test_model.py
618 Bytes
__author__ = 'chunk'
from common import *
from mdata import MSR, CV
from mmodel import SVM
from mfeat import HOG
timer = Timer()
def test_SVM_CV():
dcv = CV.DataCV()
X, Y = dcv.load_data()
msvm = SVM.ModelSVM()
msvm.train(X, Y)
for path, subdirs, files in os.walk('data/467/'):
for name in files:
imgpath = os.path.join(path, name)
feat = dcv.get_feat(imgpath, 'hog')
print name, msvm.predict(feat)
print msvm.test(X, Y) # 0.948892561983 for svm_cv ,0.989024793388 for svm_sk
if __name__ == '__main__':
test_SVM_CV()
print 'helllo'