generate_flowers102_list.py

"""
.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_flower102_list.py prefix_folder mode
    python generate_flower102_list.py jpg train > train_list.txt
    python ./generate_flower102_list.py jpg valid > val_list.txt
"""

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

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] - 1)
   print(message)