#!/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
${PYTHON} -m pip install torchcontrib
${PYTHON} -m pip install git+https://github.com/lucasb-eyer/pydensecrf.git

export PYTHONPATH="$PWD":$PYTHONPATH

DATA_DIR="${DATA_ROOT}/cityscapes"
SAVE_DIR="${DATA_ROOT}/seg_result/cityscapes/"
BACKBONE="deepbase_resnet101_dilated8"
CONFIGS="configs/cityscapes/${BACKBONE}.json"
CONFIGS_TEST="configs/cityscapes/${BACKBONE}_test.json"

MODEL_NAME="ideal_distribute_ocrnet"
LOSS_TYPE="fs_auxce_loss"
CHECKPOINTS_NAME="${MODEL_NAME}_${BACKBONE}_$(date +%F_%H-%M-%S)"
LOG_FILE="./log/cityscapes/${CHECKPOINTS_NAME}.log"
echo "Logging to $LOG_FILE"
mkdir -p `dirname $LOG_FILE`

PRETRAINED_MODEL="./pretrained_model/resnet101-imagenet.pth"
MAX_ITERS=40000


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} \
                       --use_ground_truth \
                       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 ${LOSS_TYPE} --gpu 0 1 2 3 \
                       --resume_continue y --resume ./checkpoints/cityscapes/${CHECKPOINTS_NAME}_latest.pth \
                       --checkpoints_name ${CHECKPOINTS_NAME} --pretrained ${PRETRAINED_MODEL} \
                       --use_ground_truth \
                        2>&1 | tee -a ${LOG_FILE}

elif [ "$1"x == "debug"x ]; then
  ${PYTHON} -u main.py --configs ${CONFIGS} --drop_last y \
                       --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} --drop_last y \
  #                      --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \
  #                      --phase test --gpu 0 1 2 3 --resume ./checkpoints/cityscapes/${CHECKPOINTS_NAME}_latest.pth \
  #                      --test_dir ${DATA_DIR}/val/image \
  #                      --out_dir ${SAVE_DIR}${CHECKPOINTS_NAME}_crfv5_val 
                       # --out_dir ${SAVE_DIR}${CHECKPOINTS_NAME}_crf_val 

  cd lib/metrics
  ${PYTHON} -u cityscapes_evaluator.py --pred_dir ${SAVE_DIR}${CHECKPOINTS_NAME}_crfv3_val/label  \
                                       --gt_dir ${DATA_DIR}/val/label



elif [ "$1"x == "test"x ]; then
  ${PYTHON} -u main.py --configs ${CONFIGS} --drop_last y \
                       --backbone ${BACKBONE} --model_name ${MODEL_NAME} --checkpoints_name ${CHECKPOINTS_NAME} \
                       --phase test --gpu 0 --resume ./checkpoints/cityscapes/${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
