dimension mismatch in test evaluation about voc-classification HOT 3 CLOSED

After further investigation it seems that each row in r['fc8'] is equal, and keeping only the first row fixes the shape mismatch. This is done by changing the folowing line:

#scr.append(1 * r['fc8'])
scr.append(1*np.expand_dims(r['fc8'][0], axis=0)) # (10,20) -> (1,20)

For 1 crop only the code runs without errors but produces poor mAP results (order of 3%), which is much lower than the 53% you get by random guessing...

from voc-classification.

Nevermind, this is what happens if you give a (faulty?) deploy.prototxt as input as opposed to a train.prototxt. If you're looking for a working example have a look here: https://github.com/jeffdonahue/bigan

from voc-classification.

@polo5 Did you solve the mismatch problem? I spent a lot of days debugging the code but failed. The jeffdonahue/bigan code has same problem. Besides, my test_resize_layer.cpp also failed in the 'make test' compiling.
Help,please.

from voc-classification.