import scipy.io
import numpy as np
import os
import sys

""".mat files data format
imagelabel.mat
jpg_name   1     2     3 ... 
label      32    12    66 ... 

setid.mat
jpg_name(10 records in a class)  24 6 100 65 32 ...
label                            4 ...
"""
"""
Usage: 
       python generate_flower_list.py prefix_folder mode

       python generate_flower_list.py jpg train > train_list.txt
       python generate_flower_list.py jpg valid > val_list.txt
"""
data_path = sys.argv[1]
imagelabels_path='./imagelabels.mat'
setid_path='./setid.mat'

labels = scipy.io.loadmat(imagelabels_path)
labels = np.array(labels['labels'][0])
setid = scipy.io.loadmat(setid_path)

d = {}
d['train'] = np.array(setid['trnid'][0])
d['valid'] = np.array(setid['valid'][0])
d['test']=np.array(setid['tstid'][0])

for id in d[sys.argv[2]]:
   message = str(data_path)+"/image_"+str(id).zfill(5)+".jpg "+str(labels[id-1])
   print(message)