Closed zimmerm closed 8 years ago
Hi Zimmerm, sorry for late reply. There was a bug reported in https://github.com/machrisaa/tensorflow-vgg/pull/3
It has been fixed and here is the result after fixed:
[[ 2.38406561e-09 4.29311475e-09 8.45095216e-10 ..., 7.95107713e-09
2.29003358e-08 1.97536032e-08]
[ 2.78826029e-08 4.09706814e-07 1.02887476e-08 ..., 1.14151540e-07
6.34903756e-08 1.54330864e-05]]
('Top1: ', 'n02129604 tiger, Panthera tigris', 0.8269155)
('Top5: ', [('n02129604 tiger, Panthera tigris', 0.8269155), ('n02123159 tiger cat', 0.17136873), ('n02128925 jaguar, panther, Panthera onca, Felis onca', 0.0012765416), ('n02127052 lynx, catamount', 0.00017351769), ('n02128385 leopard, Panthera pardus', 0.00015544165)])
('Top1: ', 'n03598930 jigsaw puzzle', 0.99591404)
('Top5: ', [('n03598930 jigsaw puzzle', 0.99591404), ('n03291819 envelope', 0.00028725094), ('n03908618 pencil box, pencil case', 0.00022548562), ('n03188531 diaper, nappy, napkin', 0.00021818142), ('n04033995 quilt, comforter, comfort, puff', 0.00018459425)])
Hi,
i just cloned your rep and downloaded the *.npy files provided. I didn't change any file and run the test_vgg16.py example, which works but leads to odd classification results:
Any thoughts on what might be the problem? I'm using tensorflow 0.8.0 and tensorflow-vgg16 actually works fine.
Thanks!