#!/bin/bash

eval=$1
eval_logdir=$2
model=$3
rec_path=$4
train_dir=$5

prefix="/media/compute/homes/saschroeder"
echo "eval: $eval"
echo "logdir: $eval_logdir"
echo "model: $model"
echo "recpath: $rec_path"

# evaluate over several testsets
cd $eval
#for i in white red black ; do
for i in all; do
  cur_eval="$eval/$i"
  cur_logdir="$eval_logdir/$i"
  cur_rec_path="$rec_path/$i"
  mkdir -p $cur_logdir
  python ${prefix}/object_recognition/image_recognition_util/src/evaluateNet.py --testset=$cur_eval --detect_graph=$train_dir --labels="$model/labelMap.pbtxt" --rec_graph=$cur_rec_path --logdir=$cur_logdir
done