evaluation problems

[chirstinaFan]

def t2i(images, captions, npts=None, measure='cosine', return_ranks=False):
"""
Text->Images (Image Search)
Images: (5N, K) matrix of images
Captions: (5N, K) matrix of captions
"""
if npts is None:
npts = int(images.shape[0] / 5)
ims = numpy.array([images[i] for i in range(0, len(images), 5)])

why divide 5？

[fartashf]

For datasets used, there is always exactly 5 captions per image. These are made into 5N pairs where every 5 consecutive pair has the same image.

[chirstinaFan]

Thank you very much.
IN our datasets,there is always exactly 1 captions per image.should I just devide 1?

[fartashf]

Sure. Make sure you change all other places where this assumption is used. Search for the number 5 in the code.

[chirstinaFan]

OK, thanks for your help.