Results interpretation

[mdimitrovg]

Hello, thanks for the work and for providing the code.

I ran the eval() on batch of 8 images an here's the result:

([[0.0145, 0.0029, 0.0645, 0.2702, 0.4544, 0.1338, 0.0399, 0.0154, 0.0011,
0.0032],
[0.0290, 0.0171, 0.0896, 0.2024, 0.2972, 0.1970, 0.0950, 0.0444, 0.0119,
0.0164],
[0.0121, 0.0162, 0.0500, 0.1337, 0.2570, 0.2802, 0.1702, 0.0536, 0.0113,
0.0157],
[0.0291, 0.0355, 0.0795, 0.1375, 0.1992, 0.2212, 0.1488, 0.0780, 0.0376,
0.0337],
[0.0518, 0.0196, 0.1209, 0.2296, 0.2699, 0.1419, 0.0686, 0.0596, 0.0187,
0.0192],
[0.0348, 0.0399, 0.0847, 0.1438, 0.1954, 0.2086, 0.1374, 0.0795, 0.0407,
0.0353],
[0.0304, 0.0156, 0.0889, 0.2146, 0.3070, 0.1885, 0.0862, 0.0429, 0.0105,
0.0153],
[0.0561, 0.0247, 0.1231, 0.2177, 0.2498, 0.1417, 0.0734, 0.0669, 0.0242,
0.0224]])

Could you explan better how to interpretate the scores ?