analyze_model.py raises division by zero (with demonstration models)

[Rodrigo Benenson]

When running analyze_model.py (with python 2.7) over the demonstratation model, I get a division by zero.

python analyze_model.py ../models/lpo_VOC_0.1.dat 
/home/rodrigob/.local/lib/python2.7/site-packages/numpy/core/_methods.py:55: RuntimeWarning: Mean of empty slice.
  warnings.warn("Mean of empty slice.", RuntimeWarning)
/home/rodrigob/.local/lib/python2.7/site-packages/numpy/core/_methods.py:67: RuntimeWarning: invalid value encountered in double_scalars
  ret = ret.dtype.type(ret / rcount)
Traceback (most recent call last):
  File "analyze_model.py", line 115, in <module>
    evaluateDetailed( prop, over_segs, segmentations )
  File "analyze_model.py", line 101, in evaluateDetailed
    print( names[m], '&', np.mean(ps[m]), '&', np.mean(bo[m]>=bbo)*100, '&', np.sqrt(np.mean(ma[m])), '&', t[m]/len(ma[m]) )
ZeroDivisionError: integer division or modulo by zero

I am not getting this right from the help and readme ?

[Rodrigo Benenson]

Same happens if I use a model created via

python train_lpo.py -f0 0.1 ../models/test_model_VOC_0.1.dat
Setting up the model
('Training', 0.1)

[Philipp Krähenbühl]

It seems the VOC dataset is not loaded properly. The dataset script silently ignores any files it cannot read, hence you get an empty dataset (0 images and 0 proposals) which leads to a division by 0. #7 is probably related to this.
I added a quick check to make sure that the dataset loads properly in be67fef. Just delete any VOC2012_*_mssf_1000.dat files you have in your tmp directory and rerun.

[Rodrigo Benenson]

Perfect, that was it. Fixing the data_dir path made it.