def ndarray(classtype, dimensions):
""" E.g. for a two-dimensional native double array, use:
arr = ndarray(Double.TYPE, [3, 4])
which is equivalent to, using the jython jarray library:
arr = array((zeros(4, 'd'), zeros(4, 'd'), zeros(4, 'd')), Class.forName("[D"))
but here the native array is created via java.lang.reflect.Array.newInstance(class, dimensions).
"""
return newArray(classtype, dimensions)
def nativeArray(stype, dimensions):
""" Create a native java array such as a double[3][4] like:
arr = nativeArray('d', (3, 4))
stype is one of:
'c': char
'b': byte
's': short
'h': short (like in the jarray package)
'i': integer
'l': long
'f': float
'd': double
'z': boolean
"""
return newArray(__nativeClass[stype].TYPE, dimensions)
def nativeArray(stype, dimensions):
""" Create a native java array such as a double[3][4] like:
arr = nativeArray('d', (3, 4))
In other words, trivially create primitive two-dimensional arrays
or multi-dimensional arrays from Jython.
Additionally, if dimensions is a digit, the array has a single dimension.
stype is one of:
'c': char
'b': byte
's': short
'h': short (like in the jarray package)
'i': integer
'l': long
'f': float
'd': double
'z': boolean
"""
return newArray(primitiveTypeClass[stype].TYPE, dimensions)
try:
modelFound = model.filterRansac(candidates, inliers, 1000, maxEpsilon,
minInlierRatio, minNumInliers)
if modelFound:
# Apply the transformation defined by the model to the first point
# of each pair (PointMatch) of points. That is, to the point from
# the first image.
PointMatch.apply(inliers, model)
except NotEnoughDataPointsException, e:
print e
if modelFound:
print("SUCCESS! Saving results...")
# Register images
rigid = newArray(Double.TYPE, (6, ))
model.toArray(rigid)
line = "%d,%s,%s,%lf,%lf,%lf,%lf,%lf,%lf,%lf,%d\n" % (
i, list1[i], list2[i], rigid[0], rigid[1], rigid[2], rigid[3],
rigid[4], rigid[5], model.cost, 1)
f.write(line)
print("Done.")
print
else:
line = "%d,%s,%s,%lf,%lf,%lf,%lf,%lf,%lf,%lf,%d\n" % (
i, list1[i], list2[i], 1, 0, 0, 1, 0, 0, model.cost, 0)
f.write(line)
print("Some problem occured for image pair %d..." % (i + 1))
print
f.close()