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def __msgc_step3_discontinuity_localization(self): |
""" |
Estimate discontinuity in basis of low resolution image segmentation. |
:return: discontinuity in low resolution |
""" |
import scipy |
start = self._start_time |
seg = 1 - self.segmentation.astype(np.int8) |
self.stats["low level object voxels"] = np.sum(seg) |
self.stats["low level image voxels"] = np.prod(seg.shape) |
# in seg is now stored low resolution segmentation |
# back to normal parameters |
# step 2: discontinuity localization |
# self.segparams = sparams_hi |
seg_border = scipy.ndimage.filters.laplace(seg, mode="constant") |
logger.debug("seg_border: %s", scipy.stats.describe(seg_border, axis=None)) |
# logger.debug(str(np.max(seg_border))) |
# logger.debug(str(np.min(seg_border))) |
seg_border[seg_border != 0] = 1 |
logger.debug("seg_border: %s", scipy.stats.describe(seg_border, axis=None)) |
# scipy.ndimage.morphology.distance_transform_edt |
boundary_dilatation_distance = self.segparams["boundary_dilatation_distance"] |
seg = scipy.ndimage.morphology.binary_dilation( |
seg_border, |
# seg, |
np.ones( |
[ |
(boundary_dilatation_distance * 2) + 1, |
(boundary_dilatation_distance * 2) + 1, |
(boundary_dilatation_distance * 2) + 1, |
] |
), |
) |
if self.keep_temp_properties: |
self.temp_msgc_lowres_discontinuity = seg |
else: |
self.temp_msgc_lowres_discontinuity = None |
if self.debug_images: |
import sed3 |
pd = sed3.sed3(seg_border) # ), contour=seg) |
pd.show() |
pd = sed3.sed3(seg) # ), contour=seg) |
pd.show() |
# segzoom = scipy.ndimage.interpolation.zoom(seg.astype('float'), zoom, |
# order=0).astype('int8') |
self.stats["t3"] = time.time() - start |
return seg |
Senjō no Valkyria 3 : <unk> Chronicles ( Japanese : 戦場のヴァルキュリア3 , lit . Valkyria of the Battlefield 3 ) , commonly referred to as Valkyria Chronicles III outside Japan , is a tactical role @-@ playing video game developed by Sega and Media.Vision for the PlayStation Portable . Released in January 2011 in Japan , it is ... |
The game began development in 2010 , carrying over a large portion of the work done on Valkyria Chronicles II . While it retained the standard features of the series , it also underwent multiple adjustments , such as making the game more forgiving for series newcomers . Character designer <unk> Honjou and composer Hito... |
It met with positive sales in Japan , and was praised by both Japanese and western critics . After release , it received downloadable content , along with an expanded edition in November of that year . It was also adapted into manga and an original video animation series . Due to low sales of Valkyria Chronicles II , V... |
As with previous <unk> Chronicles games , Valkyria Chronicles III is a tactical role @-@ playing game where players take control of a military unit and take part in missions against enemy forces . Stories are told through comic book @-@ like panels with animated character portraits , with characters speaking partially ... |
def __multiscale_gc_lo2hi_run(self): # , pyed): |
""" |
Run Graph-Cut segmentation with refinement of low resolution multiscale graph. |
In first step is performed normal GC on low resolution data |
Second step construct finer grid on edges of segmentation from first |
step. |
There is no option for use without `use_boundary_penalties` |
""" |
# from PyQt4.QtCore import pyqtRemoveInputHook |
# pyqtRemoveInputHook() |
self._msgc_lo2hi_resize_init() |
self.__msgc_step0_init() |
hard_constraints = self.__msgc_step12_low_resolution_segmentation() |
# ===== high resolution data processing |
seg = self.__msgc_step3_discontinuity_localization() |
self.stats["t3.1"] = (time.time() - self._start_time) |
graph = Graph( |
seg, |
voxelsize=self.voxelsize, |
nsplit=self.segparams["block_size"], |
edge_weight_table=self._msgc_npenalty_table, |
compute_low_nodes_index=True, |
) |
# graph.run() = graph.generate_base_grid() + graph.split_voxels() |
# graph.run() |
graph.generate_base_grid() |
self.stats["t3.2"] = (time.time() - self._start_time) |
graph.split_voxels() |
self.stats["t3.3"] = (time.time() - self._start_time) |
self.stats.update(graph.stats) |
self.stats["t4"] = (time.time() - self._start_time) |
mul_mask, mul_val = self.__msgc_tlinks_area_weight_from_low_segmentation(seg) |
area_weight = 1 |
unariesalt = self.__create_tlinks( |
self.img, |
self.voxelsize, |
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