def getImageFeatureFromImagePath(imagePath, originalImageInfo, thresholds, num_cut = 5):
data = np.zeros([len(imagePath), 6+num_cut*2])
for (i,filename) in enumerate(imagePath):
id = getImageID(filename)
img = cv.imread(filename)
thisOriginalImageInfo = originalImageInfo[id]
data[i, :] = SubImageClassifier.getImageFeature(thisOriginalImageInfo, img, thresholds, num_cut)
print '%d images has been collected.' %len(imagePath)
return data
