def __init__(self,
uid=None,
pid=None,
exit_tme=None,
tme=None,
int_in_volume=0,
int_in_rate=0,
int_out_volume=0,
int_out_rate=0,
ext_in_volume=0,
ext_in_rate=0,
ext_out_volume=0,
ext_out_rate=0):
Feature.__init__(pid=pid, uid=uid, tme=tme)
self.exit_tme = self._convert_to_default_type("exit_tme", exit_tme)
self.int_in_volume = self._convert_to_default_type(
"int_in_volume", int_in_volume)
self.int_in_rate = self._convert_to_default_type(
"int_in_rate", int_in_rate)
self.int_out_volume = self._convert_to_default_type(
"int_out_volume", int_out_volume)
self.int_out_rate = self._convert_to_default_type(
"int_out_rate", int_out_rate)
self.ext_in_volume = self._convert_to_default_type(
"ext_in_volume", ext_in_volume)
self.ext_in_rate = self._convert_to_default_type(
"ext_in_rate", ext_in_rate)
self.ext_out_volume = self._convert_to_default_type(
"ext_out_volume", ext_out_volume)
self.ext_out_rate = self._convert_to_default_type(
"ext_out_rate", ext_out_rate)
def __init__(self,**kwargs):
u"""
:param framefilter: selected framenumber where we will
compute histogram
:type: array
"""
Feature.__init__(self,**kwargs)
def __init__(self, biodb, step_size=5, levels=[], name_hier=[]):
Feature.__init__(self, biodb= biodb)
self.step_size= step_size
if levels == []:
levels=[None]*3
self.levels= levels
if name_hier == []:
name_hier= [""]*3
self.name_hier= name_hier
self.links=[]
def __init__(self, biodb, step_size=5, levels=[], name_hier=[], parent_hier=[]):
Feature.__init__(self, biodb= biodb)
self.step_size= step_size
if parent_hier == []:
parent_hier=[None]*3
self.parent_hier= parent_hier
if levels == []:
levels=[None]*3
self.levels= levels
self.links=[]
def __init__(self, quantityName, zScale=1.0, offset=0.0, **kwargs):
'''
Parameters:
quantityName: string - name of a quantity
zScale: float - multiply point z-values by this
offset: float - add this to point z-values
'''
Feature.__init__(self, **kwargs)
self.quantityName = quantityName
self.zScale = zScale
self.offset = offset
def __init__(self, quantityName, zScale=1.0,
offset=0.0, **kwargs):
'''
Parameters:
quantityName: string - name of a quantity
zScale: float - multiply point z-values by this
offset: float - add this to point z-values
'''
Feature.__init__(self, **kwargs)
self.quantityName = quantityName
self.zScale = zScale
self.offset = offset
def __init__(self, field, word_file):
""" Get the word list from the specified file.
:param field: The field to which this feature belongs.
:param word_file: The path to an alphabetized word list, one per line.
:return: None
"""
word_file = field.settings.resolve_path(word_file)
with open(word_file, 'r') as f:
words = f.readlines()
words = [w.strip() for w in words if w.islower()]
self._dict_words = words
Feature.__init__(self, field)
def __init__(self, field, word_file):
""" Get the word list from the specified file.
:param field: The field to which this feature belongs.
:param word_file: The path to an alphabetized word list, one per line.
:return: None
"""
word_file = field.settings.resolve_path(word_file)
with open(word_file, 'r') as f:
words = f.readlines()
words = [w.strip() for w in words if w.islower()]
self._dict_words = words
Feature.__init__(self, field)
def __init__(self, _id=0):
Feature.__init__(self)
self.id = _id # Edge_ID（用于显示）
self.starting_node_id = -1
self.ending_node_id = -1
def __init__(self):
Feature.__init__(self)
self.background_image = np.array([])
self.video_capture = cv2.VideoCapture()
def __init__(self,**kwargs):
u"""
compute video signature based on dct descriptor
"""
Feature.__init__(self,**kwargs)
def __init__(self,**kwargs):
Feature.__init__(self,**kwargs)
self.log = logging.getLogger('pimpy.image.features.sift')
def __init__(self, field, string):
self._string = string
Feature.__init__(self, field)
def __init__(self, field, reverse=False):
self.reverse = reverse
Feature.__init__(self, field)
def __init__(self, field, phrases):
self._phrases = phrases
Feature.__init__(self, field)
def __init__(self,**kwargs):
Feature.__init__(self,**kwargs)
self.log = logging.getLogger('pimpy.image.features.goodfeaturestotrack')
def __init__(self,**kwargs):
u"""
compute video gist for each frame
"""
Feature.__init__(self,**kwargs)
def __init__(self, column):
Feature.__init__(self)
self.column = column
def __init__(self, field, reverse=False):
self.reverse = reverse
Feature.__init__(self, field)
def __init__(self, field, string):
self._string = string
Feature.__init__(self, field)
def __init__(self, field, phrases):
self._phrases = phrases
Feature.__init__(self, field)
