet101/model_4.pth\
    --test-only