def blobs_to_lattice(self, tolerance=None, spacing=None, minspace=None, extend=None, auto_center=False):
if self.__results['blobs'] is None:
raise RuntimeError('need blobs to create lattice')
self.configure_lattice(tolerance=tolerance,spacing=spacing,minspace=minspace, extend=extend)
shape = self.__results['original'].shape
blobs = self.__results['blobs']
tolerance = self.lattice_config['tolerance']
spacing = self.lattice_config['spacing']
extend = self.lattice_config['extend']
# make make list of blob coords:
points = []
pointdict = {}
if len(blobs) < 2 and extend !='off':
self.__update_result('holes', [])
return
for blob in blobs:
point = tuple(blob.stats['center'])
points.append(point)
pointdict[point] = blob
if extend == '3x3':
if auto_center:
self.logger.info('Use the blob closest to the center as the 3x3 lattice center')
points = lattice.sortPointsByDistances(points, (shape[0]/2,shape[1]/2))
best_lattice = lattice.pointsToLattice(points, spacing, tolerance, first_is_center=True)
else:
best_lattice = lattice.pointsToLattice(points, spacing, tolerance)
if best_lattice is None:
best_lattice = []
holes = []
elif extend == 'full':
best_lattice = best_lattice.raster(shape)
holes = self.points_to_blobs(best_lattice)
elif extend == '3x3':
best_lattice = best_lattice.raster(shape, layers=1)
holes = self.points_to_blobs(best_lattice)
else:
best_lattice = best_lattice.points
holes = [pointdict[tuple(point)] for point in best_lattice]
self.__update_result('lattice', best_lattice)
if best_lattice is None:
self.__update_result('holes', [])
else:
self.__update_result('holes', holes)
def blobs_to_lattice(self, tolerance=None, spacing=None, minspace=None):
if self.__results['blobs'] is None:
raise RuntimeError('need blobs to create lattice')
self.configure_lattice(tolerance=tolerance,spacing=spacing,minspace=minspace)
blobs = self.__results['blobs']
tolerance = self.lattice_config['tolerance']
spacing = self.lattice_config['spacing']
# make make list of blob coords:
points = []
pointdict = {}
for blob in blobs:
point = tuple(blob.stats['center'])
points.append(point)
pointdict[point] = blob
best_lattice = lattice.pointsToLattice(points, spacing, tolerance)
if best_lattice is None:
best_lattice = []
else:
best_lattice = best_lattice.points
holes = [pointdict[tuple(point)] for point in best_lattice]
self.__update_result('lattice', best_lattice)
if best_lattice is None:
self.__update_result('holes', [])
else:
self.__update_result('holes', holes)
def _run(self):
# get deps
points = self.depresults['input']
# get params
tolerance = self.params['tolerance']
spacing = self.params['spacing']
# make make list of blob coords:
testpoints = []
for point in points:
testpoint = point['row'], point['column']
testpoints.append(testpoint)
best_lattice = lattice.pointsToLattice(testpoints, spacing, tolerance)
if best_lattice is None:
best_lattice = []
holes = []
else:
best_lattice = best_lattice.points
latpoints = [{'row': point[0], 'column': point[1]} for point in best_lattice]
return latpoints
def convolve3x3WithBlobPoints(self, points):
if len(points) < 2:
self.logger.warning(
'Need at least 2 point to determine 3x3 patter orientation')
return []
shape = self.__results['original'].shape
tolerance = self.lattice_config['tolerance']
spacing = self.lattice_config['spacing']
total_lattice_points = []
# Use the first two points to get the rotation of the 3x3 holes
vector = (points[1][0] - points[0][0], points[1][1] - points[0][1])
vector_length = math.hypot(vector[0], vector[1])
# scaling the 3x3 pattern to have the spacing of the lattice_config
scaled_vector = map((lambda x: x * spacing / vector_length), vector)
def shiftpoint(point, vector):
return (point[0] + vector[0], point[1] + vector[1])
for point in points:
newpoints = [point, shiftpoint(point, scaled_vector)]
best_lattice = lattice.pointsToLattice(newpoints,
spacing,
tolerance,
first_is_center=True)
best_lattice_points = best_lattice.raster(shape, layers=1)
total_lattice_points.extend(best_lattice_points)
return total_lattice_points
def _run(self):
# get deps
points = self.depresults['input']
# get params
tolerance = self.params['tolerance']
spacing = self.params['spacing']
# make make list of blob coords:
testpoints = []
for point in points:
testpoint = point['row'], point['column']
testpoints.append(testpoint)
best_lattice = lattice.pointsToLattice(testpoints, spacing, tolerance)
if best_lattice is None:
best_lattice = []
holes = []
else:
best_lattice = best_lattice.points
latpoints = [{
'row': point[0],
'column': point[1]
} for point in best_lattice]
return latpoints
def blobs_to_lattice(self,
tolerance=None,
spacing=None,
minspace=None,
extend=None,
auto_center=False):
if self.__results['blobs'] is None:
raise RuntimeError('need blobs to create lattice')
self.configure_lattice(tolerance=tolerance,
spacing=spacing,
minspace=minspace,
extend=extend)
shape = self.__results['original'].shape
blobs = self.__results['blobs']
tolerance = self.lattice_config['tolerance']
spacing = self.lattice_config['spacing']
extend = self.lattice_config['extend']
# make make list of blob coords:
points = []
pointdict = {}
if len(blobs) < 2 and extend != 'off':
self.__update_result('holes', [])
return
for blob in blobs:
point = tuple(blob.stats['center'])
points.append(point)
pointdict[point] = blob
if extend == '3x3':
# Not to use points to determine Lattice but continue with extension
best_lattice = True
else:
best_lattice = lattice.pointsToLattice(points, spacing, tolerance)
if best_lattice is None:
best_lattice_points = []
holes = []
elif extend == 'full':
best_lattice_points = best_lattice.raster(shape)
holes = self.points_to_blobs(best_lattice_points)
elif extend == '3x3':
best_lattice_points = self.convolve3x3WithBlobPoints(points)
holes = self.points_to_blobs(best_lattice_points)
else:
best_lattice_points = best_lattice.points
holes = [pointdict[tuple(point)] for point in best_lattice_points]
self.__update_result('lattice', best_lattice)
if best_lattice is None:
self.__update_result('holes', [])
else:
self.__update_result('holes', holes)
def blobs_to_lattice(self, tolerance=None, spacing=None, minspace=None, extend=None, auto_center=False):
if self.__results['blobs'] is None:
raise RuntimeError('need blobs to create lattice')
self.configure_lattice(tolerance=tolerance,spacing=spacing,minspace=minspace, extend=extend)
shape = self.__results['original'].shape
blobs = self.__results['blobs']
tolerance = self.lattice_config['tolerance']
spacing = self.lattice_config['spacing']
extend = self.lattice_config['extend']
# make make list of blob coords:
points = []
pointdict = {}
if len(blobs) < 2 and extend !='off':
self.__update_result('holes', [])
return
for blob in blobs:
point = tuple(blob.stats['center'])
points.append(point)
pointdict[point] = blob
if extend == '3x3':
# Not to use points to determine Lattice but continue with extension
best_lattice = True
else:
best_lattice = lattice.pointsToLattice(points, spacing, tolerance)
if best_lattice is None:
best_lattice_points = []
holes = []
elif extend == 'full':
best_lattice_points = best_lattice.raster(shape)
best_lattice_points = best_lattice.optimizeRaster(best_lattice_points,best_lattice.points)
holes = self.points_to_blobs(best_lattice_points)
elif extend == '3x3':
best_lattice_points = self.convolve3x3WithBlobPoints(points)
holes = self.points_to_blobs(best_lattice_points)
else:
best_lattice_points = best_lattice.points
holes = [pointdict[tuple(point)] for point in best_lattice_points]
self.__update_result('lattice', best_lattice)
if best_lattice is None:
self.__update_result('holes', [])
else:
self.__update_result('holes', holes)
def convolve3x3WithBlobPoints(self,points):
if len(points) < 2:
self.logger.warning('Need at least 2 point to determine 3x3 patter orientation')
return []
shape = self.__results['original'].shape
tolerance = self.lattice_config['tolerance']
spacing = self.lattice_config['spacing']
total_lattice_points = []
# Use the first two points to get the rotation of the 3x3 holes
vector = (points[1][0]-points[0][0],points[1][1]-points[0][1])
vector_length = math.hypot(vector[0],vector[1])
# scaling the 3x3 pattern to have the spacing of the lattice_config
scaled_vector = map((lambda x: x*spacing/vector_length),vector)
def shiftpoint(point,vector):
return (point[0]+vector[0],point[1]+vector[1])
for point in points:
newpoints = [point,shiftpoint(point,scaled_vector)]
best_lattice = lattice.pointsToLattice(newpoints, spacing, tolerance, first_is_center=True)
best_lattice_points = best_lattice.raster(shape, layers=1)
total_lattice_points.extend(best_lattice_points)
return total_lattice_points