def testPixelOutputSpace(self):
i = IECore.Reader.create(
"test/IECoreImage/data/tiff/singlePixelT.tif").read()
o = IECoreImage.CurveTracer()
c = o(image=i, channelName="R", minimumLength=0)
self.assertEqual(
c.bound(), IECore.Box3f(IECore.V3f(1, 7, 0), IECore.V3f(9, 11, 0)))
self.failUnless(IECore.V3f(1, 7, 0) in c["P"].data)
self.failUnless(IECore.V3f(7, 11, 0) in c["P"].data)
self.failUnless(IECore.V3f(9, 7, 0) in c["P"].data)
def testObjectOutputSpace(self):
i = IECore.Reader.create(
"test/IECoreImage/data/tiff/singlePixelT.tif").read()
o = IECoreImage.CurveTracer()
o["outputSpace"].setValue("object")
c = o(image=i, channelName="R", minimumLength=0)
self.failUnless(c.bound().min.equalWithAbsError(
IECore.V3f(-6, -4, 0), 0.00001))
self.failUnless(c.bound().max.equalWithAbsError(
IECore.V3f(2, 0, 0), 0.00001))
def test(self):
i = IECore.Reader.create(
"test/IECoreImage/data/tiff/toTrace.tif").read()
o = IECoreImage.ImageThinner()
o(input=i, copyInput=False, channels=IECore.StringVectorData(["R"]))
o = IECoreImage.CurveTracer()
c = o(image=i, channelName="R")
e = IECore.CurvesPrimitiveEvaluator(c)
r = e.createResult()
size = i.dataWindow.size() + IECore.V2i(1)
pixels = i["R"]
pi = 0
for y in range(0, size.y):
for x in range(0, size.x):
if pixels[pi] > 0.5:
pp = IECore.V3f(x, y, 0)
e.closestPoint(pp, r)
self.failUnless(abs((pp - r.point()).length()) < 3)
pi += 1
