def extract(cls, picture=None, params=default_param):
feature = cls.extractor(picture,
P=params['P'],
R=params['R'],
method=params['method'])
return feature.ravel()
def extract(cls, picture=None, params=default_param):
feature = cls.extractor(picture,
P=params['P'],
R=params['R'],
method=params['method'])
return feature.ravel()
def extract_one(self, image):
# print (self.config['frequency'], self.config['fre'], self.config['fre'])
feature_lbp, foo = skimage.filters.gabor(image,frequency = float(self.config['frequency']))
feature = self.extractor(feature_lbp, pixels_per_cell=(int(self.config['pixels_per_cell_x']),
int(self.config['pixels_per_cell_y'])),
cells_per_block=(int(self.config['cells_per_block_x']),
int(self.config['cells_per_block_y'])))
if bool(self.config['ravel']):
feature = feature.ravel()
# print(feature)
return feature
def extract_one(self, image):
# Extract feature
feature = self.extractor(image,
P=int(self.config.get('P', 32)),
R=int(self.config.get('R', 1)),
method=self.config.get(
'method', 'nri_uniform'))
# Expend it?
if bool(self.config.get('ravel', True)):
feature = feature.ravel()
return feature
def extract_one(self, image):
# Extract feature
feature = self.extractor(
image,
pixels_per_cell=(int(self.config.get('pixels_per_cell_x')),
int(self.config.get('pixels_per_cell_y'))),
cells_per_block=(int(self.config.get('cells_per_block_x')),
int(self.config.get('cells_per_block_y'))))
# print (feature)
# Expend it?
if bool(self.config.get('ravel', True)):
feature = feature.ravel()
# print('hog', len(feature))
return feature
def extract_one(self, image):
feature_lbp = skimage.feature.local_binary_pattern(image,
P=int(self.config.get('P')),
R=int(self.config.get('R')),
method=self.config.get('method'))
feature = self.extractor(feature_lbp,
pixels_per_cell=(int(self.config.get('pixels_per_cell_x')),
int(self.config.get('pixels_per_cell_y'))),
cells_per_block=(int(self.config.get('cells_per_block_x')),
int(self.config.get('cells_per_block_y'))))
if bool(self.config.get('ravel')):
feature = feature.ravel()
# print(feature)
return feature
def extract_one(self, image):
# print (self.config['frequency'], self.config['fre'], self.config['fre'])
feature_lbp, foo = skimage.filters.gabor(image,
frequency=float(
self.config['frequency']))
# feature = self.extractor(feature_lbp, pixels_per_cell=(int(self.config['pixels_per_cell_x']),
# int(self.config['pixels_per_cell_y'])),
# cells_per_block=(int(self.config['cells_per_block_x']),
# int(self.config['cells_per_block_y'])))
feature = self.extractor(feature_lbp,
P=int(self.config.get('P')),
R=int(self.config.get('R')),
method=self.config.get(
'method', 'nri_uniform'))
if bool(self.config['ravel']):
feature = feature.ravel()
# print(feature)
return feature
def extract(cls, picture=None, params=default_param):
feature = cls.extractor(picture,
pixels_per_cell=params['pixels_per_cell'],
cells_per_block=params['cells_per_block'])
return feature.ravel()