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2.run_train.sh
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2.run_train.sh
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#
# Train 4 basic models #2022-02-24 denoise.
#
echo "training LCNN-half model denoise"
configPath1=_configs/config_LA_lcnnHalf_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
echo "training LCNN-full model denoise"
configPath1=_configs/config_LA_lcnn_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
echo "training SENet12 model denoise"
configPath1=_configs/config_LA_SENet12_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
echo "training SENet34 model denoise"
configPath1=_configs/config_LA_SENet34_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
exit
#
# DONE Train 4 basic models denoise
# sudo mv _-> make sure to reverse this after done
#
# Train 4 basic models #2022-02-22,23 Over 5k.
#
echo "training LCNN-half model over 5k"
configPath1=_configs/config_LA_lcnnHalf_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
echo "training LCNN-full model over 5k"
configPath1=_configs/config_LA_lcnn_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
echo "training SENet12 model over 5k"
configPath1=_configs/config_LA_SENet12_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
echo "training SENet34 model over 5k"
configPath1=_configs/config_LA_SENet34_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
exit
#
# DONE Train 4 basic models <Over 5k>
# sudo mv _-> make sure to reverse this after done
#
# Train 4 basic models
#
echo "training LCNN-half model no silence"
configPath1=_configs/config_LA_lcnnHalf_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
echo "training LCNN-full model no silence"
configPath1=_configs/config_LA_lcnn_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
echo "training SENet12 model no silence"
configPath1=_configs/config_LA_SENet12_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
echo "training SENet34 model no silence"
configPath1=_configs/config_LA_SENet34_LPSseg_uf_seg600.json
GPU=0,1,2,3
python train.py --config ${configPath1} --device ${GPU} #> /dev/null 2>&1 &
exit
#
# DONE Train 4 basic models <no silence Feb 08>
#
# Distillation
echo "distilling se34 (original) model to se12 (new) model with clipped (2k-4k) training data"
configPath1=_configs/config_LA_SENet12_LPSseg_uf_seg600_distillation.json
GPU1=0,1,2,3
python train_distillation.py --config ${configPath1} --device ${GPU1} #> /dev/null 2>&1 &
exit
exit()
echo "distilling big model to small model"
configPath1=_configs/config_LA_SENet12_LPSseg_uf_seg600_distillation.json
#configPath1=_configs/config_LA_lcnnHalf_LPSseg_uf_seg600.json
GPU1=0,1,2,3
python train_distillation.py --config ${configPath1} --device ${GPU1} #> /dev/null 2>&1 &
exit
exit()