#!/usr/bin/env bash
SCRIPTPATH="$( cd "$(dirname "$0")" >/dev/null 2>&1 ; pwd -P )"
cd $SCRIPTPATH
cd ../../../
. config.profile

# check the enviroment info
nvidia-smi

export PYTHONPATH="$PWD":$PYTHONPATH

cd ../../

DATA_DIR="${DATA_ROOT}/ADE20K"
BACKBONE="deepbase_resnet50_dilated8"
CONFIGS="configs/ade20k/${BACKBONE}.json"

MODEL_NAME="base_ocnet"
LOSS_TYPE="fs_auxce_loss"
CHECKPOINTS_NAME="${MODEL_NAME}_${BACKBONE}_$(date +%F_%H-%M-%S)"
PRETRAINED_MODEL="./pretrained_model/resnet50-imagenet.pth"
MAX_ITERS=150000

LOG_FILE="./log/ade20k/${CHECKPOINTS_NAME}.log"
echo "Logging to $LOG_FILE"
mkdir -p `dirname $LOG_FILE`

if [ "$1"x == "train"x ]; then
  ${PYTHON} -u main.py --configs ${CONFIGS} --drop_last y \
                       --phase train --gathered n --loss_balance y --log_to_file n \
                       --backbone ${BACKBONE} --model_name ${MODEL_NAME} --gpu 0 1 2 3 \
                       --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
  ${PYTHON} -u main.py --configs ${CONFIGS} --drop_last y \
                       --phase train --gathered n --loss_balance y --log_to_file n \
                       --backbone ${BACKBONE} --model_name ${MODEL_NAME} --max_iters ${MAX_ITERS} \
                       --data_dir ${DATA_DIR} --loss_type ${LOSS_TYPE} --gpu 0 1 2 3 \
                       --resume_continue y --resume ./checkpoints/ade20k/${CHECKPOINTS_NAME}_latest.pth \
                       --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL}  2>&1 | tee -a ${LOG_FILE}

elif [ "$1"x == "debug"x ]; then
  ${PYTHON} -u main.py --configs ${CONFIGS} \
                       --phase debug --gpu 0 --log_to_file n 2>&1 | tee ${LOG_FILE}

elif [ "$1"x == "val"x ]; then
  ${PYTHON} -u main.py --configs ${CONFIGS} \
                       --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \
                       --phase test --gpu 0 --resume ./checkpoints/ade20k/${CHECKPOINTS_NAME}_latest.pth \
                       --test_dir ${DATA_DIR}/val/image --log_to_file n --out_dir val 2>&1 | tee -a ${LOG_FILE}
  cd lib/metrics
  ${PYTHON} -u ade20k_evaluator.py --configs ../../${CONFIGS} \
                                   --pred_dir ../../results/ade20k/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 --configs ${CONFIGS} \
                       --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \
                       --phase test --gpu 0 --resume ./checkpoints/ade20k/${CHECKPOINTS_NAME}_latest.pth \
                       --test_dir ${DATA_DIR}/test --log_to_file n --out_dir test 2>&1 | tee -a ${LOG_FILE}

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