Error During test

[nicolasbolzan]

Hi!, awesome code.
I'm getting this error during the execution of test-classifier.py:

Traceback (most recent call last):
File "test-classifier.py", line 69, in
pred = clf.predict(fd)
File "/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py", line 268, in predict
scores = self.decision_function(X)
File "/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py", line 249, in decision_function
% (X.shape[1], n_features))
ValueError: X has 2430 features per sample; expecting 5184

Is there any correlation with the number of positive and negative samples?

I'm puting 100 Pos images and 13000 Neg images
Resolution: 80X80

Regards!

[ghanshyamdudhatrapy]

Hi nicolasbolzan,
you have to take double negative images then positive images,

if you are take 100 +ve images the you have to take maximum 200 -ve images

May be this tips helps you to resolve your problem

[Nakul22]

Change line 44 from
min_wdw_sz = (100, 40)
to
min_wdw_sz = (64, 64)

This will create equal number of gradient features as in sum model.