run_fs_res50_deeplabv3_ade20k_seg.sh

#!/usr/bin/env bash

# check the enviroment info
nvidia-smi
PYTHON="python -u"

WORK_DIR=$(cd $(dirname $0)/../../../;pwd)
export PYTHONPATH=${WORK_DIR}:${PYTHONPATH}
cd ${WORK_DIR}

DATA_DIR="/home/donny/DataSet/ADE20K"

BACKBONE="deepbase_resnet50_dilated8"
MODEL_NAME="deeplabv3"
CHECKPOINTS_NAME="fs_res50_deeplabv3_ade20k_seg"$2
PRETRAINED_MODEL="./pretrained_models/3x3resnet50-imagenet.pth"

CONFIG_FILE='configs/seg/ade20k/base_fcn_ade20k_seg.conf'
MAX_ITERS=150000
LOSS_TYPE="dsnce_loss"

LOG_DIR="./log/seg/ade20k/"
LOG_FILE="${LOG_DIR}${CHECKPOINTS_NAME}.log"

if [[ ! -d ${LOG_DIR} ]]; then
    echo ${LOG_DIR}" not exists!!!"
    mkdir -p ${LOG_DIR}
fi

export NCCL_LL_THRESHOLD=0

NGPUS=4
DIST_PYTHON="${PYTHON} -m torch.distributed.launch --nproc_per_node=${NGPUS}"

if [[ "$1"x == "train"x ]]; then
  ${DIST_PYTHON} main.py --config_file ${CONFIG_FILE} --phase train --train_batch_size 4 --val_batch_size 1 \
                         --backbone ${BACKBONE} --model_name ${MODEL_NAME} --drop_last y --syncbn y --dist y \
                         --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \
                         --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL}  2>&1 | tee ${LOG_FILE}

elif [[ "$1"x == "resume"x ]]; then
  ${DIST_PYTHON} main.py --config_file ${CONFIG_FILE} --phase train --train_batch_size 4 --val_batch_size 1 \
                         --backbone ${BACKBONE} --model_name ${MODEL_NAME} --drop_last y --syncbn y --dist y \
                         --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --max_iters ${MAX_ITERS} \
                         --resume_continue y --resume ./checkpoints/seg/ade20k/${CHECKPOINTS_NAME}_latest.pth \
                         --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL}  2>&1 | tee -a ${LOG_FILE}

elif [[ "$1"x == "val"x ]]; then
  ${PYTHON} main.py --config_file ${CONFIG_FILE} --phase test --gpu 0 1 2 3 --gather n \
                    --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \
                    --resume ./checkpoints/seg/cityscape/${CHECKPOINTS_NAME}_latest.pth \
                    --test_dir ${DATA_DIR}/val/image --out_dir val 2>&1 | tee -a ${LOG_FILE}
  cd metric/seg/
  ${PYTHON} seg_evaluator.py --config_file "../../"${CONFIG_FILE} \
                             --pred_dir ../../results/seg/ade20k/${CHECKPOINTS_NAME}/val/label \
                             --gt_dir ${DATA_DIR}/val/label  2>&1 | tee -a "../../"${LOG_FILE}

elif [[ "$1"x == "test"x ]]; then
  ${PYTHON} main.py --config_file ${CONFIG_FILE} --phase test --gpu 0 1 2 3 --gather n \
                    --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \
                    --resume ./checkpoints/seg/ade20k/${CHECKPOINTS_NAME}_latest.pth \
                    --test_dir ${DATA_DIR}/test --out_dir test 2>&1 | tee -a ${LOG_FILE}

else
  echo "$1"x" is invalid..."
fi