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Merge pull request #20 from youansheng/dev
add seg scripts.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,65 @@ | ||
| #!/usr/bin/env bash | ||
|
|
||
| # check the enviroment info | ||
| nvidia-smi | ||
| PYTHON="python" | ||
|
|
||
| export PYTHONPATH="/home/donny/Projects/PyTorchCV":${PYTHONPATH} | ||
|
|
||
| cd ../../../ | ||
|
|
||
| DATA_DIR="/home/donny/DataSet/ADE20K" | ||
|
|
||
| BACKBONE="deepbase_resnet101_dilated8" | ||
| MODEL_NAME="deeplabv3" | ||
| CHECKPOINTS_NAME="fs_res101_deeplabv3_ade20k_seg"$2 | ||
| PRETRAINED_MODEL="./pretrained_model/resnet101-imagenet.pth" | ||
|
|
||
| HYPES_FILE='hypes/seg/ade20k/fs_deeplabv3_ade20k_seg.json' | ||
| MAX_ITERS=40000 | ||
| LOSS_TYPE="fs_auxce_loss" | ||
|
|
||
| LOG_DIR="./log/seg/ade20k/" | ||
| LOG_FILE="${LOG_DIR}${CHECKPOINTS_NAME}.log" | ||
|
|
||
| if [ ! -d ${LOG_DIR} ]; then | ||
| echo ${LOG_DIR}" not exists!!!" | ||
| make -p ${LOG_DIR} | ||
| fi | ||
|
|
||
|
|
||
| if [ "$1"x == "train"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --drop_last y --phase train --gathered n --loss_balance y \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 --log_to_file n \ | ||
| --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \ | ||
| --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} > ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "resume"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --drop_last y --phase train --gathered n --loss_balance y \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 --log_to_file n\ | ||
| --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \ | ||
| --resume_continue y --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} >> ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "debug"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE}--phase debug --gpu 0 --log_to_file n > ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "val"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --phase test --gpu 0 --log_to_file n \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \ | ||
| --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --test_dir ${DATA_DIR}/val/image --out_dir val >> ${LOG_FILE} 2>&1 | ||
| cd metrics/seg/ | ||
| ${PYTHON} -u ade20k_evaluator.py --hypes "../../"${HYPES_FILE} \ | ||
| --pred_dir ../../results/cityscapes/test_dir/${CHECKPOINTS_NAME}/val/label \ | ||
| --gt_dir ${DATA_DIR}/val/label >> "../../"${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "test"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --phase test --gpu 0 --log_to_file n \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \ | ||
| --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --test_dir ${DATA_DIR}/test --out_dir test >> ${LOG_FILE} 2>&1 | ||
|
|
||
| else | ||
| echo "$1"x" is invalid..." | ||
| fi |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,65 @@ | ||
| #!/usr/bin/env bash | ||
|
|
||
| # check the enviroment info | ||
| nvidia-smi | ||
| PYTHON="python" | ||
|
|
||
| export PYTHONPATH="/home/donny/Projects/PyTorchCV":${PYTHONPATH} | ||
|
|
||
| cd ../../../ | ||
|
|
||
| DATA_DIR="/home/donny/DataSet/ADE20K" | ||
|
|
||
| BACKBONE="deepbase_resnet101_dilated8" | ||
| MODEL_NAME="deeplabv3" | ||
| CHECKPOINTS_NAME="fs_res101_deeplabv3_ade20k_seg"$2 | ||
| PRETRAINED_MODEL="./pretrained_model/resnet101-imagenet.pth" | ||
|
|
||
| HYPES_FILE='hypes/seg/ade20k/fs_deeplabv3_ade20k_seg.json' | ||
| MAX_ITERS=40000 | ||
| LOSS_TYPE="fs_auxce_loss" | ||
|
|
||
| LOG_DIR="./log/seg/ade20k/" | ||
| LOG_FILE="${LOG_DIR}${CHECKPOINTS_NAME}.log" | ||
|
|
||
| if [ ! -d ${LOG_DIR} ]; then | ||
| echo ${LOG_DIR}" not exists!!!" | ||
| make -p ${LOG_DIR} | ||
| fi | ||
|
|
||
|
|
||
| if [ "$1"x == "train"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --drop_last y --phase train --gathered n --loss_balance y \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 --log_to_file n \ | ||
| --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \ | ||
| --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} > ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "resume"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --drop_last y --phase train --gathered n --loss_balance y \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 --log_to_file n\ | ||
| --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \ | ||
| --resume_continue y --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} >> ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "debug"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE}--phase debug --gpu 0 --log_to_file n > ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "val"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --phase test --gpu 0 --log_to_file n \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \ | ||
| --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --test_dir ${DATA_DIR}/val/image --out_dir val >> ${LOG_FILE} 2>&1 | ||
| cd metrics/seg/ | ||
| ${PYTHON} -u ade20k_evaluator.py --hypes "../../"${HYPES_FILE} \ | ||
| --pred_dir ../../results/cityscapes/test_dir/${CHECKPOINTS_NAME}/val/label \ | ||
| --gt_dir ${DATA_DIR}/val/label >> "../../"${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "test"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --phase test --gpu 0 --log_to_file n \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \ | ||
| --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --test_dir ${DATA_DIR}/test --out_dir test >> ${LOG_FILE} 2>&1 | ||
|
|
||
| else | ||
| echo "$1"x" is invalid..." | ||
| fi |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,65 @@ | ||
| #!/usr/bin/env bash | ||
|
|
||
| # check the enviroment info | ||
| nvidia-smi | ||
| PYTHON="python" | ||
|
|
||
| export PYTHONPATH="/home/donny/Projects/PyTorchCV":${PYTHONPATH} | ||
|
|
||
| cd ../../../ | ||
|
|
||
| DATA_DIR="/home/donny/DataSet/ADE20K" | ||
|
|
||
| BACKBONE="deepbase_resnet50_dilated8" | ||
| MODEL_NAME="deeplabv3" | ||
| CHECKPOINTS_NAME="fs_res50_deeplabv3_ade20k_seg"$2 | ||
| PRETRAINED_MODEL="./pretrained_model/resnet50-imagenet.pth" | ||
|
|
||
| HYPES_FILE='hypes/seg/ade20k/fs_deeplabv3_ade20k_seg.json' | ||
| MAX_ITERS=40000 | ||
| LOSS_TYPE="fs_auxce_loss" | ||
|
|
||
| LOG_DIR="./log/seg/ade20k/" | ||
| LOG_FILE="${LOG_DIR}${CHECKPOINTS_NAME}.log" | ||
|
|
||
| if [ ! -d ${LOG_DIR} ]; then | ||
| echo ${LOG_DIR}" not exists!!!" | ||
| make -p ${LOG_DIR} | ||
| fi | ||
|
|
||
|
|
||
| if [ "$1"x == "train"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --drop_last y --phase train --gathered n --loss_balance y \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 --log_to_file n \ | ||
| --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \ | ||
| --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} > ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "resume"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --drop_last y --phase train --gathered n --loss_balance y \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 --log_to_file n\ | ||
| --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \ | ||
| --resume_continue y --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} >> ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "debug"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE}--phase debug --gpu 0 --log_to_file n > ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "val"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --phase test --gpu 0 --log_to_file n \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \ | ||
| --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --test_dir ${DATA_DIR}/val/image --out_dir val >> ${LOG_FILE} 2>&1 | ||
| cd metrics/seg/ | ||
| ${PYTHON} -u ade20k_evaluator.py --hypes "../../"${HYPES_FILE} \ | ||
| --pred_dir ../../results/cityscapes/test_dir/${CHECKPOINTS_NAME}/val/label \ | ||
| --gt_dir ${DATA_DIR}/val/label >> "../../"${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "test"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --phase test --gpu 0 --log_to_file n \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \ | ||
| --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --test_dir ${DATA_DIR}/test --out_dir test >> ${LOG_FILE} 2>&1 | ||
|
|
||
| else | ||
| echo "$1"x" is invalid..." | ||
| fi |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,65 @@ | ||
| #!/usr/bin/env bash | ||
|
|
||
| # check the enviroment info | ||
| nvidia-smi | ||
| PYTHON="python" | ||
|
|
||
| export PYTHONPATH="/home/donny/Projects/PyTorchCV":${PYTHONPATH} | ||
|
|
||
| cd ../../../ | ||
|
|
||
| DATA_DIR="/home/donny/DataSet/ADE20K" | ||
|
|
||
| BACKBONE="deepbase_resnet50_dilated8" | ||
| MODEL_NAME="deeplabv3" | ||
| CHECKPOINTS_NAME="fs_res50_deeplabv3_ade20k_seg"$2 | ||
| PRETRAINED_MODEL="./pretrained_model/resnet50-imagenet.pth" | ||
|
|
||
| HYPES_FILE='hypes/seg/ade20k/fs_deeplabv3_ade20k_seg.json' | ||
| MAX_ITERS=40000 | ||
| LOSS_TYPE="fs_auxce_loss" | ||
|
|
||
| LOG_DIR="./log/seg/ade20k/" | ||
| LOG_FILE="${LOG_DIR}${CHECKPOINTS_NAME}.log" | ||
|
|
||
| if [ ! -d ${LOG_DIR} ]; then | ||
| echo ${LOG_DIR}" not exists!!!" | ||
| make -p ${LOG_DIR} | ||
| fi | ||
|
|
||
|
|
||
| if [ "$1"x == "train"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --drop_last y --phase train --gathered n --loss_balance y \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 --log_to_file n \ | ||
| --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \ | ||
| --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} > ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "resume"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --drop_last y --phase train --gathered n --loss_balance y \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 --log_to_file n\ | ||
| --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \ | ||
| --resume_continue y --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} >> ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "debug"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE}--phase debug --gpu 0 --log_to_file n > ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "val"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --phase test --gpu 0 --log_to_file n \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \ | ||
| --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --test_dir ${DATA_DIR}/val/image --out_dir val >> ${LOG_FILE} 2>&1 | ||
| cd metrics/seg/ | ||
| ${PYTHON} -u ade20k_evaluator.py --hypes "../../"${HYPES_FILE} \ | ||
| --pred_dir ../../results/cityscapes/test_dir/${CHECKPOINTS_NAME}/val/label \ | ||
| --gt_dir ${DATA_DIR}/val/label >> "../../"${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "test"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --phase test --gpu 0 --log_to_file n \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \ | ||
| --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --test_dir ${DATA_DIR}/test --out_dir test >> ${LOG_FILE} 2>&1 | ||
|
|
||
| else | ||
| echo "$1"x" is invalid..." | ||
| fi |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,64 @@ | ||
| #!/usr/bin/env bash | ||
|
|
||
| # check the enviroment info | ||
| nvidia-smi | ||
| PYTHON="python" | ||
|
|
||
| export PYTHONPATH="/home/donny/Projects/PyTorchCV":${PYTHONPATH} | ||
|
|
||
| cd ../../../ | ||
|
|
||
| DATA_DIR="/home/donny/DataSet/CityScape" | ||
|
|
||
| BACKBONE="deepbase_resnet101_dilated8" | ||
| MODEL_NAME="deeplabv3" | ||
| CHECKPOINTS_NAME="fs_deeplabv3_cityscapes_seg"$2 | ||
| PRETRAINED_MODEL="./pretrained_model/resnet101-imagenet.pth" | ||
|
|
||
| HYPES_FILE='hypes/seg/cityscapes/fs_deeplabv3_cityscapes_seg.json' | ||
| MAX_ITERS=40000 | ||
| LOSS_TYPE="fs_auxce_loss" | ||
|
|
||
| LOG_DIR="./log/seg/cityscapes/" | ||
| LOG_FILE="${LOG_DIR}${CHECKPOINTS_NAME}.log" | ||
|
|
||
| if [ ! -d ${LOG_DIR} ]; then | ||
| echo ${LOG_DIR}" not exists!!!" | ||
| make -p ${LOG_DIR} | ||
| fi | ||
|
|
||
|
|
||
| if [ "$1"x == "train"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --drop_last y --phase train --gathered n --loss_balance y \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 --log_to_file n \ | ||
| --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \ | ||
| --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} > ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "resume"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --drop_last y --phase train --gathered n --loss_balance y \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 --log_to_file n\ | ||
| --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \ | ||
| --resume_continue y --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} >> ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "debug"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE}--phase debug --gpu 0 --log_to_file n > ${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "val"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --phase test --gpu 0 --log_to_file n \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \ | ||
| --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --test_dir ${DATA_DIR}/val/image --out_dir val >> ${LOG_FILE} 2>&1 | ||
| cd metrics/seg/ | ||
| ${PYTHON} -u cityscapes_evaluator.py --pred_dir ../../results/cityscapes/test_dir/${CHECKPOINTS_NAME}/val/label \ | ||
| --gt_dir ${DATA_DIR}/val/label >> "../../"${LOG_FILE} 2>&1 | ||
|
|
||
| elif [ "$1"x == "test"x ]; then | ||
| ${PYTHON} -u main.py --hypes ${HYPES_FILE} --phase test --gpu 0 --log_to_file n \ | ||
| --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \ | ||
| --resume ./checkpoints/seg/cityscapes/${CHECKPOINTS_NAME}_latest.pth \ | ||
| --test_dir ${DATA_DIR}/test --out_dir test >> ${LOG_FILE} 2>&1 | ||
|
|
||
| else | ||
| echo "$1"x" is invalid..." | ||
| fi |
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