File size: 1,979 Bytes
054b62d
 
351f98b
 
054b62d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b5e054c
054b62d
 
 
 
 
 
b5e054c
054b62d
 
 
 
 
 
 
 
 
 
 
 
9e5c7f1
054b62d
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
#!/usr/bin/env bash

# bash install.sh --stage -1 --stop_stage -1 --system_version windows
# bash install.sh --stage 0 --stop_stage 0 --system_version ubuntu

python_version=3.8.10
system_version=ubuntu

verbose=true;
stage=-1
stop_stage=0

# parse options
while true; do
  [ -z "${1:-}" ] && break;  # break if there are no arguments
  case "$1" in
    --*) name=$(echo "$1" | sed s/^--// | sed s/-/_/g);
      eval '[ -z "${'"$name"'+xxx}" ]' && echo "$0: invalid option $1" 1>&2 && exit 1;
      old_value="(eval echo \\$$name)";
      if [ "${old_value}" == "true" ] || [ "${old_value}" == "false" ]; then
        was_bool=true;
      else
        was_bool=false;
      fi

      # Set the variable to the right value-- the escaped quotes make it work if
      # the option had spaces, like --cmd "queue.pl -sync y"
      eval "${name}=\"$2\"";

      # Check that Boolean-valued arguments are really Boolean.
      if $was_bool && [[ "$2" != "true" && "$2" != "false" ]]; then
        echo "$0: expected \"true\" or \"false\": $1 $2" 1>&2
        exit 1;
      fi
      shift 2;
      ;;

    *) break;
  esac
done

work_dir="$(pwd)"
data_dir="$(pwd)/data"
trained_models_dir="$(pwd)/trained_models"

mkdir -p "${data_dir}"
mkdir -p "${trained_models_dir}"

if [ ${system_version} = "centos" ]; then
  yum install -y bzip2 git lrzsz wget vim cronie
elif [ ${system_version} = "ubuntu" ]; then
  apt-get update
  apt-get install -y bzip2 git lrzsz wget vim cron
fi


if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
  $verbose && echo "stage 0: download deep filter net models."
  df_models_dir="${trained_models_dir}/df"
  mkdir -p "${df_models_dir}"
  cd "${df_models_dir}" || exit 1;

  model_name_array=(
    DeepFilterNet
    DeepFilterNet2
    DeepFilterNet3
  )

  for model_name in ${model_name_array[*]}
  do
    if [ ! -e "${model_name}.zip" ]; then
      wget -c "https://github.com/Rikorose/DeepFilterNet/raw/main/models/${model_name}.zip"
    fi
  done
fi