Information

[hajourra]

def parse_devkit_meta(devkit_path):
12 meta_mat = scipy.io.loadmat(devkit_path+'/meta.mat')
13 labels_dic = dict((m[0][1][0], m[0][0][0][0]-1) for m in meta_mat['synsets'] if m[0][0][0][0] >= 1 and m[0][0][0][0] <= 1000)
14 label_names_dic = dict((m[0][1][0], m[0][2][0]) for m in meta_mat['synsets'] if m[0][0][0][0] >= 1 and m[0][0][0][0] <= 1000)
15 label_names = [tup[1] for tup in sorted([(v,label_names_dic[k]) for k,v in labels_dic.items()], key=lambda x:x[0])]
16 fval_ground_truth = open(devkit_path+'/data/ILSVRC2012_validation_ground_truth.txt','r')
17 validation_ground_truth = [[int(line.strip()) - 1] for line in fval_ground_truth.readlines()]
18 fval_ground_truth.close()

please for which purpose we use this function?

[JosephKJ]

parse_devkit_meta() parses meta.mat and ILSVRC2012_validation_ground_truth.txt to extract:

• labels_dic: dictionary that maps folder name -> class number {u'n02672831': 222, ... ,u'n02110627': 126}

• label_names: list of class_names (Egyptian cat, jaguar, panther, Panthera onca, Felis onca, etc...)

• validation_ground_truth: class number of validation data (I think this is not used in iCaRL)