def testColorSums(self):
"""Check that subdivision depth doesn't change the total amount of light."""
image = IECore.Reader.create(
"test/IECoreImage/data/exr/carPark.exr").read()
for n in ["R", "G", "B"]:
p = image[n]
p.data = IECore.DataCastOp()(
object=image[n],
targetType=IECore.FloatVectorData.staticTypeId())
image[n] = p
lastColorSum = None
for i in range(0, 10):
lights = IECoreImage.EnvMapSampler()(image=image,
subdivisionDepth=i)
colorSum = sum(lights["colors"], imath.Color3f(0))
if lastColorSum:
self.assertAlmostEqual(colorSum[0], lastColorSum[0], 5)
self.assertAlmostEqual(colorSum[1], lastColorSum[1], 5)
self.assertAlmostEqual(colorSum[2], lastColorSum[2], 5)
lastColorSum = colorSum
def test(self):
image = IECore.Reader.create(
"test/IECoreImage/data/exr/carPark.exr").read()
for n in ["R", "G", "B"]:
p = image[n]
p.data = IECore.DataCastOp()(
object=image[n],
targetType=IECore.FloatVectorData.staticTypeId())
image[n] = p
lights = IECoreImage.EnvMapSampler()(image=image, subdivisionDepth=5)
self.assertEqual(len(lights), 2)
directions = lights["directions"]
colors = lights["colors"]
self.assert_(
directions.isInstanceOf(IECore.V3fVectorData.staticTypeId()))
self.assert_(
colors.isInstanceOf(IECore.Color3fVectorData.staticTypeId()))
self.assertEqual(len(directions), len(colors))
self.assertEqual(len(directions), 32)
for d in directions:
self.assertAlmostEqual(d.length(), 1, 6)