<s> '''<STR_LIT>''' <EOL> import os <EOL> from random import shuffle <EOL> import numpy as np <EOL> from scipy import io <EOL> import h5py <EOL> from dataset_utils import get_train_val_split_from_idx <EOL> from nideep . blobs import mat_utils as mu <EOL> from nideep . iow import to_lmdb <EOL> class NYUDV2DataType : <EOL> IMAGES = '<STR_LIT>' <EOL> LABELS = '<STR_LIT>' <EOL> DEPTHS = '<STR_LIT>' <EOL> def split_matfile_to_val_list ( fpath ) : <EOL> """<STR_LIT>""" <EOL> if not os . path . isfile ( fpath ) : <EOL> raise IOError ( "<STR_LIT>" % fpath ) <EOL> _ , ext = os . path . splitext ( fpath ) <EOL> if ext != '<STR_LIT>' : <EOL> raise IOError ( "<STR_LIT>" % fpath ) <EOL> fieldname = '<STR_LIT>' <EOL> val = io . loadmat ( fpath ) [ fieldname ] <EOL> val -= <NUM_LIT:1> <EOL> val_list = val . ravel ( ) . tolist ( ) <EOL> return val_list <EOL> def big_arr_to_arrs ( a ) : <EOL> """<STR_LIT>""" <EOL> return [ mu . cwh_to_chw ( x ) for x in a ] <EOL> def nyudv2_to_lmdb ( path_mat , <EOL> dst_prefix , <EOL> dir_dst , <EOL> val_list = [ ] ) : <EOL> if not os . path . isfile ( path_mat ) : <EOL> raise IOError ( "<STR_LIT>" % path_mat ) <EOL> _ , ext = os . path . splitext ( path_mat ) <EOL> if ext != '<STR_LIT>' and ext != '<STR_LIT>' and ext != '<STR_LIT>' : <EOL> raise IOError ( "<STR_LIT>" % path_mat ) <EOL> try : <EOL> data = io . loadmat ( path_mat ) <EOL> except ( ValueError , NotImplementedError ) : <EOL> data = h5py . File ( path_mat ) <EOL> pass <EOL> lmdb_info = [ ] <EOL> train_idx = None <EOL> for typ in [ NYUDV2DataType . IMAGES , <EOL> NYUDV2DataType . LABELS , <EOL> NYUDV2DataType . DEPTHS ] : <EOL> if typ == NYUDV2DataType . IMAGES : <EOL> dat = [ mu . cwh_to_chw ( x ) . astype ( np . float ) for x in data [ typ ] ] <EOL> elif typ == NYUDV2DataType . LABELS : <EOL> dat = np . expand_dims ( data [ typ ] , axis = <NUM_LIT:1> ) . astype ( int ) <EOL> dat = big_arr_to_arrs ( dat ) <EOL> elif typ == NYUDV2DataType . DEPTHS : <EOL> dat = np . expand_dims ( data [ typ ] , axis = <NUM_LIT:1> ) . astype ( np . float ) <EOL> dat = big_arr_to_arrs ( dat ) <EOL> else : <EOL> raise ValueError ( "<STR_LIT>" ) <EOL> if train_idx is None : <EOL> train_idx , val_idx = get_train_val_split_from_idx ( len ( dat ) , val_list ) <EOL> shuffle ( train_idx ) <EOL> print ( train_idx ) <EOL> print typ , len ( dat ) , dat [ <NUM_LIT:0> ] . shape <EOL> fpath_lmdb = os . path . join ( dir_dst , '<STR_LIT>' % ( dst_prefix , typ ) ) <EOL> to_lmdb . arrays_to_lmdb ( [ dat [ i ] for i in train_idx ] , fpath_lmdb ) <EOL> lmdb_info . append ( ( len ( train_idx ) , fpath_lmdb ) ) <EOL> fpath_lmdb = os . path . join ( dir_dst , '<STR_LIT>' % ( dst_prefix , typ ) ) <EOL> to_lmdb . arrays_to_lmdb ( [ dat [ i ] for i in val_idx ] , fpath_lmdb ) <EOL> lmdb_info . append ( ( len ( val_idx ) , fpath_lmdb ) ) <EOL> return lmdb_info <EOL> if __name__ == '<STR_LIT:__main__>' : <EOL> split_path = '<STR_LIT>' <EOL> val_list = split_matfile_to_val_list ( split_path ) <EOL> lmdb_info = nyudv2_to_lmdb ( os . path . expanduser ( '<STR_LIT>' ) , <EOL> '<STR_LIT>' , <EOL> os . path . expanduser ( '<STR_LIT>' ) , <EOL> val_list = val_list <EOL> ) <EOL> print lmdb_info <EOL> pass </s>
