eval_test.sh

# Exit immediately if a command exits with a non-zero status.
set -e

# Move one-level up to tensorflow/models/research directory.
cd ..

# Update PYTHONPATH.
export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim

# Set up the working environment.
CURRENT_DIR=$(pwd)
WORK_DIR="${CURRENT_DIR}/deeplab"

# datasets folder
DATASET_DIR="datasets"

# Go back to original directory.
cd "${CURRENT_DIR}"

# Set up the working directories.
MVD_FOLDER="mvd"
EXP_FOLDER="exp/train_on_trainval_set"
INIT_FOLDER="${WORK_DIR}/${DATASET_DIR}/${MVD_FOLDER}/init_models"
TRAIN_LOGDIR="${WORK_DIR}/${DATASET_DIR}/${MVD_FOLDER}/${EXP_FOLDER}/train"
EVAL_LOGDIR="${WORK_DIR}/${DATASET_DIR}/${MVD_FOLDER}/${EXP_FOLDER}/eval"
VIS_LOGDIR="${WORK_DIR}/${DATASET_DIR}/${MVD_FOLDER}/${EXP_FOLDER}/vis"
EXPORT_DIR="${WORK_DIR}/${DATASET_DIR}/${MVD_FOLDER}/${EXP_FOLDER}/export"


python "${WORK_DIR}"/eval.py \
  --logtostderr \
  --eval_split="val" \
  --model_variant="xception_65" \
  --atrous_rates=6 \
  --atrous_rates=12 \
  --atrous_rates=18 \
  --output_stride=16 \
  --decoder_output_stride=4 \
  --eval_crop_size=513 \
  --eval_crop_size=513 \
  --checkpoint_dir="${TRAIN_LOGDIR}" \
  --eval_logdir="${EVAL_LOGDIR}" \
  --dataset_dir="${MVD_DATASET}" \
  --max_number_of_evaluations=1