#for x in /data/DAVIS/Annotations/*; do python scripts/preprocess_imgdir.py -i /data/DAVIS/1080p/$(basename $x) -o /data/cameron/monocular_ests/davis/$(basename $x)2; done
hap run -- CUDA_VISIBLE_DEVICES=0 python scripts/trainseg.py --name dino_seg_bear2      --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath bear2      --featsrc dino --online 
hap run -- CUDA_VISIBLE_DEVICES=1 python scripts/trainseg.py --name dino_seg_blackswan2 --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath blackswan2 --featsrc dino --online 
hap run -- CUDA_VISIBLE_DEVICES=2 python scripts/trainseg.py --name dino_seg_camel2     --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath camel2     --featsrc dino --online 
hap run -- CUDA_VISIBLE_DEVICES=3 python scripts/trainseg.py --name dino_seg_cows2      --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath cows2      --featsrc dino --online 
hap run -- CUDA_VISIBLE_DEVICES=4 python scripts/trainseg.py --name dino_seg_elephant2  --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath elephant2  --featsrc dino --online 
hap run -- CUDA_VISIBLE_DEVICES=5 python scripts/trainseg.py --name dino_seg_flamingo2  --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath flamingo2  --featsrc dino --online 
hap run -- CUDA_VISIBLE_DEVICES=6 python scripts/trainseg.py --name dino_seg_goat2      --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath goat2      --featsrc dino --online 
hap run -- CUDA_VISIBLE_DEVICES=7 python scripts/trainseg.py --name dino_seg_libby2     --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath libby2     --featsrc dino --online 
hap run -- CUDA_VISIBLE_DEVICES=8 python scripts/trainseg.py --name dino_seg_lucia2     --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath lucia2     --featsrc dino --online 

#CUDA_VISIBLE_DEVICES=0 python scripts/videodepth_preprocess_imgdir.py -i /data/DAVIS/1080p/bear2              -o /data/cameron/monocular_ests/davis/bear2       
#hap run -- CUDA_VISIBLE_DEVICES=0 python train.py --name directsup_video_depthtrain_bear2       --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath bear2      --export_poses --online
#hap run -- CUDA_VISIBLE_DEVICES=1 python train.py --name directsup_video_depthtrain_blackswan2  --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath blackswan2 --export_poses --online
#hap run -- CUDA_VISIBLE_DEVICES=2 python train.py --name directsup_video_depthtrain_camel2      --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath camel2     --export_poses --online
#hap run -- CUDA_VISIBLE_DEVICES=3 python train.py --name directsup_video_depthtrain_cows2       --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath cows2      --export_poses --online
#hap run -- CUDA_VISIBLE_DEVICES=4 python train.py --name directsup_video_depthtrain_elephant2   --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath elephant2  --export_poses --online
#hap run -- CUDA_VISIBLE_DEVICES=5 python train.py --name directsup_video_depthtrain_flamingo2   --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath flamingo2  --export_poses --online
#hap run -- CUDA_VISIBLE_DEVICES=6 python train.py --name directsup_video_depthtrain_goat2       --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath goat2      --export_poses --online
#hap run -- CUDA_VISIBLE_DEVICES=7 python train.py --name directsup_video_depthtrain_libby2      --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath libby2     --export_poses --online
#hap run -- CUDA_VISIBLE_DEVICES=8 python train.py --name directsup_video_depthtrain_lucia2      --n_train_steps 3000 -b 1 --until_img 101 --lr 3e-4 -v 39 --n_skip 1  --imgpath lucia2     --export_poses --online