def get(self,video):
"""
return array of descriptor for each video frame
:rtype: numpy.array
"""
bdt = (self.name,self.sigsize,numpy.bool)
#if already computed return it
avfs = video.hdf5.get_avfeature_set("visual",self.name)
if not avfs :
avfs = video.hdf5.create_avfeature_set("visual",self.name,(bdt,))
self.ds = avfs[self.name]
d = decoder(video)
d.decode_qcif_gray(self._callback)
return avfs[self.name].read()
def get(self,video):
"""
return array of gist descriptor for each video frame
:rtype: numpy.array
"""
avfs = video.hdf5.get_avfeature_set("visual",self.name)
if not avfs :
gdt = (self.name,960,numpy.float)
avfs = video.hdf5.create_avfeature_set("visual",
self.name,(gdt,)
,None)
self.ds = avfs[self.name]
d = decoder(video)
d.decode_gist_rgb(self._callback)
return avfs[self.name].read()
def get(self,video):
"""
return array of descriptor for each video frame
:rtype: numpy.array
"""
self.avfs = video.hdf5.get_avfeature_set("visual",self.name)
if not self.avfs :
desc_dataset = (("keypoints",4,numpy.float32),
("vectors",128,numpy.uint8))
self.avfs = video.hdf5.create_avfeature_set("visual",
self.name,
desc_dataset)
d = decoder(video)
d.decode_qcif_gray(self._callback)
return (self.avfs['keypoints'].read(),
self.avfs['vectors'].read())
def get(self,video):
"""
:param video: video objects
:type video:
return array of histogram for each video frame
:rtype: numpy.array
"""
avfs = video.hdf5.get_avfeature_set("visual",self.name)
if not avfs :
datatype = (self.name,self.nbdim,self.dtype)
avfs = video.hdf5.create_avfeature_set("visual",
self.name,
(datatype,),
None)
self.ds = avfs[self.name]
d = decoder(video)
d.decode_qcif_gray(self._callback)
return avfs[self.name].read()
def getframes(self,framelist):
self.frames_list_ids = framelist
self.frames = []
d = decoder(self.video)
d.decode_qcif_rgb(self._frame_callback)
return self.frames
