def warp_unpack(self,
lfp_in,
depthrep=None,
dir_out=None,
height=None,
imagerep=None,
threads=None,
width=None,
i=0):
"""TNT process: warp LFP to unpacked warp LFP
:param lfp_in: `str`, source LFP file
:param depthrep: `str`, depth map representation
:param dir_out: `str`, directory out
:param height: `int`, resolution height (in pixels)
:param imagerep: `str`, image representation for processed LFP
:param threads: `int`, number of processing threads to use
:param width: `int`, resolution width (in pixels)
:param i: `int`, iteration during multi file-out process
"""
depthrep = depthrep or self._db['depthrep_warp_unpack']
imagerep = imagerep or self._db['imagerep_warp_unpack']
height, width = self._set_height_width(lfp_in, height, width)
basedir, name, ext = self._split_path(lfp_in)
dir_out = self._check_dir(dir_out) if dir_out else basedir
lfp_out = self.lfp_out_unpacked(dir_out, name)
self._status("unpacked LFP", "warp", src=lfp_in, dest=dir_out, i=i)
tnt = Tnt(verbose=self.verbose)
tnt.threads(threads)
tnt.lfp_in(lfp_in)
tnt.dir_out(dir_out)
tnt.lfp_out(lfp_out)
tnt.transcode()
tnt.unpack()
tnt.imagerep(imagerep)
tnt.depthrep(depthrep)
tnt.height(height)
tnt.width(width)
self._execute(tnt)
if os.path.exists(lfp_out):
self.recipe_out(lfp_out, threads=threads, i=i)
self.warp_depth_map_json_out(lfp_out, i=i)
def warp_transcode(self, lfp_in, lfp_out=None, threads=None, i=0):
"""TNT process: warp LFP to warp LFP
:param lfp_in: `str`, source LFP file
:param lfp_out: `str`, destination LFP file
:param threads: `int`, number of processing threads to use
:param i: `int`, iteration during multi file-out process
"""
lfp_out = lfp_out or lfp_in
self._status("warp LFP", "warp", src=lfp_in, dest=lfp_out, i=i)
tnt = Tnt(verbose=self.verbose)
tnt.threads(threads)
tnt.lfp_in(lfp_in)
tnt.lfp_out(lfp_out)
tnt.transcode()
self._execute(tnt)