run.sh

#!/bin/bash

port=$(python get_free_port.py)
GPU=2

alias exp="python -m torch.distributed.launch --master_port=${port} --nproc_per_node=${GPU} tools/train_incremental.py"
shopt -s expand_aliases

# FIRST STEP
# python -m torch.distributed.launch --nproc_per_node=${GPU} tools/train_first_step.py -c configs/OD_cfg/e2e_faster_rcnn_R_50_C4_4x.yaml

# INCREMENTAL STEPS
task=10-10
#exp -t ${task} -n ILOD
#exp -t ${task} -n MMA --rpn --uce --dist_type uce --cls 0.1


task=15-5
#exp -t ${task} -n ILOD
#exp -t ${task} -n FILOD --feat std --rpn --cls 1.
#exp -t ${task} -n MMA --rpn --uce --dist_type uce --cls 0.5

task=19-1
#exp -t ${task} -n ILOD
#exp -t ${task} -n FILOD_noFEAT_UCE_UKD --rpn --uce --dist_type uce --cls 1
#exp -t ${task} -n MMA --rpn --uce --dist_type uce --cls 1