def raw_depth_out(self,
lfp_in,
calibration_in=None,
depth_in=None,
depthrep=None,
dir_out=None,
imagerep=None,
orientation=None,
threads=None,
i=0):
"""TNT process: raw LFR to warp depth out
:param lfp_in: `str`, source LFP file
:param calibration_in: `str`, calibration directory
:param depth_in: `str`, depth map input file
:param depthrep: `str`, depth map representation
:param dir_out: `str`, directory out
:param imagerep: `str`, image representation for processed LFP
:param orientation: `int`, image orientation
:param threads: `int`, number of processing threads to use
:param i: `int`, iteration during multi file-out process
"""
calibration_in = self._set_calibration_in(lfp_in, calibration_in)
depthrep = depthrep or self._db['depthrep_raw_depth_out']
imagerep = imagerep or self._db['imagerep_raw_depth_out']
basedir, name, ext = self._split_path(lfp_in)
dir_out = self._check_dir(dir_out) if dir_out else basedir
depth_out = self.depth_out(dir_out, name, depthrep)
image_out = self.image_out(dir_out, name, imagerep)
depth_out = utils.sanitize_path(depth_out)
image_out = utils.sanitize_path(image_out)
jsn_out = self.jsn_out(image_out)
dest = depth_out, image_out, jsn_out
self._status("depth map", "raw", src=lfp_in, dest=dest, i=i)
tnt = Tnt(verbose=self.verbose)
tnt.threads(threads)
tnt.lfp_in(lfp_in)
tnt.depth_out(depth_out)
tnt.image_out(image_out)
tnt.orientation(orientation)
tnt.calibration_in(calibration_in)
tnt.depth_in(depth_in)
self._execute(tnt)
def raw_unpack(self,
lfp_in,
calibration_in=None,
depth_in=None,
depthrep=None,
dir_out=None,
height=None,
imagerep=None,
orientation=None,
perspective_u=None,
perspective_v=None,
recipe_in=None,
threads=None,
width=None,
i=0):
"""TNT process: raw LFR to image out
:param lfp_in: `str`, source LFP file
:param calibration_in: `str`, calibration directory
:param depth_in: `str`, depth map input 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 orientation: `int`, image orientation
:param perspective_u: `float`, perspective u coordinate
:param perspective_v: `float`, perspective v coordinate
:param recipe_in: `str`, input recipe file
: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
"""
calibration_in = self._set_calibration_in(lfp_in, calibration_in)
depthrep = depthrep or self._db['depthrep_raw_unpack']
imagerep = imagerep or self._db['imagerep_raw_unpack']
height, width = self._set_height_width(lfp_in, height, width)
basedir, name, ext = self._split_path(lfp_in)
recipe_in = self.set_recipe_in(recipe_in, i)
parent_dir = self._check_dir(dir_out) if dir_out else basedir
dir_out = os.path.join(parent_dir, name)
dir_out = self._check_dir(dir_out, sane=True)
lfp_out = self.lfp_out_unpacked(dir_out, name)
self._status("unpacked warp LFP", "raw", 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.unpack()
tnt.imagerep(imagerep)
tnt.depthrep(depthrep)
tnt.height(height)
tnt.width(width)
tnt.orientation(orientation)
tnt.depth_in(depth_in)
tnt.recipe_in(recipe_in)
tnt.calibration_in(calibration_in)
tnt.perspective_u(perspective_u)
tnt.perspective_v(perspective_v)
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 raw_image_out(self,
lfp_in,
image_out=None,
calibration_in=None,
depth_in=None,
dir_out=None,
focus=None,
height=None,
imagerep=None,
orientation=None,
perspective_u=None,
perspective_v=None,
recipe_in=None,
threads=None,
width=None,
i=0):
"""TNT process: raw LFR to image out
:param lfp_in: `str`, source LFP file
:param calibration_in: `str`, calibration directory
:param depth_in: `str`, depth map input file
:param dir_out: `str`, directory out
:param focus: `float`, image focus point
:param height: `int`, resolution height (in pixels)
:param image_out: `str`, destination image file
:param imagerep: `str`, image representation for processed LFP
:param orientation: `int`, image orientation
:param perspective_u: `float`, perspective u coordinate
:param perspective_v: `float`, perspective v coordinate
:param recipe_in: `str`, input recipe file
: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
"""
calibration_in = self._set_calibration_in(lfp_in, calibration_in)
imagerep = imagerep or self._db['imagerep_raw_image_out']
height, width = self._set_height_width(lfp_in, height, width)
u, v = perspective_u, perspective_v
recipe_in = self.set_recipe_in(recipe_in, i)
if not image_out:
basedir, name, ext = self._split_path(lfp_in)
dir_out = self._check_dir(dir_out) if dir_out else basedir
image_out = self.image_out(dir_out, name, imagerep)
image_out = self._image_id(image_out, focus, u, v)
image_out = utils.sanitize_path(image_out)
self._status("image", "raw", src=lfp_in, dest=image_out, i=i)
tnt = Tnt(verbose=self.verbose)
tnt.threads(threads)
tnt.lfp_in(lfp_in)
tnt.image_out(image_out)
tnt.calibration_in(calibration_in)
tnt.imagerep(imagerep)
tnt.height(height)
tnt.width(width)
tnt.orientation(orientation)
tnt.depth_in(depth_in)
tnt.recipe_in(recipe_in)
tnt.focus(focus)
tnt.perspective_u(u)
tnt.perspective_v(v)
self._execute(tnt)