def get_visible_paths(self, position, display_plane):
# TODO: Here we need to obtain the image using the data source object
# if display_plane == 0:
# current_slice = numpy.transpose(numpy.array(self._overlay_image[0, position[0], :, :, 0], dtype=numpy.float32))
# elif display_plane == 1:
# current_slice = numpy.array(self._overlay_image[0, :, position[1], :, 0], dtype=numpy.float32)
# elif display_plane == 2:
# current_slice = numpy.array(self._overlay_image[0, :, :, position[2], 0], dtype=numpy.float32)
#
# return _image_processing.findEdgePaths(current_slice)
# TODO: replace this by determination of the actual bounding box
rq = self._overlay_layer.datasources[0].request(
(slice(0, 1),
slice(10, 70),
slice(10, 70),
slice(10, 70),
slice(0, 1)
))
print self.editor.imageViews[0].viewportRect()
# Get request data and convert it into an array
slc = numpy.asarray(rq.wait(), dtype=numpy.float32)
# print slc.shape
return _image_processing.findEdgePaths(slc[0, :, :, position[2], 0])
def get_visible_paths(self, position, display_plane):
if display_plane == 0:
current_slice = numpy.transpose(numpy.array(self._overlay_image[0, position[0], :, :, 0], dtype=numpy.float32))
elif display_plane == 1:
current_slice = numpy.array(self._overlay_image[0, :, position[1], :, 0], dtype=numpy.float32)
elif display_plane == 2:
current_slice = numpy.array(self._overlay_image[0, :, :, position[2], 0], dtype=numpy.float32)
return _image_processing.findEdgePaths(current_slice)
def get_visible_paths(self, position, display_plane):
if display_plane == 0:
current_slice = numpy.transpose(
numpy.array(self._overlay_image[0, position[0], :, :, 0],
dtype=numpy.float32))
elif display_plane == 1:
current_slice = numpy.array(self._overlay_image[0, :,
position[1], :, 0],
dtype=numpy.float32)
elif display_plane == 2:
current_slice = numpy.array(self._overlay_image[0, :, :,
position[2], 0],
dtype=numpy.float32)
return _image_processing.findEdgePaths(current_slice)
def get_visible_paths(self, position, display_plane):
# TODO: Here we need to obtain the image using the data source object
# if display_plane == 0:
# current_slice = numpy.transpose(numpy.array(self._overlay_image[0, position[0], :, :, 0], dtype=numpy.float32))
# elif display_plane == 1:
# current_slice = numpy.array(self._overlay_image[0, :, position[1], :, 0], dtype=numpy.float32)
# elif display_plane == 2:
# current_slice = numpy.array(self._overlay_image[0, :, :, position[2], 0], dtype=numpy.float32)
#
# return _image_processing.findEdgePaths(current_slice)
# TODO: replace this by determination of the actual bounding box
rq = self._overlay_layer.datasources[0].request(
(slice(0, 1), slice(10, 70), slice(10, 70), slice(10,
70), slice(0,
1)))
print self.editor.imageViews[0].viewportRect()
# Get request data and convert it into an array
slc = numpy.asarray(rq.wait(), dtype=numpy.float32)
# print slc.shape
return _image_processing.findEdgePaths(slc[0, :, :, position[2], 0])
# labels = numpy.zeros((5, 4), dtype=numpy.float32)
# labels[:] = 3
# labels[:, 0] = 1
# labels[0:2, 1] = 1
# labels[0:2, 2:4] = 2
# labels[2, 1:3] = 2
# labels = numpy.zeros((10, 10), dtype=numpy.float32)
# labels[:] = 1
# labels[6:10, :] = 2
# labels[5, 0:3] = 2
# labels[5, 7:10] = 2
labels = numpy.zeros((10, 10), dtype=numpy.float32)
labels[:] = 1
labels[0:5, 0:5] = 2
# labels[0:5, 5:10] = 1
print labels
print _image_processing.findEdgePaths(labels)
back = (numpy.ones((500, 500, 500)) * 0).astype(numpy.uint8)
back[:] = 1
for i in range(0, 500, 50):
back[i:i+50, :] = back[i:i+50, :] + i
back[:, i:i+50] = back[:, i:i+50] + i
ol = (numpy.zeros((500, 500, 500))).astype(numpy.uint8)
ol[:] = back
print back
# labels = numpy.zeros((5, 4), dtype=numpy.float32)
# labels[:] = 3
# labels[:, 0] = 1
# labels[0:2, 1] = 1
# labels[0:2, 2:4] = 2
# labels[2, 1:3] = 2
# labels = numpy.zeros((10, 10), dtype=numpy.float32)
# labels[:] = 1
# labels[6:10, :] = 2
# labels[5, 0:3] = 2
# labels[5, 7:10] = 2
labels = numpy.zeros((10, 10), dtype=numpy.float32)
labels[:] = 1
labels[0:5, 0:5] = 2
# labels[0:5, 5:10] = 1
print labels
print _image_processing.findEdgePaths(labels)
back = (numpy.ones((500, 500, 500)) * 0).astype(numpy.uint8)
back[:] = 1
for i in range(0, 500, 50):
back[i : i + 50, :] = back[i : i + 50, :] + i
back[:, i : i + 50] = back[:, i : i + 50] + i
ol = (numpy.zeros((500, 500, 500))).astype(numpy.uint8)
ol[:] = back
print back
